Show HN: Sizle.io – React Presentation Builder
2 by sizleio | 0 comments on Hacker News.
Friday, 31 July 2020
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Show HN: OpenAI Circus – Easy sharing of GPT-3 results and presets
2 by gsundeep | 0 comments on Hacker News.
2 by gsundeep | 0 comments on Hacker News.
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Show HN: I’m in high school and I just finished the first draft of my website
3 by imladenov | 1 comments on Hacker News.
3 by imladenov | 1 comments on Hacker News.
Thursday, 30 July 2020
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Show HN: A Free Gatsby.js/Tailwind Theme for Business Websites
2 by taphangum | 1 comments on Hacker News.
2 by taphangum | 1 comments on Hacker News.
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Show HN: Deck for Reddit – A Reddit client optimized for desktop
2 by snwfog | 0 comments on Hacker News.
2 by snwfog | 0 comments on Hacker News.
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Show HN: Send Bitcoin and Ethereum by Email. To Anyone. From Any Wallet
3 by chainsfr_com | 1 comments on Hacker News.
3 by chainsfr_com | 1 comments on Hacker News.
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Show HN: UPUP Simple Credit Card Verification to Reduce Fraud
7 by cglace | 1 comments on Hacker News.
7 by cglace | 1 comments on Hacker News.
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Show HN: HMNI – Fuzzy Name Matching Library (NLP/Machine Learning)
2 by thorntonc | 1 comments on Hacker News.
2 by thorntonc | 1 comments on Hacker News.
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Launch HN: BaseDash (YC S20) – Edit your database with the ease of a spreadsheet
5 by maxmusing | 0 comments on Hacker News.
Hey everyone! I'm Max from BaseDash ( https://www.basedash.io ). BaseDash is an internal tool that lets you edit your production database with the ease of a spreadsheet. It's like being able to use Airtable to manage your company's internal operations. I was working on a side project a few years ago that required a lot of manual data management. I was using Django Admin which was fine, but wished I could just set up a two-way sync between my SQL database and Airtable (without any crazy Zapier workflows). After building a quick prototype as an internal tool, I realized that there was a space missing for a product somewhere between an admin panel and a database client. Something with an amazing interface that's usable by both engineers and non-technical users who need to access data within their company (e.g. customer support, operations). From there, I built BaseDash with a strong focus on expanding upon existing tools I love, with extra care and polish. The resulting product is a polished, opinionated internal tool, with all the functionality most companies need out-of-the-box. Being a web app, there are some great features that BaseDash enables for cross-functional teams. BaseDash keeps a full edit history of all changes made, makes it super easy to share access to teammates, and enables Google Sheets-like real-time collaboration for editing data. We currently support most SQL databases (PostgreSQL, MySQL, Redshift, SQL Server, MariaDB), with support for MongoDB and Firestore on the roadmap. We offer a hosted version, or you can host it yourself on-prem. We're still in early access but happy to invite the Hacker News community to try the product out. We're currently focused on small-to-medium sized software companies, with a combination of engineers and non-technical users. Try it here: https://www.basedash.io and let me know what you think!
5 by maxmusing | 0 comments on Hacker News.
Hey everyone! I'm Max from BaseDash ( https://www.basedash.io ). BaseDash is an internal tool that lets you edit your production database with the ease of a spreadsheet. It's like being able to use Airtable to manage your company's internal operations. I was working on a side project a few years ago that required a lot of manual data management. I was using Django Admin which was fine, but wished I could just set up a two-way sync between my SQL database and Airtable (without any crazy Zapier workflows). After building a quick prototype as an internal tool, I realized that there was a space missing for a product somewhere between an admin panel and a database client. Something with an amazing interface that's usable by both engineers and non-technical users who need to access data within their company (e.g. customer support, operations). From there, I built BaseDash with a strong focus on expanding upon existing tools I love, with extra care and polish. The resulting product is a polished, opinionated internal tool, with all the functionality most companies need out-of-the-box. Being a web app, there are some great features that BaseDash enables for cross-functional teams. BaseDash keeps a full edit history of all changes made, makes it super easy to share access to teammates, and enables Google Sheets-like real-time collaboration for editing data. We currently support most SQL databases (PostgreSQL, MySQL, Redshift, SQL Server, MariaDB), with support for MongoDB and Firestore on the roadmap. We offer a hosted version, or you can host it yourself on-prem. We're still in early access but happy to invite the Hacker News community to try the product out. We're currently focused on small-to-medium sized software companies, with a combination of engineers and non-technical users. Try it here: https://www.basedash.io and let me know what you think!
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Show HN: Time-series weather data API for data analysts
2 by a_square_peg | 0 comments on Hacker News.
2 by a_square_peg | 0 comments on Hacker News.
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Show HN: A Slack Clone Using Postgres Row Level Security
2 by kiwicopple | 1 comments on Hacker News.
2 by kiwicopple | 1 comments on Hacker News.
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Show HN: Search for ingredients to pair with other ingredients
2 by _nate_ | 0 comments on Hacker News.
2 by _nate_ | 0 comments on Hacker News.
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Show HN: Moufette – an open-source tool to capture users feedback
3 by jamalx31 | 0 comments on Hacker News.
3 by jamalx31 | 0 comments on Hacker News.
Wednesday, 29 July 2020
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Show HN: Data-driven newsletter of links in other newsletters
3 by codenberg | 0 comments on Hacker News.
3 by codenberg | 0 comments on Hacker News.
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Show HN: Cloudboost.io – open-source BaaS platform just like Firebase
2 by valeria_m23 | 0 comments on Hacker News.
2 by valeria_m23 | 0 comments on Hacker News.
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Show HN: I've built a Serverless search feature for my blog
2 by gunnarmorling | 0 comments on Hacker News.
2 by gunnarmorling | 0 comments on Hacker News.
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Launch HN: Humanloop (YC S20) – A platform to annotate, train and deploy NLP
10 by jordn | 1 comments on Hacker News.
Hey HN. We’re Peter, Raza and Jordan of Humanloop ( https://humanloop.com ) and we’re building a low code platform to annotate data, rapidly train and then deploy Natural Language Processing (NLP) models. We use active learning research to make this possible with 5-10x less labelled data. We’ve worked on large machine learning products in industry (Alexa, text-to-speech systems at Google and in insurance modelling) and seen first-hand the huge efforts required to get these systems trained, deployed and working well in production. Despite huge progress in pretrained models (BERT, GPT-3), one of the biggest bottlenecks remains getting enough _good quality_ labelled data. Unlike annotations for driverless cars, the data that’s being annotated for NLP often requires domain expertise that’s hard to outsource. We’ve spoken to teams using NLP for medical chat bots, legal contract analysis, cyber security monitoring and customer service, and it’s not uncommon to find teams of lawyers or doctors doing text labelling tasks. This is an expensive barrier to building and deploying NLP. We aim to solve this problem by providing a text annotation platform that trains a model as your team annotates. Coupling data annotation and model training has a number of benefits: 1) we can use the model to select the most valuable data to annotate next – this “active learning” loop can often reduce data requirements by 10x 2) a tight iteration cycle between annotation and training lets you pick up on errors much sooner and correct annotation guidelines 3) as soon as you’ve finished the annotation cycle you have a trained model ready to be deployed. Active learning is far from a new idea, but getting it to work well in practice is surprisingly challenging, especially for deep learning. Simple approaches use the ML models’ predictive uncertainty (the entropy of the softmax) to select what data to label... but in practice this often selects genuinely ambiguous or “noisy” data that both annotators and models have a hard time handling. From a usability perspective, the process needs to be cognizant of the annotation effort, and the models need to quickly update with new labelled data, otherwise it’s too frustrating to have a human-in-the-loop training session. Our approach uses Bayesian deep learning to tackle these issues. Raza and Peter have worked on this in their PhDs at University College London alongside fellow cofounders David and Emine [1, 2]. With Bayesian deep learning, we’re incorporating uncertainty in the parameters of the models themselves, rather than just finding the best model. This can be used to find the data where the model is uncertain, not just where the data is noisy. And we use a rapid approximate Bayesian update to give quick feedback from small amounts of data [3]. An upside of this is that the models have well-calibrated uncertainty estimates -- to know when they don’t know -- and we’re exploring how this could be used in production settings for a human-in-the-loop fallback. Since starting we’ve been working with data science teams at two large law firms to help build out an internal platform for cyber threat monitoring and data extraction. We’re now opening up the platform to train text classifiers and span-tagging models quickly and deploy them to the cloud. A common use case is for classifying support tickets or chatbot intents. We came together to work on this because we kept seeing data as the bottleneck for the deployment of ML and were inspired by ideas like Andrej Karpathy’s software 2.0 [4]. We anticipate a future in which the barriers to ML deployment become sufficiently lowered that domain experts are able to automate tasks for themselves through machine teaching and we view data annotation tools as a first step along this path. Thanks for reading. We love HN and we’re looking forward to any feedback, ideas or questions you may have. [1] https://ift.tt/3hK2xus – a scalable approach to estimates uncertainty in deep learning models [2] https://ift.tt/39FoLLa work to combine uncertainty together with representativeness when selecting examples for active learning. [3] https://ift.tt/39B0GFo – a simple Bayesian approach to learn from few data [4] https://ift.tt/2hsOCzx
10 by jordn | 1 comments on Hacker News.
