You can't turn off Copilot in the web versions of Word, Excel, or PowerPoint
33 by artbristol | 4 comments on Hacker News.
Thursday, October 30, 2025
Wednesday, October 29, 2025
Tuesday, October 28, 2025
Monday, October 27, 2025
New top story on Hacker News: 10M people watched a YouTuber shim a lock; the lock company sued him – bad idea
10M people watched a YouTuber shim a lock; the lock company sued him – bad idea
140 by Brajeshwar | 57 comments on Hacker News.
https://www.youtube.com/shorts/YjzlmKz_MM8
140 by Brajeshwar | 57 comments on Hacker News.
https://www.youtube.com/shorts/YjzlmKz_MM8
Sunday, October 26, 2025
Saturday, October 25, 2025
New top story on Hacker News: Dead soldiers' teeth reveal diseases that doomed Napoleon's army
Dead soldiers' teeth reveal diseases that doomed Napoleon's army
6 by reaperducer | 62 comments on Hacker News.
https://ift.tt/5wLjyxA... https://ift.tt/4tPJOmZ...
6 by reaperducer | 62 comments on Hacker News.
https://ift.tt/5wLjyxA... https://ift.tt/4tPJOmZ...
Friday, October 24, 2025
Thursday, October 23, 2025
New top story on Hacker News: Show HN: Tommy – Turn ESP32 devices into through-wall motion sensors
Show HN: Tommy – Turn ESP32 devices into through-wall motion sensors
4 by mike2872 | 0 comments on Hacker News.
Hi HN! I would like to present my project called TOMMY, which turns ESP32 devices into motion sensors that work through walls and obstacles using Wi-Fi sensing. TOMMY started as a project for my own use. I was frustrated with motion sensors that didn't detect stationary presence and left dead zones everywhere. Presence sensors existed but were expensive and needed one per room. I explored echo localization first, but microphones listening 24/7 felt too creepy. Then I discovered Wi-Fi sensing - a huge research topic but nothing production-ready yet. It ticked all the boxes: could theoretically detect stationary presence through breathing/micromovements and worked through walls and furniture so devices could be hidden away. Two years and dozens of research papers later, TOMMY has evolved into software I'm honestly quite proud of. Although it doesn't have stationary presence detection yet (coming Q1 2026) it detects motion really well. It works as a Home Assistant Add-on or Docker container, supports a range of ESP32 devices, and can be flashed through the built-in tool or used alongside existing ESPHome setups. I released the first version a couple of months ago on Home Assistant's subreddit and got a lot of interest and positive feedback. More than 200 people joined the Discord community and almost 2,000 downloaded it. Right now TOMMY is in beta, which is completely free for everyone to use. I'm also offering free lifetime licenses to every beta user who joins the Discord channel. You can read more about the project on https://ift.tt/byX6tZw . Please join the Discord channel if you are interested in the project. A note on open source: There's been a lot of interest in having TOMMY as an open source project, which I fully understand. I'm reluctant to open source before reaching sustainability, as I'd love to work on this full time. However, privacy is verifiable - it's 100% local with no data collection (easily confirmed via packet sniffing or network isolation). Happy to help anyone verify this.
4 by mike2872 | 0 comments on Hacker News.
Hi HN! I would like to present my project called TOMMY, which turns ESP32 devices into motion sensors that work through walls and obstacles using Wi-Fi sensing. TOMMY started as a project for my own use. I was frustrated with motion sensors that didn't detect stationary presence and left dead zones everywhere. Presence sensors existed but were expensive and needed one per room. I explored echo localization first, but microphones listening 24/7 felt too creepy. Then I discovered Wi-Fi sensing - a huge research topic but nothing production-ready yet. It ticked all the boxes: could theoretically detect stationary presence through breathing/micromovements and worked through walls and furniture so devices could be hidden away. Two years and dozens of research papers later, TOMMY has evolved into software I'm honestly quite proud of. Although it doesn't have stationary presence detection yet (coming Q1 2026) it detects motion really well. It works as a Home Assistant Add-on or Docker container, supports a range of ESP32 devices, and can be flashed through the built-in tool or used alongside existing ESPHome setups. I released the first version a couple of months ago on Home Assistant's subreddit and got a lot of interest and positive feedback. More than 200 people joined the Discord community and almost 2,000 downloaded it. Right now TOMMY is in beta, which is completely free for everyone to use. I'm also offering free lifetime licenses to every beta user who joins the Discord channel. You can read more about the project on https://ift.tt/byX6tZw . Please join the Discord channel if you are interested in the project. A note on open source: There's been a lot of interest in having TOMMY as an open source project, which I fully understand. I'm reluctant to open source before reaching sustainability, as I'd love to work on this full time. However, privacy is verifiable - it's 100% local with no data collection (easily confirmed via packet sniffing or network isolation). Happy to help anyone verify this.
Wednesday, October 22, 2025
Tuesday, October 21, 2025
Monday, October 20, 2025
Sunday, October 19, 2025
New top story on Hacker News: Ask HN: What are people doing to get off of VMware?
Ask HN: What are people doing to get off of VMware?
24 by jwithington | 19 comments on Hacker News.
In certain large industries it feels like there's more urgency to migrate off of VMware than there is to do genAI stuff. Do others sense this? If so, what options do you see for folks to keep their servers but move off of VMware? Is it all RedHat?
24 by jwithington | 19 comments on Hacker News.
In certain large industries it feels like there's more urgency to migrate off of VMware than there is to do genAI stuff. Do others sense this? If so, what options do you see for folks to keep their servers but move off of VMware? Is it all RedHat?
Saturday, October 18, 2025
Friday, October 17, 2025
New top story on Hacker News: Show HN: We packaged an MCP server inside Chromium
Show HN: We packaged an MCP server inside Chromium
7 by felarof | 2 comments on Hacker News.
Hey HN, we just shipped a browser with an inbuilt MCP server! We're a YC startup (S24) building BrowserOS — an open‑source Chromium fork. We're a privacy‑first alternative to the new wave of AI browsers like Dia, Perplexity Comet. Since launching ~3 months ago, the #1 request has been to expose our browser as an MCP server. -- Google beat us to launch with chrome-devtools-mcp (solid product btw), which lets you build/debug web apps by connecting Chrome to coding assistants. But we wanted to take this a step further: we packaged the MCP server directly into our browser binary. That gives three advantages: 1. MCP server setup is super simple — no npx install, no starting Chrome with CDP flags, you just download the BrowserOS binary. 2. with our browser's inbuilt MCP server, AI agents can interact using your logged‑in sessions (unlike chrome-devtools-mcp which starts a fresh headless instance each time) 3. our MCP server also exposes new APIs from Chromium's C++ core to click, type, and draw bounding boxes on a webpage. Our APIs are also not CDP-based (Chrome Debug Protocol) and have robust anti-bot detection. -- Few example use cases for BrowserOS-mcp are: a) *Frontend development with Claude Code*: instead of screenshot‑pasting, claude-code gets WYSIWYG access. It can write code, take a screenshot, check console logs, and fix issues in one agentic sweep. Since it has your sessions, it can do QA stuff like "test the auth flow with my Google Sign‑In." Here's a video of claude-code using browserOS to improve the css styling with back-and-forth checking: https://youtu.be/vcSxzIIkg_0 b) *Use as an agentic browser:* You can install BrowserOS-mcp in claude-code or Claude Desktop and do things like form-filling, extraction, multi-step agentic tasks, etc. It honestly works better than Perplexity Comet! Here's a video of claude-code opening top 5 hacker news posts and summarizing: https://youtu.be/rPFx_Btajj0 -- *How we packaged MCP server inside Chromium binary*: We package the server as a Bun binary and expose MCP tools over HTTP instead of stdio (to support multiple sessions). And we have a BrowserOS controller installed as an extension at the application layer which the MCP server connects to over WebSocket to control the browser. Here's a rough architecture diagram: https://dub.sh/browseros-mcp-diag -- *How to install and use it:* We put together a short guide here: https://ift.tt/qSQMVTK Our vision is to reimagine the browser as an operating system for AI agents, and packaging an MCP server directly into it is a big unlock for that! I'll be hanging around all day, would love to get your feedback and answer any questions!
7 by felarof | 2 comments on Hacker News.
