Tuesday, 28 July 2026
Monday, 27 July 2026
Sunday, 26 July 2026
Saturday, 25 July 2026
New top story on Hacker News: Show HN: I made some transistor animations
Show HN: I made some transistor animations
27 by stunningllama | 2 comments on Hacker News.
Hi HN, I made some animations of the most important kinds of transistors using my semiconductor simulation, details of which are on the page. I tried to make the visuals as realistic as possible while also aiming for clarity. If you want to go beyond the charge carriers and look at, for example, the electric field, you can do so in the simulation software. The desktop software also has less common devices like IBGTs and SCRs that have similar animations. The last thread about my software was posted here about a year ago: https://ift.tt/tTBUm2O
27 by stunningllama | 2 comments on Hacker News.
Hi HN, I made some animations of the most important kinds of transistors using my semiconductor simulation, details of which are on the page. I tried to make the visuals as realistic as possible while also aiming for clarity. If you want to go beyond the charge carriers and look at, for example, the electric field, you can do so in the simulation software. The desktop software also has less common devices like IBGTs and SCRs that have similar animations. The last thread about my software was posted here about a year ago: https://ift.tt/tTBUm2O
Friday, 24 July 2026
Thursday, 23 July 2026
New top story on Hacker News: Show HN: Trifle – Open-source analytics that stores answers, not events
Show HN: Trifle – Open-source analytics that stores answers, not events
7 by iluzone | 0 comments on Hacker News.
Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events. All in the database you already have. After rebuilding it twice over 10 years, it now tracks ~1B events a day at my day job. It started in 2015 as my own Rails APM. I plugged into ActiveSupport::Notifications, got a few small users, and one bigger one whose scraping app broke everything. That sparked the core idea: aggregate counters into pre-defined time buckets, so a single write increments multiple buckets at once. The APM eventually faded away without much traction. Later in 2021 I needed analytics at my day job. Instead of going for something out there I revised the idea of Trifle as a more generic analytics library, borrowing some data warehouse ideas. First used Redis, then Postgres, eventually MongoDB. Hence why Trifle::Stats comes with multiple drivers that keep the DSL unified while storage layer changes with your needs. In our case (huge write volume, some reads) PG read faster but slowed on large writes. The nested values are the whole trick here. Single: Trifle::Stats.track( key: 'requests::aws::s3_uploads', values: { count: 1, status: { request.response_code => 1 }, size: payload.bytes, duration: { sum: request.duration, count: 1 } } ) builds up counts for requests, success rate, result status codes, duration for multiple time buckets at once. Single bucket from 2am then looks like: { count: 14, status: { 200: 12, 500: 2 }, size: 5628341, duration: { sum: 43, count: 14 } } If request.duration is in seconds, then sum stored under duration would be in seconds as well. Success rate is never stored, but it is calculated by dividing 200s over total number of requests. Same with average duration: sum over count. You ask for a metrics key, granularity and timeframe and you get back aggregated values at each point. Ready for charts or to answer "Average response time over last 30 days". There's a Series wrapper for aggregating and formatting values for charts in a simple call. And as building dashboards is not as much fun for other devs as I thought, I built Trifle App - a visual layer with dashboards, scheduled digests and alerts. It's written in Elixir, so I ported the library to Elixir too. And later to Go for a CLI. All three are compatible, write in one and read in another. Today we track activity from over 100M background jobs a day which turns into about 1B events. It runs surprisingly cheap when you're willing to trade some safety away (turn off journaling and write concerns in Mongo). 3-node Hetzner MongoDB cluster where the primary does 20% utilization costs us around $1k/month. It has its limitations. Payloads can't hold tens of thousands of keys. Documents becomes too large to update efficiently. Some planning ahead is needed. And then there are no dimensions. Sometimes you can nest them (country - there are only so many countries), sometimes it's better to have dedicated metrics key per dimension (customer - growing forever). That multiplies tracked events, hence 1B events from 100M jobs. The libraries are MIT. The App is source-available under ELv2 - free to self-host and paid cloud if you want it managed. I build this on the side with no investor money to burn on a free service. Happy to answer anything about architecture, storage models, my failures or why I didn't give up on this yet.
7 by iluzone | 0 comments on Hacker News.
Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events. All in the database you already have. After rebuilding it twice over 10 years, it now tracks ~1B events a day at my day job. It started in 2015 as my own Rails APM. I plugged into ActiveSupport::Notifications, got a few small users, and one bigger one whose scraping app broke everything. That sparked the core idea: aggregate counters into pre-defined time buckets, so a single write increments multiple buckets at once. The APM eventually faded away without much traction. Later in 2021 I needed analytics at my day job. Instead of going for something out there I revised the idea of Trifle as a more generic analytics library, borrowing some data warehouse ideas. First used Redis, then Postgres, eventually MongoDB. Hence why Trifle::Stats comes with multiple drivers that keep the DSL unified while storage layer changes with your needs. In our case (huge write volume, some reads) PG read faster but slowed on large writes. The nested values are the whole trick here. Single: Trifle::Stats.track( key: 'requests::aws::s3_uploads', values: { count: 1, status: { request.response_code => 1 }, size: payload.bytes, duration: { sum: request.duration, count: 1 } } ) builds up counts for requests, success rate, result status codes, duration for multiple time buckets at once. Single bucket from 2am then looks like: { count: 14, status: { 200: 12, 500: 2 }, size: 5628341, duration: { sum: 43, count: 14 } } If request.duration is in seconds, then sum stored under duration would be in seconds as well. Success rate is never stored, but it is calculated by dividing 200s over total number of requests. Same with average duration: sum over count. You ask for a metrics key, granularity and timeframe and you get back aggregated values at each point. Ready for charts or to answer "Average response time over last 30 days". There's a Series wrapper for aggregating and formatting values for charts in a simple call. And as building dashboards is not as much fun for other devs as I thought, I built Trifle App - a visual layer with dashboards, scheduled digests and alerts. It's written in Elixir, so I ported the library to Elixir too. And later to Go for a CLI. All three are compatible, write in one and read in another. Today we track activity from over 100M background jobs a day which turns into about 1B events. It runs surprisingly cheap when you're willing to trade some safety away (turn off journaling and write concerns in Mongo). 3-node Hetzner MongoDB cluster where the primary does 20% utilization costs us around $1k/month. It has its limitations. Payloads can't hold tens of thousands of keys. Documents becomes too large to update efficiently. Some planning ahead is needed. And then there are no dimensions. Sometimes you can nest them (country - there are only so many countries), sometimes it's better to have dedicated metrics key per dimension (customer - growing forever). That multiplies tracked events, hence 1B events from 100M jobs. The libraries are MIT. The App is source-available under ELv2 - free to self-host and paid cloud if you want it managed. I build this on the side with no investor money to burn on a free service. Happy to answer anything about architecture, storage models, my failures or why I didn't give up on this yet.
Wednesday, 22 July 2026
New top story on Hacker News: ICE shared Medicaid data it wasn't supposed to have with Palantir
ICE shared Medicaid data it wasn't supposed to have with Palantir
19 by Jimmc414 | 2 comments on Hacker News.
19 by Jimmc414 | 2 comments on Hacker News.
Tuesday, 21 July 2026
Monday, 20 July 2026
Sunday, 19 July 2026
Saturday, 18 July 2026
Friday, 17 July 2026
Thursday, 16 July 2026
Wednesday, 15 July 2026
New top story on Hacker News: Duskers, the scary command line game, is getting a sequel
Duskers, the scary command line game, is getting a sequel
25 by spacemarine1 | 2 comments on Hacker News.
25 by spacemarine1 | 2 comments on Hacker News.
Tuesday, 14 July 2026
New top story on Hacker News: Guardian Angels: LLM Personalization for Productivity and Security
Guardian Angels: LLM Personalization for Productivity and Security
4 by andsoitis | 0 comments on Hacker News.
4 by andsoitis | 0 comments on Hacker News.
Monday, 13 July 2026
Sunday, 12 July 2026
Saturday, 11 July 2026
New top story on Hacker News: Show HN: Reame – a CPU inference server that gets faster as it runs
Show HN: Reame – a CPU inference server that gets faster as it runs
7 by targetbridge | 2 comments on Hacker News.
7 by targetbridge | 2 comments on Hacker News.
Friday, 10 July 2026
Thursday, 9 July 2026
New top story on Hacker News: Show HN: Abralo – Free, easy way to run several Claude Code agents in one window
Show HN: Abralo – Free, easy way to run several Claude Code agents in one window
15 by cwbuilds | 4 comments on Hacker News.
