Show HN: Forum app with all data stored on blockchain
6 by auxten | 2 comments on Hacker News.
Thursday, 28 February 2019
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Show HN: XPress Compress v1.0 – A config-less compression algorithm
2 by zelon88 | 0 comments on Hacker News.
2 by zelon88 | 0 comments on Hacker News.
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Launch HN: I wrote a book about WebAssembly
4 by raboukhalil | 0 comments on Hacker News.
Hey HN! I've been working on a book about WebAssembly over the last few months, and it's finally available at http://levelupwasm.com ! Why a book on WebAssembly you ask? Well... WebAssembly is awesome (obviously ) but it's certainly not the easiest thing to learn. So I wrote this book as a practical intro to using WebAssembly in your web apps. I would appreciate any feedback!
4 by raboukhalil | 0 comments on Hacker News.
Hey HN! I've been working on a book about WebAssembly over the last few months, and it's finally available at http://levelupwasm.com ! Why a book on WebAssembly you ask? Well... WebAssembly is awesome (obviously ) but it's certainly not the easiest thing to learn. So I wrote this book as a practical intro to using WebAssembly in your web apps. I would appreciate any feedback!
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Launch HN: Searchlight (YC W19) – Hiring based on past performance, not resumes
1 by annawangx | 0 comments on Hacker News.
Hi HN community! We’re Anna and Kerry, co-founders of Searchlight (www.searchlight.ai). Our software helps candidates be judged by their past performance rather than their resume or where they went to school. We built this product to help job candidates and hiring managers. With platforms like Linkedin and Indeed, hundreds of applicants with indistinguishable resumes apply for the same job with just one click. Kerry and I both have backgrounds in software engineering, and we were frustrated by how time-strapped hiring managers increasingly over-index on the “snob test” (a.k.a. where the candidate went to school) or contrived technical screens [1][2]. We’re also twin sisters who went to the same school and worked at the same companies. We look indistinguishable on paper, so we are especially keen to bring a new product to the hiring space that will allow candidates to express their individuality beyond their resumes. When we looked at the landscape of current hiring tools, we realized that the majority of them are self-promotional (resumes, personal websites, Linkedin, etc) and difficult to substantiate at first glance. This disadvantages people who aren't good at promoting themselves, or don't like to, and these are often the best candidates! We saw that a poorly conducted technical screen can penalize the most talented engineers. Worse yet, we learned that take-home coding challenges are a real pain point for certain demographics, like parents who don't have the time to thoroughly attack a 24 hour coding challenge because they have to take care of their kids. This made us think - why are we ignoring the the perspectives of people who actually know what it's like to work with a candidate? This data is the most indicative of success on the job [3][4], but isn't currently being leveraged until the end of the process, if the employer conducts reference checks. This is why we built Searchlight to better assess candidates early in the hiring process. Currently, we work directly with employers to invite their applicants to the platform. Job-seekers can invite as many advocates as they want to speak to their accomplishments and capabilities (some invite as many as 10!). The references share feedback like specific examples of how the candidate demonstrated desired competencies and how future managers can set the candidate up for success. Then, we analyze this feedback to assess candidate-position compatibility by matching the requirements of the role to the candidate's strengths. Our recommendations for strong candidates are based on a mix of quantitative factors like average ratings of core competencies, and qualitative factors like work style and environmental fit (which we currently human QA). One of our core beliefs is that every candidate is exceptional in their ideal environment, so all the feedback gathered on Searchlight - regardless of whether the candidate gets an offer - is saved and available for the candidate to use and share. We aim to make the hiring process more fair. We are building trust and legitimacy into our platform by tying each reference to a specific job experience, verifying references through work emails or Linkedin profiles, and keeping the feedback hidden from candidates. While no tool is perfect, we know that the insights surfaced by Searchlight allow for better decision-making than traditional resume scans, with no extra time commitment for employers. We are especially excited to see that Searchlight is already helping diverse applicants get to the on-site interview stage after being initially screened out. We'd love to hear about your experiences in today's hiring process and if Searchlight would be helpful to you! Thanks for reading. [1] https://ift.tt/2yWxb1N [2] https://ift.tt/2NzaGUJ [3] https://ift.tt/2GPcecF... [4] https://ift.tt/2NGgT1n...
1 by annawangx | 0 comments on Hacker News.
Hi HN community! We’re Anna and Kerry, co-founders of Searchlight (www.searchlight.ai). Our software helps candidates be judged by their past performance rather than their resume or where they went to school. We built this product to help job candidates and hiring managers. With platforms like Linkedin and Indeed, hundreds of applicants with indistinguishable resumes apply for the same job with just one click. Kerry and I both have backgrounds in software engineering, and we were frustrated by how time-strapped hiring managers increasingly over-index on the “snob test” (a.k.a. where the candidate went to school) or contrived technical screens [1][2]. We’re also twin sisters who went to the same school and worked at the same companies. We look indistinguishable on paper, so we are especially keen to bring a new product to the hiring space that will allow candidates to express their individuality beyond their resumes. When we looked at the landscape of current hiring tools, we realized that the majority of them are self-promotional (resumes, personal websites, Linkedin, etc) and difficult to substantiate at first glance. This disadvantages people who aren't good at promoting themselves, or don't like to, and these are often the best candidates! We saw that a poorly conducted technical screen can penalize the most talented engineers. Worse yet, we learned that take-home coding challenges are a real pain point for certain demographics, like parents who don't have the time to thoroughly attack a 24 hour coding challenge because they have to take care of their kids. This made us think - why are we ignoring the the perspectives of people who actually know what it's like to work with a candidate? This data is the most indicative of success on the job [3][4], but isn't currently being leveraged until the end of the process, if the employer conducts reference checks. This is why we built Searchlight to better assess candidates early in the hiring process. Currently, we work directly with employers to invite their applicants to the platform. Job-seekers can invite as many advocates as they want to speak to their accomplishments and capabilities (some invite as many as 10!). The references share feedback like specific examples of how the candidate demonstrated desired competencies and how future managers can set the candidate up for success. Then, we analyze this feedback to assess candidate-position compatibility by matching the requirements of the role to the candidate's strengths. Our recommendations for strong candidates are based on a mix of quantitative factors like average ratings of core competencies, and qualitative factors like work style and environmental fit (which we currently human QA). One of our core beliefs is that every candidate is exceptional in their ideal environment, so all the feedback gathered on Searchlight - regardless of whether the candidate gets an offer - is saved and available for the candidate to use and share. We aim to make the hiring process more fair. We are building trust and legitimacy into our platform by tying each reference to a specific job experience, verifying references through work emails or Linkedin profiles, and keeping the feedback hidden from candidates. While no tool is perfect, we know that the insights surfaced by Searchlight allow for better decision-making than traditional resume scans, with no extra time commitment for employers. We are especially excited to see that Searchlight is already helping diverse applicants get to the on-site interview stage after being initially screened out. We'd love to hear about your experiences in today's hiring process and if Searchlight would be helpful to you! Thanks for reading. [1] https://ift.tt/2yWxb1N [2] https://ift.tt/2NzaGUJ [3] https://ift.tt/2GPcecF... [4] https://ift.tt/2NGgT1n...
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Show HN: Naive Bayes classifier for text categorization in five steps
3 by gchavez2 | 1 comments on Hacker News.
3 by gchavez2 | 1 comments on Hacker News.
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Show HN: A local SMTP server to test and debug your app's emails
2 by jfoucher | 1 comments on Hacker News.
2 by jfoucher | 1 comments on Hacker News.
Wednesday, 27 February 2019
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Show HN: Little Automatic Racing Game in WebGL with Three.js and Oimo.js
2 by hvidevold | 1 comments on Hacker News.
2 by hvidevold | 1 comments on Hacker News.
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Show HN: Codegates – Learn Basic Coding with the Help of a Personal Mentor
2 by JJseiko | 0 comments on Hacker News.
2 by JJseiko | 0 comments on Hacker News.
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Show HN: Juniper.Units: unit of measure conversions and printing
2 by moron4hire | 0 comments on Hacker News.
2 by moron4hire | 0 comments on Hacker News.
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Show HN: Noobs-Term – A cross-platform terminal configuration for everyone
3 by aaronkjones | 1 comments on Hacker News.
3 by aaronkjones | 1 comments on Hacker News.
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Show HN: Package Diff: compare two versions of a published NPM package
2 by intrinsic | 0 comments on Hacker News.
2 by intrinsic | 0 comments on Hacker News.
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Launch HN: Fuzzbuzz (YC W19) – Fuzzing as a Service
1 by evmunro | 0 comments on Hacker News.
Hey HN, We’re Everest, Andrei and Sabera, the founders behind Fuzzbuzz ( https://fuzzbuzz.io ) - a fuzzing as a service platform that makes fuzzing your code as easy as writing a unit test, and pushing to GitHub. Fuzzing is a type of software testing that generates & runs millions of tests per day on your code, and is great at finding edge cases & vulnerabilities that developers miss. It’s been used to find tens of thousands of critical bugs in open-source software ( https://ift.tt/2fW71Bd ), and is a great way to generate tests that cover a lot of code, without requiring your developers to think of every possibility. It achieves such great results by applying genetic algorithms to generate new tests from some initial examples, and using code coverage to track and report interesting test cases. Combining these two techniques with a bit of randomness, and running tests thousands of times every second has proven to be an incredibly effective automated bug finding technique. I was first introduced to fuzzing a couple years ago while working on the Clusterfuzz team at Google, where I built Clusterfuzz Tools v1 ( https://ift.tt/2jAJEvW ). I later built Maxfuzz ( https://ift.tt/2IG5rDY ), a set of tools that makes it easier to fuzz code in Docker containers, while on the Coinbase security team. As we learned more about fuzzing, we found ourselves wondering why very few teams outside of massive companies like Microsoft and Google were actively fuzzing their code - especially given the results (teams at Google that use fuzzing report that it finds 80% of their bugs, with the other 20% uncovered by normal tests, or in production). It turns out that many teams don’t want to invest the time and money needed to set up automated fuzzing infrastructure, and using fuzzing tools in an ad-hoc way on your own computer isn’t nearly as effective as continuously fuzzing your code on multiple dedicated CPUs. That’s where Fuzzbuzz comes in! We’ve built a platform that integrates with your existing GitHub workflow, and provide an open API for integrations with CI tools like Jenkins and TravisCI, so the latest version of your code is always being fuzzed. We manage the infrastructure, so you can fuzz your code on any number of CPUs with a single click. When bugs are found, we’ll notify you through Slack and create Jira tickets or GitHub Issues for you. We also solve many of the issues that crop up when fuzzing, such as bug deduplication, and elimination of false positives. Fuzzbuzz currently supports C, C++, Go and Python, with more languages like Java and Javascript on the way. Anyone can sign up for Fuzzbuzz and fuzz their code on 1 dedicated CPU, for free. We’ve noticed that the HN community has been increasingly interested in fuzzing, and we’re really looking forward to hearing your feedback! The entire purpose of Fuzzbuzz is to make fuzzing as easy as possible, so all criticism is welcome.
