Show HN: Convert to Bitcoin Using This Simple Node.js Module
2 by majikarp | 0 comments on Hacker News.
Saturday, 31 August 2019
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Show HN: Create-react-extension for browser extensions
4 by vasilydshelkov | 1 comments on Hacker News.
4 by vasilydshelkov | 1 comments on Hacker News.
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Show HN: Getting the Lastest Scala Language Specification Pdf
2 by Ldpe2G | 0 comments on Hacker News.
2 by Ldpe2G | 0 comments on Hacker News.
Friday, 30 August 2019
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Show HN: New version released 1.1 – Full featured Vue file upload component
1 by safrazik | 0 comments on Hacker News.
1 by safrazik | 0 comments on Hacker News.
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Show HN: Basic Randomized Decision Forest (C++) that reaches 96.5% on MNIST
2 by platunit2 | 0 comments on Hacker News.
2 by platunit2 | 0 comments on Hacker News.
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Show HN: Titanoboa – distributed workflows for JVM (written in Clojure)
2 by newcrobuzon | 0 comments on Hacker News.
2 by newcrobuzon | 0 comments on Hacker News.
Thursday, 29 August 2019
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Show HN: The Mindfulness Behind Assisted Graphics Engineering Toolset for GLSL
2 by wonglok831 | 0 comments on Hacker News.
2 by wonglok831 | 0 comments on Hacker News.
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Show HN: Consider Groups – Like Slack Channels for Email
7 by josh_steiner | 0 comments on Hacker News.
7 by josh_steiner | 0 comments on Hacker News.
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Show HN: Using Crypto for Data Ownership and Privacy with Virtru SDK and Dev Hub
5 by DHowitzer | 0 comments on Hacker News.
5 by DHowitzer | 0 comments on Hacker News.
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Show HN: Real world (Jupyter notebook embed) way to assess data scientists
12 by rvivek | 1 comments on Hacker News.
12 by rvivek | 1 comments on Hacker News.
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Show HN: I created an alternative to Crowdfunding for devs, programmers etc.
2 by MikeDaniel | 0 comments on Hacker News.
2 by MikeDaniel | 0 comments on Hacker News.
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Show HN: Zepel, a Jira alternative for product teams
4 by gauthamshankar | 0 comments on Hacker News.
4 by gauthamshankar | 0 comments on Hacker News.
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Show HN: Alligator Browser/0.33.2 (Alpha) – Acalypha Indica
2 by void_nill | 0 comments on Hacker News.
2 by void_nill | 0 comments on Hacker News.
Wednesday, 28 August 2019
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Show HN: Ray tracing 25 scenes in 25 days with POV-Ray (2013)
2 by susam | 0 comments on Hacker News.
2 by susam | 0 comments on Hacker News.
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Show HN: Quickly setup and develop Go WebAssembly front end apps
2 by v1rtl | 0 comments on Hacker News.
2 by v1rtl | 0 comments on Hacker News.
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Show HN: Crypto-Aggregator: An Open Source Alternative to CoinMarketCap
2 by ourarash | 0 comments on Hacker News.
2 by ourarash | 0 comments on Hacker News.
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Show HN: DebOps – Ansible framework for managing Debian-based environments
3 by drybjed | 1 comments on Hacker News.
3 by drybjed | 1 comments on Hacker News.
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Show HN: NeuralCam Night Photo – The Night Mode Camera App for Your iPhone
2 by soonpls | 0 comments on Hacker News.
2 by soonpls | 0 comments on Hacker News.
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I created Postwoman – An online, open-source API request builder
15 by liyasthomas | 7 comments on Hacker News.
15 by liyasthomas | 7 comments on Hacker News.
Tuesday, 27 August 2019
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Show HN: Shaai – An open source, highly customisable blogging framework
2 by mohitk05 | 0 comments on Hacker News.
2 by mohitk05 | 0 comments on Hacker News.
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Show HN: Repository of open source space-related software and hardware
2 by tectonic | 0 comments on Hacker News.
2 by tectonic | 0 comments on Hacker News.
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Show HN: Wave-based non-line-of-sight computational imaging in Julia
5 by krrutkow | 1 comments on Hacker News.
5 by krrutkow | 1 comments on Hacker News.
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Show HN: Dat-keyserver: a distributed PGP keyserver based on the dat protocol
2 by tdjsnelling | 0 comments on Hacker News.
2 by tdjsnelling | 0 comments on Hacker News.
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Private cloud at home – no server needed, no complicated installation
36 by louisknows | 39 comments on Hacker News.
36 by louisknows | 39 comments on Hacker News.
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Launch HN: Coursedog (YC W19) – Resource Planning Software for Higher Ed
1 by jwenig | 0 comments on Hacker News.
Hi HN! I’m Justin Wenig, a co-founder of Coursedog ( https://ift.tt/2U6D1oL ). We build enterprise resource-planning software for higher education, starting with schedule and curriculum planning. As of today, 40 universities such as Columbia and BYU use our platform to build their class schedule, manage degree programs and publish the catalog to students. My co-founder Nick Diao and I were CS majors at Columbia. We were motivated but mediocre students, skipping class and constantly building sorta-used not-product-market-fit apps that never took off. During our Junior year, we realized how difficult it was to register for the CS classes we wanted to take, and had the unspecific but weirdly prescient lightbulb moment that all university students have where they say "wow university software sucks". We reached out to Columbia University's IT department and learned that most universities build their schedules with a combination of excel spreadsheets, manual horse/brain/caffeine-power and SQL reports to clean up inevitable errors. It seemed like an obvious opportunity to take a swing at a business. We spent that summer working out of a sweaty lounge at Columbia, awkwardly cold-calling University Registrars and building a Vue/Node web app to help universities optimize their class schedules. We utilized a mixed integer programming algorithm to optimize time and room assignments based on student + faculty preferences and space constraints, and reluctantly built a user interface for manual edits when university politics inevitably messed up our Moneyball-esque optimization. And we had bugs. Luckily for us, compared to the existing on-prem solutions and excel spreadsheets that could make the most dedicated investment banker blush, 40+ universities tolerated us enough to buy our $150K+ multi-year contract solution within a year and a half. Although we’re focused on schedule and curriculum planning for now, it turns out that all higher education administration software is sort of very bad. Fun fact: There are 5 universities in the country on a cloud based enterprise resource planing solution. 5. As such, we feel pretty good about going down the line and rebuilding the whole thing from scratch: registration, advising, financials, all of it. That's the long-term vision. If you might want to work on something like that, please get in touch. We're hiring for the long term, but also right now 30 schools call us at all hours of the night, we launched 4 products this year and will be launching another 4 next year, and we could use engineers with brains that are more developed than ours. Nick and I would like your feedback on all of the above, are happy to answer questions, and look forward to hearing about your experiences and ideas to improve university software. Fire away HN!
1 by jwenig | 0 comments on Hacker News.
Hi HN! I’m Justin Wenig, a co-founder of Coursedog ( https://ift.tt/2U6D1oL ). We build enterprise resource-planning software for higher education, starting with schedule and curriculum planning. As of today, 40 universities such as Columbia and BYU use our platform to build their class schedule, manage degree programs and publish the catalog to students. My co-founder Nick Diao and I were CS majors at Columbia. We were motivated but mediocre students, skipping class and constantly building sorta-used not-product-market-fit apps that never took off. During our Junior year, we realized how difficult it was to register for the CS classes we wanted to take, and had the unspecific but weirdly prescient lightbulb moment that all university students have where they say "wow university software sucks". We reached out to Columbia University's IT department and learned that most universities build their schedules with a combination of excel spreadsheets, manual horse/brain/caffeine-power and SQL reports to clean up inevitable errors. It seemed like an obvious opportunity to take a swing at a business. We spent that summer working out of a sweaty lounge at Columbia, awkwardly cold-calling University Registrars and building a Vue/Node web app to help universities optimize their class schedules. We utilized a mixed integer programming algorithm to optimize time and room assignments based on student + faculty preferences and space constraints, and reluctantly built a user interface for manual edits when university politics inevitably messed up our Moneyball-esque optimization. And we had bugs. Luckily for us, compared to the existing on-prem solutions and excel spreadsheets that could make the most dedicated investment banker blush, 40+ universities tolerated us enough to buy our $150K+ multi-year contract solution within a year and a half. Although we’re focused on schedule and curriculum planning for now, it turns out that all higher education administration software is sort of very bad. Fun fact: There are 5 universities in the country on a cloud based enterprise resource planing solution. 5. As such, we feel pretty good about going down the line and rebuilding the whole thing from scratch: registration, advising, financials, all of it. That's the long-term vision. If you might want to work on something like that, please get in touch. We're hiring for the long term, but also right now 30 schools call us at all hours of the night, we launched 4 products this year and will be launching another 4 next year, and we could use engineers with brains that are more developed than ours. Nick and I would like your feedback on all of the above, are happy to answer questions, and look forward to hearing about your experiences and ideas to improve university software. Fire away HN!
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Show HN: Joob – A simple and flexible batch job manager for JavaScript
2 by jamohile | 0 comments on Hacker News.
2 by jamohile | 0 comments on Hacker News.
Monday, 26 August 2019
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Show HN: Tool for WebSocket benchmarks with Millions of concurrent connections
6 by lganzzzo | 2 comments on Hacker News.
6 by lganzzzo | 2 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Python module that determines a host's cloud provider
2 by dgzlopes | 0 comments on Hacker News.
2 by dgzlopes | 0 comments on Hacker News.
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Launch HN: Memfault (YC W19) – Crashlytics for Firmware
2 by fra | 0 comments on Hacker News.
Hi everyone! We're Chris, François, and Tyler, founders of Memfault (https://memfault.com). Memfault helps firmware teams find and fix issues before customers start calling (or worse, tweeting!) by providing a small <3kB SDK to include in the firmware and a web dashboard to manage releases, monitor devices, and view crashes. In the software world, Crashlytics, Sentry, and other error monitoring systems have been offering similar solutions for years. Memfault is the first such solution for firmware. Embedded devices today are very different from ones built 10 years ago. Then, a device would run a small piece of firmware in a while() loop, capture input, compute some logic, write to a small 7-segment display, and that was about it. Today, new products have a wireless connection to the internet, a bright 320x320 full color LCD, a high quality microphone and speaker for Alexa integration, and sometimes even run machine learning or computer vision algorithms on device! Building hardware products in 2019 is a significant software project, it requires software tools. The three of us met at Pebble in 2013, where we shipped 4 watches together. Chris and Tyler went on to work at Fitbit, while François went to Oculus. Each time, we found ourselves building all of our tools from scratch which slowed us down tremendously. Imagine having to build a log collection solution every time you want to build a new web app! As a result of the effort required to build them, the tools available to firmware engineers are not up to the task. For example, the state of the art in debugging requires connecting a physical debugger to your board. To investigate an error report from the field, customers must be contacted, devices shipped back, and enclosures disassembled. By the time this is all done, flash logs have rolled over, variables have reset, and developers are left scraping together raw data from flash to debug the issue. It can take weeks to get to the bottom of an issue that would be root caused in minutes with reasonable tools. We've long wanted to show people what Memfault can do without the hurdle of integrating our SDK into their code. Today, we are launching a zero code, try-it-at-your-desk version of our tool available at https://memfault.com (click on the "Try Memfault" button"). In about 5 minutes, you should be able to connect a ARM Cortex-M based development board and upload an error report using a GDB script. If you do not have a board, you'll be able to interact with an example error report. We could go in at length about the implementations (ask us questions in the comments!). One thing we're especially proud of is the "Globals & Statics" tab which lets you query the state of any static or global variable in your system. To get this to work, we cross compiled libdwarf to wasm via emscripten and used it to implement parts of an in-browser debugger which can be used to look up values for a known symbol given an elf file and a Memfault core file. We'd love to hear what you think, and find out what other tools you've found helpful in this space. Looking forward to the discussion!