Hi guys, I've been using Claude Code for almost everything lately. Have given one an email account so it can research business leads, draft emails, fact-check them and clear them with me before sending (works really well by the way). I also tend to have a few Claude Code agents running at any one time for coding. I used to create a split terminal to manage them from there, but found working in the terminal all day pretty depressing and, more importantly, found it hard to follow Claude Code's process and see which agents needed my immediate attention. I tried Anthropic's VS Code Claude Code extension and it had a great UI (more info on Claude Code's process and easier to read), but it crashed my PC when I ran more than 3 and I couldn't watch multiple agents in parallel (had to constantly switch between them). So I built a lightweight Tauri desktop app which lets you run multiple Claude Code agents in one window alongside each other. It's easier to read the output and see which agents need your attention than a terminal. Have been using this all day everyday instead of an IDE and have obsessed over every detail to make sure it's easy-to-use, but also lightweight and fast (so you can manage multiple agents without your PC crashing). There are some nice features like better usage alerts for when you're going to hit your 5-hour and weekly limits (with sparklines to show when usage peaked, and which agents are the most token-intensive). It's free to use (you just need to log in with your existing Claude Code account) for up to 4 agents simultaneously. This app doesn't store your Claude Code account details and doesn't store any of your interactions with Claude Code. They remain between you and Anthropic. It's compatible with Windows, MacOS and 64-bit Linux. Would really appreciate any feedback, so if you have any thoughts, issues or suggestions please let me know. Thanks, Chris
15 by cwbuilds | 4 comments on Hacker News.
Hi guys, I've been using Claude Code for almost everything lately. Have given one an email account so it can research business leads, draft emails, fact-check them and clear them with me before sending (works really well by the way). I also tend to have a few Claude Code agents running at any one time for coding. I used to create a split terminal to manage them from there, but found working in the terminal all day pretty depressing and, more importantly, found it hard to follow Claude Code's process and see which agents needed my immediate attention. I tried Anthropic's VS Code Claude Code extension and it had a great UI (more info on Claude Code's process and easier to read), but it crashed my PC when I ran more than 3 and I couldn't watch multiple agents in parallel (had to constantly switch between them). So I built a lightweight Tauri desktop app which lets you run multiple Claude Code agents in one window alongside each other. It's easier to read the output and see which agents need your attention than a terminal. Have been using this all day everyday instead of an IDE and have obsessed over every detail to make sure it's easy-to-use, but also lightweight and fast (so you can manage multiple agents without your PC crashing). There are some nice features like better usage alerts for when you're going to hit your 5-hour and weekly limits (with sparklines to show when usage peaked, and which agents are the most token-intensive). It's free to use (you just need to log in with your existing Claude Code account) for up to 4 agents simultaneously. This app doesn't store your Claude Code account details and doesn't store any of your interactions with Claude Code. They remain between you and Anthropic. It's compatible with Windows, MacOS and 64-bit Linux. Would really appreciate any feedback, so if you have any thoughts, issues or suggestions please let me know. Thanks, Chris
Wednesday, 8 July 2026
Tuesday, 7 July 2026
Monday, 6 July 2026
Sunday, 5 July 2026
Saturday, 4 July 2026
Friday, 3 July 2026
Thursday, 2 July 2026
Wednesday, 1 July 2026
Tuesday, 30 June 2026
Monday, 29 June 2026
Sunday, 28 June 2026
Saturday, 27 June 2026
Friday, 26 June 2026
Thursday, 25 June 2026
New top story on Hacker News: Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion
Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion
23 by engomez | 5 comments on Hacker News.
Hi HN, Nick here. We’re launching OpenKnowledge ( https://ift.tt/AmeXxbH ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free/local and OSS ( https://ift.tt/C8gV4qF ). We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see is what you get” UI and it didn’t integrate well with Claude/Codex outside of community plugins. So we built OpenKnowledge. It takes shape as: 1. A MacOS app with a file navigator, the WYSIWYG editor, and link explorer. 2. Integrations with the Claude, Codex, and Cursor desktop apps. The agents can open an OpenKnowledge editor within their embedded web browsers for a side-by-side experience. 3. Built-in mcps, skills, and RAG for LLM-wiki and “AI Second Brain” scenarios + spec writing 4. An embedded terminal and CLI for TUI-first users OSS stack includes: Tiptap/prosemirror, CodeMirror, yjs (CRDT), Electron (MacOS app), Orama, remark/rehype/micromark/mdast, @pierre/trees On the architecture side, the interesting eng. challenges included: 1. A pipeline to convert ProseMirror to markdown in a bidirectional lossless way. ProseMirror uses ASTs, which are not designed to have byte-fidelity. 2. A dual-observer CRDT to keep the ProseMirror and markdown state in-sync. The CRDT + git also power a collaborative experience that shows what Agents are doing in the markdown, have undo/redo, and version history. The “Share” and cloud-sync functionality are geared for team collaboration. They feel “no-code” but leverage git/GitHub under the hood, which also means data stays fully private. In that spirit, we made OpenKnowledge open source for anybody who’s curious or who’d like to contribute. We’re actively thinking about plugins/extensibility and what’s next. If you have suggestions or feedback, would love to hear it.