1 by evmunro | 0 comments on Hacker News.
Hey HN, We’re Everest, Andrei and Sabera, the founders behind Fuzzbuzz ( https://fuzzbuzz.io ) - a fuzzing as a service platform that makes fuzzing your code as easy as writing a unit test, and pushing to GitHub. Fuzzing is a type of software testing that generates & runs millions of tests per day on your code, and is great at finding edge cases & vulnerabilities that developers miss. It’s been used to find tens of thousands of critical bugs in open-source software ( https://ift.tt/2fW71Bd ), and is a great way to generate tests that cover a lot of code, without requiring your developers to think of every possibility. It achieves such great results by applying genetic algorithms to generate new tests from some initial examples, and using code coverage to track and report interesting test cases. Combining these two techniques with a bit of randomness, and running tests thousands of times every second has proven to be an incredibly effective automated bug finding technique. I was first introduced to fuzzing a couple years ago while working on the Clusterfuzz team at Google, where I built Clusterfuzz Tools v1 ( https://ift.tt/2jAJEvW ). I later built Maxfuzz ( https://ift.tt/2IG5rDY ), a set of tools that makes it easier to fuzz code in Docker containers, while on the Coinbase security team. As we learned more about fuzzing, we found ourselves wondering why very few teams outside of massive companies like Microsoft and Google were actively fuzzing their code - especially given the results (teams at Google that use fuzzing report that it finds 80% of their bugs, with the other 20% uncovered by normal tests, or in production). It turns out that many teams don’t want to invest the time and money needed to set up automated fuzzing infrastructure, and using fuzzing tools in an ad-hoc way on your own computer isn’t nearly as effective as continuously fuzzing your code on multiple dedicated CPUs. That’s where Fuzzbuzz comes in! We’ve built a platform that integrates with your existing GitHub workflow, and provide an open API for integrations with CI tools like Jenkins and TravisCI, so the latest version of your code is always being fuzzed. We manage the infrastructure, so you can fuzz your code on any number of CPUs with a single click. When bugs are found, we’ll notify you through Slack and create Jira tickets or GitHub Issues for you. We also solve many of the issues that crop up when fuzzing, such as bug deduplication, and elimination of false positives. Fuzzbuzz currently supports C, C++, Go and Python, with more languages like Java and Javascript on the way. Anyone can sign up for Fuzzbuzz and fuzz their code on 1 dedicated CPU, for free. We’ve noticed that the HN community has been increasingly interested in fuzzing, and we’re really looking forward to hearing your feedback! The entire purpose of Fuzzbuzz is to make fuzzing as easy as possible, so all criticism is welcome.
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Show HN: Three and React = react-three-fiber, a new renderer based on Fiber
2 by mlsarecmg | 0 comments on Hacker News.
2 by mlsarecmg | 0 comments on Hacker News.
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Show HN: Discover what real locals eat all around the world
3 by sandoche | 1 comments on Hacker News.
3 by sandoche | 1 comments on Hacker News.
Tuesday, 26 February 2019
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Show HN: 23andMe raw data analysis tools – Free included
2 by sumitkumarwatts | 0 comments on Hacker News.
2 by sumitkumarwatts | 0 comments on Hacker News.
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Show HN: Visual studio code for Chromebooks and raspberry pi
2 by headmelted | 0 comments on Hacker News.
2 by headmelted | 0 comments on Hacker News.
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Show HN: AI-Powered Web Collections
2 by misterman0 | 0 comments on Hacker News.
Hi! I've just deployed a new feature to my search engine called "Web Collections". They are a slices of the WWW index, subsets. You decide their size. They are created from the advanced query parser GUI that appear after you query the WWW index. From the GUI, simply give your collection a name and click "Create collection" and the result set from the current query will be appended to your named collection. A link will appear leading you to a search GUI that will let you query this new collection as soon as it's been persisted. All collections can spawn new collections because all are queryable. You may create collections from data that doesn't originate from the WWW index but from somewhere else by utilizing the HTTP API to create/append to/read from and query your collections, freely, right now. There is one last feature to implement before my intended MVP is done and that is to be able to reference collections in the query language so that AND, OR and NOT set operations can be orchestrated across collections. It's got the AI label because I create graphs of word embeddings (bags-of-characters, bag-of-word, bags-of-topics) and virtual vector spaces of clusters of documents and because it's a NLP framework of sorts. It's what I use to analyse and create new language models. Each training session creates a new model that enriches the one it was based on. Here's a demo and a question because I'm of course curious: would this a be slightly useful to you had it been at full WWW scale? http://didyougogo.com
2 by misterman0 | 0 comments on Hacker News.
Hi! I've just deployed a new feature to my search engine called "Web Collections". They are a slices of the WWW index, subsets. You decide their size. They are created from the advanced query parser GUI that appear after you query the WWW index. From the GUI, simply give your collection a name and click "Create collection" and the result set from the current query will be appended to your named collection. A link will appear leading you to a search GUI that will let you query this new collection as soon as it's been persisted. All collections can spawn new collections because all are queryable. You may create collections from data that doesn't originate from the WWW index but from somewhere else by utilizing the HTTP API to create/append to/read from and query your collections, freely, right now. There is one last feature to implement before my intended MVP is done and that is to be able to reference collections in the query language so that AND, OR and NOT set operations can be orchestrated across collections. It's got the AI label because I create graphs of word embeddings (bags-of-characters, bag-of-word, bags-of-topics) and virtual vector spaces of clusters of documents and because it's a NLP framework of sorts. It's what I use to analyse and create new language models. Each training session creates a new model that enriches the one it was based on. Here's a demo and a question because I'm of course curious: would this a be slightly useful to you had it been at full WWW scale? http://didyougogo.com
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Show HN: Archie – Easy cross-compilation for busy developers
2 by headmelted | 0 comments on Hacker News.
2 by headmelted | 0 comments on Hacker News.
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Show HN: Startup Cemetery – Learn why 100+ startups have failed
2 by richclominson | 0 comments on Hacker News.
2 by richclominson | 0 comments on Hacker News.
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Show HN: A builder tool to help generate CSPs in a type-safe way
2 by pgilad | 0 comments on Hacker News.
2 by pgilad | 0 comments on Hacker News.
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Show HN: Zero – A fast, zero configuration server for React, Node.js & Markdown
3 by asadlionpk | 0 comments on Hacker News.
3 by asadlionpk | 0 comments on Hacker News.
Monday, 25 February 2019
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Show HN: Make a hackintosh out of an older mac using Mojave patcher
3 by 0utbreak | 0 comments on Hacker News.
3 by 0utbreak | 0 comments on Hacker News.
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Launch HN: OurWorldInData (YC W19 Nonprofit) – Data on World’s Largest Problems
5 by Hannah_OWID | 0 comments on Hacker News.
Hi HN! We’re Hannah, Esteban, Jaiden and Max, the founders of Our World in Data ( https://ift.tt/1qL7FUP ). We’re a nonprofit in the YC W19 batch. Our World in Data is a nonprofit website that shows how and why global living conditions and the earth's environment are changing. Is the world becoming more violent? Is an end to poverty possible? It's hard to know because daily news focuses on negative single events, and misses long-lasting changes that reshape the world. We’re a group of researchers from the University of Oxford trying to solve this problem. We bring together data and research from many different sources often buried under jargon in static, outdated documents. We present a global perspective on living conditions and environmental change through interactive data visualizations and short explainers. Max started Our World in Data in 2013 whilst working as a researcher at the University of Oxford. The project was born from a frustration that we are so poorly informed about how the world is changing – we fail to notice the important developments shaping our world and are not aware what is possible for the future. It has now evolved into a full-time project with a small team of researchers and web developers (we’ll be looking for a new web developer this week!). We’re all driven by the same motivation: to make sure data and research on how the world is changing is free and accessible for everyone. We cover many topics, ranging from poverty to health, environment, energy, education, and violence. Our data and analysis are available at global, regional and country levels. And we try to provide the longest-term data we can, often going back many decades or centuries. We average more than 1M users per month; these range from policymakers to journalists, academics to school teachers. But we’ve also had some use cases that took us by surprise: To many readers it’s unexpected to see that the world has made substantial progress in important aspects and psychologists have recently told us that they use our website to help patients with depression and anxiety. We did not expect this use of our work at all and asked them for more details. One of them explained: “Facts can be a powerful weapon against fear, a gloomy worldview, learned helplessness. So I help clients find facts at Our World in Data.” We usually work remotely, because we are not all based in the same country – this is the first time that we were able to find a 3-month window of time to move to California and work together. We come from a university environment and applied to YC because we wanted learn from the startup and the technology world. The work at YC and the contact with the partners and other founders have definitely given us an entirely new perspective on how to work. We’re here at HN because we are sure we can learn a lot from the community here. We knew there had been HN threads on aspects of our work before – but after a recent search ( http://bit.ly/OWID-searches-on-HN ) we had no idea there were so many. It’s amazing to see that these posts created such great discussion within the HN community. We would really appreciate any feedback you have on what we can do better. Thank you! Our website is here: https://ift.tt/1qL7FUP We are a non-profit and all our work is entirely free; open access research (Creative Commons licensed) and open source code. If you’re interested in supporting this with a donation to us you can do so here: https://ift.tt/2T56Qc8 Or if you have any other queries, you can reach out at hannah@ourworldindata.org
5 by Hannah_OWID | 0 comments on Hacker News.