2 by fra | 0 comments on Hacker News.
Hi everyone! We're Chris, François, and Tyler, founders of Memfault (https://memfault.com). Memfault helps firmware teams find and fix issues before customers start calling (or worse, tweeting!) by providing a small <3kB SDK to include in the firmware and a web dashboard to manage releases, monitor devices, and view crashes. In the software world, Crashlytics, Sentry, and other error monitoring systems have been offering similar solutions for years. Memfault is the first such solution for firmware. Embedded devices today are very different from ones built 10 years ago. Then, a device would run a small piece of firmware in a while() loop, capture input, compute some logic, write to a small 7-segment display, and that was about it. Today, new products have a wireless connection to the internet, a bright 320x320 full color LCD, a high quality microphone and speaker for Alexa integration, and sometimes even run machine learning or computer vision algorithms on device! Building hardware products in 2019 is a significant software project, it requires software tools. The three of us met at Pebble in 2013, where we shipped 4 watches together. Chris and Tyler went on to work at Fitbit, while François went to Oculus. Each time, we found ourselves building all of our tools from scratch which slowed us down tremendously. Imagine having to build a log collection solution every time you want to build a new web app! As a result of the effort required to build them, the tools available to firmware engineers are not up to the task. For example, the state of the art in debugging requires connecting a physical debugger to your board. To investigate an error report from the field, customers must be contacted, devices shipped back, and enclosures disassembled. By the time this is all done, flash logs have rolled over, variables have reset, and developers are left scraping together raw data from flash to debug the issue. It can take weeks to get to the bottom of an issue that would be root caused in minutes with reasonable tools. We've long wanted to show people what Memfault can do without the hurdle of integrating our SDK into their code. Today, we are launching a zero code, try-it-at-your-desk version of our tool available at https://memfault.com (click on the "Try Memfault" button"). In about 5 minutes, you should be able to connect a ARM Cortex-M based development board and upload an error report using a GDB script. If you do not have a board, you'll be able to interact with an example error report. We could go in at length about the implementations (ask us questions in the comments!). One thing we're especially proud of is the "Globals & Statics" tab which lets you query the state of any static or global variable in your system. To get this to work, we cross compiled libdwarf to wasm via emscripten and used it to implement parts of an in-browser debugger which can be used to look up values for a known symbol given an elf file and a Memfault core file. We'd love to hear what you think, and find out what other tools you've found helpful in this space. Looking forward to the discussion!
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Show HN: Zero-Config Documentation Websites for Python
2 by timothycrosley | 0 comments on Hacker News.
2 by timothycrosley | 0 comments on Hacker News.
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Show HN: Fyipe – Status Page, PagerDuty, Pingdom All in One
2 by valeria_m23 | 0 comments on Hacker News.
2 by valeria_m23 | 0 comments on Hacker News.
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Show HN: McDonalds' outlets in the US represented by Burger emoji's
2 by ronaldl93 | 1 comments on Hacker News.
2 by ronaldl93 | 1 comments on Hacker News.
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Show HN: Awesome-Ruby-AST – a list of AST related tooling in Ruby
3 by rajasegarc | 0 comments on Hacker News.
3 by rajasegarc | 0 comments on Hacker News.
Sunday, 25 August 2019
Saturday, 24 August 2019
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Show HN: DB/ER diagrams from Postgres(uses dbdiagram.io)
3 by whoisninja | 0 comments on Hacker News.
3 by whoisninja | 0 comments on Hacker News.
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Show HN: In any network, identify experts, monitor satisfaction and influence
4 by lettergram | 1 comments on Hacker News.
4 by lettergram | 1 comments on Hacker News.
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We started Sourcery: get a free, self-updating website in 5sec
93 by jarnoux | 31 comments on Hacker News.
93 by jarnoux | 31 comments on Hacker News.
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Show HN: I Built a Digital Circuit Simulator to Build an 8bit CPU
2 by bytter | 0 comments on Hacker News.
2 by bytter | 0 comments on Hacker News.
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Show HN: Compose tcpdump expressions using simple Pythonic syntax
2 by t_w_s | 0 comments on Hacker News.
2 by t_w_s | 0 comments on Hacker News.
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Show HN: A CLI tool for maintaining datasets in a centralized repository
2 by nightrunner11 | 0 comments on Hacker News.
2 by nightrunner11 | 0 comments on Hacker News.
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Show HN: Xezilaires – a simple PHP library to read structured Excel files
2 by dkarlovi | 1 comments on Hacker News.
2 by dkarlovi | 1 comments on Hacker News.
Friday, 23 August 2019
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Show HN: YouTube Decade – See the most viewed videos posted 10 years ago
4 by bennettfeely | 0 comments on Hacker News.
4 by bennettfeely | 0 comments on Hacker News.
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Show HN: StoryForj – Explain things visually, from concepts to how-to's
4 by parris | 0 comments on Hacker News.
4 by parris | 0 comments on Hacker News.
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Show HN: Free Automated QA Testing: AI Finds, Creates, & Repairs Your UI Tests
2 by bgemborys | 1 comments on Hacker News.
2 by bgemborys | 1 comments on Hacker News.
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Show HN: Magic Spellbook” Raspberry Pi Kiosk for Total Home Control
2 by ZaneClaes | 0 comments on Hacker News.
2 by ZaneClaes | 0 comments on Hacker News.
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Show HN: SponsorBlock – Skip YouTube sponsorships and report them
2 by ajayyy | 0 comments on Hacker News.
2 by ajayyy | 0 comments on Hacker News.
Thursday, 22 August 2019
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Show HN: Mistake Log – track and reflect on your mistakes and failures
3 by stollercyrus | 1 comments on Hacker News.
3 by stollercyrus | 1 comments on Hacker News.
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Show HN: A platform for devs to collaborate and split profits on contribution
1 by MikeDaniel | 0 comments on Hacker News.
1 by MikeDaniel | 0 comments on Hacker News.
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Show HN: Scarf – Platform to help open source developers monetize their work
2 by aviaviavi | 0 comments on Hacker News.
2 by aviaviavi | 0 comments on Hacker News.
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Show HN: How to build a web library from useful web contents
2 by CihanGeyik | 0 comments on Hacker News.
2 by CihanGeyik | 0 comments on Hacker News.
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Show HN: Weekly mail digests for personal Reddit custom feeds
2 by andreasscherman | 1 comments on Hacker News.
2 by andreasscherman | 1 comments on Hacker News.
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Show HN: Interactive hacking demo of Capital One security breach
2 by dkozyatinskiy | 0 comments on Hacker News.
2 by dkozyatinskiy | 0 comments on Hacker News.
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Show HN: LineFlow – Simple NLP Dataset Handler for PyTorch or Any Framework
3 by yasufumy | 0 comments on Hacker News.
3 by yasufumy | 0 comments on Hacker News.
Wednesday, 21 August 2019
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Show HN: Build a great web library for your team
2 by CihanGeyik | 0 comments on Hacker News.
You can save, store, send, find or revisit links in one-click via Kangaroo. And also, your team could discuss in web pages soon. This will be great for inspiring by web contents. You can store helpful pdfs, videos, articles, tools, social media contents, and every web pages whatever you need. Kangaroo is a huge time saver and brainstorming tool for improving business. Beta is now available: https://usekangaroo.com & http://bit.ly/addKangarootoChrome
2 by CihanGeyik | 0 comments on Hacker News.
You can save, store, send, find or revisit links in one-click via Kangaroo. And also, your team could discuss in web pages soon. This will be great for inspiring by web contents. You can store helpful pdfs, videos, articles, tools, social media contents, and every web pages whatever you need. Kangaroo is a huge time saver and brainstorming tool for improving business. Beta is now available: https://usekangaroo.com & http://bit.ly/addKangarootoChrome
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Show HN: Integrate and Automate Your Apps with Easy to Customize Bots
2 by Orin-zzBots | 0 comments on Hacker News.
2 by Orin-zzBots | 0 comments on Hacker News.
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Show HN: Figma-like measurement tool on any web page (Chrome extension)
3 by alexratmansky | 0 comments on Hacker News.
3 by alexratmansky | 0 comments on Hacker News.
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Show HN: Requestbin.com – A modern take on the old RequestBin
7 by todsac | 1 comments on Hacker News.
7 by todsac | 1 comments on Hacker News.
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Show HN: C++ Implementation of the Side Window Filtering(CVPR 2019)
2 by Ldpe2G | 0 comments on Hacker News.
2 by Ldpe2G | 0 comments on Hacker News.
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Show HN: NewsFeeder – Dead simple product updates
2 by alchmarius | 0 comments on Hacker News.
https://ift.tt/2MvRh9l Me and my co-founder are excited to show the world initial version of NewsFeeder which we worked for the last few months. NewsFeeder wants to enable small teams to have a dead simple approach on updating users with product updates and get immediate feedback while increase user engagement. I would appreciate any questions or feedback you have.
2 by alchmarius | 0 comments on Hacker News.
https://ift.tt/2MvRh9l Me and my co-founder are excited to show the world initial version of NewsFeeder which we worked for the last few months. NewsFeeder wants to enable small teams to have a dead simple approach on updating users with product updates and get immediate feedback while increase user engagement. I would appreciate any questions or feedback you have.
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Show HN: Mead – how I'm pushing back against Medium
2 by callahanrts | 0 comments on Hacker News.
https://ift.tt/2zdciNA TLDR; Mead is a special case static site generator that automates the process of compiling and uploading to your S3 account. Mead is a desktop application that combines the flexibility of static site generators (Jekyll, Hugo, etc) with Medium's ease of publishing. I created Mead because I wanted to write more and the present options put up too many obstacles. Like many others, I don't like the experience Medium offers to readers. Modals and banners distract the user from engaging with the content and in some cases, prevents them entirely. Static site generators are great in terms of their flexibility. They're the only way we can fully control what trackers and advertisements readers are exposed to. However, the writing process is a bit cumbersome. I often forget the commands I need to run, and I'd like to not have to run 3 git commands every time I notice a typo. Mead, at its core, prioritizes simplicity. It was made so I could easily open up an app on my computer, write some text, add an image (automatically uploading to S3), paste in a code snippet, click a button, and have the whole thing public without any other effort. Mead is also an experiment in creating a product that does not need advertisements or trackers to continue existing. My goal here is to fully respect the privacy of others. If I'm failing in some way, please gently point it out and I will make the necessary corrections. If you have any comments, feedback, or feature requests, please feel free to reach out. My email is [my username] at gmail
2 by callahanrts | 0 comments on Hacker News.
https://ift.tt/2zdciNA TLDR; Mead is a special case static site generator that automates the process of compiling and uploading to your S3 account. Mead is a desktop application that combines the flexibility of static site generators (Jekyll, Hugo, etc) with Medium's ease of publishing. I created Mead because I wanted to write more and the present options put up too many obstacles. Like many others, I don't like the experience Medium offers to readers. Modals and banners distract the user from engaging with the content and in some cases, prevents them entirely. Static site generators are great in terms of their flexibility. They're the only way we can fully control what trackers and advertisements readers are exposed to. However, the writing process is a bit cumbersome. I often forget the commands I need to run, and I'd like to not have to run 3 git commands every time I notice a typo. Mead, at its core, prioritizes simplicity. It was made so I could easily open up an app on my computer, write some text, add an image (automatically uploading to S3), paste in a code snippet, click a button, and have the whole thing public without any other effort. Mead is also an experiment in creating a product that does not need advertisements or trackers to continue existing. My goal here is to fully respect the privacy of others. If I'm failing in some way, please gently point it out and I will make the necessary corrections. If you have any comments, feedback, or feature requests, please feel free to reach out. My email is [my username] at gmail
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Show HN: Featmap – a user story mapping tool built with Go, React and TypeScript
2 by trastentrasten | 0 comments on Hacker News.
