New top story on Hacker News: Sigint in Fiction
nasir khan
March 10, 2025
New top story on Hacker News: Sigint in Fiction
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Reviewed by nasir khan
on
March 10, 2025
Rating:
New top story on Hacker News: Hatching a Conspiracy: A Big Investigation into Egg Prices
nasir khan
March 09, 2025
New top story on Hacker News: Hatching a Conspiracy: A Big Investigation into Egg Prices
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Reviewed by nasir khan
on
March 09, 2025
Rating:
New top story on Hacker News: Binocular Shot
nasir khan
March 09, 2025
New top story on Hacker News: Binocular Shot
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Reviewed by nasir khan
on
March 09, 2025
Rating:
New top story on Hacker News: Show HN: I built a tool to detect scams
nasir khan
March 08, 2025
New top story on Hacker News: Show HN: I built a tool to detect scams
![New top story on Hacker News: Show HN: I built a tool to detect scams]()
Reviewed by nasir khan
on
March 08, 2025
Rating:
New top story on Hacker News: Show HN: A big tech dev experience for an open source CMS
nasir khan
March 07, 2025
Show HN: A big tech dev experience for an open source CMS
19 by randall | 15 comments on Hacker News.
Hey HN! We're building an open-source CMS designed to help creators with every part of the content production pipeline. We're showing our tiny first step: A tool designed to take in a Twitter username and produce an "identity card" based on it. We expect to use an approach similar to [Constitutional AI] with an explicit focus on repeatability, testability, and verification of an "identity card." We think this approach could be used to create finetuning examples for training changes, or serve as inference time insight for LLMs, or most likely a combination of the two. The tooling we're showing today is extremely simplistic (and the AI is frankly bad) but this is intentional. We're more focused on showing the dev experience and community aspects. We'd like to make it easier to contribute to this project than edit Wikipedia. Communities are frustrated with things like Wordpress, Apache, and other open source foundations focusing on things other than software. We have a lot of community ideas (governance via vote by jury is perhaps the most interesting). We're a team of 5, and we've bounced around a few companies with each other. We're all professional creators (video + music) and we're creating tooling for ourselves first. Previously, we did a startup called Vidpresso (YC W14) that was acquired by Facebook in 2018. We all worked at Facebook for 5 years on creator tooling, and have since left to start this thing. After leaving FB, it was painful for us to leave the warm embrace of the Facebook infra team where we had amazing tooling. Since then, we've pivoted a bunch of times trying to figure out our "real" product. While we think we've finally nailed it, the developer experience we built is one we think others could benefit from. Our tooling is designed so any developer can easily jump in and start contributing. It's an AI-first dev environment designed with a few key principles in mind: 1. You should be able to discover any command you need to run without looking at docs. 2. To make a change, as much context as possible should be provided as close to the code as possible. 3. AIs are "people too", in the sense that they benefit from focused context, and not being distracted by having to search deeply through multiple files or documentation to make changes. We have a few non-traditional elements to our stack which we think are worth exploring. [Isograph] helps us simplify our component usage with GraphQL. [Replit] lets people use AI coding without needing to set up any additional tooling. We've learned how to treat it like a junior developer, and think it will be the best platform for AI-first open source projects going forward. [Sapling] (and Git together) for version control. It might sound counter intuitive, but we use Git to manage agent interactionsand we use Sapling to manage "purposeful" commits. My last [Show HN post in 2013] ended up helping me find my Vidpresso cofounder so I have high hopes for this one. I'm excited to meet anyone, developers, creators, or nice people in general, and start to work with them to make this project work. I have good references of being a nice guy, and aim to keep that going with this project. The best way to work with us is [remix our Replit app] and [join our Discord]. Thanks for reading and checking us out! It's super early, but we're excited to work with you! [Constitutional AI]: https://ift.tt/WXAZIov... [Isograph]: https://isograph.dev [Replit]: https://replit.com [Sapling]: https://sapling-scm.com [Show HN post in 2013]: https://ift.tt/VfqIsNS [remix our Replit app]: https://ift.tt/JCx61Zp... [join our Discord]: https://ift.tt/iX6sg4T
19 by randall | 15 comments on Hacker News.