Hi HN! We’re Hannah, Esteban, Jaiden and Max, the founders of Our World in Data ( https://ift.tt/1qL7FUP ). We’re a nonprofit in the YC W19 batch. Our World in Data is a nonprofit website that shows how and why global living conditions and the earth's environment are changing. Is the world becoming more violent? Is an end to poverty possible? It's hard to know because daily news focuses on negative single events, and misses long-lasting changes that reshape the world. We’re a group of researchers from the University of Oxford trying to solve this problem. We bring together data and research from many different sources often buried under jargon in static, outdated documents. We present a global perspective on living conditions and environmental change through interactive data visualizations and short explainers. Max started Our World in Data in 2013 whilst working as a researcher at the University of Oxford. The project was born from a frustration that we are so poorly informed about how the world is changing – we fail to notice the important developments shaping our world and are not aware what is possible for the future. It has now evolved into a full-time project with a small team of researchers and web developers (we’ll be looking for a new web developer this week!). We’re all driven by the same motivation: to make sure data and research on how the world is changing is free and accessible for everyone. We cover many topics, ranging from poverty to health, environment, energy, education, and violence. Our data and analysis are available at global, regional and country levels. And we try to provide the longest-term data we can, often going back many decades or centuries. We average more than 1M users per month; these range from policymakers to journalists, academics to school teachers. But we’ve also had some use cases that took us by surprise: To many readers it’s unexpected to see that the world has made substantial progress in important aspects and psychologists have recently told us that they use our website to help patients with depression and anxiety. We did not expect this use of our work at all and asked them for more details. One of them explained: “Facts can be a powerful weapon against fear, a gloomy worldview, learned helplessness. So I help clients find facts at Our World in Data.” We usually work remotely, because we are not all based in the same country – this is the first time that we were able to find a 3-month window of time to move to California and work together. We come from a university environment and applied to YC because we wanted learn from the startup and the technology world. The work at YC and the contact with the partners and other founders have definitely given us an entirely new perspective on how to work. We’re here at HN because we are sure we can learn a lot from the community here. We knew there had been HN threads on aspects of our work before – but after a recent search ( http://bit.ly/OWID-searches-on-HN ) we had no idea there were so many. It’s amazing to see that these posts created such great discussion within the HN community. We would really appreciate any feedback you have on what we can do better. Thank you! Our website is here: https://ift.tt/1qL7FUP We are a non-profit and all our work is entirely free; open access research (Creative Commons licensed) and open source code. If you’re interested in supporting this with a donation to us you can do so here: https://ift.tt/2T56Qc8 Or if you have any other queries, you can reach out at hannah@ourworldindata.org
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Show HN: Fast Newton's Method for Neural Nets, with Finite Difference
2 by curuinor | 0 comments on Hacker News.
2 by curuinor | 0 comments on Hacker News.
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Show HN: I've collected data and analyzed why 100 startups have failed
2 by nicoserdeir | 0 comments on Hacker News.
2 by nicoserdeir | 0 comments on Hacker News.
Sunday, 24 February 2019
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Show HN: Featured Image Maker – Generator of Simple Featured Images
3 by zzzmisa | 0 comments on Hacker News.
3 by zzzmisa | 0 comments on Hacker News.
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Show HN: Docker images wth Node.js nightly builds (updated daily)
2 by ecares | 1 comments on Hacker News.
2 by ecares | 1 comments on Hacker News.
Saturday, 23 February 2019
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Show HN: A rap song about the struggles of finishing a side project
3 by stdoutrap | 0 comments on Hacker News.
Song url: https://www.youtube.com/watch?v=_2GT2PCUN3Q Quick background on the project: I'm a full time programmer and I love making rap music. I see a lot of humor in the profession/industry, and thought it would be fun to combine the two. I'm always open to feedback on audio quality/topic ideas/ways to get more exposure/etc! I am also open to collaboration with beat makers/videographers/producers!
3 by stdoutrap | 0 comments on Hacker News.
Song url: https://www.youtube.com/watch?v=_2GT2PCUN3Q Quick background on the project: I'm a full time programmer and I love making rap music. I see a lot of humor in the profession/industry, and thought it would be fun to combine the two. I'm always open to feedback on audio quality/topic ideas/ways to get more exposure/etc! I am also open to collaboration with beat makers/videographers/producers!
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Show HN: Free BinanceReports Day Trading Tool
2 by alphaboss | 0 comments on Hacker News.
I built this tool to help understand and quickly find coins on the Binance platform specifically for use with day trading. https://ift.tt/2E70L4o... The problem is there's 100+ coins and i'm not going to constantly scan through each one. So the app has categories like 'big movers with volume' and other filters to help you see what's going on RIGHT NOW. You would obviously use this information to identify potential buy in opportunities. Looking for thoughts and recommendations.
2 by alphaboss | 0 comments on Hacker News.
I built this tool to help understand and quickly find coins on the Binance platform specifically for use with day trading. https://ift.tt/2E70L4o... The problem is there's 100+ coins and i'm not going to constantly scan through each one. So the app has categories like 'big movers with volume' and other filters to help you see what's going on RIGHT NOW. You would obviously use this information to identify potential buy in opportunities. Looking for thoughts and recommendations.
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Show HN: The Last 10 Days of Top ML Content Linked in One Simple Page
2 by deepphrase | 0 comments on Hacker News.
2 by deepphrase | 0 comments on Hacker News.
Friday, 22 February 2019
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Show HN: AirSecure – Simple, Open Source, 2FA Key Management Built at EthDenver
5 by andrewxhill | 0 comments on Hacker News.
5 by andrewxhill | 0 comments on Hacker News.
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Launch HN: Modern Labor (YC W19) – Paying People to Learn to Code
4 by asd33313131 | 0 comments on Hacker News.
Hi HN, We are Modern Labor ( https://modernlabor.com ). We pay you to learn to code. We take people with little or no software skills and pay them a livable wage[1] for 5 months while they learn to code, using our content, most of which is open source. In return graduates pay us 15% of their income for 2 years if they are earning over $40,000. The company is born out of a phenomenon I’ve been fascinated with for a long time: many people wake up every day at 7am to work at a low-paying job but they often have difficulty completing a class that might help their future. For some people, it might just come down to money. A job pays now, a class pays off in the future and only maybe. For many reasons--time, energy, motivation, financial pressures--many choose or are forced to choose the job that pays now and their long-term income sometimes suffers as a result. So we had an idea: Why don’t we just pay people to learn? So that’s what we do: we pay people, now, to learn an in-demand skill. I remember back when we were building Leif, a startup we sold last year. I told Dickie, one of our co-founders, if I only had an extra $10,000 I could build out the product to an acceptable quality for a couple months. Otherwise I had to work. He ended up giving the money. We sold the company the next year for a good outcome. That couple months of being able to focus made a big difference in the quality of the product and I think ultimately on how successful we were with customers. We think Modern Labor can give people enough time to make a real change in their lives. Our program isn’t for everyone. It’s full time. We pay $2000 for 5 months. Sometimes that’s more than enough to live on, sometimes it’s not, especially in the Bay Area. Nearly impossible with a family. You need the right to work in the US. The program is mostly self-directed and online. We guide students with a learning pathway and code reviews, but it’s ultimately up to them. If they don’t do their lessons, we don’t pay. It’s far too short for some people. Right now the curriculum is JavaScript (React, Redux) and Python and focuses on the web, which is only one sliver of the software universe. Most of the content is open source. Some of it’s from places like Freecodecamp, which is available for free. If you have money, you don’t need us. 15% of gross income is a lot. Why so much? It comes down to simple risk/return: returns must be adequate given the risk. If it sounds a lot like Lambda School (YC S17), you’re right. Our former company Leif financed them. We discovered Austen (CEO) here on HN. It’s a big space, though, and our program is different from theirs. We have fewer mentors and our focus is on giving money to students. How many people will do our program? About 50,000 people pay to attend coding bootcamps in the US each year. We believe, and may be wrong, that a lot more people will choose learning when we pay them to do it. Thank you HN -- HN was the first thing people told me to read when I was learning to code and it’s been a big part of my life ever since. Happy to answer any questions and looking forward to hearing your ideas and feedback! [1] Right now it’s $2000/month
4 by asd33313131 | 0 comments on Hacker News.