Hey HN, we just shipped a browser with an inbuilt MCP server! We're a YC startup (S24) building BrowserOS — an open‑source Chromium fork. We're a privacy‑first alternative to the new wave of AI browsers like Dia, Perplexity Comet. Since launching ~3 months ago, the #1 request has been to expose our browser as an MCP server. -- Google beat us to launch with chrome-devtools-mcp (solid product btw), which lets you build/debug web apps by connecting Chrome to coding assistants. But we wanted to take this a step further: we packaged the MCP server directly into our browser binary. That gives three advantages: 1. MCP server setup is super simple — no npx install, no starting Chrome with CDP flags, you just download the BrowserOS binary. 2. with our browser's inbuilt MCP server, AI agents can interact using your logged‑in sessions (unlike chrome-devtools-mcp which starts a fresh headless instance each time) 3. our MCP server also exposes new APIs from Chromium's C++ core to click, type, and draw bounding boxes on a webpage. Our APIs are also not CDP-based (Chrome Debug Protocol) and have robust anti-bot detection. -- Few example use cases for BrowserOS-mcp are: a) *Frontend development with Claude Code*: instead of screenshot‑pasting, claude-code gets WYSIWYG access. It can write code, take a screenshot, check console logs, and fix issues in one agentic sweep. Since it has your sessions, it can do QA stuff like "test the auth flow with my Google Sign‑In." Here's a video of claude-code using browserOS to improve the css styling with back-and-forth checking: https://youtu.be/vcSxzIIkg_0 b) *Use as an agentic browser:* You can install BrowserOS-mcp in claude-code or Claude Desktop and do things like form-filling, extraction, multi-step agentic tasks, etc. It honestly works better than Perplexity Comet! Here's a video of claude-code opening top 5 hacker news posts and summarizing: https://youtu.be/rPFx_Btajj0 -- *How we packaged MCP server inside Chromium binary*: We package the server as a Bun binary and expose MCP tools over HTTP instead of stdio (to support multiple sessions). And we have a BrowserOS controller installed as an extension at the application layer which the MCP server connects to over WebSocket to control the browser. Here's a rough architecture diagram: https://dub.sh/browseros-mcp-diag -- *How to install and use it:* We put together a short guide here: https://ift.tt/qSQMVTK Our vision is to reimagine the browser as an operating system for AI agents, and packaging an MCP server directly into it is a big unlock for that! I'll be hanging around all day, would love to get your feedback and answer any questions!
Thursday, October 16, 2025
New top story on Hacker News: Show HN: How Useless Are You? A brutally honest skills check
Show HN: How Useless Are You? A brutally honest skills check
14 by mraspuzzi | 9 comments on Hacker News.
We built this to answer "am I a fit for this role?" after noticing how hard it is to get honest feedback when applying to a YC startup or something else entirely. It's a custom 5-minute challenge that roasts you after. Added a leaderboard for those who want to see how they stack up. Roast us below.
14 by mraspuzzi | 9 comments on Hacker News.
We built this to answer "am I a fit for this role?" after noticing how hard it is to get honest feedback when applying to a YC startup or something else entirely. It's a custom 5-minute challenge that roasts you after. Added a leaderboard for those who want to see how they stack up. Roast us below.
Wednesday, October 15, 2025
Tuesday, October 14, 2025
Monday, October 13, 2025
Sunday, October 12, 2025
New top story on Hacker News: Show HN: I built a simple ambient sound app with no ads or subscriptions
Show HN: I built a simple ambient sound app with no ads or subscriptions
6 by alpaca121 | 0 comments on Hacker News.
I’ve always liked having background noise while working or falling asleep, but I got frustrated that most “white noise” or ambient sound apps are either paywalled, stuffed with ads, or try to upsell subscriptions for basic features. So I made Ambi, a small iOS app with a clean interface and a set of freely available ambient sounds — rain, waves, wind, birds, that sort of thing. You can mix them, adjust volume levels, and just let it play all night or while you work. Everything works offline and there are no hidden catches. It’s something I built for myself first, but I figured others might find it useful too. Feedback, bugs, and suggestions are all welcome. https://ift.tt/ATXzOt0...
6 by alpaca121 | 0 comments on Hacker News.
I’ve always liked having background noise while working or falling asleep, but I got frustrated that most “white noise” or ambient sound apps are either paywalled, stuffed with ads, or try to upsell subscriptions for basic features. So I made Ambi, a small iOS app with a clean interface and a set of freely available ambient sounds — rain, waves, wind, birds, that sort of thing. You can mix them, adjust volume levels, and just let it play all night or while you work. Everything works offline and there are no hidden catches. It’s something I built for myself first, but I figured others might find it useful too. Feedback, bugs, and suggestions are all welcome. https://ift.tt/ATXzOt0...
Saturday, October 11, 2025
Friday, October 10, 2025
Thursday, October 9, 2025
Wednesday, October 8, 2025
Tuesday, October 7, 2025
Monday, October 6, 2025
Sunday, October 5, 2025
New top story on Hacker News: Show HN: ut – Rust based CLI utilities for devs and IT
Show HN: ut – Rust based CLI utilities for devs and IT
7 by ksdme9 | 2 comments on Hacker News.
Hey HN, I find myself reaching for tools like it-tools.tech or other random sites every now and then during development or debugging. So, I built a toolkit with a sane and simple CLI interface for most of those tools. For the curious and lazy, at the moment, ut has tools for, - Encoding: base64 (encode, decode), url (encode, decode) - Hashing: md5, sha1, sha224, sha256, sha384, sha512 - Data Generation: uuid (v1, v3, v4, v5), token, lorem, random - Text Processing: case (lower, upper, camel, title, constant, header, sentence, snake), pretty-print, diff - Development Tools: calc, json (builder), regex, datetime - Web & Network: http (status), serve, qr - Color & Design: color (convert) - Reference: unicode For full disclosure, parts of the toolkit were built with Claude Code (I wanted to use this as an opportunity to play with it more). Feel free to open feature requests and/or contribute.
7 by ksdme9 | 2 comments on Hacker News.
Hey HN, I find myself reaching for tools like it-tools.tech or other random sites every now and then during development or debugging. So, I built a toolkit with a sane and simple CLI interface for most of those tools. For the curious and lazy, at the moment, ut has tools for, - Encoding: base64 (encode, decode), url (encode, decode) - Hashing: md5, sha1, sha224, sha256, sha384, sha512 - Data Generation: uuid (v1, v3, v4, v5), token, lorem, random - Text Processing: case (lower, upper, camel, title, constant, header, sentence, snake), pretty-print, diff - Development Tools: calc, json (builder), regex, datetime - Web & Network: http (status), serve, qr - Color & Design: color (convert) - Reference: unicode For full disclosure, parts of the toolkit were built with Claude Code (I wanted to use this as an opportunity to play with it more). Feel free to open feature requests and/or contribute.
Saturday, October 4, 2025
New top story on Hacker News: Show HN: Run – a CLI universal code runner I built while learning Rust
Show HN: Run – a CLI universal code runner I built while learning Rust
11 by esubaalew | 4 comments on Hacker News.
Hi HN — I’m learning Rust and decided to build a universal CLI for running code in many languages. The tool, Run, aims to be a single, minimal dependency utility for: running one-off snippets (from CLI flags), running files, reading and executing piped stdin, and providing language-specific REPLs that you can switch between interactively. I designed it to support both interpreted languages (Python, JS, Ruby, etc.) and compiled languages (Rust, Go, C/C++). It detects languages from flags or file extensions, can compile temporary files for compiled languages, and exposes a unified REPL experience with commands like :help, :lang, and :quit. Install: cargo install run-kit (or use the platform downloads on GitHub). Source & releases: https://ift.tt/PDl9nek I used Rust while following the official learning resources and used AI to speed up development, so I expect there are bugs and rough edges. I’d love feedback on: usability and UX of the REPL, edge cases for piping input to language runtimes, security considerations (sandboxing/resource limits), packaging and cross-platform distribution. Thanks — I’ll try to answer questions and share design notes.
11 by esubaalew | 4 comments on Hacker News.
Hi HN — I’m learning Rust and decided to build a universal CLI for running code in many languages. The tool, Run, aims to be a single, minimal dependency utility for: running one-off snippets (from CLI flags), running files, reading and executing piped stdin, and providing language-specific REPLs that you can switch between interactively. I designed it to support both interpreted languages (Python, JS, Ruby, etc.) and compiled languages (Rust, Go, C/C++). It detects languages from flags or file extensions, can compile temporary files for compiled languages, and exposes a unified REPL experience with commands like :help, :lang, and :quit. Install: cargo install run-kit (or use the platform downloads on GitHub). Source & releases: https://ift.tt/PDl9nek I used Rust while following the official learning resources and used AI to speed up development, so I expect there are bugs and rough edges. I’d love feedback on: usability and UX of the REPL, edge cases for piping input to language runtimes, security considerations (sandboxing/resource limits), packaging and cross-platform distribution. Thanks — I’ll try to answer questions and share design notes.
Friday, October 3, 2025
Thursday, October 2, 2025
Wednesday, October 1, 2025
Tuesday, September 30, 2025
Monday, September 29, 2025
Sunday, September 28, 2025
Saturday, September 27, 2025
Friday, September 26, 2025
Thursday, September 25, 2025
Wednesday, September 24, 2025
Tuesday, September 23, 2025
New top story on Hacker News: Show HN: FlyCode – Recover Stripe payments by automatically using backup cards
Show HN: FlyCode – Recover Stripe payments by automatically using backup cards
10 by JakeVacovec | 25 comments on Hacker News.
We built FlyCode after seeing subscription businesses lose ~35% of recurring revenue each year to failed payments — even when customers had other valid cards on file. *The problem:* When a customer's primary card fails, Stripe retries a few times then cancels the subscription. If that customer has a backup card, it isn’t tried. At least 20% of active customers have more than one card on file, which means a lot of preventable churn. *Our solution:* FlyCode automatically identifies if a customer has other valid cards on file and retries them when a subscription payment fails. You can configure when these retries happen during the dunning period (beginning, middle, end) and define validity rules (e.g. “card was used in last 180 days”). It’s a Stripe app — no code changes needed. We've seen 18%-20% higher recovery rates from our core retry engine, plus another 5–10% from using backup cards. Importantly, there was no increase in refunds or chargebacks — in fact, rates were lower than merchant averages. Big companies like Microsoft and Amazon already do this internally; we wanted to make the same capability accessible to smaller SaaS teams. *Under the hood:* FlyCode monitors for failed invoices, checks for available backup methods via Stripe’s PaymentMethod API, and systematically retries in a way that avoids service disruption or manual workflows. We’re Jake, Etai, and Tzachi — we previously built payment recovery systems at startups and enterprises, which is how we discovered this gap. You can try it here: [ https://ift.tt/xzNwomf ] We’d love feedback from anyone dealing with subscription payment failures. What’s been your experience with involuntary churn? Have you considered leveraging backup payment methods?