Hey HN! We're building an open-source CMS designed to help creators with every part of the content production pipeline. We're showing our tiny first step: A tool designed to take in a Twitter username and produce an "identity card" based on it. We expect to use an approach similar to [Constitutional AI] with an explicit focus on repeatability, testability, and verification of an "identity card." We think this approach could be used to create finetuning examples for training changes, or serve as inference time insight for LLMs, or most likely a combination of the two. The tooling we're showing today is extremely simplistic (and the AI is frankly bad) but this is intentional. We're more focused on showing the dev experience and community aspects. We'd like to make it easier to contribute to this project than edit Wikipedia. Communities are frustrated with things like Wordpress, Apache, and other open source foundations focusing on things other than software. We have a lot of community ideas (governance via vote by jury is perhaps the most interesting). We're a team of 5, and we've bounced around a few companies with each other. We're all professional creators (video + music) and we're creating tooling for ourselves first. Previously, we did a startup called Vidpresso (YC W14) that was acquired by Facebook in 2018. We all worked at Facebook for 5 years on creator tooling, and have since left to start this thing. After leaving FB, it was painful for us to leave the warm embrace of the Facebook infra team where we had amazing tooling. Since then, we've pivoted a bunch of times trying to figure out our "real" product. While we think we've finally nailed it, the developer experience we built is one we think others could benefit from. Our tooling is designed so any developer can easily jump in and start contributing. It's an AI-first dev environment designed with a few key principles in mind: 1. You should be able to discover any command you need to run without looking at docs. 2. To make a change, as much context as possible should be provided as close to the code as possible. 3. AIs are "people too", in the sense that they benefit from focused context, and not being distracted by having to search deeply through multiple files or documentation to make changes. We have a few non-traditional elements to our stack which we think are worth exploring. [Isograph] helps us simplify our component usage with GraphQL. [Replit] lets people use AI coding without needing to set up any additional tooling. We've learned how to treat it like a junior developer, and think it will be the best platform for AI-first open source projects going forward. [Sapling] (and Git together) for version control. It might sound counter intuitive, but we use Git to manage agent interactionsand we use Sapling to manage "purposeful" commits. My last [Show HN post in 2013] ended up helping me find my Vidpresso cofounder so I have high hopes for this one. I'm excited to meet anyone, developers, creators, or nice people in general, and start to work with them to make this project work. I have good references of being a nice guy, and aim to keep that going with this project. The best way to work with us is [remix our Replit app] and [join our Discord]. Thanks for reading and checking us out! It's super early, but we're excited to work with you! [Constitutional AI]: https://ift.tt/WXAZIov... [Isograph]: https://isograph.dev [Replit]: https://replit.com [Sapling]: https://sapling-scm.com [Show HN post in 2013]: https://ift.tt/VfqIsNS [remix our Replit app]: https://ift.tt/JCx61Zp... [join our Discord]: https://ift.tt/iX6sg4T
New top story on Hacker News: Show HN: A big tech dev experience for an open source CMS
![New top story on Hacker News: Show HN: A big tech dev experience for an open source CMS]()
Reviewed by nasir khan
on
March 07, 2025
Rating:
New top story on Hacker News: Questions for William J. Rapaport
nasir khan
March 06, 2025
New top story on Hacker News: Questions for William J. Rapaport
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Reviewed by nasir khan
on
March 06, 2025
Rating:
New top story on Hacker News: Atlassian announces end of support for Opsgenie
nasir khan
March 06, 2025
New top story on Hacker News: Atlassian announces end of support for Opsgenie
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Reviewed by nasir khan
on
March 06, 2025
Rating:
New top story on Hacker News: Leaked VA memo calls for up to 83,000 layoffs to reduce workforce to 2019 levels
nasir khan
March 05, 2025
Leaked VA memo calls for up to 83,000 layoffs to reduce workforce to 2019 levels
26 by araes | 7 comments on Hacker News.
26 by araes | 7 comments on Hacker News.