Hi HN, We are Modern Labor ( https://modernlabor.com ). We pay you to learn to code. We take people with little or no software skills and pay them a livable wage[1] for 5 months while they learn to code, using our content, most of which is open source. In return graduates pay us 15% of their income for 2 years if they are earning over $40,000. The company is born out of a phenomenon I’ve been fascinated with for a long time: many people wake up every day at 7am to work at a low-paying job but they often have difficulty completing a class that might help their future. For some people, it might just come down to money. A job pays now, a class pays off in the future and only maybe. For many reasons--time, energy, motivation, financial pressures--many choose or are forced to choose the job that pays now and their long-term income sometimes suffers as a result. So we had an idea: Why don’t we just pay people to learn? So that’s what we do: we pay people, now, to learn an in-demand skill. I remember back when we were building Leif, a startup we sold last year. I told Dickie, one of our co-founders, if I only had an extra $10,000 I could build out the product to an acceptable quality for a couple months. Otherwise I had to work. He ended up giving the money. We sold the company the next year for a good outcome. That couple months of being able to focus made a big difference in the quality of the product and I think ultimately on how successful we were with customers. We think Modern Labor can give people enough time to make a real change in their lives. Our program isn’t for everyone. It’s full time. We pay $2000 for 5 months. Sometimes that’s more than enough to live on, sometimes it’s not, especially in the Bay Area. Nearly impossible with a family. You need the right to work in the US. The program is mostly self-directed and online. We guide students with a learning pathway and code reviews, but it’s ultimately up to them. If they don’t do their lessons, we don’t pay. It’s far too short for some people. Right now the curriculum is JavaScript (React, Redux) and Python and focuses on the web, which is only one sliver of the software universe. Most of the content is open source. Some of it’s from places like Freecodecamp, which is available for free. If you have money, you don’t need us. 15% of gross income is a lot. Why so much? It comes down to simple risk/return: returns must be adequate given the risk. If it sounds a lot like Lambda School (YC S17), you’re right. Our former company Leif financed them. We discovered Austen (CEO) here on HN. It’s a big space, though, and our program is different from theirs. We have fewer mentors and our focus is on giving money to students. How many people will do our program? About 50,000 people pay to attend coding bootcamps in the US each year. We believe, and may be wrong, that a lot more people will choose learning when we pay them to do it. Thank you HN -- HN was the first thing people told me to read when I was learning to code and it’s been a big part of my life ever since. Happy to answer any questions and looking forward to hearing your ideas and feedback! [1] Right now it’s $2000/month
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Show HN: React Resources – 2200 resources in 138 topics, by 1020 developers
3 by reacttricks | 0 comments on Hacker News.
3 by reacttricks | 0 comments on Hacker News.
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Show HN: Sendnoodz.io Spam Your Friends Noodles MMS for an Hour
2 by badideaprojects | 0 comments on Hacker News.
2 by badideaprojects | 0 comments on Hacker News.
Thursday, 21 February 2019
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Show HN: Clarify – Awesome tools to Help You Launch and Manage Your Career
3 by realm247 | 1 comments on Hacker News.
3 by realm247 | 1 comments on Hacker News.
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Show HN: Timer.Plus – Generate an Animated .GIF Countdown Timer
2 by acoyfellow | 0 comments on Hacker News.
2 by acoyfellow | 0 comments on Hacker News.
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Show HN: Make Google Fonts Render 1-3 Seconds Faster in Slow Networks
3 by iamakulov | 1 comments on Hacker News.
3 by iamakulov | 1 comments on Hacker News.
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Show HN: CoWatch.video – Watch Video Files with Friends Using WebRTC
2 by hauxir | 0 comments on Hacker News.
2 by hauxir | 0 comments on Hacker News.
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Launch HN: Balto (YC W19) – Fantasy Sports People Bet On
3 by spencercassidy | 0 comments on Hacker News.
Hi everyone! We’re Spencer, Nick, and Joel, co-founders of Balto ( https://ift.tt/2SistAn ). We develop tools for users to organize fantasy sports games that people bet on. Yes, we said it, betting! March Madness brackets, NFL survivor pools, PGA pickems and more. With laws changing, sports gambling is becoming a reality in all states. Last year, 60M brackets were filled out with over $10B dollars wagered for March Madness. This is just one subset of the market we’re going after. Despite these figures, games such as brackets, survivor pools and pickems continue to be overlooked while cumulative wagers climb to an estimated $20B+. Sports run in our DNA. We’re former athletes that come from sports families—Nick’s the son of Hall of Fame Quarterback, Joe Montana. With sports deeply embedded in our lives, we always wondered what happens beyond the playing field the three of us met on. For years, we ran sports betting pools and leagues for our friends, co-workers and others as a hobby. Things began to take off dramatically, but posed a major problem. The software that we used was outdated and not conducive for managers (ourselves) or the bettors (users). We saw this as a major opportunity to go after due to the gambling laws and space evolving. Within a few short months we’d built an enhanced platform for managers and bettors to play on: Balto. Not only did we notice high retention amongst our users from game-to-game, but the increased social interaction and engagement amongst peers made our platform more sticky. Aside from Balto, the current options for users are third-party websites or large antiquated media companies, which aren’t betting or gaming companies. These platforms prioritize content and ads over a great UX, and completely miss on delivering the social interactions inherent to what makes playing these games (with your friends and family) so much fun. We aim to become the go-to platform that aggregates all betting pool games for casual fans and gamblers. We're putting the user experience at the forefront of the product by enhancing the social experience for users, the management tools for league organizers, and placing all of your favorite games onto one, mobile-first platform. It’s a tall task, especially when factoring in the laws, but it’s a space we’re beyond passionate about. To test the product, feel free to visit www.playbalto.com. We’re currently running a free to play March Madness Challenge! Feedback is more than welcome, don't hesitate to share in the comments. We're eager to hear your thoughts, ideas and experiences in this space. Thanks!
3 by spencercassidy | 0 comments on Hacker News.
Hi everyone! We’re Spencer, Nick, and Joel, co-founders of Balto ( https://ift.tt/2SistAn ). We develop tools for users to organize fantasy sports games that people bet on. Yes, we said it, betting! March Madness brackets, NFL survivor pools, PGA pickems and more. With laws changing, sports gambling is becoming a reality in all states. Last year, 60M brackets were filled out with over $10B dollars wagered for March Madness. This is just one subset of the market we’re going after. Despite these figures, games such as brackets, survivor pools and pickems continue to be overlooked while cumulative wagers climb to an estimated $20B+. Sports run in our DNA. We’re former athletes that come from sports families—Nick’s the son of Hall of Fame Quarterback, Joe Montana. With sports deeply embedded in our lives, we always wondered what happens beyond the playing field the three of us met on. For years, we ran sports betting pools and leagues for our friends, co-workers and others as a hobby. Things began to take off dramatically, but posed a major problem. The software that we used was outdated and not conducive for managers (ourselves) or the bettors (users). We saw this as a major opportunity to go after due to the gambling laws and space evolving. Within a few short months we’d built an enhanced platform for managers and bettors to play on: Balto. Not only did we notice high retention amongst our users from game-to-game, but the increased social interaction and engagement amongst peers made our platform more sticky. Aside from Balto, the current options for users are third-party websites or large antiquated media companies, which aren’t betting or gaming companies. These platforms prioritize content and ads over a great UX, and completely miss on delivering the social interactions inherent to what makes playing these games (with your friends and family) so much fun. We aim to become the go-to platform that aggregates all betting pool games for casual fans and gamblers. We're putting the user experience at the forefront of the product by enhancing the social experience for users, the management tools for league organizers, and placing all of your favorite games onto one, mobile-first platform. It’s a tall task, especially when factoring in the laws, but it’s a space we’re beyond passionate about. To test the product, feel free to visit www.playbalto.com. We’re currently running a free to play March Madness Challenge! Feedback is more than welcome, don't hesitate to share in the comments. We're eager to hear your thoughts, ideas and experiences in this space. Thanks!
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Show HN: Podscope – Easily Convert Your Favorite Periscope Streams to Podcasts
2 by bonobo886 | 1 comments on Hacker News.
2 by bonobo886 | 1 comments on Hacker News.
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Show HN: Scapehouse – A Prototype of a Clique-Based Dialogue Platform
2 by The_Androctonus | 0 comments on Hacker News.
2 by The_Androctonus | 0 comments on Hacker News.
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Show HN: I'm a Robot Tech Enthusiast and This Is My Robot Website
2 by zerzeru | 1 comments on Hacker News.
2 by zerzeru | 1 comments on Hacker News.
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Show HN: Visual Studio Code for Chromebooks and Raspberry Pi
2 by headmelted | 0 comments on Hacker News.
2 by headmelted | 0 comments on Hacker News.
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Show HN: ICONSVG – Customize and Generate Common SVG Icons
2 by gaddafirusli | 0 comments on Hacker News.
2 by gaddafirusli | 0 comments on Hacker News.
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Show HN: an app to A/B test your Tinder profile pics. What do you think?
2 by ksaitor | 1 comments on Hacker News.
2 by ksaitor | 1 comments on Hacker News.
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Show HN: One-Liner to Prune Files to Reach Disk Percentage
3 by mrmattyboy | 0 comments on Hacker News.
3 by mrmattyboy | 0 comments on Hacker News.
Wednesday, 20 February 2019
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Show HN: My 57-Page Notes on How to Start a Startup by YC
2 by charleswzx | 1 comments on Hacker News.
2 by charleswzx | 1 comments on Hacker News.
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Show HN: Saltshaker-Crypto, NPM to Sign, Verify, Encrypt and Decrypt with Nacl
4 by rasengan | 0 comments on Hacker News.
4 by rasengan | 0 comments on Hacker News.
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Show HN: Plex Alternative with Custom Metadata and Better Search
2 by kumpelblase2 | 1 comments on Hacker News.
2 by kumpelblase2 | 1 comments on Hacker News.
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Show HN: Free NPS Surveys and Analytics for B2B SaaS Teams
2 by jhdavids8 | 0 comments on Hacker News.
2 by jhdavids8 | 0 comments on Hacker News.
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Show HN: SaltShaker, Easily Encrypt/Decrypt/Sign/Verify in JavaScript
2 by rasengan | 0 comments on Hacker News.
2 by rasengan | 0 comments on Hacker News.
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Show HN: Tech Productivity – A Newsletter for Techs Who Want to Get Stuff Done
2 by ImpressiveWebs | 0 comments on Hacker News.
2 by ImpressiveWebs | 0 comments on Hacker News.
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Show HN: Commento.io: a fast, privacy-focused alternative to Disqus
2 by adtac | 0 comments on Hacker News.
2 by adtac | 0 comments on Hacker News.