10 by JakeVacovec | 25 comments on Hacker News.
We built FlyCode after seeing subscription businesses lose ~35% of recurring revenue each year to failed payments — even when customers had other valid cards on file. *The problem:* When a customer's primary card fails, Stripe retries a few times then cancels the subscription. If that customer has a backup card, it isn’t tried. At least 20% of active customers have more than one card on file, which means a lot of preventable churn. *Our solution:* FlyCode automatically identifies if a customer has other valid cards on file and retries them when a subscription payment fails. You can configure when these retries happen during the dunning period (beginning, middle, end) and define validity rules (e.g. “card was used in last 180 days”). It’s a Stripe app — no code changes needed. We've seen 18%-20% higher recovery rates from our core retry engine, plus another 5–10% from using backup cards. Importantly, there was no increase in refunds or chargebacks — in fact, rates were lower than merchant averages. Big companies like Microsoft and Amazon already do this internally; we wanted to make the same capability accessible to smaller SaaS teams. *Under the hood:* FlyCode monitors for failed invoices, checks for available backup methods via Stripe’s PaymentMethod API, and systematically retries in a way that avoids service disruption or manual workflows. We’re Jake, Etai, and Tzachi — we previously built payment recovery systems at startups and enterprises, which is how we discovered this gap. You can try it here: [ https://ift.tt/xzNwomf ] We’d love feedback from anyone dealing with subscription payment failures. What’s been your experience with involuntary churn? Have you considered leveraging backup payment methods?
Monday, September 22, 2025
Sunday, September 21, 2025
New top story on Hacker News: Lightweight, highly accurate line and paragraph detection
Lightweight, highly accurate line and paragraph detection
3 by colonCapitalDee | 0 comments on Hacker News.
3 by colonCapitalDee | 0 comments on Hacker News.
Saturday, September 20, 2025
Friday, September 19, 2025
Thursday, September 18, 2025
Wednesday, September 17, 2025
Tuesday, September 16, 2025
Monday, September 15, 2025
New top story on Hacker News: Show HN: AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers
Show HN: AI-powered web service combining FastAPI, Pydantic-AI, and MCP servers
10 by Aherontas | 2 comments on Hacker News.
Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://ift.tt/0ZYk5fR ) https://ift.tt/UAjGfrd... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers - MCP servers (Brave search, GitHub, filesystem, etc.) as tools - A2A communication between services - Minimal UI for experimentation for Tech Trend - repo analysis I built this repo because most agent frameworks look great in isolated demos, but fall apart when you try to glue agents together into a real application. My goal was to help people experiment with these patterns and move closer to real-world use cases. It’s not production-grade, but would love feedback, criticism, or war stories from anyone who’s tried building actual multi-agent systems. Big questions: Do you think agent-to-agent protocols like MCP/A2A will stick? Or will the future be mostly single powerful LLMs with plugin stacks? Thanks — excited to hear what the HN crowd thinks!
10 by Aherontas | 2 comments on Hacker News.
Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://ift.tt/0ZYk5fR ) https://ift.tt/UAjGfrd... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers - MCP servers (Brave search, GitHub, filesystem, etc.) as tools - A2A communication between services - Minimal UI for experimentation for Tech Trend - repo analysis I built this repo because most agent frameworks look great in isolated demos, but fall apart when you try to glue agents together into a real application. My goal was to help people experiment with these patterns and move closer to real-world use cases. It’s not production-grade, but would love feedback, criticism, or war stories from anyone who’s tried building actual multi-agent systems. Big questions: Do you think agent-to-agent protocols like MCP/A2A will stick? Or will the future be mostly single powerful LLMs with plugin stacks? Thanks — excited to hear what the HN crowd thinks!
Sunday, September 14, 2025
Saturday, September 13, 2025
Friday, September 12, 2025
Thursday, September 11, 2025
Wednesday, September 10, 2025
New top story on Hacker News: Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
Launch HN: Recall.ai (YC W20) – API for meeting recordings and transcripts
13 by davidgu | 3 comments on Hacker News.
Hey HN, we're David and Amanda from Recall.ai ( https://www.recall.ai ). Today we’re launching our Desktop Recording SDK, a way to get meeting data without a bot in the meeting: https://ift.tt/82ac1b0 . It’s our biggest release in quite a while so we thought we’d finally do our Launch HN :) Here’s a demo that shows it producing a transcript from a meeting, followed by examples in code: https://www.youtube.com/watch?v=4croAGGiKTA . API docs are at https://docs.recall.ai/ . Back in W20, our first product was an API that lets you send a bot participant into a meeting. This gives developers access to audio/video streams and other data in the meeting. Today, this API powers most of the meeting recording products on the market. Recently, meeting recording through a desktop form factor instead of a bot has become popular. Many products like Notion and ChatGPT have added desktop recording functionality, and LLMs have made it easier to work with unstructured transcripts. But it’s actually hard to reliably record meetings at scale with a desktop app, and most developers who want to add recording functionality don’t want to build all this infrastructure. Doing a basic recording with just the microphone and system audio is fairly straightforward since you can just use the system APIs. But it gets a lot harder when you want to capture speaker names, produce a video recording, get real-time data, or run this in production at large scale: - Capturing speaker names involves using accessibility APIs to screen-scrape the video conference window to monitor who is speaking at what time. When video conferencing platforms change their UI, we must ship a change immediately, so this keeps working. - Producing a video recording that is clean, and doesn’t capture the video conferencing platform UI involves detecting the participant tiles, cropping them out, and compositing them together into a clean video recording. - Because the desktop recording code runs on end-user machines, we need to make it as efficient as possible. This means writing highly platform-optimized code, taking advantage of hardware encoders when available, and spending a lot of time doing profiling and performance testing. Meeting recording has zero margin for failure because if anything breaks, you lose the data forever. Reliability is especially important, which dramatically increases the amount of engineering effort required. Our Desktop Recording SDK takes care of all this and lets developers build meeting recording features into their desktop apps, so they can record both video conferences and in-person meetings without a bot. We built Recall.ai because we experienced this problem ourselves. At our first startup, we built a tool for product managers that included a meeting recording feature. 70% of our engineering time was taken up by just this feature! We ended up starting Recall.ai to solve this instead. Since then, over 2000 companies use us to power their recording features, e.g. Hubspot for sales call recording, Clickup for their AI note taker. Our users are engineering teams building commercial products for financial services, telehealth, incident management, sales, interviewing, and more. We also power internal tooling for large enterprises. Running this sort of infrastructure has led to unexpected technical challenges! For example, we had to debug a 1 in 36 million segfault in our audio encoder ( https://ift.tt/G9hD4lT... ), we encountered a Postgres lock-up that only occurs when you have tens of thousands of concurrent writers ( https://ift.tt/ZbCPdpu ), and we saved over $1M a year on AWS by optimizing the way we shuffle data around between our processes ( https://ift.tt/5c8vl3h ). You can try it here: https://www.recall.ai . It's self-serve with $5 of free credits. Pricing starts at $0.70 for every hour of recording, prorated to the second. We offer volume discounts with scale. All data recorded through Recall.ai is the property of our customers, we support 0-day retention, and we don’t train models on customer data. We would love your feedback!
13 by davidgu | 3 comments on Hacker News.