Hey HN. We’re Peter, Raza and Jordan of Humanloop ( https://humanloop.com ) and we’re building a low code platform to annotate data, rapidly train and then deploy Natural Language Processing (NLP) models. We use active learning research to make this possible with 5-10x less labelled data. We’ve worked on large machine learning products in industry (Alexa, text-to-speech systems at Google and in insurance modelling) and seen first-hand the huge efforts required to get these systems trained, deployed and working well in production. Despite huge progress in pretrained models (BERT, GPT-3), one of the biggest bottlenecks remains getting enough _good quality_ labelled data. Unlike annotations for driverless cars, the data that’s being annotated for NLP often requires domain expertise that’s hard to outsource. We’ve spoken to teams using NLP for medical chat bots, legal contract analysis, cyber security monitoring and customer service, and it’s not uncommon to find teams of lawyers or doctors doing text labelling tasks. This is an expensive barrier to building and deploying NLP. We aim to solve this problem by providing a text annotation platform that trains a model as your team annotates. Coupling data annotation and model training has a number of benefits: 1) we can use the model to select the most valuable data to annotate next – this “active learning” loop can often reduce data requirements by 10x 2) a tight iteration cycle between annotation and training lets you pick up on errors much sooner and correct annotation guidelines 3) as soon as you’ve finished the annotation cycle you have a trained model ready to be deployed. Active learning is far from a new idea, but getting it to work well in practice is surprisingly challenging, especially for deep learning. Simple approaches use the ML models’ predictive uncertainty (the entropy of the softmax) to select what data to label... but in practice this often selects genuinely ambiguous or “noisy” data that both annotators and models have a hard time handling. From a usability perspective, the process needs to be cognizant of the annotation effort, and the models need to quickly update with new labelled data, otherwise it’s too frustrating to have a human-in-the-loop training session. Our approach uses Bayesian deep learning to tackle these issues. Raza and Peter have worked on this in their PhDs at University College London alongside fellow cofounders David and Emine [1, 2]. With Bayesian deep learning, we’re incorporating uncertainty in the parameters of the models themselves, rather than just finding the best model. This can be used to find the data where the model is uncertain, not just where the data is noisy. And we use a rapid approximate Bayesian update to give quick feedback from small amounts of data [3]. An upside of this is that the models have well-calibrated uncertainty estimates -- to know when they don’t know -- and we’re exploring how this could be used in production settings for a human-in-the-loop fallback. Since starting we’ve been working with data science teams at two large law firms to help build out an internal platform for cyber threat monitoring and data extraction. We’re now opening up the platform to train text classifiers and span-tagging models quickly and deploy them to the cloud. A common use case is for classifying support tickets or chatbot intents. We came together to work on this because we kept seeing data as the bottleneck for the deployment of ML and were inspired by ideas like Andrej Karpathy’s software 2.0 [4]. We anticipate a future in which the barriers to ML deployment become sufficiently lowered that domain experts are able to automate tasks for themselves through machine teaching and we view data annotation tools as a first step along this path. Thanks for reading. We love HN and we’re looking forward to any feedback, ideas or questions you may have. [1] https://ift.tt/3hK2xus – a scalable approach to estimates uncertainty in deep learning models [2] https://ift.tt/39FoLLa work to combine uncertainty together with representativeness when selecting examples for active learning. [3] https://ift.tt/39B0GFo – a simple Bayesian approach to learn from few data [4] https://ift.tt/2hsOCzx
New Show Hacker News story: latest news
Show HN: Fyipe – Status Page, PagerDuty, Pingdom All in One
2 by valeria_m23 | 0 comments on Hacker News.
2 by valeria_m23 | 0 comments on Hacker News.
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Show HN: Daily Summary of Hacker News Posts and Comments
3 by gunargessner | 0 comments on Hacker News.
3 by gunargessner | 0 comments on Hacker News.
Tuesday, 28 July 2020
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Show HN: Form Capital, a seed fund offering design sprints with each investment
2 by bobbygoodlatte | 0 comments on Hacker News.
2 by bobbygoodlatte | 0 comments on Hacker News.
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Show HN: Tired of reading NerdWallet to see the best credit card? I automated it
6 by saurabhsharan | 0 comments on Hacker News.
6 by saurabhsharan | 0 comments on Hacker News.
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Launch HN: QuestDB (YC S20) – Fast open source time series database
42 by bluestreak | 16 comments on Hacker News.
Hey everyone, I’m Vlad and I co-founded QuestDB ( https://questdb.io ) with Nic and Tanc. QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance ( https://ift.tt/2DmHzQo ). It started in 2012 when an energy trading company hired me to rebuild their real-time vessel tracking system. Management wanted me to use a well-known XML database that they had just bought a license for. This option would have required to take down production for about a week just to ingest the data. And a week downtime was not an option. With no more money to spend on software, I turned to alternatives such as OpenTSDB but they were not a fit for our data model. There was no solution in sight to deliver the project. Then, I stumbled upon Peter Lawrey’s Java Chronicle library [1]. It loaded the same data in 2 minutes instead of a week using memory-mapped files. Besides the performance aspect, I found it fascinating that such a simple method was solving multiple issues simultaneously: fast write, read can happen even before data is committed to disk, code interacts with memory rather than IO functions, no buffers to copy. Incidentally, this was my first exposure to zero-GC Java. But there were several issues. First, at the time It didn’t look like the library was going to be maintained. Second, it used Java NIO instead of using the OS API directly. This adds overhead since it creates individual objects with sole purpose to hold a memory address for each memory page. Third, although the NIO allocation API was well documented, the release API was not. It was really easy to run out of memory and hard to manage memory page release. I decided to ditch the XML DB and then started to write a custom storage engine in Java, similar to what Java Chronicle did. This engine used memory mapped files, off-heap memory and a custom query system for geospatial time series. Implementing this was a refreshing experience. I learned more in a few weeks than in years on the job. Throughout my career, I mostly worked at large companies where developers are “managed” via itemized tasks sent as tickets. There was no room for creativity or initiative. In fact, it was in one’s best interest to follow the ticket's exact instructions, even if it was complete nonsense. I had just been promoted to a managerial role and regretted it after a week. After so much time hoping for a promotion, I immediately wanted to go back to the technical side. I became obsessed with learning new stuff again, particularly in the high performance space. With some money aside, I left my job and started to work on QuestDB solo. I used Java and a small C layer to interact directly with the OS API without passing through a selector API. Although existing OS API wrappers would have been easier to get started with, the overhead increases complexity and hurts performance. I also wanted the system to be completely GC-free. To do this, I had to build off-heap memory management myself and I could not use off-the-shelf libraries. I had to rewrite many of the standard ones over the years to avoid producing any garbage. As I had my first kid, I had to take contracting gigs to make ends meet over the following 6 years. All the stuff I had been learning boosted my confidence and I started performing well at interviews. This allowed me to get better paying contracts, I could take fewer jobs and free up more time to work on QuestDB while looking after my family. I would do research during the day and implement this into QuestDB at night. I was constantly looking for the next thing, which would take performance closer to the limits of the hardware. A year in, I realised that my initial design was actually flawed and that it had to be thrown away. It had no concept of separation between readers and writers and would thus allow dirty reads. Storage was not guaranteed to be contiguous, and pages could be of various non-64-bit-divisible sizes. It was also very much cache-unfriendly, forcing the use of slow row-based reads instead of fast columnar and vectorized ones.Commits were slow, and as individual column files could be committed independently, they left the data open to corruption. Although this was a setback, I got back to work. I wrote the new engine to allow atomic and durable multi-column commits, provide repeatable read isolation, and for commits to be instantaneous. To do this, I separated transaction files from the data files. This made it possible to commit multiple columns simultaneously as a simple update of the last committed row id. I also made storage dense by removing overlapping memory pages and writing data byte by byte over page edges. This new approach improved query performance. It made it easy to split data across worker threads and to optimise the CPU pipeline with prefetch. It unlocked column-based execution and additional virtual parallelism with SIMD instruction sets [2] thanks to Agner Fog’s Vector Class Library [3]. It made it possible to implement more recent innovations like our own version of Google SwissTable [4]. I published more details when we released a demo server a few weeks ago on ShowHN [5]. This demo is still available to try online with a pre-loaded dataset of 1.6 billion rows [6]. Although it was hard and discouraging at first, this rewrite turned out to be the second best thing that happened to QuestDB. The best thing was that people started to contribute to the project. I am really humbled that Tanc and Nic left our previous employer to build QuestDB. A few months later, former colleagues of mine left their stable low-latency jobs at banks to join us. I take this as a huge responsibility and I don’t want to let these guys down. The amount of work ahead gives me headaches and goosebumps at the same time. QuestDB is deployed in production, including into a large fintech company. We’ve been focusing on building a community to get our first users and gather as much feedback as possible. Thank you for reading this story - I hope it was interesting. I would love to read your feedback on QuestDB and to answer questions. [1] https://ift.tt/11g71v6 [2] https://ift.tt/39KJE6k [3] https://ift.tt/2CUWTH9 [4] https://ift.tt/30TsPDL... [5] https://ift.tt/37TmfQV [6] https://ift.tt/2EiOfCz
42 by bluestreak | 16 comments on Hacker News.