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Launch HN: Avo (YC W19) – Minimize Human Errors When Implementing Analytics
4 by stefaniabje | 0 comments on Hacker News.
Hi HN! We’re Árni, Sölvi, Thora, and Stef – from Iceland. We make Avo ( https://www.avo.app ), a tool built to minimize human errors and overhead when implementing analytics. We’re going for “simple made easy” for maintaining tracking for cross platform consumer products, where a 1% change in conversion funnels makes a difference. It’s a code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. We’re solving a personal pain point of broken analytics and how much effort it was to have an overview of what was being tracked across product teams and platforms. We all worked together on a game called QuizUp (100M+ users) where we used metrics to make decisions. The problem was we repeatedly “broke” conversion funnels and retention charts we relied on when we shipped product updates, by mistakenly removing or changing analytics implementation. It was driving everyone involved mad – so we built internal dev tools and processes that made implementation easier and our data more reliable. What we built was never perfect, and it was clunky in many ways: 1) There was no one that really wanted to maintain this – but developers ended up agreeing to maintain it because it was better than the alternative of frustrated data scientists requesting a fix for analytics implementation that the developers worked on weeks or months ago. 2) JSON files (or the crappy web apps we invested time in building on top of the JSON schemas) didn’t give us a “human-accessible” overview of what was being tracked and when. So people who weren’t working on analytics every day had no idea what data they should look at to dig into user behavior. We also discovered that a lot of companies build similar stuff – i.e. some version of internal tools for data validation, either through code gen or through server-side validation, often based on JSON schemas. The same seems to apply for those companies; it’s clunky to update, doesn’t give a proper overview, and no one wants to maintain it – yet it beats the alternative of not having it. So now, six years after we started maintaining tools like these internally, we’ve built Avo, to solve these issues for more people. Here’s how it works: 1) The web app is built to optimize the experience of maintaining and version controlling complicated event schemas. That means a few things, for example: - we built a “differ” that feels similar to git, but instead of line-based diff, it’s object-based - when you make updates, Avo gives you suggestions to maintain casing and reuse properties across events. - you can view the historical change of each object similar to Asana tasks 2) The code gen is optimized for bringing type safety and rigour to analytics implementation: - You install a CLI to easily update (`avo pull`) your tracking library according to the latest version of the event schema. The generated code contains a type-safe function per each event. - For example: A "Cart Updated" event with an "Item Count" property, would generate `cartUpdated(itemCount: Int)` for Swift. For dynamic languages, as well as for limitations which cannot be expressed through type systems, such as min / max, the runtime validation logs warnings or errors for data structure errors. Things to note: - Avo does not store, process or access your data – so no GDPR approval required. - The Avo code generated libraries wrap whatever analytics SDK you already use. You can use the Avo library alongside the tracking you already have, or do a full migration to make sure all your events are according to the specs in Avo. - Avo is not another analytics or data pipeline vendor. We love the ones that exist already. We’ve just built Avo to make sure we can use the data we send into them. Thanks for reading, HN. We would love to hear your feedback, as well as stories of when you built this internally or when you wish you had this.
4 by stefaniabje | 0 comments on Hacker News.
Hi HN! We’re Árni, Sölvi, Thora, and Stef – from Iceland. We make Avo ( https://www.avo.app ), a tool built to minimize human errors and overhead when implementing analytics. We’re going for “simple made easy” for maintaining tracking for cross platform consumer products, where a 1% change in conversion funnels makes a difference. It’s a code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. We’re solving a personal pain point of broken analytics and how much effort it was to have an overview of what was being tracked across product teams and platforms. We all worked together on a game called QuizUp (100M+ users) where we used metrics to make decisions. The problem was we repeatedly “broke” conversion funnels and retention charts we relied on when we shipped product updates, by mistakenly removing or changing analytics implementation. It was driving everyone involved mad – so we built internal dev tools and processes that made implementation easier and our data more reliable. What we built was never perfect, and it was clunky in many ways: 1) There was no one that really wanted to maintain this – but developers ended up agreeing to maintain it because it was better than the alternative of frustrated data scientists requesting a fix for analytics implementation that the developers worked on weeks or months ago. 2) JSON files (or the crappy web apps we invested time in building on top of the JSON schemas) didn’t give us a “human-accessible” overview of what was being tracked and when. So people who weren’t working on analytics every day had no idea what data they should look at to dig into user behavior. We also discovered that a lot of companies build similar stuff – i.e. some version of internal tools for data validation, either through code gen or through server-side validation, often based on JSON schemas. The same seems to apply for those companies; it’s clunky to update, doesn’t give a proper overview, and no one wants to maintain it – yet it beats the alternative of not having it. So now, six years after we started maintaining tools like these internally, we’ve built Avo, to solve these issues for more people. Here’s how it works: 1) The web app is built to optimize the experience of maintaining and version controlling complicated event schemas. That means a few things, for example: - we built a “differ” that feels similar to git, but instead of line-based diff, it’s object-based - when you make updates, Avo gives you suggestions to maintain casing and reuse properties across events. - you can view the historical change of each object similar to Asana tasks 2) The code gen is optimized for bringing type safety and rigour to analytics implementation: - You install a CLI to easily update (`avo pull`) your tracking library according to the latest version of the event schema. The generated code contains a type-safe function per each event. - For example: A "Cart Updated" event with an "Item Count" property, would generate `cartUpdated(itemCount: Int)` for Swift. For dynamic languages, as well as for limitations which cannot be expressed through type systems, such as min / max, the runtime validation logs warnings or errors for data structure errors. Things to note: - Avo does not store, process or access your data – so no GDPR approval required. - The Avo code generated libraries wrap whatever analytics SDK you already use. You can use the Avo library alongside the tracking you already have, or do a full migration to make sure all your events are according to the specs in Avo. - Avo is not another analytics or data pipeline vendor. We love the ones that exist already. We’ve just built Avo to make sure we can use the data we send into them. Thanks for reading, HN. We would love to hear your feedback, as well as stories of when you built this internally or when you wish you had this.
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Show HN: ML Model That Predicts Your Mindset Based on Your LinkedIn Profile
7 by superzadeh | 0 comments on Hacker News.
7 by superzadeh | 0 comments on Hacker News.
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Show HN: A Hands-On Guide on PySpark Coding and Best Practices
3 by ericxiao251 | 0 comments on Hacker News.
3 by ericxiao251 | 0 comments on Hacker News.
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Show HN: Find Eco-friendly alternatives to Products You Use Everyday
2 by boudra | 0 comments on Hacker News.
2 by boudra | 0 comments on Hacker News.
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Show HN: GitNews Web – Trending Repositories from GitHub, HackerNews and Reddit
6 by sandoche | 1 comments on Hacker News.
6 by sandoche | 1 comments on Hacker News.
Tuesday, 19 February 2019
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Show HN: Patching.io, Follow GitHub Developers and Repos to See What's Going On
3 by robvanderleek | 0 comments on Hacker News.
3 by robvanderleek | 0 comments on Hacker News.
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Show HN: Simple Webapp to Play with Open AI Transformer (Smaller Version)
2 by holyash | 0 comments on Hacker News.
2 by holyash | 0 comments on Hacker News.
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Show HN: Archie – Easier Multiple Architecture Compilation in the Cloud
5 by headmelted | 0 comments on Hacker News.
5 by headmelted | 0 comments on Hacker News.
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Show HN : Chrome Extension to See IMDB Ratings Directly on Netflix
2 by pawannitj | 0 comments on Hacker News.
2 by pawannitj | 0 comments on Hacker News.
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Show HN: RipZap – The Fastest Structured, Leveled JSON Logger for Go
2 by z0mbie42 | 0 comments on Hacker News.
2 by z0mbie42 | 0 comments on Hacker News.
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Show HN: Stock Screener and Portfolio Management for DIY Equity Investors
2 by sjoebergco | 0 comments on Hacker News.
2 by sjoebergco | 0 comments on Hacker News.
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Show HN: TensorFlow Serving with OpenFaaS and Kubernetes
2 by alexellisuk | 0 comments on Hacker News.
2 by alexellisuk | 0 comments on Hacker News.
Monday, 18 February 2019
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Show HN: Summarized Finance / Tech Newsletter Using Natural Language Processing
3 by chidog12 | 0 comments on Hacker News.
3 by chidog12 | 0 comments on Hacker News.
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Show HN: Nintendo Switch Emulator for Android (Experimental)
2 by bauripalash | 0 comments on Hacker News.
2 by bauripalash | 0 comments on Hacker News.
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Show HN: Visualize Git Commits and Pull Requests Across Many Repos
7 by ghempton | 1 comments on Hacker News.
7 by ghempton | 1 comments on Hacker News.
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Show HN: Board Game AtlasBoard Game Atlas – A Map to the World of Board Games
4 by trentellingsen | 2 comments on Hacker News.
4 by trentellingsen | 2 comments on Hacker News.
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Show HN: Joe Schmoe – Illustrated avatars for developers and designers
4 by jypepin | 0 comments on Hacker News.
4 by jypepin | 0 comments on Hacker News.
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Show HN: Mailrecipe limits the number of emails you send to a user to 1 per day
4 by QueensGambit | 0 comments on Hacker News.
Last week, I spammed my users with emails by mistake. I had written an idempotent method to do a transaction and send a confirmation email. I didn't realize the email call is not idempotent. So, when the transaction failed, it retried again and again and spammed the entire user base with emails. I was so embarrassed and wrote an API layer on top of my email delivery service (SendGrid) to ensure that my users won't get more than 1 email per day, irrespective of my architecture or mistakes. I am publishing it as a public API, in case anyone else needs it: http://bit.ly/2SGcJw2 Have you run into this problem? How did you solve it?
4 by QueensGambit | 0 comments on Hacker News.