Hey HN, we're David and Amanda from Recall.ai ( https://www.recall.ai ). Today we’re launching our Desktop Recording SDK, a way to get meeting data without a bot in the meeting: https://ift.tt/82ac1b0 . It’s our biggest release in quite a while so we thought we’d finally do our Launch HN :) Here’s a demo that shows it producing a transcript from a meeting, followed by examples in code: https://www.youtube.com/watch?v=4croAGGiKTA . API docs are at https://docs.recall.ai/ . Back in W20, our first product was an API that lets you send a bot participant into a meeting. This gives developers access to audio/video streams and other data in the meeting. Today, this API powers most of the meeting recording products on the market. Recently, meeting recording through a desktop form factor instead of a bot has become popular. Many products like Notion and ChatGPT have added desktop recording functionality, and LLMs have made it easier to work with unstructured transcripts. But it’s actually hard to reliably record meetings at scale with a desktop app, and most developers who want to add recording functionality don’t want to build all this infrastructure. Doing a basic recording with just the microphone and system audio is fairly straightforward since you can just use the system APIs. But it gets a lot harder when you want to capture speaker names, produce a video recording, get real-time data, or run this in production at large scale: - Capturing speaker names involves using accessibility APIs to screen-scrape the video conference window to monitor who is speaking at what time. When video conferencing platforms change their UI, we must ship a change immediately, so this keeps working. - Producing a video recording that is clean, and doesn’t capture the video conferencing platform UI involves detecting the participant tiles, cropping them out, and compositing them together into a clean video recording. - Because the desktop recording code runs on end-user machines, we need to make it as efficient as possible. This means writing highly platform-optimized code, taking advantage of hardware encoders when available, and spending a lot of time doing profiling and performance testing. Meeting recording has zero margin for failure because if anything breaks, you lose the data forever. Reliability is especially important, which dramatically increases the amount of engineering effort required. Our Desktop Recording SDK takes care of all this and lets developers build meeting recording features into their desktop apps, so they can record both video conferences and in-person meetings without a bot. We built Recall.ai because we experienced this problem ourselves. At our first startup, we built a tool for product managers that included a meeting recording feature. 70% of our engineering time was taken up by just this feature! We ended up starting Recall.ai to solve this instead. Since then, over 2000 companies use us to power their recording features, e.g. Hubspot for sales call recording, Clickup for their AI note taker. Our users are engineering teams building commercial products for financial services, telehealth, incident management, sales, interviewing, and more. We also power internal tooling for large enterprises. Running this sort of infrastructure has led to unexpected technical challenges! For example, we had to debug a 1 in 36 million segfault in our audio encoder ( https://ift.tt/G9hD4lT... ), we encountered a Postgres lock-up that only occurs when you have tens of thousands of concurrent writers ( https://ift.tt/ZbCPdpu ), and we saved over $1M a year on AWS by optimizing the way we shuffle data around between our processes ( https://ift.tt/5c8vl3h ). You can try it here: https://www.recall.ai . It's self-serve with $5 of free credits. Pricing starts at $0.70 for every hour of recording, prorated to the second. We offer volume discounts with scale. All data recorded through Recall.ai is the property of our customers, we support 0-day retention, and we don’t train models on customer data. We would love your feedback!
Tuesday, September 9, 2025
Monday, September 8, 2025
Sunday, September 7, 2025
Saturday, September 6, 2025
Friday, September 5, 2025
Thursday, September 4, 2025
New top story on Hacker News: A high schooler writes about AI tools in the classroom
A high schooler writes about AI tools in the classroom
88 by dougb5 | 74 comments on Hacker News.
https://ift.tt/TcXbSxm
88 by dougb5 | 74 comments on Hacker News.
https://ift.tt/TcXbSxm
Wednesday, September 3, 2025
New top story on Hacker News: Vector search on our codebase transformed our SDLC automation
Vector search on our codebase transformed our SDLC automation
18 by antonybrahin | 2 comments on Hacker News.
Hey HN, In software development, the process of turning a user story into detailed documentation and actionable tasks is critical. However, this manual process can often be a source of inconsistency and a significant time investment. I was driven to see if I could streamline and elevate it. I know this is a hot space, with big players like GitHub and Atlassian building integrated AI, and startups offering specialized platforms. My goal wasn't to compete with them, but to see what was possible by building a custom, "glass box" solution using the best tools for each part of the job, without being locked into a single ecosystem. What makes this approach different is the flexibility and full control. Instead of a pre-packaged product, this is a resilient workflow built on Power Automate, which acts as the orchestrator for a sequence of API calls: Five calls to the Gemini API for the core generation steps (requirements, tech spec, test strategy, etc.). One call to an Azure OpenAI model to create vector embeddings of our codebase. One call to Azure AI Search to perform the Retrieval-Augmented Generation (RAG). This was the key to getting context-aware, non-generic outputs. It reads our actual code to inform the technical spec and tasks. A bunch of direct calls to the Azure DevOps REST API (using a PAT) to create the wiki pages and work items, since the standard connectors were a bit limited. The biggest challenge was moving beyond simple prompts and engineering a resilient system. Forcing the final output into a rigid JSON schema instead of parsing text was a game-changer for reliability. The result is a system that saves us hours on every story and produces remarkably consistent, high-quality documentation and tasks. The full write-up with all the challenges, final prompts, and screenshots is in the linked blog post. I’m here to answer any questions. Would love to hear your feedback and ideas!
18 by antonybrahin | 2 comments on Hacker News.
Hey HN, In software development, the process of turning a user story into detailed documentation and actionable tasks is critical. However, this manual process can often be a source of inconsistency and a significant time investment. I was driven to see if I could streamline and elevate it. I know this is a hot space, with big players like GitHub and Atlassian building integrated AI, and startups offering specialized platforms. My goal wasn't to compete with them, but to see what was possible by building a custom, "glass box" solution using the best tools for each part of the job, without being locked into a single ecosystem. What makes this approach different is the flexibility and full control. Instead of a pre-packaged product, this is a resilient workflow built on Power Automate, which acts as the orchestrator for a sequence of API calls: Five calls to the Gemini API for the core generation steps (requirements, tech spec, test strategy, etc.). One call to an Azure OpenAI model to create vector embeddings of our codebase. One call to Azure AI Search to perform the Retrieval-Augmented Generation (RAG). This was the key to getting context-aware, non-generic outputs. It reads our actual code to inform the technical spec and tasks. A bunch of direct calls to the Azure DevOps REST API (using a PAT) to create the wiki pages and work items, since the standard connectors were a bit limited. The biggest challenge was moving beyond simple prompts and engineering a resilient system. Forcing the final output into a rigid JSON schema instead of parsing text was a game-changer for reliability. The result is a system that saves us hours on every story and produces remarkably consistent, high-quality documentation and tasks. The full write-up with all the challenges, final prompts, and screenshots is in the linked blog post. I’m here to answer any questions. Would love to hear your feedback and ideas!
Tuesday, September 2, 2025
Monday, September 1, 2025
New top story on Hacker News: Show HN: woomarks, transfer your Pocket links to this app or self-host it
Show HN: woomarks, transfer your Pocket links to this app or self-host it
9 by earlyriser | 0 comments on Hacker News.
Pocket is shutting down and I really, really liked it. So I built woomarks, an app that let's you save links with a similar UI. It's very minimal, but it's doing everything I liked from Pocket and you can bulk import your links and use the app or self-host. - Public app that you can test: https://woomarks.com/ - My self-hosted version, where you can see my saves: https://ift.tt/m9ZM5dY - Repository if you want to self-host: https://ift.tt/nMdf8s6 Export links from Pocket here: https://ift.tt/y4KiESX the last day will be on October 20025. Features: - Add/Delete links - Search - Tags - Bookmarklet (useful for a 2-click-save) - Data reads from: csv file in server (these links are public) local storage in browser (these links are visible just for the user) - Local storage saving. - Import to local storage from csv file - Export to csv from local storage. - Export to csv from csv file (useful when links are "deleted" using the app and just hidden using a local storage blacklist). - Export to csv from both places. - No external libraries. - Vanilla css code. - Vanilla js code.
9 by earlyriser | 0 comments on Hacker News.
Pocket is shutting down and I really, really liked it. So I built woomarks, an app that let's you save links with a similar UI. It's very minimal, but it's doing everything I liked from Pocket and you can bulk import your links and use the app or self-host. - Public app that you can test: https://woomarks.com/ - My self-hosted version, where you can see my saves: https://ift.tt/m9ZM5dY - Repository if you want to self-host: https://ift.tt/nMdf8s6 Export links from Pocket here: https://ift.tt/y4KiESX the last day will be on October 20025. Features: - Add/Delete links - Search - Tags - Bookmarklet (useful for a 2-click-save) - Data reads from: csv file in server (these links are public) local storage in browser (these links are visible just for the user) - Local storage saving. - Import to local storage from csv file - Export to csv from local storage. - Export to csv from csv file (useful when links are "deleted" using the app and just hidden using a local storage blacklist). - Export to csv from both places. - No external libraries. - Vanilla css code. - Vanilla js code.
Sunday, August 31, 2025
New top story on Hacker News: Show HN: Anonymous Age Verification
Show HN: Anonymous Age Verification
4 by jwally | 2 comments on Hacker News.
So I'm not an expert in this area, but here's an attempt at cost effective, anonymous, age verification flow that probably covers ~70% of use cases in the United States. The basic premise is to leverage your bank (who already has had to perform KYC on you to open an account) to attest to your age for age-restricted merchant sites (pornhub, gambling, etc) without sharing any more information than necessary. Flow works like this: 1) You go to gambling.com 2) They request you to verify your age 3) You choose "Bank Verification" 4) You trigger a WebAuthn Credential Creation flow 5) gambling.com gives you a string to copy ------------- 6) You log into your bank 7) You go to bank.com/age-verify 8) You paste in the string you were given 9) The bank verifies it/you and creates a signed payload with your age-claims (over_18: true, over_21: false) 10) You copy this and go back to gambling.com --------------- 11) You paste the string back into gambling.com 12) You perform WebAuthn Auth flow 13) gambling.com verifies everything (signatures, webauthn, etc) 14) gambling.com sets a session-cookie and _STRONGLY_ encourages you to create an account (with a pass key). This will prevent you from having to verify your age every time you visit gambling.com The mechanics might feel off, but it feels like this in the neighborhood of a way to perform anonymous age verification. This is virtually free, and requires extremely light infra. Banks can be incentivized with small payments, or offer it because everyone else does and don't want to get left behind.
4 by jwally | 2 comments on Hacker News.