Hey everyone, I’m Vlad and I co-founded QuestDB ( https://questdb.io ) with Nic and Tanc. QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance ( https://ift.tt/2DmHzQo ). It started in 2012 when an energy trading company hired me to rebuild their real-time vessel tracking system. Management wanted me to use a well-known XML database that they had just bought a license for. This option would have required to take down production for about a week just to ingest the data. And a week downtime was not an option. With no more money to spend on software, I turned to alternatives such as OpenTSDB but they were not a fit for our data model. There was no solution in sight to deliver the project. Then, I stumbled upon Peter Lawrey’s Java Chronicle library [1]. It loaded the same data in 2 minutes instead of a week using memory-mapped files. Besides the performance aspect, I found it fascinating that such a simple method was solving multiple issues simultaneously: fast write, read can happen even before data is committed to disk, code interacts with memory rather than IO functions, no buffers to copy. Incidentally, this was my first exposure to zero-GC Java. But there were several issues. First, at the time It didn’t look like the library was going to be maintained. Second, it used Java NIO instead of using the OS API directly. This adds overhead since it creates individual objects with sole purpose to hold a memory address for each memory page. Third, although the NIO allocation API was well documented, the release API was not. It was really easy to run out of memory and hard to manage memory page release. I decided to ditch the XML DB and then started to write a custom storage engine in Java, similar to what Java Chronicle did. This engine used memory mapped files, off-heap memory and a custom query system for geospatial time series. Implementing this was a refreshing experience. I learned more in a few weeks than in years on the job. Throughout my career, I mostly worked at large companies where developers are “managed” via itemized tasks sent as tickets. There was no room for creativity or initiative. In fact, it was in one’s best interest to follow the ticket's exact instructions, even if it was complete nonsense. I had just been promoted to a managerial role and regretted it after a week. After so much time hoping for a promotion, I immediately wanted to go back to the technical side. I became obsessed with learning new stuff again, particularly in the high performance space. With some money aside, I left my job and started to work on QuestDB solo. I used Java and a small C layer to interact directly with the OS API without passing through a selector API. Although existing OS API wrappers would have been easier to get started with, the overhead increases complexity and hurts performance. I also wanted the system to be completely GC-free. To do this, I had to build off-heap memory management myself and I could not use off-the-shelf libraries. I had to rewrite many of the standard ones over the years to avoid producing any garbage. As I had my first kid, I had to take contracting gigs to make ends meet over the following 6 years. All the stuff I had been learning boosted my confidence and I started performing well at interviews. This allowed me to get better paying contracts, I could take fewer jobs and free up more time to work on QuestDB while looking after my family. I would do research during the day and implement this into QuestDB at night. I was constantly looking for the next thing, which would take performance closer to the limits of the hardware. A year in, I realised that my initial design was actually flawed and that it had to be thrown away. It had no concept of separation between readers and writers and would thus allow dirty reads. Storage was not guaranteed to be contiguous, and pages could be of various non-64-bit-divisible sizes. It was also very much cache-unfriendly, forcing the use of slow row-based reads instead of fast columnar and vectorized ones.Commits were slow, and as individual column files could be committed independently, they left the data open to corruption. Although this was a setback, I got back to work. I wrote the new engine to allow atomic and durable multi-column commits, provide repeatable read isolation, and for commits to be instantaneous. To do this, I separated transaction files from the data files. This made it possible to commit multiple columns simultaneously as a simple update of the last committed row id. I also made storage dense by removing overlapping memory pages and writing data byte by byte over page edges. This new approach improved query performance. It made it easy to split data across worker threads and to optimise the CPU pipeline with prefetch. It unlocked column-based execution and additional virtual parallelism with SIMD instruction sets [2] thanks to Agner Fog’s Vector Class Library [3]. It made it possible to implement more recent innovations like our own version of Google SwissTable [4]. I published more details when we released a demo server a few weeks ago on ShowHN [5]. This demo is still available to try online with a pre-loaded dataset of 1.6 billion rows [6]. Although it was hard and discouraging at first, this rewrite turned out to be the second best thing that happened to QuestDB. The best thing was that people started to contribute to the project. I am really humbled that Tanc and Nic left our previous employer to build QuestDB. A few months later, former colleagues of mine left their stable low-latency jobs at banks to join us. I take this as a huge responsibility and I don’t want to let these guys down. The amount of work ahead gives me headaches and goosebumps at the same time. QuestDB is deployed in production, including into a large fintech company. We’ve been focusing on building a community to get our first users and gather as much feedback as possible. Thank you for reading this story - I hope it was interesting. I would love to read your feedback on QuestDB and to answer questions. [1] https://ift.tt/11g71v6 [2] https://ift.tt/39KJE6k [3] https://ift.tt/2CUWTH9 [4] https://ift.tt/30TsPDL... [5] https://ift.tt/37TmfQV [6] https://ift.tt/2EiOfCz
New Show Hacker News story: latest news
Show HN: I built a free alternative stock data platform
4 by greatwave1 | 1 comments on Hacker News.
4 by greatwave1 | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Twitter bot generates interactive transcript of any audio/video
4 by ashu_trv | 1 comments on Hacker News.
4 by ashu_trv | 1 comments on Hacker News.
Monday, 27 July 2020
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Show HN: A read-it-later app to solve Pocket/Instapaper's endless list problem
2 by rahulchowdhury | 1 comments on Hacker News.
2 by rahulchowdhury | 1 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Routine Ops – Schedule recurring tasks by role
4 by chrisraible | 0 comments on Hacker News.
4 by chrisraible | 0 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Neural text to speech with dozens of celebrity voices
112 by echelon | 61 comments on Hacker News.
112 by echelon | 61 comments on Hacker News.
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Show HN: Actuflow – stop procrastinating using a smartphone
4 by yarsanich | 0 comments on Hacker News.
4 by yarsanich | 0 comments on Hacker News.
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Show HN: I collected 500 python & SQL questions from data science interviews
6 by falco925 | 3 comments on Hacker News.
6 by falco925 | 3 comments on Hacker News.
New Show Hacker News story: latest news
Show HN: Plugin to transform WordPress into a GraphQL server
3 by leoloso | 0 comments on Hacker News.
3 by leoloso | 0 comments on Hacker News.
New Show Hacker News story: latest news
Launch HN: Daybreak Health (YC S20) – Online counseling designed for teens
5 by alexalvarado | 1 comments on Hacker News.