Last week, I spammed my users with emails by mistake. I had written an idempotent method to do a transaction and send a confirmation email. I didn't realize the email call is not idempotent. So, when the transaction failed, it retried again and again and spammed the entire user base with emails. I was so embarrassed and wrote an API layer on top of my email delivery service (SendGrid) to ensure that my users won't get more than 1 email per day, irrespective of my architecture or mistakes. I am publishing it as a public API, in case anyone else needs it: http://bit.ly/2SGcJw2 Have you run into this problem? How did you solve it?
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Show HN: Two strange useless things to do with a neural net
4 by curuinor | 0 comments on Hacker News.
4 by curuinor | 0 comments on Hacker News.
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Show HN: How to generate random geocoordinates within a given radius
3 by jordinl | 0 comments on Hacker News.
3 by jordinl | 0 comments on Hacker News.
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Show HN: PingStack.io – Simple uptime monitoring for websites and APIs
2 by varlogix | 0 comments on Hacker News.
2 by varlogix | 0 comments on Hacker News.
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Show HN: Actiondesk Build powerful automations with just your spreadsheet skills
2 by joparisot | 0 comments on Hacker News.
Hi HN, I'm Jonathan from Actiondesk ( http://bit.ly/2U2jCEk ) We have built Actiondesk to let anyone build powerful automations using only their spreadsheet skills I'm initially a non-technical person, huge Excel / Sheets and Zapier user. As I was managing an e-commerce company, I saw a few things: - The flexibility that spreadsheets give you to manipulate and transform your data is unrivaled - As we live in a world where data is siloed, the ability of Zapier to interact easily with all your business apps is a must have. I wished I had a tool that would mix the flexibility of Excel and the ease of interacting with data sources and apps of Zapier Actiondesk is the result of that thought process. It lets users: - Import data from various sources (database and business apps), - Run data transformations - Trigger actions in your favorite business applications It's still an early work but it's in public beta, so feel free to try it out and give us feedback. We know every one here has high standards, and it can only be helpful to know what you think, especially if it's bad :) From Paris with love. PS: oh and by the way, we launched on Product Hunt today, if you want to join the conversation there.
2 by joparisot | 0 comments on Hacker News.
Hi HN, I'm Jonathan from Actiondesk ( http://bit.ly/2U2jCEk ) We have built Actiondesk to let anyone build powerful automations using only their spreadsheet skills I'm initially a non-technical person, huge Excel / Sheets and Zapier user. As I was managing an e-commerce company, I saw a few things: - The flexibility that spreadsheets give you to manipulate and transform your data is unrivaled - As we live in a world where data is siloed, the ability of Zapier to interact easily with all your business apps is a must have. I wished I had a tool that would mix the flexibility of Excel and the ease of interacting with data sources and apps of Zapier Actiondesk is the result of that thought process. It lets users: - Import data from various sources (database and business apps), - Run data transformations - Trigger actions in your favorite business applications It's still an early work but it's in public beta, so feel free to try it out and give us feedback. We know every one here has high standards, and it can only be helpful to know what you think, especially if it's bad :) From Paris with love. PS: oh and by the way, we launched on Product Hunt today, if you want to join the conversation there.
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Show HN: ZAPPER, to quickly remove annoying banners and popups
2 by maxwellito | 0 comments on Hacker News.
2 by maxwellito | 0 comments on Hacker News.
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Show HN: inlets – expose your local endpoints to the Internet
2 by alexellisuk | 0 comments on Hacker News.
2 by alexellisuk | 0 comments on Hacker News.
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Show HN : How to write a simple toy database in Python within minutes
2 by bauripalash | 0 comments on Hacker News.
2 by bauripalash | 0 comments on Hacker News.
Sunday, 17 February 2019
Saturday, 16 February 2019
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Show HN: ONNEMI-4211, A minimal coding style that can be used with any language
2 by erikpukinskis | 1 comments on Hacker News.
2 by erikpukinskis | 1 comments on Hacker News.
Friday, 15 February 2019
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Show HN: Timeliner – A tool to download all your online content
3 by mholt | 0 comments on Hacker News.
3 by mholt | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Chord Assist – An accessible smart guitar for the blind, deaf and mute
2 by hitherejoe | 0 comments on Hacker News.
2 by hitherejoe | 0 comments on Hacker News.
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Show HN: A Project to Help Explore ReactJS (Libs/Modules/Components and More)
2 by boyneyy123 | 0 comments on Hacker News.
2 by boyneyy123 | 0 comments on Hacker News.
Thursday, 14 February 2019
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Show HN: HTML5 MMORPG – almost 7 years in the making
2 by marxdeveloper | 0 comments on Hacker News.
2 by marxdeveloper | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Always Be Closing – Pull Request Management Service
2 by drmajormccheese | 0 comments on Hacker News.
2 by drmajormccheese | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Globster.xyz – a tool to test and visualise glob pattern matching
2 by dominiqus | 0 comments on Hacker News.
2 by dominiqus | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Flutter, Fluro, GraphQL, Graphene and Google Datastore Experiment
3 by caraujorenan | 0 comments on Hacker News.
3 by caraujorenan | 0 comments on Hacker News.
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Launch HN: Glide (YC W19) – Mobile Apps from Google Sheets
1 by dvdsgl | 0 comments on Hacker News.
Hello, HN! We're Antonio, David, Jason, and Mark. We’re building Glide ( https://glideapps.com ). Before this we worked on Xamarin, quicktype, Ubuntu, Mono, and GNOME Do :D Glide makes it easy & fun for anyone to create apps without code. Pick a Google Sheet and Glide assembles a polished, data-driven app that you can customize, share as a PWA, and publish to the App Store and Google Play if you desire. We've spent the last decade building developer tools. In that time we've watched thousands of developers struggle to design, implement, and maintain apps, and most developers we know avoid mobile development altogether. Apart from developers, we hear worthy app ideas from non-technical colleagues, friends, and family every day: apps for work, new business ideas, and silly apps just for fun. All of these people can make websites, so why can't they make apps? We were dismayed to find that there are hundreds of 'low-code app builders', but none that excited us. They're enterprisey, they output kludgy apps, and their low-code contrivances often felt more complicated than the code they replaced. Why hasn't anyone made the Google Docs or Figma of apps yet, we wondered. That's our ambition. Glide makes app development web-based, collaborative (coming), and fun by combining data-bound components with a familiar spreadsheet model. Spreadsheets are the most successful programming model of all time, and smartphones are the most successful computer, so we're bringing them together to enable anyone to create apps without code. We've implemented a component model based on self-adjusting computation ( http://bit.ly/1phDg9f ), which allows Glide apps to update efficiently and continuously just like spreadsheets. You can see the benefit of this in our Comments component, which syncs comments in real-time to instances of the same app. In other words, Glide apps are multiplayer by default. We're just getting started and would love feedback on the approach. There are many technical/design challenges ahead of us but we are encouraged by the useful apps our users have created with this early version. We even use Glide to build Glide–internally we've created dashboard apps, an app to share updates with our advisors, a directory that shows us which Glide apps are trending, and an app for our YC group. Next on our roadmap: forms, improved image handling, notifications, and offline. - Get started: http://bit.ly/2IcJn3r - Video demo: https://www.youtube.com/watch?v=smNwrz9wMxU - App templates: http://bit.ly/2Gt5C3m Thank you.
1 by dvdsgl | 0 comments on Hacker News.
Hello, HN! We're Antonio, David, Jason, and Mark. We’re building Glide ( https://glideapps.com ). Before this we worked on Xamarin, quicktype, Ubuntu, Mono, and GNOME Do :D Glide makes it easy & fun for anyone to create apps without code. Pick a Google Sheet and Glide assembles a polished, data-driven app that you can customize, share as a PWA, and publish to the App Store and Google Play if you desire. We've spent the last decade building developer tools. In that time we've watched thousands of developers struggle to design, implement, and maintain apps, and most developers we know avoid mobile development altogether. Apart from developers, we hear worthy app ideas from non-technical colleagues, friends, and family every day: apps for work, new business ideas, and silly apps just for fun. All of these people can make websites, so why can't they make apps? We were dismayed to find that there are hundreds of 'low-code app builders', but none that excited us. They're enterprisey, they output kludgy apps, and their low-code contrivances often felt more complicated than the code they replaced. Why hasn't anyone made the Google Docs or Figma of apps yet, we wondered. That's our ambition. Glide makes app development web-based, collaborative (coming), and fun by combining data-bound components with a familiar spreadsheet model. Spreadsheets are the most successful programming model of all time, and smartphones are the most successful computer, so we're bringing them together to enable anyone to create apps without code. We've implemented a component model based on self-adjusting computation ( http://bit.ly/1phDg9f ), which allows Glide apps to update efficiently and continuously just like spreadsheets. You can see the benefit of this in our Comments component, which syncs comments in real-time to instances of the same app. In other words, Glide apps are multiplayer by default. We're just getting started and would love feedback on the approach. There are many technical/design challenges ahead of us but we are encouraged by the useful apps our users have created with this early version. We even use Glide to build Glide–internally we've created dashboard apps, an app to share updates with our advisors, a directory that shows us which Glide apps are trending, and an app for our YC group. Next on our roadmap: forms, improved image handling, notifications, and offline. - Get started: http://bit.ly/2IcJn3r - Video demo: https://www.youtube.com/watch?v=smNwrz9wMxU - App templates: http://bit.ly/2Gt5C3m Thank you.
New Show Hacker News story: latest news
Show HN: AIDomainSearch – Find the Perfect Domain with AI
2 by mohit_agg | 0 comments on Hacker News.
2 by mohit_agg | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Library by GraphQL Editor – Visual Tool for GraphQL
3 by rmatyszewski | 0 comments on Hacker News.
3 by rmatyszewski | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Scatterplot.online – emoji scatter plot and much more
2 by dominiqus | 0 comments on Hacker News.
2 by dominiqus | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: The best resources to start learning GraphQL
2 by rmatyszewski | 0 comments on Hacker News.