So I'm not an expert in this area, but here's an attempt at cost effective, anonymous, age verification flow that probably covers ~70% of use cases in the United States. The basic premise is to leverage your bank (who already has had to perform KYC on you to open an account) to attest to your age for age-restricted merchant sites (pornhub, gambling, etc) without sharing any more information than necessary. Flow works like this: 1) You go to gambling.com 2) They request you to verify your age 3) You choose "Bank Verification" 4) You trigger a WebAuthn Credential Creation flow 5) gambling.com gives you a string to copy ------------- 6) You log into your bank 7) You go to bank.com/age-verify 8) You paste in the string you were given 9) The bank verifies it/you and creates a signed payload with your age-claims (over_18: true, over_21: false) 10) You copy this and go back to gambling.com --------------- 11) You paste the string back into gambling.com 12) You perform WebAuthn Auth flow 13) gambling.com verifies everything (signatures, webauthn, etc) 14) gambling.com sets a session-cookie and _STRONGLY_ encourages you to create an account (with a pass key). This will prevent you from having to verify your age every time you visit gambling.com The mechanics might feel off, but it feels like this in the neighborhood of a way to perform anonymous age verification. This is virtually free, and requires extremely light infra. Banks can be incentivized with small payments, or offer it because everyone else does and don't want to get left behind.
Saturday, August 30, 2025
Friday, August 29, 2025
Thursday, August 28, 2025
Wednesday, August 27, 2025
Tuesday, August 26, 2025
New top story on Hacker News: Show HN: SecretMemoryLocker – File Encryption Without Static Passwords
Show HN: SecretMemoryLocker – File Encryption Without Static Passwords
7 by YuriiDev | 0 comments on Hacker News.
I built SecretMemoryLocker ( https://ift.tt/3K57sAi ), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk. Why? I kept losing master passwords and wanted a solution that wasn't tied to a single point of failure. I also wanted to create a "digital legacy" that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers. Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian. Key Features: * No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly. * Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata. * Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched. * Offline AI Generation Mode: Optional offline Q&A generator (prototype). How It Works (Simplified): 1) Files are packed into an AES-256 encrypted ZIP archive. 2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file's hash. This forces you to answer them sequentially. 3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this: K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.) To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip To decrypt, you need both files and the correct answers. Install & Quick Start: Download the EXE from GitHub Releases (no dependencies needed): https://ift.tt/cy2ZRuK Encrypt: SecretMemoryLocker.exe --encrypt "C:\docs\important.pdf" Decrypt: SecretMemoryLocker.exe --decrypt "C:\docs\important_SMLkey.json" I would love to get your feedback on the concept, the user experience, and any security assumptions I've made. Thanks!
7 by YuriiDev | 0 comments on Hacker News.
I built SecretMemoryLocker ( https://ift.tt/3K57sAi ), a file encryption tool that generates keys dynamically from your answers to personal questions instead of using a static master password. This makes offline brute-force attacks much more difficult. Think of it as a password manager that meets mnemonic seed recovery, but without storing any sensitive keys on disk. Why? I kept losing master passwords and wanted a solution that wasn't tied to a single point of failure. I also wanted to create a "digital legacy" that my family could access only under specific conditions. The core principle is knowledge-based encryption: the key only exists in memory when you provide the correct answers. Status: * MVP is ready for Windows (.exe). * Linux and macOS support is planned. * UI is available in English, Spanish, and Ukrainian. Key Features: * No Static Secrets: No master password or seed phrase is ever stored. The key is reconstructed on the fly. * Knowledge-Based Key Generation: The final encryption key is derived from a combination of your personal answers and file metadata. * Offline Brute-Force Resistance: Uses MirageLoop, a decoy system that activates when incorrect answers are entered. Instead of decrypting real data, it generates an endless sequence of AI-created questions from a secure local database, creating an illusion of progress while keeping your real data untouched. * Offline AI Generation Mode: Optional offline Q&A generator (prototype). How It Works (Simplified): 1) Files are packed into an AES-256 encrypted ZIP archive. 2) A JSON key file stores the questions in an encrypted chain. Each subsequent question is encrypted with a key derived from the previous correct answer and the file's hash. This forces you to answer them sequentially. 3) The final encryption key for the ZIP file is derived by combining the hashes of all your correct answers. The key derivation formula looks like this: K_final = SHA256(H(answer1+file_hash) + H(answer2+file_hash) + ...) (Note: We are aware that a fast hash like SHA256 is not ideal for a KDF. We plan to migrate to Argon2 in a future release to further strengthen resistance against brute-force attacks.) To encrypt, you provide a file. This creates two outputs: your_file.txt → your_file_SMLkey.json + your_file_SecretML.zip To decrypt, you need both files and the correct answers. Install & Quick Start: Download the EXE from GitHub Releases (no dependencies needed): https://ift.tt/cy2ZRuK Encrypt: SecretMemoryLocker.exe --encrypt "C:\docs\important.pdf" Decrypt: SecretMemoryLocker.exe --decrypt "C:\docs\important_SMLkey.json" I would love to get your feedback on the concept, the user experience, and any security assumptions I've made. Thanks!
Monday, August 25, 2025
Sunday, August 24, 2025
Saturday, August 23, 2025
Friday, August 22, 2025
Thursday, August 21, 2025
New top story on Hacker News: Show HN: Tool shows UK properties matching group commute/time preferences
Show HN: Tool shows UK properties matching group commute/time preferences
5 by fryingdan | 3 comments on Hacker News.
I came up with this idea when I was looking to move to London with a friend. I quickly learned how frustrating it is to trial-and-error housing options for days on end, just to be denied after days of searching due to some grotesque counteroffer. To add to this, finding properties that meet the budgets, commuting preferences and work locations of everyone in a group is a Sisyphean task - it often ends in failure, with somebody exceeding their original budget or somebody dropping out. To solve this I built a tool ( https://closemove.com/ ) that: - lets you enter between 1-6 people’s workplaces, budgets, and maximum commute times - filters public rental listings and only shows the ones that satisfy everyone’s constraints - shows results in either a list or map view No sign-up/validation required at present. Currently UK only, but please let me know if you'd want me to expand this to your city/country. This currently works best in London (with walking, cycling, driving and public transport links connected), and works decently in the rest of the UK (walking, cycling, driving only). This started as a side project and it still needs improvement. I’d appreciate any feedback!
5 by fryingdan | 3 comments on Hacker News.
I came up with this idea when I was looking to move to London with a friend. I quickly learned how frustrating it is to trial-and-error housing options for days on end, just to be denied after days of searching due to some grotesque counteroffer. To add to this, finding properties that meet the budgets, commuting preferences and work locations of everyone in a group is a Sisyphean task - it often ends in failure, with somebody exceeding their original budget or somebody dropping out. To solve this I built a tool ( https://closemove.com/ ) that: - lets you enter between 1-6 people’s workplaces, budgets, and maximum commute times - filters public rental listings and only shows the ones that satisfy everyone’s constraints - shows results in either a list or map view No sign-up/validation required at present. Currently UK only, but please let me know if you'd want me to expand this to your city/country. This currently works best in London (with walking, cycling, driving and public transport links connected), and works decently in the rest of the UK (walking, cycling, driving only). This started as a side project and it still needs improvement. I’d appreciate any feedback!
Wednesday, August 20, 2025
Tuesday, August 19, 2025
Monday, August 18, 2025
Sunday, August 17, 2025
New top story on Hacker News: Show HN: NextDNS Adds "Bypass Age Verification"
Show HN: NextDNS Adds "Bypass Age Verification"
20 by nextdns | 3 comments on Hacker News.
We just shipped a new feature in NextDNS: Bypass Age Verification. More and more sites (especially adult ones) are now forcing users to upload IDs or selfies to continue. We think that’s a terrible idea: handing over government documents to random sites is a huge privacy risk. This new setting workarounds those verification flows via DNS tricks. It’s available today to all users, including free accounts. We’re curious how the HN community feels about this. Is it the right way to protect privacy online, or will it just provoke regulators to push harder? https://nextdns.io
20 by nextdns | 3 comments on Hacker News.
We just shipped a new feature in NextDNS: Bypass Age Verification. More and more sites (especially adult ones) are now forcing users to upload IDs or selfies to continue. We think that’s a terrible idea: handing over government documents to random sites is a huge privacy risk. This new setting workarounds those verification flows via DNS tricks. It’s available today to all users, including free accounts. We’re curious how the HN community feels about this. Is it the right way to protect privacy online, or will it just provoke regulators to push harder? https://nextdns.io
Saturday, August 16, 2025
Friday, August 15, 2025
Thursday, August 14, 2025
Wednesday, August 13, 2025
Tuesday, August 12, 2025
Monday, August 11, 2025
New top story on Hacker News: Show HN: Play Pokémon to unlock your Wayland session
Show HN: Play Pokémon to unlock your Wayland session
3 by anajimi | 2 comments on Hacker News.
Hello everyone! I've created a gameboy emulator to unlock my Wayland session and wanted to share this project to everyone here! I've been a Linux enthusiast since I was a kid. What always captivated me was the freedom to customize my system exactly the way I wanted. With Wayland, we've reached an incredible level of performance. It's like turning your operating system into a video game! I've always been fascinated by the blend of fun and the serious, technical nature of an OS. That’s what inspired me to create this project. I started by studying Wayland, its protocol and how to build a compositor. Then I became particularly intrigued by the concept of a locker, which reminded me a bit of an escape game. That’s when I thought: how cool would it be to solve a puzzle to unlock your session, instead of just typing a password? Since I’ve worked with emulators in the past and I’m a huge Pokémon fan, the idea of building the puzzle around that game came to me instantly! Technically, the locker code and the wayland protocol have been implemented from scratch ( using EGL and wl_keyboard_listeners ). My locker runs a version of the gbcc emulator modded by myself. This emulator waits for one precise value to be set in a given memory address. I have modded the Pokémon game to my needs: when the password is good, I put the good value in the good memory address so the emulator knows it needs to unlock the session. Hope you will appreciate this project!