I'm Alex, one of the cofounders of Daybreak Health (www.daybreakhealth.com) along with Luke and Sid. We help teens feel better, build skills for life and achieve their goals through online counseling. Our licensed counselors provide evidence-based counseling to teens through online video sessions, messaging, and a mobile app. The evidence supports that behavioral therapy like CBT and DBT is effective. It works to treat diagnosable conditions like anxiety and depression, and it also works to help young people feel happier and achieve their goals [1][2][3][4][5]. But too often teens don't get the mental health support they need because it is stigmatized, difficult to schedule and attend, and expensive. At Daybreak we bring counseling to the teen on a digital device and we charge less than half the cost of a traditional therapy session. In October of 2018, my younger brother nearly lost his life due to the lack of accessible mental health resources supporting our young people. He is not alone. 1 in 5 teens struggle with a diagnosable mental health condition, but estimates suggest that up to 1 in 3 actually struggle with anxiety - or between 6 and 10M total teens [6][7]. That means the odds are greater than 50% that if you are the average parent raising a family in America with 2 kids, one of your children will struggle with a mental health condition in their teens. To make matters worse, 80% of teens who need mental health support do not receive care today [8]. This results in deteriorating academic performance, increased rates of juvenile crime and substance abuse, and suicide rates that are at an all-time high. Every day, 17 young people commit suicide in the US. It is the #2 cause of death among 15-24 year olds, after accidental injury and ahead of homicide [9]. This isn't a niche problem. Our current system makes mental health support nearly impossible to get for a teen. Stigma makes it hard to admit to yourself you want support, let alone talk about it with your parents. There is a shortage of therapists who specialize in adolescents, making it hard to find a therapist that is close enough to drive to on a weekly basis. Private practice therapy averages more than $200 per session. Even if you could afford to pay, you're going to be met with 2-3 month wait lists. And when you finally do arrive, you sit on an awkward couch in an environment that you may not be comfortable in. That is why an average of 11 years pass between when a teenager first needs mental health support and when they eventually start receiving it in their 20s or even later [10]. That is why we started Daybreak Health. Everything we’ve built is designed intentionally for teens and their parents. Teens can download the Daybreak mobile app and are instantly connected to a live guide (Mon-Fri 7am-7pm) who asks about mental health goals and needs. After a video assessment where we loop in the parent, we create a plan and match teens with a counselor based on goals, needs, interests, hobbies and more. Once matched with a counselor, teens meet with them once a week through a 50-minute video call, and can message them on a daily basis through the app. Our counselors help teens develop emotional life skills and work towards goals in a personalized plan that has thematic focus on teen-specific areas like school, healthy relationships and more. Teens can also meet with small moderated groups of other teens on those same topics. And parents are a core part of the process, starting with the assessment, through planning and regular progress reports. For all of this we charge an $89/week subscription, less than half the price of a single 50-minute session in traditional private practice. Dr. Neha Chaudhary, our lead Clinical Advisor, is a foremost expert on adolescent mental health and co-founder of Stanford's Lab for Mental Health Innovation. Together with her and experts from UCSF we have designed a program for teens grounded in clinical science, while at the same time reimagining the way it is delivered to teens. The core of our clinical program is rooted in evidence-based methods like DBT and CBT, but we have taken these approaches and brought them into an easily digestible online experience. But there is a problem: stigma around mental health stops people from sharing their great experiences with counseling, so its benefit is under-appreciated. If you know any parent or teens who might benefit from counseling, make sure they know about its benefits. And if you have thoughts about how to solve the awareness problem, or any stories you can share that may help us better understand the needs of teens and parents, we would be grateful. Thank you! Sources: [1] https://ift.tt/3jJ2PDz... [2] https://ift.tt/2f8H8j6 [3] https://ift.tt/3hAPpHS... [4] https://ift.tt/3jOa914... [5] https://ift.tt/2WWuabK... [6] https://ift.tt/3jIsJaE [7] https://ift.tt/39Eja8c... [8] https://ift.tt/3jIsJaE [9] https://ift.tt/2pigI1a [10] https://ift.tt/39vjSVf
5 by alexalvarado | 1 comments on Hacker News.
I'm Alex, one of the cofounders of Daybreak Health (www.daybreakhealth.com) along with Luke and Sid. We help teens feel better, build skills for life and achieve their goals through online counseling. Our licensed counselors provide evidence-based counseling to teens through online video sessions, messaging, and a mobile app. The evidence supports that behavioral therapy like CBT and DBT is effective. It works to treat diagnosable conditions like anxiety and depression, and it also works to help young people feel happier and achieve their goals [1][2][3][4][5]. But too often teens don't get the mental health support they need because it is stigmatized, difficult to schedule and attend, and expensive. At Daybreak we bring counseling to the teen on a digital device and we charge less than half the cost of a traditional therapy session. In October of 2018, my younger brother nearly lost his life due to the lack of accessible mental health resources supporting our young people. He is not alone. 1 in 5 teens struggle with a diagnosable mental health condition, but estimates suggest that up to 1 in 3 actually struggle with anxiety - or between 6 and 10M total teens [6][7]. That means the odds are greater than 50% that if you are the average parent raising a family in America with 2 kids, one of your children will struggle with a mental health condition in their teens. To make matters worse, 80% of teens who need mental health support do not receive care today [8]. This results in deteriorating academic performance, increased rates of juvenile crime and substance abuse, and suicide rates that are at an all-time high. Every day, 17 young people commit suicide in the US. It is the #2 cause of death among 15-24 year olds, after accidental injury and ahead of homicide [9]. This isn't a niche problem. Our current system makes mental health support nearly impossible to get for a teen. Stigma makes it hard to admit to yourself you want support, let alone talk about it with your parents. There is a shortage of therapists who specialize in adolescents, making it hard to find a therapist that is close enough to drive to on a weekly basis. Private practice therapy averages more than $200 per session. Even if you could afford to pay, you're going to be met with 2-3 month wait lists. And when you finally do arrive, you sit on an awkward couch in an environment that you may not be comfortable in. That is why an average of 11 years pass between when a teenager first needs mental health support and when they eventually start receiving it in their 20s or even later [10]. That is why we started Daybreak Health. Everything we’ve built is designed intentionally for teens and their parents. Teens can download the Daybreak mobile app and are instantly connected to a live guide (Mon-Fri 7am-7pm) who asks about mental health goals and needs. After a video assessment where we loop in the parent, we create a plan and match teens with a counselor based on goals, needs, interests, hobbies and more. Once matched with a counselor, teens meet with them once a week through a 50-minute video call, and can message them on a daily basis through the app. Our counselors help teens develop emotional life skills and work towards goals in a personalized plan that has thematic focus on teen-specific areas like school, healthy relationships and more. Teens can also meet with small moderated groups of other teens on those same topics. And parents are a core part of the process, starting with the assessment, through planning and regular progress reports. For all of this we charge an $89/week subscription, less than half the price of a single 50-minute session in traditional private practice. Dr. Neha Chaudhary, our lead Clinical Advisor, is a foremost expert on adolescent mental health and co-founder of Stanford's Lab for Mental Health Innovation. Together with her and experts from UCSF we have designed a program for teens grounded in clinical science, while at the same time reimagining the way it is delivered to teens. The core of our clinical program is rooted in evidence-based methods like DBT and CBT, but we have taken these approaches and brought them into an easily digestible online experience. But there is a problem: stigma around mental health stops people from sharing their great experiences with counseling, so its benefit is under-appreciated. If you know any parent or teens who might benefit from counseling, make sure they know about its benefits. And if you have thoughts about how to solve the awareness problem, or any stories you can share that may help us better understand the needs of teens and parents, we would be grateful. Thank you! Sources: [1] https://ift.tt/3jJ2PDz... [2] https://ift.tt/2f8H8j6 [3] https://ift.tt/3hAPpHS... [4] https://ift.tt/3jOa914... [5] https://ift.tt/2WWuabK... [6] https://ift.tt/3jIsJaE [7] https://ift.tt/39Eja8c... [8] https://ift.tt/3jIsJaE [9] https://ift.tt/2pigI1a [10] https://ift.tt/39vjSVf
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Launch HN: Reploy (YC S20) – Instant fullstack staging environments for web apps
7 by podoman | 0 comments on Hacker News.