2 by trastentrasten | 0 comments on Hacker News.
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Show HN: IOU - Track shared expenses much simpler than Splitwise (no login)
3 by janberchtold | 0 comments on Hacker News.
3 by janberchtold | 0 comments on Hacker News.
Tuesday, 20 August 2019
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Show HN: Dashboard, self-hosted accounts, orgs and subscriptions for web apps
2 by benologist | 0 comments on Hacker News.
2 by benologist | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Interactive hacking demo of Capital One security breach
4 by dkozyatinskiy | 0 comments on Hacker News.
4 by dkozyatinskiy | 0 comments on Hacker News.
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Show HN: Resumable file upload (TUS protocol implementation) using pure bash
3 by adhocore | 0 comments on Hacker News.
3 by adhocore | 0 comments on Hacker News.
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Show HN: A subreddit dedicated to beta-reading
2 by ThatsThats | 1 comments on Hacker News.
(it's naked and will stay naked for at least a week or two) There are stuff like Discord or Scribophile, which can provide good opportunites, but it's such a mess and sometimes it can be frustrating - for both parties. So, r/betareading is meant to become a platform for both parties to meet and exchange freely. I'll have more free time soon to work on the subreddit and promote it. Probably will add guidelines for both writers and beta-readers. Because a writer can name the genre of his text and his length, but beta-readers skills should be categorized and made public: from grammar to pacing or character development, including favorite genres, format, languages spoken fluently and time available. And maybe a wiki afterwards. This has always existed presumably, it's time to make it more formal. For writers I see two advantages: - easier to send your copy to your stranger than maybe to a buddy - a good, well-read and well-trained beta-reader will provide better feedback than your bud For beta-readers I see one advantage: - easier than to lurk Scribophile for a month wondering wth happens over there, or to join Discord and read thousands of pages of Sonic fanfic https://ift.tt/2NlIlDa In the meantime, feel free to join and stick to the one and only rule existing for now; tag your titles with [R] or [BR]!
2 by ThatsThats | 1 comments on Hacker News.
(it's naked and will stay naked for at least a week or two) There are stuff like Discord or Scribophile, which can provide good opportunites, but it's such a mess and sometimes it can be frustrating - for both parties. So, r/betareading is meant to become a platform for both parties to meet and exchange freely. I'll have more free time soon to work on the subreddit and promote it. Probably will add guidelines for both writers and beta-readers. Because a writer can name the genre of his text and his length, but beta-readers skills should be categorized and made public: from grammar to pacing or character development, including favorite genres, format, languages spoken fluently and time available. And maybe a wiki afterwards. This has always existed presumably, it's time to make it more formal. For writers I see two advantages: - easier to send your copy to your stranger than maybe to a buddy - a good, well-read and well-trained beta-reader will provide better feedback than your bud For beta-readers I see one advantage: - easier than to lurk Scribophile for a month wondering wth happens over there, or to join Discord and read thousands of pages of Sonic fanfic https://ift.tt/2NlIlDa In the meantime, feel free to join and stick to the one and only rule existing for now; tag your titles with [R] or [BR]!
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Show HN: Zenduty – Next-Gen Incident Management for SRE and DevOps
2 by vishwa306 | 0 comments on Hacker News.
2 by vishwa306 | 0 comments on Hacker News.
Monday, 19 August 2019
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Show HN: TabNine Local – deep code completion on your laptop
2 by jacob-jackson | 0 comments on Hacker News.
2 by jacob-jackson | 0 comments on Hacker News.
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Show HN: I Made a Machine Learning Algorithm Repository
2 by seanalexander | 0 comments on Hacker News.
2 by seanalexander | 0 comments on Hacker News.
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Show HN: Instant – A JavaScript SDK and IDE for automating video post-production
4 by champhypno | 2 comments on Hacker News.
4 by champhypno | 2 comments on Hacker News.
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Show HN: A little web app for playing around with colors
2 by longsangstan | 0 comments on Hacker News.
2 by longsangstan | 0 comments on Hacker News.
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Show HN: K3sup (ketchup) 0.2.0 – install and build Kubernetes clusters with k3s
6 by alexellisuk | 0 comments on Hacker News.
6 by alexellisuk | 0 comments on Hacker News.
Sunday, 18 August 2019
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Show HN: Smartip.io – Reliable and Accurate IP Geolocation and Threat API
2 by kevinjyc | 1 comments on Hacker News.
2 by kevinjyc | 1 comments on Hacker News.
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Launch HN: Relatively No-Frills Product Hunt Launch Checklist
2 by makarov | 0 comments on Hacker News.
In preparation for our own Product Hunt launch we have started reading about best practices and pre-launch procedures. Having gathered them in an ugly to-do list, we realised that others might find it useful as well. So we made it a bit prettier and decided to share it hoping that it will make someone's life easier. This to-do list is mainly focused on tasks you can achieve in under 7 days, but you can of course copy it to your GDrive and adjust to your own needs. Please, let us know if you find this to-do list helpful and we wish everyone a successful Product Hunt launch. And here's the link: https://ift.tt/2Nen5PI
2 by makarov | 0 comments on Hacker News.
In preparation for our own Product Hunt launch we have started reading about best practices and pre-launch procedures. Having gathered them in an ugly to-do list, we realised that others might find it useful as well. So we made it a bit prettier and decided to share it hoping that it will make someone's life easier. This to-do list is mainly focused on tasks you can achieve in under 7 days, but you can of course copy it to your GDrive and adjust to your own needs. Please, let us know if you find this to-do list helpful and we wish everyone a successful Product Hunt launch. And here's the link: https://ift.tt/2Nen5PI
Saturday, 17 August 2019
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Show HN: Journyal – record all your travels in the background
2 by journyal | 0 comments on Hacker News.
2 by journyal | 0 comments on Hacker News.
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Show HN: Register expiring premium domain names for just $99
3 by traviswingo | 0 comments on Hacker News.
3 by traviswingo | 0 comments on Hacker News.
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Show HN: Saag as a Service – macronutrient-portioned Indian spinach curry
2 by sohamsankaran | 1 comments on Hacker News.
2 by sohamsankaran | 1 comments on Hacker News.
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Show HN: ClojureScript pixel game engine with Blender live-reloading
2 by chr15m | 0 comments on Hacker News.
2 by chr15m | 0 comments on Hacker News.
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Show HN: Software jobs with a difference. Filter jobs by interview type
2 by JamieF1 | 1 comments on Hacker News.
2 by JamieF1 | 1 comments on Hacker News.
Friday, 16 August 2019
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Launch HN: SannTek (YC S19) – Breathalyzer for Cannabis
1 by Noah_SannTek | 0 comments on Hacker News.
Hey HN, I'm Noah, co-founder of SannTek. We're building a breathalyzer for cannabis. I bet some of you have had the same idea cross your mind that we had: "If we have a breathalyzer for alcohol, why don't we have a breathalyzer for cannabis?" We're nanotechnology engineering alumni from the University of Waterloo and here are the two factors led into us deciding to pursue this idea: 1. Cannabis was being legalized across Canada and police were completely ill-prepared, so we saw an opportunity to help. 2. As you'll soon find out, the ground-breaking science required to make this device exist was particularly interesting, given our nanotechnology background. Alcohol breathalyzers are fundamentally a fuel cell where the alcohol in your breath sample is oxidized, which then produces an electrical current that the device then translates to BAC. For alcohol, this works because of Henry's Law, which says that at any given temperature the ratio between the concentration of alcohol in the blood and that in the alveolar air in the lungs is constant. Cannabis is a very different beast. Not only is it a non-volatile, fat-soluble molecule, but the mechanism in which THC (the psychoactive component of cannabis) appears in your breath isn't super straight forward. Also, it is present in much lower concentrations in the breath compared to alcohol. Whereas a blood alcohol concentration of 0.08% (the legal limit in most states) might result in a concentration of 208 ppm of ethanol in the breath, a similarly impairing dose of cannabis results in 0.00001 ppm of the drug in breath. Detecting such a low concentration is incredibly difficult, and as a result, cannabis drug use has been detected in a variety of sub-optimal ways. The state of the art is a blood draw, followed by detection of THC at a toxicology laboratory using liquid chromatography-mass spectrometry. While accurate and well-validated, this approach has several problems. First of all, since THC is fat-soluble it remains in a person's body much longer than alcohol, especially if that person is a frequent user. Frequent users have been known to have detectable THC in their blood one week after beginning abstinence. These people are clearly not impaired all week but could be arrested and charged with a DUI based on many states laws across the US. Interestingly, police have the opposite problem with infrequent users. For most people, the concentration of THC in their system will decay quickly post-consumption. It takes around 2 hours (at best) for a police officer to get a blood draw from a suspect. At this point, many people will no longer have detectable THC in their system. Our device solves both these problems for police. Our breathalyzer uses an ultra-sensitive immunosensor to detect the minute concentration of THC in breath. Breath is the better medium for cannabis testing for several reasons. First of all, THC concentration in breath for both frequent users and infrequent users decays below detectable levels within 3-4 hours post-consumption and we have never detected THC in the baseline for any of our subjects. So our device does not incorrectly identify frequent users as impaired as blood testing can. Secondly, the breath tests can be administered quickly roadside, eliminating the risk of concentration decay seen with blood draws. Our device comes with a reusable analyzer and a single-use disposable cartridge. It costs us $2 to make a cartridge, and police are willing to pay $20 per test. An individual will breathe into the mouthpiece, and our filter system will collect exhaled breath particles (specifically non-VOCs). Currently, we manually "extract" the THC off of the filter into a solvent liquid, but in the future, this will be automated using novel microfluidics. The solvent, with the captured THC, is then transferred to the surface of the sensor- which is an electrochemical immunoassay. When the THC is there, the output signal is different than when the THC is not there (happy to dive further into this in the comments if people are interested). We haven't had enough resources to run any formal trials yet to publish data, but that is all changing this year. We've hired a contract research organization, (shout out Curebase), to help us run our very first clinical trial with blood draws. We're going to be looking at the correlation between breath and blood concentrations, at various time intervals after consumption, to validate (or invalidate!) our preliminary in house data. Selling to the police is notoriously difficult, but we're imagining a world where there are one of our devices in every police car in North America. This weekend we exhibited at the IACP DAID and the response from the attendees was great! We have over 30 police departments across North America that have expressed interest in purchasing the device and that number is increasing every day. We're excited to hear all your questions and feedback. I encourage any questions you may have for us :)
1 by Noah_SannTek | 0 comments on Hacker News.