New top story on Hacker News: Leaked VA memo calls for up to 83,000 layoffs to reduce workforce to 2019 levels
![New top story on Hacker News: Leaked VA memo calls for up to 83,000 layoffs to reduce workforce to 2019 levels]()
Reviewed by nasir khan
on
March 05, 2025
Rating:
New top story on Hacker News: Apple takes UK to court over 'backdoor' order
nasir khan
March 05, 2025
New top story on Hacker News: Apple takes UK to court over 'backdoor' order
![New top story on Hacker News: Apple takes UK to court over 'backdoor' order]()
Reviewed by nasir khan
on
March 05, 2025
Rating:
New top story on Hacker News: Show HN: Open-source Deep Research across workplace applications
nasir khan
March 04, 2025
Show HN: Open-source Deep Research across workplace applications
6 by yuhongsun | 1 comments on Hacker News.
I’ve been using deep research on OpenAI and Perplexity and it’s been just amazing at gathering data across a lot of related and chained searches. Just earlier today, I asked “What are some marquee tech companies / hot startups (not including the giants like FAAMG, Samsung, Nvidia etc.)”. It’s a pretty involved question and looking up “marquee tech startups” or "hot tech startups" on Google gave me nothing useful. Deep research on both ChatGPT and Perplexity gave really high quality responses with ChatGPT siding on slightly larger scaleups and Perplexity siding more on up and coming companies. Given how useful AI research agents are across the internet, we decided to build an open-source equivalent for the workplace since a ton of questions at work also cannot be easily resolved with a single search. Onyx supports deep research connected to company applications like Google Drive, Salesforce, Sharepoint, GitHub, Slack, and 30+ others. For example, an engineer may want to know “What’s happening with the verification email failure?” Onyx’s AI agent would first figure out what it needs to answer this question: What is the cause of the failure, what has been done to address it, has this come up before, and what’s the latest status on the issue. The agent would run parallel searches through Confluence, email, Slack, and GitHub to get the answers to these then combine them to build a coherent overview. If the agent finds that there was a technical blocker that will delay the resolution, it will adjust mid-flight and research to get more context on the blocker. Here’s a video demo I recorded: https://www.youtube.com/watch?v=drvC0fWG4hE If you want to get started with the GitHub repo, you can check out our guides at https://docs.onyx.app . Or to play with it without needing to deploy anything, you can go to https://ift.tt/q9Sdomz P.S. There’s a lot of cool technical details behind building a system like this so I’ll continue the conversation in the comments.
6 by yuhongsun | 1 comments on Hacker News.
I’ve been using deep research on OpenAI and Perplexity and it’s been just amazing at gathering data across a lot of related and chained searches. Just earlier today, I asked “What are some marquee tech companies / hot startups (not including the giants like FAAMG, Samsung, Nvidia etc.)”. It’s a pretty involved question and looking up “marquee tech startups” or "hot tech startups" on Google gave me nothing useful. Deep research on both ChatGPT and Perplexity gave really high quality responses with ChatGPT siding on slightly larger scaleups and Perplexity siding more on up and coming companies. Given how useful AI research agents are across the internet, we decided to build an open-source equivalent for the workplace since a ton of questions at work also cannot be easily resolved with a single search. Onyx supports deep research connected to company applications like Google Drive, Salesforce, Sharepoint, GitHub, Slack, and 30+ others. For example, an engineer may want to know “What’s happening with the verification email failure?” Onyx’s AI agent would first figure out what it needs to answer this question: What is the cause of the failure, what has been done to address it, has this come up before, and what’s the latest status on the issue. The agent would run parallel searches through Confluence, email, Slack, and GitHub to get the answers to these then combine them to build a coherent overview. If the agent finds that there was a technical blocker that will delay the resolution, it will adjust mid-flight and research to get more context on the blocker. Here’s a video demo I recorded: https://www.youtube.com/watch?v=drvC0fWG4hE If you want to get started with the GitHub repo, you can check out our guides at https://docs.onyx.app . Or to play with it without needing to deploy anything, you can go to https://ift.tt/q9Sdomz P.S. There’s a lot of cool technical details behind building a system like this so I’ll continue the conversation in the comments.
New top story on Hacker News: Show HN: Open-source Deep Research across workplace applications
![New top story on Hacker News: Show HN: Open-source Deep Research across workplace applications]()
Reviewed by nasir khan
on
March 04, 2025
Rating:
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