Hello Hacker News! We're Jay and Himank from Reploy ( https://getreploy.com ). We're building a platform that allows teams to easily configure full-stack staging environments or "previews" of their web app which are created on every open PR. In the past, Himank and I spent time at several startups (~10->200 employees), where we were on customer-facing, product-oriented teams. We often found ourselves in positions where we wanted to share our environment with designer/PM/sales folks who didn't necessarily have a dev environment setup, and ngrok didn't cut it. Further, even when trying to share our environment with fellow engineers, there was always a slow down when requiring that they git stash, git pull, etc.. The solution to these pain points was either: 1) Waiting for a full staging or production deployment, which in most cases, wasn't really practical (from a cost and/or time perspective). 2) Using a static site hosting solution (Vercel, Netlify, etc..) which didn't allow us to preview full-stack changes. At some of these companies, an infra team had tried to build something like this, however, the "preview" workflow was very different than the "production" workflow, so there were annoyances (slow builds, lack of concurrent env support, no populating staging data etc..) that made the tool hard to use. This is where Reploy comes in! Especially in the current remote landscape, being able to have as many staging environments as features is helping teams move faster by simplifying and streamlining the feature development flow. We've put a lot of time into making this dead simple to set up. Just connect your repo, give us the commands that you run on your dev machine, and we'll spit out a live environment on a managed link. All of this configuration can be described in the `reploy.yml` file, which is essentially a simpler version of docker-compose :). And if you already have a docker-compose file, we can use that as well :). Take a look at a demo on our site! ( https://getreploy.com ). How does it work you may ask? The short answer is k8s. We schedule these environments on Kubernetes, however, we hide this from end-users so that all that they're interacting with is the Reploy configuration (just a series of commands to start up your web app). We've also curated a bunch of "runtimes" which contain common framework dependencies (reactjs, node, rails, etc..) so that if you don't want to worry about docker, you don't have to :) . And for the hardcore folks out there, we also support custom images. A few notable features that Reploy offers (specific to the aforementioned "staging" workflow): 1) Caching of specific directories (node_modules, .bundle, etc..) -> faster builds 2) Restarts of past environments -> Let's you compare the state of different commits 3) Notifications! -> We'll notify your team when a new environment is ready or failed the build process via slack, email, etc.. 4) A "setup" hook where your team can populate a database with staging data, or configure the host environment to your liking. From a pricing angle, we're looking to charge like most CI providers. That is, we'll charge a base price per engineer/user (~$30) and prorate any additional usage over a max number of concurrent environments. On that note, we've realized that pricing for Reploy is a very interesting problem, as the types of users that are creating environments (engineers, devops teams, etc..) are not necessarily the only users getting value out of the product (PMs, for example). If you have any thoughts here, we'd love to hear them in the comments! Feel free to request access at https://getreploy.com if you're interested in getting up and running; also happy to answer any questions at `jay [at] getreploy.com`. Overall, very excited to be sharing this with HN, we'd love to hear your thoughts and keep the conversation going :).
7 by podoman | 0 comments on Hacker News.
Hello Hacker News! We're Jay and Himank from Reploy ( https://getreploy.com ). We're building a platform that allows teams to easily configure full-stack staging environments or "previews" of their web app which are created on every open PR. In the past, Himank and I spent time at several startups (~10->200 employees), where we were on customer-facing, product-oriented teams. We often found ourselves in positions where we wanted to share our environment with designer/PM/sales folks who didn't necessarily have a dev environment setup, and ngrok didn't cut it. Further, even when trying to share our environment with fellow engineers, there was always a slow down when requiring that they git stash, git pull, etc.. The solution to these pain points was either: 1) Waiting for a full staging or production deployment, which in most cases, wasn't really practical (from a cost and/or time perspective). 2) Using a static site hosting solution (Vercel, Netlify, etc..) which didn't allow us to preview full-stack changes. At some of these companies, an infra team had tried to build something like this, however, the "preview" workflow was very different than the "production" workflow, so there were annoyances (slow builds, lack of concurrent env support, no populating staging data etc..) that made the tool hard to use. This is where Reploy comes in! Especially in the current remote landscape, being able to have as many staging environments as features is helping teams move faster by simplifying and streamlining the feature development flow. We've put a lot of time into making this dead simple to set up. Just connect your repo, give us the commands that you run on your dev machine, and we'll spit out a live environment on a managed link. All of this configuration can be described in the `reploy.yml` file, which is essentially a simpler version of docker-compose :). And if you already have a docker-compose file, we can use that as well :). Take a look at a demo on our site! ( https://getreploy.com ). How does it work you may ask? The short answer is k8s. We schedule these environments on Kubernetes, however, we hide this from end-users so that all that they're interacting with is the Reploy configuration (just a series of commands to start up your web app). We've also curated a bunch of "runtimes" which contain common framework dependencies (reactjs, node, rails, etc..) so that if you don't want to worry about docker, you don't have to :) . And for the hardcore folks out there, we also support custom images. A few notable features that Reploy offers (specific to the aforementioned "staging" workflow): 1) Caching of specific directories (node_modules, .bundle, etc..) -> faster builds 2) Restarts of past environments -> Let's you compare the state of different commits 3) Notifications! -> We'll notify your team when a new environment is ready or failed the build process via slack, email, etc.. 4) A "setup" hook where your team can populate a database with staging data, or configure the host environment to your liking. From a pricing angle, we're looking to charge like most CI providers. That is, we'll charge a base price per engineer/user (~$30) and prorate any additional usage over a max number of concurrent environments. On that note, we've realized that pricing for Reploy is a very interesting problem, as the types of users that are creating environments (engineers, devops teams, etc..) are not necessarily the only users getting value out of the product (PMs, for example). If you have any thoughts here, we'd love to hear them in the comments! Feel free to request access at https://getreploy.com if you're interested in getting up and running; also happy to answer any questions at `jay [at] getreploy.com`. Overall, very excited to be sharing this with HN, we'd love to hear your thoughts and keep the conversation going :).
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Show HN: Free API service for crypto and foreign exchange rates
5 by arzzen | 0 comments on Hacker News.
5 by arzzen | 0 comments on Hacker News.
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Show HN: UI Playbook – A documented collection of UI components
72 by raunofreiberg | 14 comments on Hacker News.
72 by raunofreiberg | 14 comments on Hacker News.
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Show HN: Static-JSON-db, a database that can be deployed as a static website
2 by jasonlingx | 0 comments on Hacker News.
2 by jasonlingx | 0 comments on Hacker News.
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Show HN: Open-source autograder for coding problems (Django)
2 by arthtyagi | 0 comments on Hacker News.
2 by arthtyagi | 0 comments on Hacker News.
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Show HN: Easy Kubernetes Distributed Computing Platform
2 by theonlytallen | 0 comments on Hacker News.
2 by theonlytallen | 0 comments on Hacker News.
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Show HN: Single JavaScript API Client for Google Sheets and MS Excel APIs
3 by richardARPANET | 0 comments on Hacker News.
3 by richardARPANET | 0 comments on Hacker News.
Tuesday, 21 July 2020
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Show HN: Discover and pre-pull Docker images on Kubernetes nodes
2 by adrianchifor | 0 comments on Hacker News.
2 by adrianchifor | 0 comments on Hacker News.
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Show HN: Journal Together, journal with your friends over email, for free
8 by stopachka | 1 comments on Hacker News.
8 by stopachka | 1 comments on Hacker News.
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Show HN: Datagridxl.js – No-nonsense fast Excel-like data table library
2 by robbiejs | 1 comments on Hacker News.
2 by robbiejs | 1 comments on Hacker News.
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Show HN: Minimalistic, free and open source launcher app for Android
2 by tanujnotes | 0 comments on Hacker News.
2 by tanujnotes | 0 comments on Hacker News.
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Show HN: Partitions, a threaded instant messaging platform for engineering teams
3 by JacobTheSnacob | 0 comments on Hacker News.
3 by JacobTheSnacob | 0 comments on Hacker News.
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Show HN: Learn Algorithms using step by step interactive tutorials and videos
2 by blasterz | 0 comments on Hacker News.
2 by blasterz | 0 comments on Hacker News.
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Launch HN: Charityvest (YC S20) – Employee charitable funds and gift matching
9 by Leonidas243 | 5 comments on Hacker News.
Stephen, Jon, and Ashby here, the co-founders of Charityvest ( https://charityvest.org ). We created a modern, simple, and affordable way for companies to include charitable giving in their suite of employee benefits. We give employees their own tax-deductible charitable giving fund, like an “HSA for Charity.” They can make contributions into their fund and, from their fund, support any of the 1.4M charities in the US, all on one tax receipt. Using the funds, we enable companies to operate gift matching programs that run on autopilot. Each donation to a charity from an employee is matched automatically by the company in our system. A company can set up a matching gift program and launch giving funds to employees in about 10 minutes of work. Historically, corporate charitable giving matching programs have been administratively painful to operate. Making payments to charities, maintaining tax records, and doing due diligence on charitable compliance is taxing on HR / finance teams. The necessary software to help has historically been quite expensive and not very useful for employees beyond the matching features. This is one example of an observation Stephen made after working for years as a philanthropic consultant. Consumer fintech products aren’t built to make great giving experiences for donors. Instead, they are built for buyers — e.g., nonprofits (fundraising) or corporations (gift matching) — without a ton of consideration for the everyday user experience. A few years back, my wife and I made a commitment to give a portion of our income away every year, and we found it administratively painful to give regularly. The tech that nonprofits typically use hardly inspires generosity — e.g., high fees, poor user flows, and questionable information flow (like tax receipts). Giving platforms try to compensate for poor functionality with bright pictures of happy kids in developing countries, but when the technology is not a good financial experience it puts a damper on things. Charityvest started when I noticed a particular opportunity with donor-advised funds, which are tax-deductible giving funds recognized by the IRS. They are growing quickly (20% CAGR), but mainly among the high-net worth demographic. We believe they are powerful tools. They enable donors to have a giving portfolio all from one place (on one tax receipt) and have full control over their payment information/frequency, etc. Most of all, they enable a donor to split the decisions of committing to give and supporting a specific organization. Excitement about each of these decisions often strikes at different times for donors—particularly those who desire to give on a budget. We believe everyone should have their own charitable giving fund no matter their net worth. We’ve created technology that has democratized donor-advised funds. We also believe good technology should be available for every company, big and small. Employers can offer Charityvest for $2.49 / employee / month subscription, and we charge no fees on any of the giving — charities receive 100% of the money given. Lastly, we send the program administrator a fun report every month to let them know all the awesome giving their company and its employees did in one dashboard. This info can be leveraged for internal culture or external brand building. We’re just launching our workplace giving product, but we’ve already built a good portfolio of trusted customers, including Eric Ries’ (author of The Lean Startup) company, LTSE. We’ve particularly seen a number of companies use us as a meaningful part of their corporate decision to join the fight for racial justice in substantive ways. Our endgame is that the world becomes more generous, starting with the culture of every company. We believe giving is fundamentally good and we want to build technology that encourages more of it by making it more simple and accessible. You can check out our workplace giving product at ( https://ift.tt/2OJieFJ ). If you’re interested, we can get your company up and running in 10 minutes. Or, please feel free to forward us on to your HR leadership at your company. Our giving funds are also available for free for any individual on https://charityvest.org — without gift matching and reporting. We’d invite you to check out the experience. For individuals, we make gifts of cash and stock to any charity fee-free. Happy to share this with you all, and we’d love to know what you think.