Hey HN, I'm Noah, co-founder of SannTek. We're building a breathalyzer for cannabis. I bet some of you have had the same idea cross your mind that we had: "If we have a breathalyzer for alcohol, why don't we have a breathalyzer for cannabis?" We're nanotechnology engineering alumni from the University of Waterloo and here are the two factors led into us deciding to pursue this idea: 1. Cannabis was being legalized across Canada and police were completely ill-prepared, so we saw an opportunity to help. 2. As you'll soon find out, the ground-breaking science required to make this device exist was particularly interesting, given our nanotechnology background. Alcohol breathalyzers are fundamentally a fuel cell where the alcohol in your breath sample is oxidized, which then produces an electrical current that the device then translates to BAC. For alcohol, this works because of Henry's Law, which says that at any given temperature the ratio between the concentration of alcohol in the blood and that in the alveolar air in the lungs is constant. Cannabis is a very different beast. Not only is it a non-volatile, fat-soluble molecule, but the mechanism in which THC (the psychoactive component of cannabis) appears in your breath isn't super straight forward. Also, it is present in much lower concentrations in the breath compared to alcohol. Whereas a blood alcohol concentration of 0.08% (the legal limit in most states) might result in a concentration of 208 ppm of ethanol in the breath, a similarly impairing dose of cannabis results in 0.00001 ppm of the drug in breath. Detecting such a low concentration is incredibly difficult, and as a result, cannabis drug use has been detected in a variety of sub-optimal ways. The state of the art is a blood draw, followed by detection of THC at a toxicology laboratory using liquid chromatography-mass spectrometry. While accurate and well-validated, this approach has several problems. First of all, since THC is fat-soluble it remains in a person's body much longer than alcohol, especially if that person is a frequent user. Frequent users have been known to have detectable THC in their blood one week after beginning abstinence. These people are clearly not impaired all week but could be arrested and charged with a DUI based on many states laws across the US. Interestingly, police have the opposite problem with infrequent users. For most people, the concentration of THC in their system will decay quickly post-consumption. It takes around 2 hours (at best) for a police officer to get a blood draw from a suspect. At this point, many people will no longer have detectable THC in their system. Our device solves both these problems for police. Our breathalyzer uses an ultra-sensitive immunosensor to detect the minute concentration of THC in breath. Breath is the better medium for cannabis testing for several reasons. First of all, THC concentration in breath for both frequent users and infrequent users decays below detectable levels within 3-4 hours post-consumption and we have never detected THC in the baseline for any of our subjects. So our device does not incorrectly identify frequent users as impaired as blood testing can. Secondly, the breath tests can be administered quickly roadside, eliminating the risk of concentration decay seen with blood draws. Our device comes with a reusable analyzer and a single-use disposable cartridge. It costs us $2 to make a cartridge, and police are willing to pay $20 per test. An individual will breathe into the mouthpiece, and our filter system will collect exhaled breath particles (specifically non-VOCs). Currently, we manually "extract" the THC off of the filter into a solvent liquid, but in the future, this will be automated using novel microfluidics. The solvent, with the captured THC, is then transferred to the surface of the sensor- which is an electrochemical immunoassay. When the THC is there, the output signal is different than when the THC is not there (happy to dive further into this in the comments if people are interested). We haven't had enough resources to run any formal trials yet to publish data, but that is all changing this year. We've hired a contract research organization, (shout out Curebase), to help us run our very first clinical trial with blood draws. We're going to be looking at the correlation between breath and blood concentrations, at various time intervals after consumption, to validate (or invalidate!) our preliminary in house data. Selling to the police is notoriously difficult, but we're imagining a world where there are one of our devices in every police car in North America. This weekend we exhibited at the IACP DAID and the response from the attendees was great! We have over 30 police departments across North America that have expressed interest in purchasing the device and that number is increasing every day. We're excited to hear all your questions and feedback. I encourage any questions you may have for us :)
Thursday, 15 August 2019
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Show HN: Get insider info about your offshore software contractor – for free
2 by Riphyak | 0 comments on Hacker News.
Hi HN, My name is Yura Riphyak and I'm the co-founder of Contractor Intelligence(https://ift.tt/2Z6WSJ7). We help you make a more informed decision when choosing an offshore software development contractor. With demand for software engineers reaching 14 jobs per candidate and CS graduate salaries starting at $120,000, many Bay Area startups consider hiring part or all of their engineering team abroad. Yet outsourcing remains a risky endeavour. Due to the intrinsic conflict of interests (a dev shop maximizes their margin if they manage to sell you their lowest-salary developer for a maximum price), the offshoring industry suffers from the severe adverse selection problem. The dev shops can become very creative in selling you 'lemons'. I personally observed a video interview of a junior developer in Ukraine by a US client, with a senior colleague writing answers on a whiteboard behind the laptop :). I'm from Ukraine, where IT outsourcing contributes to over 3% of GDP. Working for over 10 years in this industry, I have worn both the clients and the service providers shoes - and experienced their distinctive pains myself. As a result in 2017 I co-founded YouTeam (https://youteam.io/)- a platform for building offshore dev teams, that got backed by Y Combinator a year and a half later. Our routine evaluation of service providers includes comprehensive background check, legal due-dil, insider info gathering, and verification of individual devs skills. In total over 400 dev shops and IT consultancies from 32 countries have passed this examination. Yet this still didn't feel like a solid enough step towards "making outsourcing great again". This is why we decided to turn our internal process into something that can be described as 'vetting-as-a-service'. Looking forward to learning your thoughts on Contractor Intelligence and how we can improve it. Thank you!
2 by Riphyak | 0 comments on Hacker News.
Hi HN, My name is Yura Riphyak and I'm the co-founder of Contractor Intelligence(https://ift.tt/2Z6WSJ7). We help you make a more informed decision when choosing an offshore software development contractor. With demand for software engineers reaching 14 jobs per candidate and CS graduate salaries starting at $120,000, many Bay Area startups consider hiring part or all of their engineering team abroad. Yet outsourcing remains a risky endeavour. Due to the intrinsic conflict of interests (a dev shop maximizes their margin if they manage to sell you their lowest-salary developer for a maximum price), the offshoring industry suffers from the severe adverse selection problem. The dev shops can become very creative in selling you 'lemons'. I personally observed a video interview of a junior developer in Ukraine by a US client, with a senior colleague writing answers on a whiteboard behind the laptop :). I'm from Ukraine, where IT outsourcing contributes to over 3% of GDP. Working for over 10 years in this industry, I have worn both the clients and the service providers shoes - and experienced their distinctive pains myself. As a result in 2017 I co-founded YouTeam (https://youteam.io/)- a platform for building offshore dev teams, that got backed by Y Combinator a year and a half later. Our routine evaluation of service providers includes comprehensive background check, legal due-dil, insider info gathering, and verification of individual devs skills. In total over 400 dev shops and IT consultancies from 32 countries have passed this examination. Yet this still didn't feel like a solid enough step towards "making outsourcing great again". This is why we decided to turn our internal process into something that can be described as 'vetting-as-a-service'. Looking forward to learning your thoughts on Contractor Intelligence and how we can improve it. Thank you!
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Show HN: Bytime. How do you plan your free time in a city?
2 by logunov | 0 comments on Hacker News.
Hey, there! We are https://bytime.app team. Create a customizable city route and explore venues that fit your interests. Find us on the AppStore at https://ift.tt/2Kzt3ZG
2 by logunov | 0 comments on Hacker News.
Hey, there! We are https://bytime.app team. Create a customizable city route and explore venues that fit your interests. Find us on the AppStore at https://ift.tt/2Kzt3ZG
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Show HN: Launching GoatCounter; or: let's try and make a living from Open Source
2 by Carpetsmoker | 0 comments on Hacker News.
2 by Carpetsmoker | 0 comments on Hacker News.
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Show HN: Our Code Stories- Programming Book Publishing/Tutorial Blog Alternative
2 by markm208 | 0 comments on Hacker News.
You may have seen a few posts lately around the idea of sharing stories about how code develops. I have been working on this too so I thought I would (re)share https://ift.tt/2TB3QRv My feeling is that code is typically written by a single person on a single computer and that others really only get to see the final product. Other devs don't get to learn much from the development process since they aren't around to see it all happen. Pair programming solves this problem but it doesn't scale well. In other words, there are a lot of interesting things to learn during the development process but much of it is left on the cutting room floor. I have created a new medium that allows sw devs to guide viewers through non-trivial code examples. There is a VS Code extension for authors. I am using it primarily as a replacement for traditional programming books, online tutorials, and youtube videos of code demos for the classes that I teach. Viewers can see code evolve and get a narrative commentary from the author while it happens. These are code focused resources which is what I think many learners want. Here is an example of one: https://ift.tt/33BiFIm These work best on a big screen. Use the >> button to quickly move through the code. Here is all of the content I have created so far: https://ift.tt/2TBFPtI I want OCS to be a marketplace where authors go to write 'books' (alternative to O'Reilly or Pragmatic Programmers) or smaller tutorials (alternative to Medium) and where learners can go to get content (alternative to Khan Academy or YouTube). The site allows content creators to charge for their work or make it freely available to all. I'd like to point out a few others that seem to be doing similar things: https://codelines.dev/ https://storytime.dev/ https://scrimba.com/ These are all interesting in their own ways and are worth checking out.
2 by markm208 | 0 comments on Hacker News.
You may have seen a few posts lately around the idea of sharing stories about how code develops. I have been working on this too so I thought I would (re)share https://ift.tt/2TB3QRv My feeling is that code is typically written by a single person on a single computer and that others really only get to see the final product. Other devs don't get to learn much from the development process since they aren't around to see it all happen. Pair programming solves this problem but it doesn't scale well. In other words, there are a lot of interesting things to learn during the development process but much of it is left on the cutting room floor. I have created a new medium that allows sw devs to guide viewers through non-trivial code examples. There is a VS Code extension for authors. I am using it primarily as a replacement for traditional programming books, online tutorials, and youtube videos of code demos for the classes that I teach. Viewers can see code evolve and get a narrative commentary from the author while it happens. These are code focused resources which is what I think many learners want. Here is an example of one: https://ift.tt/33BiFIm These work best on a big screen. Use the >> button to quickly move through the code. Here is all of the content I have created so far: https://ift.tt/2TBFPtI I want OCS to be a marketplace where authors go to write 'books' (alternative to O'Reilly or Pragmatic Programmers) or smaller tutorials (alternative to Medium) and where learners can go to get content (alternative to Khan Academy or YouTube). The site allows content creators to charge for their work or make it freely available to all. I'd like to point out a few others that seem to be doing similar things: https://codelines.dev/ https://storytime.dev/ https://scrimba.com/ These are all interesting in their own ways and are worth checking out.
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Launch HN: Vendr (YC S19) – Buying software, so you don’t have to
1 by saasbuyer | 0 comments on Hacker News.