3 by anajimi | 2 comments on Hacker News.
Hello everyone! I've created a gameboy emulator to unlock my Wayland session and wanted to share this project to everyone here! I've been a Linux enthusiast since I was a kid. What always captivated me was the freedom to customize my system exactly the way I wanted. With Wayland, we've reached an incredible level of performance. It's like turning your operating system into a video game! I've always been fascinated by the blend of fun and the serious, technical nature of an OS. That’s what inspired me to create this project. I started by studying Wayland, its protocol and how to build a compositor. Then I became particularly intrigued by the concept of a locker, which reminded me a bit of an escape game. That’s when I thought: how cool would it be to solve a puzzle to unlock your session, instead of just typing a password? Since I’ve worked with emulators in the past and I’m a huge Pokémon fan, the idea of building the puzzle around that game came to me instantly! Technically, the locker code and the wayland protocol have been implemented from scratch ( using EGL and wl_keyboard_listeners ). My locker runs a version of the gbcc emulator modded by myself. This emulator waits for one precise value to be set in a given memory address. I have modded the Pokémon game to my needs: when the password is good, I put the good value in the good memory address so the emulator knows it needs to unlock the session. Hope you will appreciate this project!
Sunday, August 10, 2025
Saturday, August 9, 2025
Friday, August 8, 2025
Thursday, August 7, 2025
New top story on Hacker News: GPT-5: Key characteristics, pricing and system card
GPT-5: Key characteristics, pricing and system card
107 by Philpax | 28 comments on Hacker News.
System card: https://ift.tt/SnPKQUH...
107 by Philpax | 28 comments on Hacker News.
System card: https://ift.tt/SnPKQUH...
Wednesday, August 6, 2025
Tuesday, August 5, 2025
Monday, August 4, 2025
Sunday, August 3, 2025
Saturday, August 2, 2025
Friday, August 1, 2025
New top story on Hacker News: Show HN: TraceRoot – Open-source agentic debugging for distributed services
Show HN: TraceRoot – Open-source agentic debugging for distributed services
10 by xinweihe | 0 comments on Hacker News.
Hey Xinwei and Zecheng here, we are the authors of TraceRoot ( https://ift.tt/0intYSb ). TraceRoot ( https://traceroot.ai ) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents. At the heart are our lightweight Python ( https://ift.tt/s07MzWj ) and TypeScript ( https://ift.tt/LOFJDxj ) SDKs - they can hook into your app using OpenTelemetry and captures logs and traces. These are either sent to a local Jaeger ( https://ift.tt/PIspe6o ) + SQLite backend or to our cloud backend, where we correlate them into a single view. From there, our custom agent takes over. The agent builds a heterogeneous execution tree that merges spans, logs, and GitHub context into one internal structure. This allows it to model the control and data flow of a request across services. It then uses LLMs to reason over this tree - pruning irrelevant branches, surfacing anomalous spans, and identifying likely root causes. You can ask questions like “what caused this timeout?” or “summarize the errors in these 3 spans”, and it can trace the failure back to a specific commit, summarize the chain of events, or even propose a fix via a draft PR. We also built a debugging UI that ties everything together - you explore traces visually, pick spans of interest, and get AI-assisted insights with full context: logs, timings, metadata, and surrounding code. Unlike most tools, TraceRoot stores long-term debugging history and builds structured context for each company - something we haven’t seen many others do in this space. What’s live today: - Python and TypeScript SDKs for structured logs and traces. - AI summaries, GitHub issue generation, and PR creation. - Debugging UI that ties everything together TraceRoot is MIT licensed and easy to self-host (via Docker). We support both local mode (Jaeger + SQLite) and cloud mode. Inspired by OSS projects like PostHog and Supabase - core is free, enterprise features like agent mode multi-tenant and slack integration are paid. If you find it interesting, you can see a demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM We’d love you to try TraceRoot ( https://traceroot.ai ) and share any feedback. If you're interested, our code is available here: https://ift.tt/0intYSb . If we don’t have something, let us know and we’d be happy to build it for you. We look forward to your comments!
10 by xinweihe | 0 comments on Hacker News.
Hey Xinwei and Zecheng here, we are the authors of TraceRoot ( https://ift.tt/0intYSb ). TraceRoot ( https://traceroot.ai ) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents. At the heart are our lightweight Python ( https://ift.tt/s07MzWj ) and TypeScript ( https://ift.tt/LOFJDxj ) SDKs - they can hook into your app using OpenTelemetry and captures logs and traces. These are either sent to a local Jaeger ( https://ift.tt/PIspe6o ) + SQLite backend or to our cloud backend, where we correlate them into a single view. From there, our custom agent takes over. The agent builds a heterogeneous execution tree that merges spans, logs, and GitHub context into one internal structure. This allows it to model the control and data flow of a request across services. It then uses LLMs to reason over this tree - pruning irrelevant branches, surfacing anomalous spans, and identifying likely root causes. You can ask questions like “what caused this timeout?” or “summarize the errors in these 3 spans”, and it can trace the failure back to a specific commit, summarize the chain of events, or even propose a fix via a draft PR. We also built a debugging UI that ties everything together - you explore traces visually, pick spans of interest, and get AI-assisted insights with full context: logs, timings, metadata, and surrounding code. Unlike most tools, TraceRoot stores long-term debugging history and builds structured context for each company - something we haven’t seen many others do in this space. What’s live today: - Python and TypeScript SDKs for structured logs and traces. - AI summaries, GitHub issue generation, and PR creation. - Debugging UI that ties everything together TraceRoot is MIT licensed and easy to self-host (via Docker). We support both local mode (Jaeger + SQLite) and cloud mode. Inspired by OSS projects like PostHog and Supabase - core is free, enterprise features like agent mode multi-tenant and slack integration are paid. If you find it interesting, you can see a demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM We’d love you to try TraceRoot ( https://traceroot.ai ) and share any feedback. If you're interested, our code is available here: https://ift.tt/0intYSb . If we don’t have something, let us know and we’d be happy to build it for you. We look forward to your comments!
Thursday, July 31, 2025
New top story on Hacker News: Show HN: Sourcebot – Self-hosted Perplexity for your codebase
Show HN: Sourcebot – Self-hosted Perplexity for your codebase
14 by bshzzle | 1 comments on Hacker News.
Hi HN, We’re Brendan and Michael, the creators of Sourcebot ( https://ift.tt/aACFRoB ), a self-hosted code understanding tool for large codebases. We originally launched on HN 9 months ago with code search ( https://ift.tt/rvWYhQF ), and we’re excited to share our newest feature: Ask Sourcebot. Ask Sourcebot is an agentic search tool that lets you ask complex questions about your entire codebase in natural language, and returns a structured response with inline citations back to your code. Some types of questions you might ask: - “How does authentication work in this codebase? What library is being used? What providers can a user log in with?” ( https://ift.tt/G4BgALK ) - “When should I use channels vs. mutexes in go? Find real usages of both and include them in your answer” ( https://ift.tt/qIgYBu0 ) - “How are shards laid out in memory in the Zoekt code search engine?” ( https://ift.tt/N2K3gkM ) - "How do I call C from Rust?" ( https://ift.tt/MrYvzHy ) You can try it yourself here on our demo site ( https://ift.tt/tDUsZ0F ) or checkout our demo video ( https://youtu.be/olc2lyUeB-Q ). How is this any different from existing tools like Cursor or Claude code? - Sourcebot solely focuses on code understanding . We believe that, more than ever, the main bottleneck development teams face is not writing code, it’s acquiring the necessary context to make quality changes that are cohesive within the wider codebase. This is true regardless if the author is a human or an LLM. - As opposed to being in your IDE or terminal, Sourcebot is a web app. This allows us to play to the strengths of the web: rich UX and ubiquitous access. We put a ton of work into taking the best parts of IDEs (code navigation, file explorer, syntax highlighting) and packaging them with a custom UX (rich Markdown rendering, inline citations, @ mentions) that is easily shareable between team members. - Sourcebot can maintain an up-to date index of thousands of repos hosted on GitHub, GitLab, Bitbucket, Gerrit, and other hosts. This allows you to ask questions about repositories without checking them out locally. This is especially helpful when ramping up on unfamiliar parts of the codebase or working with systems that are typically spread across multiple repositories, e.g., micro services. - You can BYOK (Bring Your Own API Key) to any supported reasoning model. We currently support 11 different model providers (like Amazon Bedrock and Google Vertex), and plan to add more. - Sourcebot is self-hosted, fair source, and free to use. Under the hood, we expose our existing regular expression search, code navigation, and file reading APIs to a LLM as tool calls. We instruct the LLM via a system prompt to gather the necessary context via these tools to sufficiently answer the users question, and then to provide a concise, structured response. This includes inline citations, which are just structured data that the LLM can embed into it’s response and can then be identified on the client and rendered appropriately. We built this on some amazing libraries like the Vercel AI SDK v5, CodeMirror, react-markdown, and Slate.js, among others. This architecture is intentionally simple. We decided not to introduce any additional techniques like vector embeddings, multi-agent graphs, etc. since we wanted to push the limits of what we could do with what we had on hand. We plan on revisiting our approach as we get user feedback on what works (and what doesn’t). We are really excited about pushing the envelope of code understanding. Give it a try: https://ift.tt/AmIv0zN . Cheers!