2 by rmatyszewski | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Cortex – machine learning infrastructure for developers
4 by deliahu | 0 comments on Hacker News.
4 by deliahu | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Airtext – Create your own decentralized blog with one click
2 by sihaelov | 0 comments on Hacker News.
2 by sihaelov | 0 comments on Hacker News.
Wednesday, 13 February 2019
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Show HN: Voices – Text to speech using familiar A.I. generated voices
2 by baileydrake | 0 comments on Hacker News.
2 by baileydrake | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Beginner Tutorial for React Web Application Builder
2 by ipselon | 0 comments on Hacker News.
2 by ipselon | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Open source agent to optimize Kubernetes cluster
2 by omehelba | 0 comments on Hacker News.
http://bit.ly/2SuSoKb Would love to get the community's feedback. this agent is open source and it currently connects to Magalix backend which has an always free offering for you to monitor and optimize your resources on K8s.
2 by omehelba | 0 comments on Hacker News.
http://bit.ly/2SuSoKb Would love to get the community's feedback. this agent is open source and it currently connects to Magalix backend which has an always free offering for you to monitor and optimize your resources on K8s.
New Show Hacker News story: latest news
Show HN: Interactive GLSL fragment shaders editor made with Qt
2 by vmakeev | 0 comments on Hacker News.
2 by vmakeev | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Owwly 2.0 – home for digital products crafted with passion to design
2 by Wolfmother | 0 comments on Hacker News.
2 by Wolfmother | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: QDeferred – Alternative for Qt C++ Threading API
2 by juangburgos | 0 comments on Hacker News.
2 by juangburgos | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: The Startup Calculator – Find out how profitable your startup will be
2 by donfontijn | 0 comments on Hacker News.
2 by donfontijn | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Reverie – A ridiculously elegant Jekyll theme for blogging
2 by amitmerchant | 0 comments on Hacker News.
2 by amitmerchant | 0 comments on Hacker News.
Tuesday, 12 February 2019
New Show Hacker News story: latest news
Show HN: DeskGap – Like Electron, but uses the system webview
3 by patr0nus | 1 comments on Hacker News.
3 by patr0nus | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Matlock Extension – Discover the Open Source Libraries Pages Are Using
27 by onassar | 3 comments on Hacker News.
27 by onassar | 3 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Beginning knowledge for leading and managing engineers
2 by cephaslr | 0 comments on Hacker News.
2 by cephaslr | 0 comments on Hacker News.
New Show Hacker News story: latest news
Launch HN: Dyneti (YC W19) – Helping apps stop fraud and process payments faster
1 by julia-zheng | 0 comments on Hacker News.
Hi HN, We’re Julia and Lena, the founders of Dyneti ( https://dyneti.com ). Our first product is DyScan, an SDK that helps apps stop fraud and process payments faster by taking a picture of a credit card ( https://youtu.be/3gzDECAsqXs ). We met about 3 years ago at Uber, where we worked together to fight fraud on the platform. (Merchants are liable for fraud losses on digital transactions). One thing we noticed is a problem industry-wide is that while there is tons of investment in detection (rules and models and features), barely any work goes into figuring out what to do to someone after tagging them as fraudulent. Most of the reliable actions - the ones that actually stop fraud - are very severe (e.g., account banning). In order to minimize good users impacted, fraud systems are built to detect very specific fraud behaviors. It is therefore easy for fraudsters to reverse engineer models and rules and iterate around them, which means even more investment into detection. Along those lines, we noticed few companies realize card scanning is a powerful tool to reduce fraud and improve digital transaction security. Stolen credit card fraud is a major contributor to payment fraud losses. Fraudsters attempting to pay with stolen cards rarely have the physical card on hand, but rather, are running through a list of stolen credit card numbers, expiration dates, and cvvs. Having people enter payment information through a card scan will only allow users with a physical card present to go through with payment. It’s extremely rare to have a tool that both improves customer experience and improves security - but an accurate card scanner accomplishes this. In addition to being a powerful tool for fraud prevention, DyScan also provides a nontrivial conversion boost at checkout by reducing time and effort required to enter payment information (under 5 seconds for DyScan, compared to 21 seconds for manual entry). DyScan is also the only card scanner SDK that works on all credit card formats, including non-embossed numbers, numbers on the back, vertical cards, and Quick-Read format cards (those are the weird ones you may have seen around with a four-digit groups stacked on top of each other). Card.io, which is the card scanner experience you may have seen in other apps, works on only one credit card format (embossed numbers on the front of the card). Other card scanners aren't great because they were constrained technologically at the time they were built. Due to PCI compliance, credit cards must be scanned on device, and it hasn’t been possible to get a good deep learning model small enough to do this until very recently (due to more neural net processing power on devices and better tooling). The additional benefit of this approach is that it means zero latency, which can make a huge difference in terms of user experience and user friction. How it works: After an app integrates DyScan into its checkout process, their users can enter payment information by holding a credit card up to a smartphone camera. At the same time, DyScan verifies that the card is real and non-fraudulent. This results in more good transactions while bad transactions are blocked. We’ve been working hard on DyScan for the past few months and are very excited to share it with the HN community and get your insights on what we’re building. Thanks for reading! Julia & Lena
1 by julia-zheng | 0 comments on Hacker News.
Hi HN, We’re Julia and Lena, the founders of Dyneti ( https://dyneti.com ). Our first product is DyScan, an SDK that helps apps stop fraud and process payments faster by taking a picture of a credit card ( https://youtu.be/3gzDECAsqXs ). We met about 3 years ago at Uber, where we worked together to fight fraud on the platform. (Merchants are liable for fraud losses on digital transactions). One thing we noticed is a problem industry-wide is that while there is tons of investment in detection (rules and models and features), barely any work goes into figuring out what to do to someone after tagging them as fraudulent. Most of the reliable actions - the ones that actually stop fraud - are very severe (e.g., account banning). In order to minimize good users impacted, fraud systems are built to detect very specific fraud behaviors. It is therefore easy for fraudsters to reverse engineer models and rules and iterate around them, which means even more investment into detection. Along those lines, we noticed few companies realize card scanning is a powerful tool to reduce fraud and improve digital transaction security. Stolen credit card fraud is a major contributor to payment fraud losses. Fraudsters attempting to pay with stolen cards rarely have the physical card on hand, but rather, are running through a list of stolen credit card numbers, expiration dates, and cvvs. Having people enter payment information through a card scan will only allow users with a physical card present to go through with payment. It’s extremely rare to have a tool that both improves customer experience and improves security - but an accurate card scanner accomplishes this. In addition to being a powerful tool for fraud prevention, DyScan also provides a nontrivial conversion boost at checkout by reducing time and effort required to enter payment information (under 5 seconds for DyScan, compared to 21 seconds for manual entry). DyScan is also the only card scanner SDK that works on all credit card formats, including non-embossed numbers, numbers on the back, vertical cards, and Quick-Read format cards (those are the weird ones you may have seen around with a four-digit groups stacked on top of each other). Card.io, which is the card scanner experience you may have seen in other apps, works on only one credit card format (embossed numbers on the front of the card). Other card scanners aren't great because they were constrained technologically at the time they were built. Due to PCI compliance, credit cards must be scanned on device, and it hasn’t been possible to get a good deep learning model small enough to do this until very recently (due to more neural net processing power on devices and better tooling). The additional benefit of this approach is that it means zero latency, which can make a huge difference in terms of user experience and user friction. How it works: After an app integrates DyScan into its checkout process, their users can enter payment information by holding a credit card up to a smartphone camera. At the same time, DyScan verifies that the card is real and non-fraudulent. This results in more good transactions while bad transactions are blocked. We’ve been working hard on DyScan for the past few months and are very excited to share it with the HN community and get your insights on what we’re building. Thanks for reading! Julia & Lena
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Show HN: RoadGoat – Map Where You've Been. Import from Social, Wearables, & More
3 by kuroshhashemi | 0 comments on Hacker News.
3 by kuroshhashemi | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Send keys and certs from the terminal with e2e encryption
2 by paulfurley | 1 comments on Hacker News.
2 by paulfurley | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Playstore ready PWA app in one click - PWA2APK
3 by saleeh | 0 comments on Hacker News.
Last week we saw a post on HN, mentioning Google Playstore now accepts PWA apps. We thought this could be automated, so non-devs can easily create and upload APK’s of their PWAs. Hence we decided to make a simple tool to ease up the process. Thus PWA2APK( http://bit.ly/2GmQTHi ) was born. It converts Progressive Web Apps (PWAs) to Playstore ready APKs. This was build on top of TWA (Trusted Web Activities), which is available in Chrome version 72 and above. A few days before we shared it on Twitter and got tons of feedback. Many even used PWA2APK to upload their PWA’s to Playstore. After getting feedback, we included source code and certificate, than just the APK file. And finally launching here to get feedback and suggestions for the tool, that we build over the weekend.
3 by saleeh | 0 comments on Hacker News.
Last week we saw a post on HN, mentioning Google Playstore now accepts PWA apps. We thought this could be automated, so non-devs can easily create and upload APK’s of their PWAs. Hence we decided to make a simple tool to ease up the process. Thus PWA2APK( http://bit.ly/2GmQTHi ) was born. It converts Progressive Web Apps (PWAs) to Playstore ready APKs. This was build on top of TWA (Trusted Web Activities), which is available in Chrome version 72 and above. A few days before we shared it on Twitter and got tons of feedback. Many even used PWA2APK to upload their PWA’s to Playstore. After getting feedback, we included source code and certificate, than just the APK file. And finally launching here to get feedback and suggestions for the tool, that we build over the weekend.
New Show Hacker News story: latest news
Show HN: go-doh-client, a DNS over HTTPS client implementation written in Go
2 by babolivier | 0 comments on Hacker News.
2 by babolivier | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Pino – Open source web app for membership management
3 by Risse | 0 comments on Hacker News.