Hey HN: I’m Ryan, the founder of Vendr (https://vendr.com). We buy and renew software for companies. Why? We believe that the buying process should be dictated by the buyer, not the salesperson. For example, if you want to procure New Relic, you should be able to do it your way---not the salesperson’s way. Vendr was created so that companies can get the SaaS they need without needing to invest the time to procure. My background is in software sales. Previous to founding Vendr, I was head of enterprise sales for InVision and director of SMB sales for HubSpot. So, I learned how to buy and sell software. I’ve witnessed that many salespeople are really good at wasting stakeholder time (unnecessary qualification calls, demos, etc). Buying and renewing software takes a lot of time, and even more if you want to get the best deal. The net result is that we can get you the software you need, fast, and at the best possible price. We also handle renewals and are able to reduce the price per seat as a company grows. Vendr is currently buying and renewing software for many fast-growing companies. We are currently working with companies like, Canva, GitLab, Brex, Drift, HubSpot, InVision, and others. These companies have hired us to save time and money. And it’s working. For example, in our first 12 months working w/ InVision, we saved over $1.5mm. Many of our customers are really good negotiators, but they’ve realized that spending the cycles is not a good use of their time. Here’s how it works: We are typically hired by the head of finance or engineering. We analyze and organize your current SaaS purchases and renewal dates. You introduce Vendr to your vendors and we manage the procurement process from start to finish---getting you exactly what you need without ever having to pick up the phone. We are integrated into your Slack environment to keep you posted along the way. We make money via a monthly subscription to buy and renew all of the SaaS in your stack. Our subscription fee is based on your company size and ranges from $2k-10k+. Happy to chat directly at ryan@vendr.com. Have you experienced specific issues buying software? How have your experiences been working with software salespeople? We’d love to hear your feedback and ideas, and your experiences!
1 by saasbuyer | 0 comments on Hacker News.
Hey HN: I’m Ryan, the founder of Vendr (https://vendr.com). We buy and renew software for companies. Why? We believe that the buying process should be dictated by the buyer, not the salesperson. For example, if you want to procure New Relic, you should be able to do it your way---not the salesperson’s way. Vendr was created so that companies can get the SaaS they need without needing to invest the time to procure. My background is in software sales. Previous to founding Vendr, I was head of enterprise sales for InVision and director of SMB sales for HubSpot. So, I learned how to buy and sell software. I’ve witnessed that many salespeople are really good at wasting stakeholder time (unnecessary qualification calls, demos, etc). Buying and renewing software takes a lot of time, and even more if you want to get the best deal. The net result is that we can get you the software you need, fast, and at the best possible price. We also handle renewals and are able to reduce the price per seat as a company grows. Vendr is currently buying and renewing software for many fast-growing companies. We are currently working with companies like, Canva, GitLab, Brex, Drift, HubSpot, InVision, and others. These companies have hired us to save time and money. And it’s working. For example, in our first 12 months working w/ InVision, we saved over $1.5mm. Many of our customers are really good negotiators, but they’ve realized that spending the cycles is not a good use of their time. Here’s how it works: We are typically hired by the head of finance or engineering. We analyze and organize your current SaaS purchases and renewal dates. You introduce Vendr to your vendors and we manage the procurement process from start to finish---getting you exactly what you need without ever having to pick up the phone. We are integrated into your Slack environment to keep you posted along the way. We make money via a monthly subscription to buy and renew all of the SaaS in your stack. Our subscription fee is based on your company size and ranges from $2k-10k+. Happy to chat directly at ryan@vendr.com. Have you experienced specific issues buying software? How have your experiences been working with software salespeople? We’d love to hear your feedback and ideas, and your experiences!
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Launch HN: Remote company culture book for the Slack generation
3 by designerdusko | 0 comments on Hacker News.
3 by designerdusko | 0 comments on Hacker News.
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Show HN: SmartForms – Form back end as a service
2 by GiancarlloRojas | 2 comments on Hacker News.
Hi guys, my name is Giancarllo and I'm launching a pretty simple service: form backend that notifies you on Email, Telegram or Slack. http://smartforms.dev It's not intended to make tons of money, I made it for my use and I've been using it on some clients websites. It has a pretty generous free-tier and the paid tiers have really fair pricing. This is my first time launching a product, so any feedback is really appreciated! Thanks, guys.
2 by GiancarlloRojas | 2 comments on Hacker News.
Hi guys, my name is Giancarllo and I'm launching a pretty simple service: form backend that notifies you on Email, Telegram or Slack. http://smartforms.dev It's not intended to make tons of money, I made it for my use and I've been using it on some clients websites. It has a pretty generous free-tier and the paid tiers have really fair pricing. This is my first time launching a product, so any feedback is really appreciated! Thanks, guys.
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Show HN: BrowserUp Proxy-Network Traffic Testing for Selenium WebDriver (FOSS)
2 by ericb | 0 comments on Hacker News.
The BrowserUp Proxy is a free tool for web application testing that lets you test and manipulate network traffic. It works well in conjunction with Selenium WebDriver, or with any other browser automation technologies like cypress.io. For example, you can assert that a particular request happened and had a certain response code. Typically it is used to fill gaps in what Selenium WebDriver is able to see and test.
2 by ericb | 0 comments on Hacker News.
The BrowserUp Proxy is a free tool for web application testing that lets you test and manipulate network traffic. It works well in conjunction with Selenium WebDriver, or with any other browser automation technologies like cypress.io. For example, you can assert that a particular request happened and had a certain response code. Typically it is used to fill gaps in what Selenium WebDriver is able to see and test.
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Show HN: Cryptographically random strings with zero clicks
2 by connorlanigan | 1 comments on Hacker News.
2 by connorlanigan | 1 comments on Hacker News.
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Show HN: sqltop – Find the most resource consuming SQL Server queries
2 by soheilpro | 0 comments on Hacker News.
2 by soheilpro | 0 comments on Hacker News.
Wednesday, 14 August 2019
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Show HN: Fast, unopinionated, minimalist web framework for Arduino
2 by username13 | 0 comments on Hacker News.
2 by username13 | 0 comments on Hacker News.
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Show HN: Swap-a-Doodle, a cross-platform social drawing app
2 by darshan | 1 comments on Hacker News.
2 by darshan | 1 comments on Hacker News.
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Show HN: Codeless – I show how to automate things with Lego tools
6 by gregrog | 1 comments on Hacker News.
6 by gregrog | 1 comments on Hacker News.
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Launch HN: Dex (YC S19) – personal CRM that reminds you to keep in touch
1 by ksun | 0 comments on Hacker News.
Hi HN! I’m Kevin, founder of Dex (https://getdex.com/). Dex is a personal CRM that reminds you to keep in touch with people you might otherwise forget. I started working on Dex because I felt like I was falling out-of-touch with people I cared about. I wanted to be aware of “how long it had been” and more proactive about maintaining my relationships. Looking to solve this problem, I tried data tools like Airtable, Notion, and Google Sheets. It was easy to setup a sheet to track relationships, but I eventually found these tools difficult to keep up with. I’d end up procrastinating on updating my records and would rarely find the time to revisit them. Dex is a personal CRM that aims to be simple, intuitive, and accessible. To get started, users sign up for a web application that connects with their Google contacts and calendar (and optionally Facebook and LinkedIn data). With this information, Dex suggests people to contact every day. Over time, these suggestions become better as users customize how frequently they’d like to reach out. Dex includes the functionality you might include from a CRM -- logging notes, setting reminders, and organizing contacts. A feature which makes Dex unique is a Chrome extension, which allows you to view relationship history and add people without leaving social networking sites like LinkedIn, Messenger, Twitter, and Facebook. Most people realize the value and fulfillment that come from maintaining relationships, but occasionally still fall out of touch due to forgetfulness. Dex helps these people with a system of regular reminders to keep in touch. I’ve noticed many people already have their own ‘system’ for managing relationships, and I’m always interested in hearing about different people think about dealing with staying on top of relationships. I’d also welcome any other feedback about Dex! Feel free to also email me directly at kevin [at] getdex [dot] com. Thanks for your attention! :)
1 by ksun | 0 comments on Hacker News.
Hi HN! I’m Kevin, founder of Dex (https://getdex.com/). Dex is a personal CRM that reminds you to keep in touch with people you might otherwise forget. I started working on Dex because I felt like I was falling out-of-touch with people I cared about. I wanted to be aware of “how long it had been” and more proactive about maintaining my relationships. Looking to solve this problem, I tried data tools like Airtable, Notion, and Google Sheets. It was easy to setup a sheet to track relationships, but I eventually found these tools difficult to keep up with. I’d end up procrastinating on updating my records and would rarely find the time to revisit them. Dex is a personal CRM that aims to be simple, intuitive, and accessible. To get started, users sign up for a web application that connects with their Google contacts and calendar (and optionally Facebook and LinkedIn data). With this information, Dex suggests people to contact every day. Over time, these suggestions become better as users customize how frequently they’d like to reach out. Dex includes the functionality you might include from a CRM -- logging notes, setting reminders, and organizing contacts. A feature which makes Dex unique is a Chrome extension, which allows you to view relationship history and add people without leaving social networking sites like LinkedIn, Messenger, Twitter, and Facebook. Most people realize the value and fulfillment that come from maintaining relationships, but occasionally still fall out of touch due to forgetfulness. Dex helps these people with a system of regular reminders to keep in touch. I’ve noticed many people already have their own ‘system’ for managing relationships, and I’m always interested in hearing about different people think about dealing with staying on top of relationships. I’d also welcome any other feedback about Dex! Feel free to also email me directly at kevin [at] getdex [dot] com. Thanks for your attention! :)
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Show HN: Price Oracle for Decentralized Finance Apps
5 by iamwil | 0 comments on Hacker News.
We built a data feed oracle to write prices on-chain, and it’s live on the Ropsten test network! In Decentralized Finance (Defi), you can build your own financial instruments and you often need an oracle to write off-chain prices onto the blockchain. We built an oracle focused on data feeds because the current options are too expensive and slow for regularly, repeating data. This oracle is designed for price feeds and uses public key encryption to validate the data submitted is accurate. We modeled our oracle off of MakerDao and generalized the design to work with any datafeed. We’re currently maintaining four datasets with ETH/USD, USDT/USD, PAX/USD, and DAI/USD. You can track the prices reported onchain with our dashboard: https://ift.tt/305qELE. Our smart contract is open sourced at https://ift.tt/2YXfMlZ. Check it out and we'd love to get your feedback!
5 by iamwil | 0 comments on Hacker News.
We built a data feed oracle to write prices on-chain, and it’s live on the Ropsten test network! In Decentralized Finance (Defi), you can build your own financial instruments and you often need an oracle to write off-chain prices onto the blockchain. We built an oracle focused on data feeds because the current options are too expensive and slow for regularly, repeating data. This oracle is designed for price feeds and uses public key encryption to validate the data submitted is accurate. We modeled our oracle off of MakerDao and generalized the design to work with any datafeed. We’re currently maintaining four datasets with ETH/USD, USDT/USD, PAX/USD, and DAI/USD. You can track the prices reported onchain with our dashboard: https://ift.tt/305qELE. Our smart contract is open sourced at https://ift.tt/2YXfMlZ. Check it out and we'd love to get your feedback!
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Show HN: Generate a graph of any data from your terminal
2 by Vector919 | 0 comments on Hacker News.
2 by Vector919 | 0 comments on Hacker News.
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Launch HN: Lofty AI (YC S19) - real estate investment with alternative data
1 by loftyai | 0 comments on Hacker News.