9 by Leonidas243 | 5 comments on Hacker News.
Stephen, Jon, and Ashby here, the co-founders of Charityvest ( https://charityvest.org ). We created a modern, simple, and affordable way for companies to include charitable giving in their suite of employee benefits. We give employees their own tax-deductible charitable giving fund, like an “HSA for Charity.” They can make contributions into their fund and, from their fund, support any of the 1.4M charities in the US, all on one tax receipt. Using the funds, we enable companies to operate gift matching programs that run on autopilot. Each donation to a charity from an employee is matched automatically by the company in our system. A company can set up a matching gift program and launch giving funds to employees in about 10 minutes of work. Historically, corporate charitable giving matching programs have been administratively painful to operate. Making payments to charities, maintaining tax records, and doing due diligence on charitable compliance is taxing on HR / finance teams. The necessary software to help has historically been quite expensive and not very useful for employees beyond the matching features. This is one example of an observation Stephen made after working for years as a philanthropic consultant. Consumer fintech products aren’t built to make great giving experiences for donors. Instead, they are built for buyers — e.g., nonprofits (fundraising) or corporations (gift matching) — without a ton of consideration for the everyday user experience. A few years back, my wife and I made a commitment to give a portion of our income away every year, and we found it administratively painful to give regularly. The tech that nonprofits typically use hardly inspires generosity — e.g., high fees, poor user flows, and questionable information flow (like tax receipts). Giving platforms try to compensate for poor functionality with bright pictures of happy kids in developing countries, but when the technology is not a good financial experience it puts a damper on things. Charityvest started when I noticed a particular opportunity with donor-advised funds, which are tax-deductible giving funds recognized by the IRS. They are growing quickly (20% CAGR), but mainly among the high-net worth demographic. We believe they are powerful tools. They enable donors to have a giving portfolio all from one place (on one tax receipt) and have full control over their payment information/frequency, etc. Most of all, they enable a donor to split the decisions of committing to give and supporting a specific organization. Excitement about each of these decisions often strikes at different times for donors—particularly those who desire to give on a budget. We believe everyone should have their own charitable giving fund no matter their net worth. We’ve created technology that has democratized donor-advised funds. We also believe good technology should be available for every company, big and small. Employers can offer Charityvest for $2.49 / employee / month subscription, and we charge no fees on any of the giving — charities receive 100% of the money given. Lastly, we send the program administrator a fun report every month to let them know all the awesome giving their company and its employees did in one dashboard. This info can be leveraged for internal culture or external brand building. We’re just launching our workplace giving product, but we’ve already built a good portfolio of trusted customers, including Eric Ries’ (author of The Lean Startup) company, LTSE. We’ve particularly seen a number of companies use us as a meaningful part of their corporate decision to join the fight for racial justice in substantive ways. Our endgame is that the world becomes more generous, starting with the culture of every company. We believe giving is fundamentally good and we want to build technology that encourages more of it by making it more simple and accessible. You can check out our workplace giving product at ( https://ift.tt/2OJieFJ ). If you’re interested, we can get your company up and running in 10 minutes. Or, please feel free to forward us on to your HR leadership at your company. Our giving funds are also available for free for any individual on https://charityvest.org — without gift matching and reporting. We’d invite you to check out the experience. For individuals, we make gifts of cash and stock to any charity fee-free. Happy to share this with you all, and we’d love to know what you think.
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Show HN: ScreenToVideo – Record your screen and make a video tutorial
2 by nicktatomir | 0 comments on Hacker News.
2 by nicktatomir | 0 comments on Hacker News.
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Show HN: Doom-scroller.js – Helping you to avoid endlessly doomscrolling
5 by workeffortwaste | 0 comments on Hacker News.
5 by workeffortwaste | 0 comments on Hacker News.
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Show HN: More Letters – An incremental game about solving crypto puzzles
2 by max0563 | 0 comments on Hacker News.
2 by max0563 | 0 comments on Hacker News.
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Show HN: Gladys Assistant – A privacy-first, open-source home assistant
4 by pierregillesl | 1 comments on Hacker News.
4 by pierregillesl | 1 comments on Hacker News.
Monday, 20 July 2020
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Show HN: Spending GCloud for startups credits on a free demo
2 by browsergap | 0 comments on Hacker News.
2 by browsergap | 0 comments on Hacker News.
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Show HN: Free workflow software for startups and small teams
2 by antonzaydler | 1 comments on Hacker News.
2 by antonzaydler | 1 comments on Hacker News.
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Show HN: A modern User Script and bookmarklet manager - include.ai
5 by nocodelowcode | 1 comments on Hacker News.
5 by nocodelowcode | 1 comments on Hacker News.
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Show HN: Web-based self-development book on psychological software optimization
4 by designingmind | 2 comments on Hacker News.
4 by designingmind | 2 comments on Hacker News.
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Show HN: UUIDs that are Shakespearean, grammatically correct sentences
136 by debdut | 87 comments on Hacker News.
136 by debdut | 87 comments on Hacker News.
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Show HN: I compiled book recommendations from 1300+ leaders
2 by vhpoet | 0 comments on Hacker News.
2 by vhpoet | 0 comments on Hacker News.
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Show HN: Free Planning Templates by an ex big 4 consultant
6 by UC_Consultant | 0 comments on Hacker News.
6 by UC_Consultant | 0 comments on Hacker News.
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Show HN: Sideroo – Declarative Auditable Object-Oriented Library for Redis
3 by hatsunemiku | 0 comments on Hacker News.
3 by hatsunemiku | 0 comments on Hacker News.
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Launch HN: Reflect (YC S20) – No-code test automation for web apps
45 by tmcneal | 11 comments on Hacker News.
45 by tmcneal | 11 comments on Hacker News.
Sunday, 19 July 2020
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Show HN: Notepad – A fast and simple text editor on Windows for over 30 years
2 by gazelleeatslion | 1 comments on Hacker News.
2 by gazelleeatslion | 1 comments on Hacker News.
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Show HN: My 10 yr olds recent scratch creations
6 by tumidpandora | 4 comments on Hacker News.
Hi HN, my 10 yr old asked me to share his recent scratch creations with ya'll so here I am. He's relatively new to scratch. If you have a moment to spare, check out some of his work here. Enjoy! Swamp (platformer) - https://ift.tt/2DRmYH8 Unstoppable (visualizer) - https://ift.tt/3hfcMGN
6 by tumidpandora | 4 comments on Hacker News.
Hi HN, my 10 yr old asked me to share his recent scratch creations with ya'll so here I am. He's relatively new to scratch. If you have a moment to spare, check out some of his work here. Enjoy! Swamp (platformer) - https://ift.tt/2DRmYH8 Unstoppable (visualizer) - https://ift.tt/3hfcMGN
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Show HN: Rust-like error handling in Python thanks to PEP 622
5 by mtasic | 2 comments on Hacker News.
5 by mtasic | 2 comments on Hacker News.
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Show HN: Dendron – a roam like open source markdown note taking app
5 by kevinslin | 4 comments on Hacker News.