14 by bshzzle | 1 comments on Hacker News.
Hi HN, We’re Brendan and Michael, the creators of Sourcebot ( https://ift.tt/aACFRoB ), a self-hosted code understanding tool for large codebases. We originally launched on HN 9 months ago with code search ( https://ift.tt/rvWYhQF ), and we’re excited to share our newest feature: Ask Sourcebot. Ask Sourcebot is an agentic search tool that lets you ask complex questions about your entire codebase in natural language, and returns a structured response with inline citations back to your code. Some types of questions you might ask: - “How does authentication work in this codebase? What library is being used? What providers can a user log in with?” ( https://ift.tt/G4BgALK ) - “When should I use channels vs. mutexes in go? Find real usages of both and include them in your answer” ( https://ift.tt/qIgYBu0 ) - “How are shards laid out in memory in the Zoekt code search engine?” ( https://ift.tt/N2K3gkM ) - "How do I call C from Rust?" ( https://ift.tt/MrYvzHy ) You can try it yourself here on our demo site ( https://ift.tt/tDUsZ0F ) or checkout our demo video ( https://youtu.be/olc2lyUeB-Q ). How is this any different from existing tools like Cursor or Claude code? - Sourcebot solely focuses on code understanding . We believe that, more than ever, the main bottleneck development teams face is not writing code, it’s acquiring the necessary context to make quality changes that are cohesive within the wider codebase. This is true regardless if the author is a human or an LLM. - As opposed to being in your IDE or terminal, Sourcebot is a web app. This allows us to play to the strengths of the web: rich UX and ubiquitous access. We put a ton of work into taking the best parts of IDEs (code navigation, file explorer, syntax highlighting) and packaging them with a custom UX (rich Markdown rendering, inline citations, @ mentions) that is easily shareable between team members. - Sourcebot can maintain an up-to date index of thousands of repos hosted on GitHub, GitLab, Bitbucket, Gerrit, and other hosts. This allows you to ask questions about repositories without checking them out locally. This is especially helpful when ramping up on unfamiliar parts of the codebase or working with systems that are typically spread across multiple repositories, e.g., micro services. - You can BYOK (Bring Your Own API Key) to any supported reasoning model. We currently support 11 different model providers (like Amazon Bedrock and Google Vertex), and plan to add more. - Sourcebot is self-hosted, fair source, and free to use. Under the hood, we expose our existing regular expression search, code navigation, and file reading APIs to a LLM as tool calls. We instruct the LLM via a system prompt to gather the necessary context via these tools to sufficiently answer the users question, and then to provide a concise, structured response. This includes inline citations, which are just structured data that the LLM can embed into it’s response and can then be identified on the client and rendered appropriately. We built this on some amazing libraries like the Vercel AI SDK v5, CodeMirror, react-markdown, and Slate.js, among others. This architecture is intentionally simple. We decided not to introduce any additional techniques like vector embeddings, multi-agent graphs, etc. since we wanted to push the limits of what we could do with what we had on hand. We plan on revisiting our approach as we get user feedback on what works (and what doesn’t). We are really excited about pushing the envelope of code understanding. Give it a try: https://ift.tt/AmIv0zN . Cheers!
Wednesday, July 30, 2025
Tuesday, July 29, 2025
Monday, July 28, 2025
Sunday, July 27, 2025
New top story on Hacker News: Ask HN: What are you working on? (July 2025)
Ask HN: What are you working on? (July 2025)
46 by david927 | 111 comments on Hacker News.
What are you working on? Do you have any new ideas you're thinking about?
46 by david927 | 111 comments on Hacker News.
What are you working on? Do you have any new ideas you're thinking about?
Saturday, July 26, 2025
Friday, July 25, 2025
Thursday, July 24, 2025
New top story on Hacker News: Show HN: A code editor that integrates into the browser
Show HN: A code editor that integrates into the browser
6 by quintu5 | 0 comments on Hacker News.
When the startup I was working for shut down, I knew it would probably be a while before my health allowed me to commit to a new role, so I decided to start working on some personal projects to keep my mind active and engaged. With AI-augmented VS Code forks being all the rage at the time, I wanted to take a slightly different angle on a code editor/viewer using the same core technology. That led me to building Tachi Code, a Monaco-based code editor that integrates directly into your browser as an extension to streamline your more ephemeral coding tasks, so you can spend less time switching between your code editor and browser. The original flow that piqued my interest was viewing raw source files or API responses. Historically, I've used a JSON formatter extension to prettify JSON, but I wanted something more powerful, more universal, and quite frankly, something that looked better, so I built Tachi Code with the ability to detect when you're viewing pre-formatted text and inject itself into the page, so it's always beautifully syntax highlighted, foldable, and regex searchable. Then I added context menu integrations, so you could quickly edit snippets, compare text, or view the current page's source in Tachi Code's editor. The browser extension works offline with the only external HTTP requests going to GitHub to retrieve JSON Schemas or additional themes. All user data stays local. The only tracking is CloudFlare's web analytics beacon on TachiCode.dev (not present in the browser extension or in the EU). TachiCode.dev is a sandbox environment that serves the latest commit of Tachi Code's editor hosted on CloudFlare Pages. The core stack is: - React 19 - Monaco Editor - Radix UI - Zustand - Shiki - WXT (full SBOM is available via the about dialog if you want to dig deeper) Monaco Editor provides the code and diff editors, as well as low level systems for configuration and theming. There's a lot of hackery involved in surfacing those systems and integrating them into the larger React app. Shiki is used to provide more complete syntax highlighting than Monaco Editor provides out of the box. The rest of the UI is primarily based on Radix UI components, typically starting from a shadcn template and then reworked to use colors provided by the theme system. Zustand is my go-to for any kind of shared/persistent state. WXT just turns browser extension development and publishing into a breeze. If you've got any feedback or a question about how the app was developed, I'd love to hear it!
6 by quintu5 | 0 comments on Hacker News.
When the startup I was working for shut down, I knew it would probably be a while before my health allowed me to commit to a new role, so I decided to start working on some personal projects to keep my mind active and engaged. With AI-augmented VS Code forks being all the rage at the time, I wanted to take a slightly different angle on a code editor/viewer using the same core technology. That led me to building Tachi Code, a Monaco-based code editor that integrates directly into your browser as an extension to streamline your more ephemeral coding tasks, so you can spend less time switching between your code editor and browser. The original flow that piqued my interest was viewing raw source files or API responses. Historically, I've used a JSON formatter extension to prettify JSON, but I wanted something more powerful, more universal, and quite frankly, something that looked better, so I built Tachi Code with the ability to detect when you're viewing pre-formatted text and inject itself into the page, so it's always beautifully syntax highlighted, foldable, and regex searchable. Then I added context menu integrations, so you could quickly edit snippets, compare text, or view the current page's source in Tachi Code's editor. The browser extension works offline with the only external HTTP requests going to GitHub to retrieve JSON Schemas or additional themes. All user data stays local. The only tracking is CloudFlare's web analytics beacon on TachiCode.dev (not present in the browser extension or in the EU). TachiCode.dev is a sandbox environment that serves the latest commit of Tachi Code's editor hosted on CloudFlare Pages. The core stack is: - React 19 - Monaco Editor - Radix UI - Zustand - Shiki - WXT (full SBOM is available via the about dialog if you want to dig deeper) Monaco Editor provides the code and diff editors, as well as low level systems for configuration and theming. There's a lot of hackery involved in surfacing those systems and integrating them into the larger React app. Shiki is used to provide more complete syntax highlighting than Monaco Editor provides out of the box. The rest of the UI is primarily based on Radix UI components, typically starting from a shadcn template and then reworked to use colors provided by the theme system. Zustand is my go-to for any kind of shared/persistent state. WXT just turns browser extension development and publishing into a breeze. If you've got any feedback or a question about how the app was developed, I'd love to hear it!
Wednesday, July 23, 2025
Tuesday, July 22, 2025
New top story on Hacker News: Show HN: Any-LLM – lightweight and open-source router to access any LLM Provider
Show HN: Any-LLM – lightweight and open-source router to access any LLM Provider
27 by AMeckes | 11 comments on Hacker News.
We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
27 by AMeckes | 11 comments on Hacker News.
We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai/gpt-4" to "anthropic/claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!
Monday, July 21, 2025
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New top story on Hacker News: Show HN: RULER – Easily apply RL to any agent
Show HN: RULER – Easily apply RL to any agent
2 by kcorbitt | 0 comments on Hacker News.
Hey HN, Kyle here, one of the co-founders of OpenPipe. Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement. One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate. RULER is a drop-in reward function that works across different tasks without any of that complexity. It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!). We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://ift.tt/JqXsny3 Repo: https://ift.tt/Ktp08kA
2 by kcorbitt | 0 comments on Hacker News.