Hi Hacker News Community, My name is Jerry, and I’m one co-founders for Lofty AI (https://www.lofty.ai/). We use machine learning to help identify homes where values are likely to appreciate, and we help home buyers buy them. People can partner up with us to buy a recommended property. If they do, we are willing to cover any potential losses on the property. In exchange, the buyer agrees to share some of the future profit on the home with us. The agreement lasts 3 years. Before starting this company, my co-founder and I had tried to invest in homes. However, we quickly got tired of realtors telling us to make offers based on very little data. We wanted to figure out a way to buy affordable homes that had the highest growth potential via a data driven approach. We realized there was a wealth of new alternative data out there, which could be used to predict both neighborhood growth and individual property growth. This alternative data we envisioned ranged from the growth in the number of postings on social media about a specific dog breed, to the number of restaurants in an area serving a specific type of trendy food, to the average wait time for ride sharing apps, and the average maximum temperature an area can experience. Our tech involves running clustering to identify trends and keywords from text based data (e.g.: social media photo tags, business reviews) that are associated with different categories of neighborhoods (for example: rich/suburban/static, middle-class/urban/growing). We then take these insights and feed them into a larger model with historical home prices, house level features, and an array of other numeric features (e.g. ride sharing wait times, new businesses) that predicts future home price on both an individual property and neighborhood level. With this trained model we can then predict future home prices based on these alternative data sources (as well a few traditional data sources). As we ingest more data going forward we are constantly retraining and reoptimizing our models. Along with successful backtesting we have been tracking our predictions to validate our models in production and have found that properties we had identified 12 months ago have beaten the market in appreciation by an average of 14 points (yay!). Most young working professionals want to live in or near large metropolitan cities for the lifestyle and better jobs market. This has contributed to extremely high home prices for places like the bay area and many young professionals end up paying rent that is on par with a mortgage payment. However, instead of building equity in their own future through an investment, they are simply making their landlords richer. We want to change this by giving people another option. They can now invest in a home and their capital can be protected should the investment flop. The trade off is that these homes tend to be located in areas not “currently” deemed to be a desirable neighborhood. In essence, we want to help inexperienced home buyers make smarter decisions, and we are willing to risk our own capital for that. In the event of a downturn in the market we are hedging our exposure by buying deep out of the money options that track the real estate market. These hedges are also attached to each individual contract so even if we were to go out of business before the maturation of the agreement or before a downturn in the market your downside protection would still be alive and well! As a result, anything that’s above a 20% decline across the portfolio will be covered by the hedging instruments, so we only need to be able to guarantee the range between 0 to -20% using our own capital. To make sure we can abide by the guarantee, we know exactly how many contracts we can enter into, and we will not go above that threshold until we obtain more funding. Sign up with us to receive a list of recommended properties that our models think will appreciate over the next 3 years. Make an offer on the property you like the most using any method you’d like. If you don’t have an agent you work with, we can recommend you one along with helping you get a mortgage. After you make an offer on a home, you enter into a contract with us. We agree to cover losses over the next 3 years and in exchange, you share some of the future upside with us. Let us know if you have any questions or insights, and I’ll be happy to respond! Feel free to directly reach out to me at jerry@lofty.ai as well. We’d love to hear your feedback and suggestions!
1 by loftyai | 0 comments on Hacker News.
Hi Hacker News Community, My name is Jerry, and I’m one co-founders for Lofty AI (https://www.lofty.ai/). We use machine learning to help identify homes where values are likely to appreciate, and we help home buyers buy them. People can partner up with us to buy a recommended property. If they do, we are willing to cover any potential losses on the property. In exchange, the buyer agrees to share some of the future profit on the home with us. The agreement lasts 3 years. Before starting this company, my co-founder and I had tried to invest in homes. However, we quickly got tired of realtors telling us to make offers based on very little data. We wanted to figure out a way to buy affordable homes that had the highest growth potential via a data driven approach. We realized there was a wealth of new alternative data out there, which could be used to predict both neighborhood growth and individual property growth. This alternative data we envisioned ranged from the growth in the number of postings on social media about a specific dog breed, to the number of restaurants in an area serving a specific type of trendy food, to the average wait time for ride sharing apps, and the average maximum temperature an area can experience. Our tech involves running clustering to identify trends and keywords from text based data (e.g.: social media photo tags, business reviews) that are associated with different categories of neighborhoods (for example: rich/suburban/static, middle-class/urban/growing). We then take these insights and feed them into a larger model with historical home prices, house level features, and an array of other numeric features (e.g. ride sharing wait times, new businesses) that predicts future home price on both an individual property and neighborhood level. With this trained model we can then predict future home prices based on these alternative data sources (as well a few traditional data sources). As we ingest more data going forward we are constantly retraining and reoptimizing our models. Along with successful backtesting we have been tracking our predictions to validate our models in production and have found that properties we had identified 12 months ago have beaten the market in appreciation by an average of 14 points (yay!). Most young working professionals want to live in or near large metropolitan cities for the lifestyle and better jobs market. This has contributed to extremely high home prices for places like the bay area and many young professionals end up paying rent that is on par with a mortgage payment. However, instead of building equity in their own future through an investment, they are simply making their landlords richer. We want to change this by giving people another option. They can now invest in a home and their capital can be protected should the investment flop. The trade off is that these homes tend to be located in areas not “currently” deemed to be a desirable neighborhood. In essence, we want to help inexperienced home buyers make smarter decisions, and we are willing to risk our own capital for that. In the event of a downturn in the market we are hedging our exposure by buying deep out of the money options that track the real estate market. These hedges are also attached to each individual contract so even if we were to go out of business before the maturation of the agreement or before a downturn in the market your downside protection would still be alive and well! As a result, anything that’s above a 20% decline across the portfolio will be covered by the hedging instruments, so we only need to be able to guarantee the range between 0 to -20% using our own capital. To make sure we can abide by the guarantee, we know exactly how many contracts we can enter into, and we will not go above that threshold until we obtain more funding. Sign up with us to receive a list of recommended properties that our models think will appreciate over the next 3 years. Make an offer on the property you like the most using any method you’d like. If you don’t have an agent you work with, we can recommend you one along with helping you get a mortgage. After you make an offer on a home, you enter into a contract with us. We agree to cover losses over the next 3 years and in exchange, you share some of the future upside with us. Let us know if you have any questions or insights, and I’ll be happy to respond! Feel free to directly reach out to me at jerry@lofty.ai as well. We’d love to hear your feedback and suggestions!
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Show HN: A list of no-code software, by category, with real-world examples
3 by truedrew13 | 0 comments on Hacker News.
3 by truedrew13 | 0 comments on Hacker News.
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Show HN: Node.js Client for Twitter
1 by g4ryb0t | 0 comments on Hacker News.
Hey everybody, I'd like to share a little project I'm working on, it is a web app that allows you to pull public twitter timeline of any handle. Its still very early stage and I am unsure what features I would like to prioritize so I'm sharing it here for some Feedback :] LINK: https://ift.tt/2z0waU5 Also, if you don't trust the web find our public Github repository here and clone it locally: https://ift.tt/2P4zV5U Looking forward to your feedback, Thanks. P.S. All credit for this work should go to BoyCook [on Github], this project just builds on his and others work.
1 by g4ryb0t | 0 comments on Hacker News.
Hey everybody, I'd like to share a little project I'm working on, it is a web app that allows you to pull public twitter timeline of any handle. Its still very early stage and I am unsure what features I would like to prioritize so I'm sharing it here for some Feedback :] LINK: https://ift.tt/2z0waU5 Also, if you don't trust the web find our public Github repository here and clone it locally: https://ift.tt/2P4zV5U Looking forward to your feedback, Thanks. P.S. All credit for this work should go to BoyCook [on Github], this project just builds on his and others work.
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Show HN: Display Google Sheet Data in Your Website Without an API with HTML
2 by maxigimenez | 0 comments on Hacker News.
2 by maxigimenez | 0 comments on Hacker News.
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Show HN: Privacy-Focused and Open Source Alternative for Google Photos
2 by Walterion | 0 comments on Hacker News.
2 by Walterion | 0 comments on Hacker News.
Tuesday, 13 August 2019
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Launch HN: Shift Health (YC S19) – Understand Your Healthcare Costs Pre-Visit
1 by Hydrick3232 | 0 comments on Hacker News.
Hi HN, We're Lance, Lance, and Dallin (Yes...2 founders named Lance :)). We are the founders of Shift Health (https://shifthealth.io). We help patients understand what they will owe pre-visit and provide flexibility to pay overtime. Purchasing health care is unlike anything else you buy in our society today. You wouldn’t expect to walk into a grocery store, take home a loaf of bread not knowing the price and then receive a surprise bill 3 months later. So why is this the standard experience for buying health care services? The surprising thing is that the standard experience for doctors offices is not much better. Antiquated billing processes compounded with the fact that patients are responsible for more and more of the bill out of pocket is creating a scenario where doctors offices are only collecting 40% to 60% of the patient out-of-pocket responsibility. We partner with doctors offices to tell patients what their expected out-of-pocket price is before they see their doctor and provide flexibility to pay overtime. Our mission is to make healthcare costs understandable and affordable for all. We all met working on a marketing venture together that we have since exited. While working on our marketing company we carved out time each Friday to discuss big problems that we had the right talents to solve. Those Super Duper Friday’s (as we called them) were really valuable for us. Lance R. (Rodela) has worked in healthcare tech for most of his career (Medicity, Aetna, SolutionReach), and he cued us into the trend of High Deductible Health Plans (HDHP’s). These plans are being rapidly adopted and are having adverse impacts for patients and healthcare organizations. Patients owe more and more out of pocket (up 12% just last year), and healthcare organizations are ill equipped to collect effectively from patients. We set out to validate the problem, and everyone else we talked to agreed that medical billing is almost never a positive experience. So we set off to fix it. Even with Rodela’s background we didn’t realize how hard this was going to be in the beginning. Healthcare has been very resistant to disruption to date. Antiquated legacy systems abound, political lobbyists hover over everything and administrative staff have to be extra cautious not to find themselves on the wrong side of countless regulations and legislation. In short...it’s gnarly. Not sure if it was insanity or inspiration that drove us forward, but onward we went. First, we went out and talked to clinical leaders near us. It did not take us very long to find an excited pilot partner to innovate with us. We did a lot of discovery work with their billing, front office, and operations teams to understand their workflow and requirements. Next we spoke with dozens of patients to better understand their needs, pain points, and challenges. Once we had a firm grasp, we presented mockups and prototypes to the clinic and to their patients to refine an MVP. Finally, we set to work constructing our solution. As we neared completion on the MVP the next hurdle (prior to even getting launched) appeared. We needed to integrate with the practice’s Electronic Medical Record (EMR) system. Fortunately, our partner had a strong relationship with their EMR provider, which saved us months of what would have otherwise been frustrating back and forth. Whew… we made it, right? Yup! Well, we made it to stage one at least. We launched the pilot and saw excellent feedback from both sides. Patients would text us saying “I love love love this” and our pilot partner saw patient collections grow by 30%. We are not stopping there though. To build the best estimations we needed to build into insurance networks and more, and that is what we are pioneering today. There is still a lot of tech to build (calling all health tech pros hungry to work on something big!), but we are excited to announce that today we are able to text obstetrics patients 48 hours before their appointment how much their care will cost them out of pocket with 95% accuracy. Healthcare payments have been a giant mess for a long time, but all of this is approaching a massive tipping point for change with 3 important market forces: 1. Financial Forces: Due to the rapid adoption of HDHP’s, patients are financially responsible for more of their bill. Doctors offices are ill-equipped for this paradigm shift and are collecting less (40%-60% of patient balances are written off). Patients want to know their costs ahead of time, and we have proven that doctors will collect more when they communicate ahead of time and provide flexible payment options. 2. Social Forces: Healthcare costs and spending has been catapulted to the center of the upcoming presidential debates, and an executive order requiring price transparency in the United States was signed in June 2019. 3. Technological Forces: Platforms are emerging providing more health data access than ever before. I've recently seen some posts on HN about the executive order and price transparency (https://ift.tt/2Lo9CUr) so we’re looking forward to a really good discussion. Please reach out with your ideas, help, and connections!