5 by kevinslin | 4 comments on Hacker News.
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Show HN: Megastep, 1M FPS reinforcement learning on a single GPU
3 by andyljones | 0 comments on Hacker News.
3 by andyljones | 0 comments on Hacker News.
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Show HN: Ed on the web – use the 'ed' text editor from a browser
2 by macleos | 0 comments on Hacker News.
2 by macleos | 0 comments on Hacker News.
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Show HN: React components for faster and easier email templates development
2 by shahaf_shaked | 0 comments on Hacker News.
2 by shahaf_shaked | 0 comments on Hacker News.
Saturday, 18 July 2020
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Show HN: Deep Reinforcement Learning based algo trading in beta testing
3 by coolwulf | 0 comments on Hacker News.
3 by coolwulf | 0 comments on Hacker News.
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Show HN: Dockerfiler: declarative management of images built from Dockerfiles
3 by jbergknoff | 0 comments on Hacker News.
3 by jbergknoff | 0 comments on Hacker News.
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Show HN: Open-Sourcing Deep Dream in PyTorch (MIT License)
2 by ai-epiphany | 0 comments on Hacker News.
2 by ai-epiphany | 0 comments on Hacker News.
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Show HN: OneBoard – minimal hack to use OneNote as a double whiteboard
2 by xworld21 | 0 comments on Hacker News.
2 by xworld21 | 0 comments on Hacker News.
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Show HN: Miti – sequence musical instruments with a text editor
2 by qrv3w | 0 comments on Hacker News.
2 by qrv3w | 0 comments on Hacker News.
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Show HN: Get a daily email digest of top Hacker News posts (and more)
2 by bbirnbaum | 1 comments on Hacker News.
2 by bbirnbaum | 1 comments on Hacker News.
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Show HN: I built a free, simple login service. Would you use this?
13 by benzguo | 7 comments on Hacker News.
13 by benzguo | 7 comments on Hacker News.
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Show HN: JavaScript regexp eBook with hundreds of examples and exercises
3 by asicsp | 2 comments on Hacker News.
Hello. I updated my ebook on JavaScript regular expressions [1] today - updates include corrections, additional content, exercises, solutions, etc All my ebooks [2] are currently free to help with quarantine reading. These include GNU grep & ripgrep, GNU sed, GNU awk and three books on regular expressions - Python, Ruby, JavaScript I'd appreciate your feedback and hope the books are useful. Happy learning :) [1] https://ift.tt/2rfH2x4 [2] https://ift.tt/389FB3W
3 by asicsp | 2 comments on Hacker News.
Hello. I updated my ebook on JavaScript regular expressions [1] today - updates include corrections, additional content, exercises, solutions, etc All my ebooks [2] are currently free to help with quarantine reading. These include GNU grep & ripgrep, GNU sed, GNU awk and three books on regular expressions - Python, Ruby, JavaScript I'd appreciate your feedback and hope the books are useful. Happy learning :) [1] https://ift.tt/2rfH2x4 [2] https://ift.tt/389FB3W
Friday, 17 July 2020
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Show HN: multipart MIME email that looks great everywhere
2 by begriffs | 0 comments on Hacker News.
2 by begriffs | 0 comments on Hacker News.
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Show HN: Reactive Resume, a free and open source resume builder
33 by AmruthPillai | 1 comments on Hacker News.
33 by AmruthPillai | 1 comments on Hacker News.
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Show HN: Fusion – A New “Computed Observable” for Distributed Real-Time Apps
5 by alexyakunin | 2 comments on Hacker News.
5 by alexyakunin | 2 comments on Hacker News.
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Launch HN: Mindset Health (YC S19) – Hypnotherapy apps for chronic conditions
5 by alexnaoumidis | 1 comments on Hacker News.
Hey HN! We're Alex & Chris, brothers from Melbourne, Australia, and the founders of Mindset Health ( https://ift.tt/2TS2Vwp ). We create mobile apps to help people manage chronic health conditions at home. Our programs use hypnosis-based techniques, developed by clinicians, to help people manage conditions like anxiety, depression & Irritable Bowel Syndrome (IBS). Mindset Health came out of a difficult period after Chris and I wound down our first startup. During this time, we experienced a lot of anxiety and stress. I ended up being prescribed anti-anxiety medication, but the side effects and the lack of control I felt caused me to look for non-pharmacological options, like CBT and biofeedback. Someone we trusted recommended hypnotherapy. Chris and I were skeptical about hypnosis (the 'being made to cluck like a chicken' reputation), but after coming around to the benefits of meditation a couple of years before, we were open enough to say we'd look more into the science. We ended up spending a few weeks diving deep into the hypnosis research and were surprised at what we found. Since many HN readers are probably as skeptical as we were, we're going to saturate the rest of this post with references. Hopefully not too many! Contrary to stereotypes of stage shows with outlandish mind control stunts, hypnosis simply involves becoming focused enough to become more receptive to new ideas or perspectives. Turns out that not only can this help with areas like smoking cessation [1], but conditions like anxiety [2], depression [3], IBS [4], sleep issues [5] and chronic pain [6] can be improved using hypnosis-based treatments. Like many topics in neuroscience, the mechanisms behind hypnosis are still being explored, but a 2016 brain scan study by the Stanford School of Medicine identified changes in brain activity related to absorption, executive control, and awareness [7] which is thought to create a more effective context for the delivery of therapeutic techniques like CBT [8]. It took some time but we decided to look into booking sessions with local 'hypnotherapists' to try it for ourselves. However, many of the people we came across weren't psychologists or qualified practitioners, and most of this wasn't covered by insurance. So we switched to trying pre-recorded sessions from a well-regarded psychologist who practices hypnosis. Those sessions were deeply relaxing and absorbing. Through using them I was able to learn coping skills helped me stop taking my anxiety medication. This experience gave Chris and me an idea: could we help more people access hypnotherapy by removing the stigma and barriers to trying it? Calm and Headspace had succeeded at doing so for meditation, changing it from a ritual of Buddhist monks to a popular mainstream wellness tool. Similarly to how meditation has become a powerful self-care habit for a healthy mind, perhaps hypnotherapy could become a tool for self-managing chronic health conditions. Chronic and mental health conditions account for a massive portion of the global healthcare cost (80–90% of the $3.5 trillion annual healthcare spend in the United States [9,10]). For many of these conditions, treatment is more about managing symptoms than 'curing' the condition, meaning that patients are reliant on drugs, surgeries, and/or restrictive diets for long periods of their life - with all of the cost and side effects involved. We decided to make our idea into reality, and began Mindset Health with the intention of helping people with these conditions strengthen their self-regulation skills and reduce reliance on pharmacological interventions. We currently have two apps that use hypnotherapy to help people manage health conditions (with more on the way, including chronic pain and smoking cessation). The first app is called Mindset ( https://ift.tt/3eA13AV ), which is based on the work of Dr Michael Yapko, an expert in the clinical uses of hypnosis (he literally wrote the textbook)[11]. It involves a series of hypnosis-based audio sessions that teach coping skills that can help manage anxiety and depression. Each hypnotherapy session dives into a specific thought pattern or life challenge and helps you improve by teaching you new skills and perspectives. The second app, Nerva ( https://ift.tt/2WrxCLe ), is designed for users with Irritable Bowel Syndrome (a condition affecting 10-15% of the population, so 33-49 million Americans). It's based on the work of Dr Simone Peters, who led a randomized controlled trial that deployed a 6-week gut-directed hypnotherapy program; this approach was shown to help 71% of participants improve their symptoms by a clinically significant amount [12]. Nerva delivers this 6-week hypnotherapy approach (audio sessions that use visualization and suggestion to improve self-regulation skills, as well as sychoeducation and breathing exercises), plus a maintenance plan to help users to build on their progress. From past discussions, including the recent HN thread at https://ift.tt/2MttKUM , we know that the topic of hypnosis can bring up a lot of understandable skepticism. That's why we've included so many links below. We're also happy to talk about it. We've been there ourselves, so please feel free to be skeptical, ask questions, and share your experiences in this area. We want to hear them! Also, if there's anything you want to say that isn't right for a public forum, you're welcome to email us at founders@mindsethealth.com as well. [1] https://ift.tt/3eJ8N3z [2] https://ift.tt/3fI5if6... [3] https://ift.tt/399gpex... [4] https://ift.tt/2ZEZldC [5] https://ift.tt/30pWIvn [6] https://ift.tt/2sw9Z4d [7] https://ift.tt/3h5Uess... [8] https://ift.tt/3fFOCoG [9] https://ift.tt/2WtaPi0... [10] https://ift.tt/3fHhCMJ... ). [11] https://ift.tt/2DOqXUR [12] https://ift.tt/3hn7CsH
5 by alexnaoumidis | 1 comments on Hacker News.