Hey HN, Kyle here, one of the co-founders of OpenPipe. Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement. One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate. RULER is a drop-in reward function that works across different tasks without any of that complexity. It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!). We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://ift.tt/JqXsny3 Repo: https://ift.tt/Ktp08kA
Thursday, July 10, 2025
Wednesday, July 9, 2025
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Monday, July 7, 2025
New top story on Hacker News: Show HN: I Got Tired of Calculator Sites, So I Built My Own
Show HN: I Got Tired of Calculator Sites, So I Built My Own
8 by calculatehow | 7 comments on Hacker News.
I’ve always found that online calculators tend to have bad UIs, especially on mobile. Most of the calculator websites I’ve come across use outdated and inconvenient ways of inputting data, or they format the results in confusing ways. I’ve noticed that fraction calculators (especially mixed fractions) are terrible to use, even on desktop. I haven’t built one of those yet, but it’s something I’m planning to tackle soon. This is a project I’ve always wanted to work on, but I’m relatively new to this space. So far, I’ve created a collection of simple calculators focused on math and finance. I’d really appreciate any feedback on the UI/UX or anything else you think could be improved. You can try it here: https://ift.tt/Qxw0Ujy
8 by calculatehow | 7 comments on Hacker News.
I’ve always found that online calculators tend to have bad UIs, especially on mobile. Most of the calculator websites I’ve come across use outdated and inconvenient ways of inputting data, or they format the results in confusing ways. I’ve noticed that fraction calculators (especially mixed fractions) are terrible to use, even on desktop. I haven’t built one of those yet, but it’s something I’m planning to tackle soon. This is a project I’ve always wanted to work on, but I’m relatively new to this space. So far, I’ve created a collection of simple calculators focused on math and finance. I’d really appreciate any feedback on the UI/UX or anything else you think could be improved. You can try it here: https://ift.tt/Qxw0Ujy
Sunday, July 6, 2025
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Sunday, June 29, 2025
New top story on Hacker News: Show HN: Sharpe Ratio Calculation Tool
Show HN: Sharpe Ratio Calculation Tool
5 by navquant | 0 comments on Hacker News.
I built a simple but effective Sharpe Ratio calculator that gives the full historical variation of it. Should I add other rations like Calmar and Sortino?
5 by navquant | 0 comments on Hacker News.
I built a simple but effective Sharpe Ratio calculator that gives the full historical variation of it. Should I add other rations like Calmar and Sortino?
Saturday, June 28, 2025
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Thursday, June 26, 2025
Wednesday, June 25, 2025
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New top story on Hacker News: Show HN: Trieve CLI – Terminal-Based LLM Agent Loop with Search Tool for PDFs
Show HN: Trieve CLI – Terminal-Based LLM Agent Loop with Search Tool for PDFs
13 by skeptrune | 0 comments on Hacker News.
Hi HN, I built a CLI for uploading documents and querying them with an LLM agent that uses search tools rather than stuffing everything into the context window. I recorded a demo using the CrossFit 2025 rulebook that shows how this approach compares to traditional RAG and direct context injection[1]. The core insight is that LLMs running in loops with tool access are unreasonably effective at this kind of knowledge retrieval task[2]. Instead of hoping the right chunks make it into your context, the agent can iteratively search, refine queries, and reason about what it finds. The CLI handles the full workflow: ```bash trieve upload ./document.pdf trieve ask "What are the key findings?" ``` You can customize the RAG behavior, check upload status, and the responses stream back with expandable source references. I really enjoy having this workflow available in the terminal and I'm curious if others find this paradigm as compelling as I do. Considering adding more commands and customization options if there's interest. The tool is free for up to 1k document chunks. Source code is on GitHub[3] and available via npm[4]. Would love any feedback on the approach or CLI design! [1]: https://www.youtube.com/watch?v=SAV-esDsRUk [2]: https://ift.tt/V5eD2Qt [3]: https://ift.tt/ohdI9mU... [4]: https://ift.tt/6cKhDEM
13 by skeptrune | 0 comments on Hacker News.
Hi HN, I built a CLI for uploading documents and querying them with an LLM agent that uses search tools rather than stuffing everything into the context window. I recorded a demo using the CrossFit 2025 rulebook that shows how this approach compares to traditional RAG and direct context injection[1]. The core insight is that LLMs running in loops with tool access are unreasonably effective at this kind of knowledge retrieval task[2]. Instead of hoping the right chunks make it into your context, the agent can iteratively search, refine queries, and reason about what it finds. The CLI handles the full workflow: ```bash trieve upload ./document.pdf trieve ask "What are the key findings?" ``` You can customize the RAG behavior, check upload status, and the responses stream back with expandable source references. I really enjoy having this workflow available in the terminal and I'm curious if others find this paradigm as compelling as I do. Considering adding more commands and customization options if there's interest. The tool is free for up to 1k document chunks. Source code is on GitHub[3] and available via npm[4]. Would love any feedback on the approach or CLI design! [1]: https://www.youtube.com/watch?v=SAV-esDsRUk [2]: https://ift.tt/V5eD2Qt [3]: https://ift.tt/ohdI9mU... [4]: https://ift.tt/6cKhDEM
Sunday, June 15, 2025
New top story on Hacker News: Show HN: I'm a student built an AI to chat with YouTube videos
Show HN: I'm a student built an AI to chat with YouTube videos
12 by adrinant | 4 comments on Hacker News.
Wiyomi.com, YouTube + AI = Personal Tutor for Every Learner. Please leave feedbacks so this tool is getting better and fruitful for you!
12 by adrinant | 4 comments on Hacker News.
Wiyomi.com, YouTube + AI = Personal Tutor for Every Learner. Please leave feedbacks so this tool is getting better and fruitful for you!
Saturday, June 14, 2025
Friday, June 13, 2025
Thursday, June 12, 2025
Wednesday, June 11, 2025
Tuesday, June 10, 2025
New top story on Hacker News: Ask HN: What cool skill or project interests you, but feels out of reach?
Ask HN: What cool skill or project interests you, but feels out of reach?
4 by akktor | 4 comments on Hacker News.
This question's for all those cool projects or skills you're secretly fascinated by, but haven't quite jumped into. Maybe you feel like you just don't have the right "brain" for it, or you're not smart enough to figure it out, or even worse, you simply have no clue how or where to even start. The idea here is to shine a light on these hidden interests and the little (or big!) mental blocks that come with them. If you're already rocking in those specific areas – or you've been there and figured out how to get past similar hurdles – please chime in! Share some helpful resources, dish out general advice, or just give a nudge of encouragement on how to take that intimidating first step. Let's help each other get unstuck!
4 by akktor | 4 comments on Hacker News.
This question's for all those cool projects or skills you're secretly fascinated by, but haven't quite jumped into. Maybe you feel like you just don't have the right "brain" for it, or you're not smart enough to figure it out, or even worse, you simply have no clue how or where to even start. The idea here is to shine a light on these hidden interests and the little (or big!) mental blocks that come with them. If you're already rocking in those specific areas – or you've been there and figured out how to get past similar hurdles – please chime in! Share some helpful resources, dish out general advice, or just give a nudge of encouragement on how to take that intimidating first step. Let's help each other get unstuck!
Monday, June 9, 2025
New top story on Hacker News: Show HN: Munal OS: a graphical experimental OS with WASM sandboxing
Show HN: Munal OS: a graphical experimental OS with WASM sandboxing
38 by Gazoche | 5 comments on Hacker News.
Hello HN! Showing off the first version of Munal OS, an experimental operating system I have been writing in Rust on and off for the past few years. https://ift.tt/XNi41eI It's an unikernel design that is compiled as a single EFI binary and does not use virtual address spaces for process isolation. Instead, applications are compiled to WASM and run inside of an embedded WASM engine. Other features: * Fully graphical interface in HD resolution with mouse and keyboard support * Desktop shell with window manager and contextual radial menus * PCI and VirtIO drivers * Ethernet and TCP stack * Customizable UI toolkit providing various widgets, responsive layouts and flexible text rendering * Embedded selection of applications including: * A web browser supporting DNS, HTTPS and very basic HTML * A text editor * A Python terminal Checkout the README for the technical breakdown. Demo video: https://ift.tt/kjph7wS
38 by Gazoche | 5 comments on Hacker News.
Hello HN! Showing off the first version of Munal OS, an experimental operating system I have been writing in Rust on and off for the past few years. https://ift.tt/XNi41eI It's an unikernel design that is compiled as a single EFI binary and does not use virtual address spaces for process isolation. Instead, applications are compiled to WASM and run inside of an embedded WASM engine. Other features: * Fully graphical interface in HD resolution with mouse and keyboard support * Desktop shell with window manager and contextual radial menus * PCI and VirtIO drivers * Ethernet and TCP stack * Customizable UI toolkit providing various widgets, responsive layouts and flexible text rendering * Embedded selection of applications including: * A web browser supporting DNS, HTTPS and very basic HTML * A text editor * A Python terminal Checkout the README for the technical breakdown. Demo video: https://ift.tt/kjph7wS
Sunday, June 8, 2025
New top story on Hacker News: Abstract visual reasoning based on algebraic methods
Abstract visual reasoning based on algebraic methods
9 by bryanrasmussen | 3 comments on Hacker News.
9 by bryanrasmussen | 3 comments on Hacker News.
Saturday, June 7, 2025
Friday, June 6, 2025
Thursday, June 5, 2025
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Tuesday, June 3, 2025
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