1 by Hydrick3232 | 0 comments on Hacker News.
Hi HN, We're Lance, Lance, and Dallin (Yes...2 founders named Lance :)). We are the founders of Shift Health (https://shifthealth.io). We help patients understand what they will owe pre-visit and provide flexibility to pay overtime. Purchasing health care is unlike anything else you buy in our society today. You wouldn’t expect to walk into a grocery store, take home a loaf of bread not knowing the price and then receive a surprise bill 3 months later. So why is this the standard experience for buying health care services? The surprising thing is that the standard experience for doctors offices is not much better. Antiquated billing processes compounded with the fact that patients are responsible for more and more of the bill out of pocket is creating a scenario where doctors offices are only collecting 40% to 60% of the patient out-of-pocket responsibility. We partner with doctors offices to tell patients what their expected out-of-pocket price is before they see their doctor and provide flexibility to pay overtime. Our mission is to make healthcare costs understandable and affordable for all. We all met working on a marketing venture together that we have since exited. While working on our marketing company we carved out time each Friday to discuss big problems that we had the right talents to solve. Those Super Duper Friday’s (as we called them) were really valuable for us. Lance R. (Rodela) has worked in healthcare tech for most of his career (Medicity, Aetna, SolutionReach), and he cued us into the trend of High Deductible Health Plans (HDHP’s). These plans are being rapidly adopted and are having adverse impacts for patients and healthcare organizations. Patients owe more and more out of pocket (up 12% just last year), and healthcare organizations are ill equipped to collect effectively from patients. We set out to validate the problem, and everyone else we talked to agreed that medical billing is almost never a positive experience. So we set off to fix it. Even with Rodela’s background we didn’t realize how hard this was going to be in the beginning. Healthcare has been very resistant to disruption to date. Antiquated legacy systems abound, political lobbyists hover over everything and administrative staff have to be extra cautious not to find themselves on the wrong side of countless regulations and legislation. In short...it’s gnarly. Not sure if it was insanity or inspiration that drove us forward, but onward we went. First, we went out and talked to clinical leaders near us. It did not take us very long to find an excited pilot partner to innovate with us. We did a lot of discovery work with their billing, front office, and operations teams to understand their workflow and requirements. Next we spoke with dozens of patients to better understand their needs, pain points, and challenges. Once we had a firm grasp, we presented mockups and prototypes to the clinic and to their patients to refine an MVP. Finally, we set to work constructing our solution. As we neared completion on the MVP the next hurdle (prior to even getting launched) appeared. We needed to integrate with the practice’s Electronic Medical Record (EMR) system. Fortunately, our partner had a strong relationship with their EMR provider, which saved us months of what would have otherwise been frustrating back and forth. Whew… we made it, right? Yup! Well, we made it to stage one at least. We launched the pilot and saw excellent feedback from both sides. Patients would text us saying “I love love love this” and our pilot partner saw patient collections grow by 30%. We are not stopping there though. To build the best estimations we needed to build into insurance networks and more, and that is what we are pioneering today. There is still a lot of tech to build (calling all health tech pros hungry to work on something big!), but we are excited to announce that today we are able to text obstetrics patients 48 hours before their appointment how much their care will cost them out of pocket with 95% accuracy. Healthcare payments have been a giant mess for a long time, but all of this is approaching a massive tipping point for change with 3 important market forces: 1. Financial Forces: Due to the rapid adoption of HDHP’s, patients are financially responsible for more of their bill. Doctors offices are ill-equipped for this paradigm shift and are collecting less (40%-60% of patient balances are written off). Patients want to know their costs ahead of time, and we have proven that doctors will collect more when they communicate ahead of time and provide flexible payment options. 2. Social Forces: Healthcare costs and spending has been catapulted to the center of the upcoming presidential debates, and an executive order requiring price transparency in the United States was signed in June 2019. 3. Technological Forces: Platforms are emerging providing more health data access than ever before. I've recently seen some posts on HN about the executive order and price transparency (https://ift.tt/2Lo9CUr) so we’re looking forward to a really good discussion. Please reach out with your ideas, help, and connections!
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Show HN: Awesome Space, a repository of open source space-related resources
2 by tectonic | 0 comments on Hacker News.
2 by tectonic | 0 comments on Hacker News.
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Show HN: A free crypto tax calculator
4 by robertkarljr | 0 comments on Hacker News.
Hi, I'm Robert Karl, a software engineer, cryptocurrency trader, and creator of CBR ( https://ift.tt/2H4Nzzd ). I wanted to report gains from trading to tax authorities, but found existing crypto-tax solutions were not great. There are some very fully featured tax solutions out there. I believe there is even a YC company that can solve this problem. However, I found that for my use case, which includes less than 100 trades, the existing sites would charge me between $150 and $800 for a handful of PDFs. I wasn't sure that made sense given the server-side costs to generate these documents (approximately zero). CBR does this for free. A large portion of the codebase is open source (https://ift.tt/2Z3PFpo). I would love your feedback about U/X as well as pricing for premium features. I'm happy to answer any questions.
4 by robertkarljr | 0 comments on Hacker News.
Hi, I'm Robert Karl, a software engineer, cryptocurrency trader, and creator of CBR ( https://ift.tt/2H4Nzzd ). I wanted to report gains from trading to tax authorities, but found existing crypto-tax solutions were not great. There are some very fully featured tax solutions out there. I believe there is even a YC company that can solve this problem. However, I found that for my use case, which includes less than 100 trades, the existing sites would charge me between $150 and $800 for a handful of PDFs. I wasn't sure that made sense given the server-side costs to generate these documents (approximately zero). CBR does this for free. A large portion of the codebase is open source (https://ift.tt/2Z3PFpo). I would love your feedback about U/X as well as pricing for premium features. I'm happy to answer any questions.
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Show HN: Pisa – Probably the Fastest Full Text Search Engine Written in C++
2 by amallia | 0 comments on Hacker News.
2 by amallia | 0 comments on Hacker News.
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Launch HN: Boost Biomes (YC S19) – Microbes for better crop yields, shelf life
2 by jbacher | 0 comments on Hacker News.
Hi Hacker News, we're Jamie and Adam, cofounders of Boost Biomes (http://boostbiomes.com/). Boost is developing spray treatments for fruits and crops to prevent mold, mildew and fungi. Packagers can use our products to extend shelf-life for fruits, and farmers can increase yield of crops. The active ingredients are live microbes. I (Jamie) have been in biotech for over a dozen years. A decade ago, I was at a biofuels company working to grow algae, and fungi ruined our crop. At the time I realized that if we could control the ecosystem, we could prevent these kinds of agricultural disasters. In the meantime, Adam, as a professor at Berkeley National Lab and UC-Berkeley over the last two decades, had been developing a technology platform to understand microbial ecology. When Adam and I met a few years ago, we realized that his technology could address these kinds of challenges. No longer interested in algae as a crop, we saw the opportunity in high-value crops. These include strawberries in the field, apples post-harvest and cannabis as an exploding opportunity. We're clearly not the first ones to think about microbial products for ag. What sets our approach apart is the technology that Adam developed. Using his approach, we are able to determine what we call an interaction map - the complete set of interactions between microbes from a given environment. The interaction map generates leads for us, including groups of microbes that work together as 'consortia'. Our current lead product candidates are in fact consortia. Our first product is a soil amendment being sold into the cannabis market. There's a real excitement of the opportunities for the market to expand, and it's an industry full of early-adopters. We're looking longer term, though, as our products will address food production and waste. Fungi destroy enough food to feed 600M people every year - this represents 60% of the people going hungry every year! This is the kind of impact we're after with our tech and with the company. We look forward to discussing the opportunity and technology!
2 by jbacher | 0 comments on Hacker News.
Hi Hacker News, we're Jamie and Adam, cofounders of Boost Biomes (http://boostbiomes.com/). Boost is developing spray treatments for fruits and crops to prevent mold, mildew and fungi. Packagers can use our products to extend shelf-life for fruits, and farmers can increase yield of crops. The active ingredients are live microbes. I (Jamie) have been in biotech for over a dozen years. A decade ago, I was at a biofuels company working to grow algae, and fungi ruined our crop. At the time I realized that if we could control the ecosystem, we could prevent these kinds of agricultural disasters. In the meantime, Adam, as a professor at Berkeley National Lab and UC-Berkeley over the last two decades, had been developing a technology platform to understand microbial ecology. When Adam and I met a few years ago, we realized that his technology could address these kinds of challenges. No longer interested in algae as a crop, we saw the opportunity in high-value crops. These include strawberries in the field, apples post-harvest and cannabis as an exploding opportunity. We're clearly not the first ones to think about microbial products for ag. What sets our approach apart is the technology that Adam developed. Using his approach, we are able to determine what we call an interaction map - the complete set of interactions between microbes from a given environment. The interaction map generates leads for us, including groups of microbes that work together as 'consortia'. Our current lead product candidates are in fact consortia. Our first product is a soil amendment being sold into the cannabis market. There's a real excitement of the opportunities for the market to expand, and it's an industry full of early-adopters. We're looking longer term, though, as our products will address food production and waste. Fungi destroy enough food to feed 600M people every year - this represents 60% of the people going hungry every year! This is the kind of impact we're after with our tech and with the company. We look forward to discussing the opportunity and technology!
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Show HN: Yack – Community Browser for Hacker News, Reddit, YouTube and More
2 by 7961636B6572 | 0 comments on Hacker News.
2 by 7961636B6572 | 0 comments on Hacker News.
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Show HN: Privacy-Focused Alternative to Google Docs and Microsoft Word
3 by Walterion | 3 comments on Hacker News.
3 by Walterion | 3 comments on Hacker News.
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Show HN: Free app to export your site's design tokens to code
3 by kilian | 0 comments on Hacker News.
3 by kilian | 0 comments on Hacker News.
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Show HN: Wagyu – Rust library for generating cryptocurrency wallets
2 by ArgusHQ | 0 comments on Hacker News.
2 by ArgusHQ | 0 comments on Hacker News.
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Show HN: Parapet – A purely functional library to build distributed systems
2 by dmgcodevil | 0 comments on Hacker News.
2 by dmgcodevil | 0 comments on Hacker News.
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Show HN: Procrastinating? Take a 5min break without leaving your computer
2 by hundredhours | 0 comments on Hacker News.
2 by hundredhours | 0 comments on Hacker News.
Monday, 12 August 2019
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Show HN: Solve puzzles to build a cat-2-human translation system using ML (game)
2 by guessmyname | 0 comments on Hacker News.
2 by guessmyname | 0 comments on Hacker News.
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Show HN: Implementing quadtree algorithm to make art from photos
2 by ribab | 0 comments on Hacker News.
2 by ribab | 0 comments on Hacker News.
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Launch HN: Lazy Lantern (YC S19) – Detect Meaningful Patterns in Your Analytics
1 by GuiloLa | 0 comments on Hacker News.