Hey HN! We're Alex & Chris, brothers from Melbourne, Australia, and the founders of Mindset Health ( https://ift.tt/2TS2Vwp ). We create mobile apps to help people manage chronic health conditions at home. Our programs use hypnosis-based techniques, developed by clinicians, to help people manage conditions like anxiety, depression & Irritable Bowel Syndrome (IBS). Mindset Health came out of a difficult period after Chris and I wound down our first startup. During this time, we experienced a lot of anxiety and stress. I ended up being prescribed anti-anxiety medication, but the side effects and the lack of control I felt caused me to look for non-pharmacological options, like CBT and biofeedback. Someone we trusted recommended hypnotherapy. Chris and I were skeptical about hypnosis (the 'being made to cluck like a chicken' reputation), but after coming around to the benefits of meditation a couple of years before, we were open enough to say we'd look more into the science. We ended up spending a few weeks diving deep into the hypnosis research and were surprised at what we found. Since many HN readers are probably as skeptical as we were, we're going to saturate the rest of this post with references. Hopefully not too many! Contrary to stereotypes of stage shows with outlandish mind control stunts, hypnosis simply involves becoming focused enough to become more receptive to new ideas or perspectives. Turns out that not only can this help with areas like smoking cessation [1], but conditions like anxiety [2], depression [3], IBS [4], sleep issues [5] and chronic pain [6] can be improved using hypnosis-based treatments. Like many topics in neuroscience, the mechanisms behind hypnosis are still being explored, but a 2016 brain scan study by the Stanford School of Medicine identified changes in brain activity related to absorption, executive control, and awareness [7] which is thought to create a more effective context for the delivery of therapeutic techniques like CBT [8]. It took some time but we decided to look into booking sessions with local 'hypnotherapists' to try it for ourselves. However, many of the people we came across weren't psychologists or qualified practitioners, and most of this wasn't covered by insurance. So we switched to trying pre-recorded sessions from a well-regarded psychologist who practices hypnosis. Those sessions were deeply relaxing and absorbing. Through using them I was able to learn coping skills helped me stop taking my anxiety medication. This experience gave Chris and me an idea: could we help more people access hypnotherapy by removing the stigma and barriers to trying it? Calm and Headspace had succeeded at doing so for meditation, changing it from a ritual of Buddhist monks to a popular mainstream wellness tool. Similarly to how meditation has become a powerful self-care habit for a healthy mind, perhaps hypnotherapy could become a tool for self-managing chronic health conditions. Chronic and mental health conditions account for a massive portion of the global healthcare cost (80–90% of the $3.5 trillion annual healthcare spend in the United States [9,10]). For many of these conditions, treatment is more about managing symptoms than 'curing' the condition, meaning that patients are reliant on drugs, surgeries, and/or restrictive diets for long periods of their life - with all of the cost and side effects involved. We decided to make our idea into reality, and began Mindset Health with the intention of helping people with these conditions strengthen their self-regulation skills and reduce reliance on pharmacological interventions. We currently have two apps that use hypnotherapy to help people manage health conditions (with more on the way, including chronic pain and smoking cessation). The first app is called Mindset ( https://ift.tt/3eA13AV ), which is based on the work of Dr Michael Yapko, an expert in the clinical uses of hypnosis (he literally wrote the textbook)[11]. It involves a series of hypnosis-based audio sessions that teach coping skills that can help manage anxiety and depression. Each hypnotherapy session dives into a specific thought pattern or life challenge and helps you improve by teaching you new skills and perspectives. The second app, Nerva ( https://ift.tt/2WrxCLe ), is designed for users with Irritable Bowel Syndrome (a condition affecting 10-15% of the population, so 33-49 million Americans). It's based on the work of Dr Simone Peters, who led a randomized controlled trial that deployed a 6-week gut-directed hypnotherapy program; this approach was shown to help 71% of participants improve their symptoms by a clinically significant amount [12]. Nerva delivers this 6-week hypnotherapy approach (audio sessions that use visualization and suggestion to improve self-regulation skills, as well as sychoeducation and breathing exercises), plus a maintenance plan to help users to build on their progress. From past discussions, including the recent HN thread at https://ift.tt/2MttKUM , we know that the topic of hypnosis can bring up a lot of understandable skepticism. That's why we've included so many links below. We're also happy to talk about it. We've been there ourselves, so please feel free to be skeptical, ask questions, and share your experiences in this area. We want to hear them! Also, if there's anything you want to say that isn't right for a public forum, you're welcome to email us at founders@mindsethealth.com as well. [1] https://ift.tt/3eJ8N3z [2] https://ift.tt/3fI5if6... [3] https://ift.tt/399gpex... [4] https://ift.tt/2ZEZldC [5] https://ift.tt/30pWIvn [6] https://ift.tt/2sw9Z4d [7] https://ift.tt/3h5Uess... [8] https://ift.tt/3fFOCoG [9] https://ift.tt/2WtaPi0... [10] https://ift.tt/3fHhCMJ... ). [11] https://ift.tt/2DOqXUR [12] https://ift.tt/3hn7CsH
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Midnight is a side-project I've been working on for the past year, but only released in alpha a month ago. It aims to be the web equivalent of your local pub: a place you can go to and talk about your day with strangers or friends. It's heavily inspired by write.as (for simplicy) and Roam (for bi-directional linking). My hope is that it fosters creative writing as well as typical pub discussions. You can read more about it and the concept on https://midnight.pub Here are some example of interesting stories written: https://ift.tt/32qUApv https://ift.tt/3eDRqRY https://ift.tt/3h95gNG Thanks for reading!
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38 by kennandavison | 10 comments on Hacker News.
Hi all! I'm Kennan and I recently founded Jika ( https://jika.ai ). Jika helps Shopify sellers A/B test their product pricing so they can make more money. Let’s say you sell shoes on Shopify for $100 and want to test $110. You’d 1-click install the Jika Shopify App and go to a dashboard where you select and start a test for $110. We then handle the heavy lifting of showing price A to 50% of your visitors and price B to the other 50%. As the test is running, Jika keeps track of revenue, conversions, and visitors at each price point. You’d repeat this process as much as you can since the optimal price for a product is always changing. Up until now, most people have priced off competitors, but that doesn't cut it anymore with big companies getting more and more sophisticated. A prime example of this is Amazon accelerating their development of in-house brands (~640 in late 2019) and using their dataset to outprice other online sellers (2.5m price changes per day in 2013 and more today). One recent test of a best selling product for a Shopify brand doing 1M+ monthly revenue resulted in a data significant ~10% revenue lift from a -7% price. This better price for the best selling product translates to a ~30k+ monthly revenue increase (~180k+ revenue over 6 months). I chose to work on pricing because I love optimization. Past optimization includes dropping out of college after 1 year to be a growth (A/B testing) engineer at Pinterest for 3 years and building an app for discounts + promotions at Hulu. In high school, I also optimized enough to be a top 200 player in League of Legends. Would love to answer any questions or comments below! PS. If you know anyone on Shopify, I'd love to help them nail down their pricing. :D
38 by kennandavison | 10 comments on Hacker News.
Hi all! I'm Kennan and I recently founded Jika ( https://jika.ai ). Jika helps Shopify sellers A/B test their product pricing so they can make more money. Let’s say you sell shoes on Shopify for $100 and want to test $110. You’d 1-click install the Jika Shopify App and go to a dashboard where you select and start a test for $110. We then handle the heavy lifting of showing price A to 50% of your visitors and price B to the other 50%. As the test is running, Jika keeps track of revenue, conversions, and visitors at each price point. You’d repeat this process as much as you can since the optimal price for a product is always changing. Up until now, most people have priced off competitors, but that doesn't cut it anymore with big companies getting more and more sophisticated. A prime example of this is Amazon accelerating their development of in-house brands (~640 in late 2019) and using their dataset to outprice other online sellers (2.5m price changes per day in 2013 and more today). One recent test of a best selling product for a Shopify brand doing 1M+ monthly revenue resulted in a data significant ~10% revenue lift from a -7% price. This better price for the best selling product translates to a ~30k+ monthly revenue increase (~180k+ revenue over 6 months). I chose to work on pricing because I love optimization. Past optimization includes dropping out of college after 1 year to be a growth (A/B testing) engineer at Pinterest for 3 years and building an app for discounts + promotions at Hulu. In high school, I also optimized enough to be a top 200 player in League of Legends. Would love to answer any questions or comments below! PS. If you know anyone on Shopify, I'd love to help them nail down their pricing. :D
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