3 by Risse | 0 comments on Hacker News.
Monday, 11 February 2019
New Show Hacker News story: latest news
Show HN: Server Hunter – Easily browse over 11,000 VPS and Dedicated Servers
2 by ServerHunter | 1 comments on Hacker News.
2 by ServerHunter | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Synesthesia – Optimizing BrainF**k Compiler Implemented as Nim Macros
3 by jeff_ciesielski | 1 comments on Hacker News.
3 by jeff_ciesielski | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: MIDI CITY 2000 - Art experiment where MIDI songs become cities
2 by feross | 1 comments on Hacker News.
2 by feross | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Play Connect 4 against the other half of the internet
3 by phoboslab | 0 comments on Hacker News.
3 by phoboslab | 0 comments on Hacker News.
New Show Hacker News story: latest news
Launch HN: Aura Vision (YC W19) – Google Analytics for Physical Stores
2 by jblok | 0 comments on Hacker News.
We're Daniel, Jaime, and Jonathon - the founders of Aura Vision. ( https://auravision.ai ) Aura Vision is like Google Analytics for physical retail stores. Our mission is to ensure that physical retailers can innovate and improve their stores with data, in the same way their eCommerce counterparts do, while protecting customer privacy. Retail teams often know very little about what shoppers do in-store leading up to a purchase. To try to increase sales, they change layouts, products, and media in their shops based on anecdotal knowledge, and experience. That’s because it’s hard to get good quality data about what consumers actually do in their stores at the moment. Many retailers periodically place people in doorways with clipboards recording shopper demographics and behaviours, which of course is costly and not very scalable. We use existing security cameras in stores to detect the demographics (age, gender, staff/customer) and behaviour of all visitors using our proprietary computer vision technology. This creates an anonymised feed of aggregated data for the retailer, giving them new tools to improve their stores. E.g. - To increase footfall, retailers can A/B test window displays, selecting the one with the highest peel off rate (the ratio of entries to people walking by) - To uncover why a product is underselling, retailers can learn about the movement and dwell times of different demographics around products. - To increase sales, they can select products that are suited to the demographics in that store. - To increase conversion rates, retailers can identify where customers spend most of their time in-store and locate staff accordingly. We started out in the UK during the birth of GDPR, so we’re acutely aware of the need to protect customer privacy. Video is deleted as part of the processing, and never stored thereafter, and our system never identifies people, nor stores identities. All data is aggregated into 15 minute chunks, which fully anonymises the counts, so you are left with information on the behaviours that the camera observed in that period. Those chunks are supplied back to the retailer through our dashboard and API as heatmaps and counts. We don’t rely on facial recognition, instead taking in visual cues from all features across the body. In contrast many other retail tracking solutions, like Bluetooth and WiFi, aren’t GDPR compliant as they store MAC addresses, or other phone IDs without consent, which count as personal data. This means they can re-identify you when you come back to the store, or another store on their network. While regulation will do a good job at getting rid of these tracking solutions, we want to help by showing retailers there’s an option that gives them more useful data anyway. Daniel and Jaime studied under the same supervisor at the University of Southampton during their computer vision PhDs. They saw plenty of opportunities for using deep learning in people tracking. A key part of Daniel's PhD was estimating people's demographics from CCTV footage and this led to the end result we are running now. Myself and Daniel went to primary school together, and my background is in APIs and frontends. Thanks for reading! We know the HN community has many people interested and knowledgeable in computer vision and deep learning, so we're looking forward to hearing your thoughts. If you or someone you know has experienced similar challenges in retail, please reach out! jonathon@auravision.ai
2 by jblok | 0 comments on Hacker News.
We're Daniel, Jaime, and Jonathon - the founders of Aura Vision. ( https://auravision.ai ) Aura Vision is like Google Analytics for physical retail stores. Our mission is to ensure that physical retailers can innovate and improve their stores with data, in the same way their eCommerce counterparts do, while protecting customer privacy. Retail teams often know very little about what shoppers do in-store leading up to a purchase. To try to increase sales, they change layouts, products, and media in their shops based on anecdotal knowledge, and experience. That’s because it’s hard to get good quality data about what consumers actually do in their stores at the moment. Many retailers periodically place people in doorways with clipboards recording shopper demographics and behaviours, which of course is costly and not very scalable. We use existing security cameras in stores to detect the demographics (age, gender, staff/customer) and behaviour of all visitors using our proprietary computer vision technology. This creates an anonymised feed of aggregated data for the retailer, giving them new tools to improve their stores. E.g. - To increase footfall, retailers can A/B test window displays, selecting the one with the highest peel off rate (the ratio of entries to people walking by) - To uncover why a product is underselling, retailers can learn about the movement and dwell times of different demographics around products. - To increase sales, they can select products that are suited to the demographics in that store. - To increase conversion rates, retailers can identify where customers spend most of their time in-store and locate staff accordingly. We started out in the UK during the birth of GDPR, so we’re acutely aware of the need to protect customer privacy. Video is deleted as part of the processing, and never stored thereafter, and our system never identifies people, nor stores identities. All data is aggregated into 15 minute chunks, which fully anonymises the counts, so you are left with information on the behaviours that the camera observed in that period. Those chunks are supplied back to the retailer through our dashboard and API as heatmaps and counts. We don’t rely on facial recognition, instead taking in visual cues from all features across the body. In contrast many other retail tracking solutions, like Bluetooth and WiFi, aren’t GDPR compliant as they store MAC addresses, or other phone IDs without consent, which count as personal data. This means they can re-identify you when you come back to the store, or another store on their network. While regulation will do a good job at getting rid of these tracking solutions, we want to help by showing retailers there’s an option that gives them more useful data anyway. Daniel and Jaime studied under the same supervisor at the University of Southampton during their computer vision PhDs. They saw plenty of opportunities for using deep learning in people tracking. A key part of Daniel's PhD was estimating people's demographics from CCTV footage and this led to the end result we are running now. Myself and Daniel went to primary school together, and my background is in APIs and frontends. Thanks for reading! We know the HN community has many people interested and knowledgeable in computer vision and deep learning, so we're looking forward to hearing your thoughts. If you or someone you know has experienced similar challenges in retail, please reach out! jonathon@auravision.ai
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Show HN: Buttr – Creative, customizable site templates and assets
2 by buttrxyz | 0 comments on Hacker News.
2 by buttrxyz | 0 comments on Hacker News.
Sunday, 10 February 2019
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Learn C and its lower levels interactively, in the browser
116 by vasyop | 16 comments on Hacker News.
I made a simple virtual machine that runs C in the browser.This project is made as an experiment to see if C can be learned easier if the lower level is covered in paralel. Sandbox: http://bit.ly/2Gz9oHR Tutorial part 1: http://bit.ly/2E49shf More info: http://bit.ly/2GAdMqe Please support this project: http://bit.ly/2E17JJB
116 by vasyop | 16 comments on Hacker News.
I made a simple virtual machine that runs C in the browser.This project is made as an experiment to see if C can be learned easier if the lower level is covered in paralel. Sandbox: http://bit.ly/2Gz9oHR Tutorial part 1: http://bit.ly/2E49shf More info: http://bit.ly/2GAdMqe Please support this project: http://bit.ly/2E17JJB
Saturday, 9 February 2019
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Show HN: Real-Time Spatial Authoring in Augmented Reality
2 by ledell61bar | 0 comments on Hacker News.
2 by ledell61bar | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Collection of Go examples for beginner back end developers
4 by cephaslr | 0 comments on Hacker News.
4 by cephaslr | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Karaoke for Piano Overlaid and Synched with YouTube Videos
2 by robbrown451 | 0 comments on Hacker News.
2 by robbrown451 | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: UX Screenshots – Free library of mobile app user flows screenshots
3 by nguyenpqv | 0 comments on Hacker News.
3 by nguyenpqv | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: LifeHQ – My Complete Achievement and Productivity System
3 by DarkoKolev | 0 comments on Hacker News.
3 by DarkoKolev | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Get your wind-wave-tide forecasts by clicking on worlwide map
2 by igetwind | 1 comments on Hacker News.
2 by igetwind | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: AR hand puppets and more from 2D/3D feature point extraction CNNs
2 by hwoolery | 0 comments on Hacker News.
2 by hwoolery | 0 comments on Hacker News.
Friday, 8 February 2019
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Show HN: I just put a dev environment on my phone via Termux
4 by fabiospampinato | 0 comments on Hacker News.
4 by fabiospampinato | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Find tech jobs that make a positive impact in the world
2 by jppotess | 0 comments on Hacker News.
2 by jppotess | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Relayed encrypted signalling for P2P WebRTC calls
2 by jvanveen | 0 comments on Hacker News.
2 by jvanveen | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: A new app to read and react to news with your friends
3 by popnews | 0 comments on Hacker News.
3 by popnews | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Nevod is easier and hundred times faster than RegExp
2 by ychetyrko | 0 comments on Hacker News.
2 by ychetyrko | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Honest Valentine’s Day cards – written by therapists
2 by willyams | 0 comments on Hacker News.
2 by willyams | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Packagr.app – a cloud hosted PyPI server for Python developers
2 by chris140957 | 0 comments on Hacker News.
Hi, I recently launched Packagr.app - a simple cloud hosted private PIP index which Python developers can use to store and deploy private Python packages: https://www.packagr.app Packagr provides a convenient alternative to open source solutions such as pypiserver and devpi-server and takes care of hosting, authentication and package sharing out of the box Thanks for looking, Chris
2 by chris140957 | 0 comments on Hacker News.
Hi, I recently launched Packagr.app - a simple cloud hosted private PIP index which Python developers can use to store and deploy private Python packages: https://www.packagr.app Packagr provides a convenient alternative to open source solutions such as pypiserver and devpi-server and takes care of hosting, authentication and package sharing out of the box Thanks for looking, Chris
Thursday, 7 February 2019
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