Hello HN, We are Bastien, Guillaume and Alex, founders of Lazy Lantern. We work on detecting what really matters as it happens in your website or app. As software engineers in various companies, we repeatedly got overwhelmed by the amount of product analytics we had to keep track of. What specific metrics are you supposed to monitor when you have dozens or hundreds of them, each metric having contextual information about the user, device type, location, language, etc.? This can represent thousands to millions of useful sub-metrics. Despite spending significant time monitoring analytics dashboards on Google Analytics, Mixpanel, Amplitude, Grafana and more, we had to keep track of so many metrics and user segments that impactful events regularly went unnoticed. We often missed technical incidents, but also business opportunities such as not knowing that a feature really moved the needle or that there was sudden adoption for a specific user group. We started Lazy Lantern to build an automated way of analyzing any number of metrics in real-time. The goal is to provide a good picture of impactful events as they happen, both in the case of negative anomalies (outages, bugs, crashes) and positive anomalies (virality, marketing, growth). In practice, we automatically detect abnormal patterns for each metric, in particular temporary spikes/drops, level changes, trend changes and seasonality changes. In case of anomaly, we surface the user segments that are most affected and we group correlated anomalies together to give you a better picture of what parts of the product are impacted. On the implementation side, there were a couple of requirements for an effective anomaly detection algorithm. It has to be: - Autonomous: avoiding manual configuration to be able to scale to arbitrarily high numbers of metrics - Unsupervised: being able to detect anomalies for all types of businesses without knowing beforehand what a typical anomaly for each business looks like - Dynamic: accommodating all kinds of seasonalities and trends, which excludes using static thresholds - Fast: deciding whether a data point is indicative of an incident in minimal time To fulfill these requirements, we first tried the Holt-Winters seasonal models, but finally got the best results with a procedure based upon Facebook’s Prophet forecasting model. To provide a better sense of each anomaly’s severity as well as what areas of the product are affected, we integrated two additional functionalities: - Anomaly severity scoring based on the number of impacted users, deviation from prediction and anomaly duration - Anomaly grouping using a reproduction of VARCLUS, which groups metrics by clusters based on their partial correlations For this initial launch, we are targeting Segment customers, which makes enabling our product a breeze. If people find it useful, we will provide wider support. Pricing is based on the number of metrics you want to track. If you email us at contact@lazylantern.com mentioning this post, we’ll extend the free trial to 3 months. If you are interested, sign up in one minute on our website at www.lazylantern.com. We’d love to know if you think this product might be useful to you or if there is a better way to approach the problem. Thank you!
1 by GuiloLa | 0 comments on Hacker News.
Hello HN, We are Bastien, Guillaume and Alex, founders of Lazy Lantern. We work on detecting what really matters as it happens in your website or app. As software engineers in various companies, we repeatedly got overwhelmed by the amount of product analytics we had to keep track of. What specific metrics are you supposed to monitor when you have dozens or hundreds of them, each metric having contextual information about the user, device type, location, language, etc.? This can represent thousands to millions of useful sub-metrics. Despite spending significant time monitoring analytics dashboards on Google Analytics, Mixpanel, Amplitude, Grafana and more, we had to keep track of so many metrics and user segments that impactful events regularly went unnoticed. We often missed technical incidents, but also business opportunities such as not knowing that a feature really moved the needle or that there was sudden adoption for a specific user group. We started Lazy Lantern to build an automated way of analyzing any number of metrics in real-time. The goal is to provide a good picture of impactful events as they happen, both in the case of negative anomalies (outages, bugs, crashes) and positive anomalies (virality, marketing, growth). In practice, we automatically detect abnormal patterns for each metric, in particular temporary spikes/drops, level changes, trend changes and seasonality changes. In case of anomaly, we surface the user segments that are most affected and we group correlated anomalies together to give you a better picture of what parts of the product are impacted. On the implementation side, there were a couple of requirements for an effective anomaly detection algorithm. It has to be: - Autonomous: avoiding manual configuration to be able to scale to arbitrarily high numbers of metrics - Unsupervised: being able to detect anomalies for all types of businesses without knowing beforehand what a typical anomaly for each business looks like - Dynamic: accommodating all kinds of seasonalities and trends, which excludes using static thresholds - Fast: deciding whether a data point is indicative of an incident in minimal time To fulfill these requirements, we first tried the Holt-Winters seasonal models, but finally got the best results with a procedure based upon Facebook’s Prophet forecasting model. To provide a better sense of each anomaly’s severity as well as what areas of the product are affected, we integrated two additional functionalities: - Anomaly severity scoring based on the number of impacted users, deviation from prediction and anomaly duration - Anomaly grouping using a reproduction of VARCLUS, which groups metrics by clusters based on their partial correlations For this initial launch, we are targeting Segment customers, which makes enabling our product a breeze. If people find it useful, we will provide wider support. Pricing is based on the number of metrics you want to track. If you email us at contact@lazylantern.com mentioning this post, we’ll extend the free trial to 3 months. If you are interested, sign up in one minute on our website at www.lazylantern.com. We’d love to know if you think this product might be useful to you or if there is a better way to approach the problem. Thank you!
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Launch HN: Embrace (YC S19) – Spot and fix bugs in mobile apps
10 by efutoran | 0 comments on Hacker News.
Hi HN! I’m Eric, the co-founder of Embrace (https://embrace.io). Embrace is a debugging and performance monitoring platform that gives developers the information and context they need to monitor and solve errors, crashes, and performance issues. Think of it as what you wish Crashlytics had evolved into combined with the session replay capability of Fullstory. Before Embrace, I co-founded the mobile gaming company Scopely, where we made six top-grossing mobile games including Yahtzee, Walking Dead, and Star Trek. The pain I felt while developing those games sparked the idea for Embrace. Customers and I would find bugs that were impossible to reproduce by the development and QA teams, and the analytics and logging tools we had in place just weren’t enough to solve them. We had crashes under control, so we cared more about startup freezes, failed purchases, and out-of-memory app closes. Without reproducing the issue, we couldn’t tell if the error was caused by a fundamental code issue, something with my device settings, a network problem, or just a very unfortunate combination of all of the above. The solution seemed simple: I wanted to look up my session and see all the user interactions, networking and logging together to find out what caused my issue. After talking with my friends at other mobile app companies, I knew I wasn’t alone. Things worked well in development, but we saw unexpected errors in production and we never had enough information to solve them. I wanted more than just a stack trace to help developers fix the problem, so my co-founder Fredric -- who has now built three mobile analytics companies -- and I started Embrace. We've talked with many mobile developers and companies and we saw many common problems with apps, such as slow app starts resulting from too many blocking network calls on startup, and we have built the features into our platform to help solve these problems. We also saw processes that were more cumbersome than they needed to be. Often when developers had to fix an issue they would try to combine data from backend logs, different monitoring tools, and feedback from bug reporters to try to build a picture of what was going wrong, but in the end it still wasn’t enough. There was always that one log message that they realized they should have added and they had to wait another release cycle figuring out a fix for the issue. You can add Embrace’s SDK to your app to start collecting the info I had been missing when building apps. We intercept network calls, track views, monitor CPU usage, capture crashes, and automatically collect many more metrics to provide developers with the context that they have told us helps them solve problems. Add logs and breadcrumbs that you define, and we are able to get you as close to replaying user sessions as possible without capturing video. You’ll be to see able to see the network calls before a failed purchase or whether or not the device was in low-power mode when it crashed. We are fortunate to have 40+ customers already, including Wish, OkCupid, AllTrails, and Home Depot. We helped solve the 2nd largest, long-standing crash for Wish by providing their developers with context they were lacking. Developers for a subscription revenue app were able to identify that a critical network call did not occur as expected when users took a certain path through their app. The most recent customer I visited solved two bugs using info from our tool the day after they integrated. We look forward to answering any questions you have and hearing what challenges you face with your mobile apps. We are free to use in development, so any feedback you have on the service would be much appreciated!
10 by efutoran | 0 comments on Hacker News.
Hi HN! I’m Eric, the co-founder of Embrace (https://embrace.io). Embrace is a debugging and performance monitoring platform that gives developers the information and context they need to monitor and solve errors, crashes, and performance issues. Think of it as what you wish Crashlytics had evolved into combined with the session replay capability of Fullstory. Before Embrace, I co-founded the mobile gaming company Scopely, where we made six top-grossing mobile games including Yahtzee, Walking Dead, and Star Trek. The pain I felt while developing those games sparked the idea for Embrace. Customers and I would find bugs that were impossible to reproduce by the development and QA teams, and the analytics and logging tools we had in place just weren’t enough to solve them. We had crashes under control, so we cared more about startup freezes, failed purchases, and out-of-memory app closes. Without reproducing the issue, we couldn’t tell if the error was caused by a fundamental code issue, something with my device settings, a network problem, or just a very unfortunate combination of all of the above. The solution seemed simple: I wanted to look up my session and see all the user interactions, networking and logging together to find out what caused my issue. After talking with my friends at other mobile app companies, I knew I wasn’t alone. Things worked well in development, but we saw unexpected errors in production and we never had enough information to solve them. I wanted more than just a stack trace to help developers fix the problem, so my co-founder Fredric -- who has now built three mobile analytics companies -- and I started Embrace. We've talked with many mobile developers and companies and we saw many common problems with apps, such as slow app starts resulting from too many blocking network calls on startup, and we have built the features into our platform to help solve these problems. We also saw processes that were more cumbersome than they needed to be. Often when developers had to fix an issue they would try to combine data from backend logs, different monitoring tools, and feedback from bug reporters to try to build a picture of what was going wrong, but in the end it still wasn’t enough. There was always that one log message that they realized they should have added and they had to wait another release cycle figuring out a fix for the issue. You can add Embrace’s SDK to your app to start collecting the info I had been missing when building apps. We intercept network calls, track views, monitor CPU usage, capture crashes, and automatically collect many more metrics to provide developers with the context that they have told us helps them solve problems. Add logs and breadcrumbs that you define, and we are able to get you as close to replaying user sessions as possible without capturing video. You’ll be to see able to see the network calls before a failed purchase or whether or not the device was in low-power mode when it crashed. We are fortunate to have 40+ customers already, including Wish, OkCupid, AllTrails, and Home Depot. We helped solve the 2nd largest, long-standing crash for Wish by providing their developers with context they were lacking. Developers for a subscription revenue app were able to identify that a critical network call did not occur as expected when users took a certain path through their app. The most recent customer I visited solved two bugs using info from our tool the day after they integrated. We look forward to answering any questions you have and hearing what challenges you face with your mobile apps. We are free to use in development, so any feedback you have on the service would be much appreciated!
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2 by kloudkonsole | 0 comments on Hacker News.
Hi, we have just launched a new product KloudKonsole Webmail, which provides a webmail client to AWS SES users to read their incoming mails. This is a free to use product, give it a try @ https://ift.tt/2MXIdd5
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Show HN: TimeSnapper for Mac is available now
3 by LeonB | 1 comments on Hacker News.
Previously I told HN about the beta for TimeSnapper on Mac and many of you signed up and contributed feedback and suggestions during the beta, or responded with helpful comments in that thread[1]. TimeSnapper is now available in the Mac App Store, here: https://ift.tt/2KrOYSB Thank you very much to the 'Show HN' readers who helped us get here today. [1] https://ift.tt/31zQ18Y
3 by LeonB | 1 comments on Hacker News.
Previously I told HN about the beta for TimeSnapper on Mac and many of you signed up and contributed feedback and suggestions during the beta, or responded with helpful comments in that thread[1]. TimeSnapper is now available in the Mac App Store, here: https://ift.tt/2KrOYSB Thank you very much to the 'Show HN' readers who helped us get here today. [1] https://ift.tt/31zQ18Y
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