23 by engomez | 5 comments on Hacker News.
Hi HN, Nick here. We’re launching OpenKnowledge ( https://ift.tt/AmeXxbH ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free/local and OSS ( https://ift.tt/C8gV4qF ). We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see is what you get” UI and it didn’t integrate well with Claude/Codex outside of community plugins. So we built OpenKnowledge. It takes shape as: 1. A MacOS app with a file navigator, the WYSIWYG editor, and link explorer. 2. Integrations with the Claude, Codex, and Cursor desktop apps. The agents can open an OpenKnowledge editor within their embedded web browsers for a side-by-side experience. 3. Built-in mcps, skills, and RAG for LLM-wiki and “AI Second Brain” scenarios + spec writing 4. An embedded terminal and CLI for TUI-first users OSS stack includes: Tiptap/prosemirror, CodeMirror, yjs (CRDT), Electron (MacOS app), Orama, remark/rehype/micromark/mdast, @pierre/trees On the architecture side, the interesting eng. challenges included: 1. A pipeline to convert ProseMirror to markdown in a bidirectional lossless way. ProseMirror uses ASTs, which are not designed to have byte-fidelity. 2. A dual-observer CRDT to keep the ProseMirror and markdown state in-sync. The CRDT + git also power a collaborative experience that shows what Agents are doing in the markdown, have undo/redo, and version history. The “Share” and cloud-sync functionality are geared for team collaboration. They feel “no-code” but leverage git/GitHub under the hood, which also means data stays fully private. In that spirit, we made OpenKnowledge open source for anybody who’s curious or who’d like to contribute. We’re actively thinking about plugins/extensibility and what’s next. If you have suggestions or feedback, would love to hear it.
Wednesday, 24 June 2026
New top story on Hacker News: Show HN: LookAway, a Mac break reminder that knows when not to interrupt
Show HN: LookAway, a Mac break reminder that knows when not to interrupt
10 by _kush | 0 comments on Hacker News.
Hello, I'm Kushagra and I am the indie developer behind LookAway (I've posted about it earlier but it has received quite a lot of updates since the last time so I am posting it again). LookAway is a native break reminder for macOS that doesn't interrupt. I built it because I work from home and I spend a lot of time in front of my screens. It's very easy for me to get lost in the flow and I can end up sitting for hours. Due to this, I started facing issues like eye strain and back pain by the end of the day. The solution to this was simply taking enough breaks throughout the day. But remembering to take breaks was difficult, especially when I was in the flow. I tried some reminder apps but the problem with those was that they always interrupted me at the worst moments. So I ended up not using them. LookAway is designed not to interrupt. It gives enough heads up before a break so that you're not caught off-guard. It's also context-aware and it automatically pauses when you go into a meeting, start watching a video, record screen, and much more. It even waits for you to finish typing or dictating when a break is due. One thing worth mentioning is the free iOS counterpart LookAway Mirror. When your Mac goes on a break, your iOS devices can also mirror the same break so you don't end up scrolling your phone screen during the Mac break. I've spent a lot of time in making LookAway the least annoying break reminder app and I would love to know your thoughts. It's a native Swift app so it doesn't take much resources (150MB RAM and <1% CPU when idle). It's available to download from the website (lookaway.com), Setapp, and the App Store. Thank you!
10 by _kush | 0 comments on Hacker News.
Hello, I'm Kushagra and I am the indie developer behind LookAway (I've posted about it earlier but it has received quite a lot of updates since the last time so I am posting it again). LookAway is a native break reminder for macOS that doesn't interrupt. I built it because I work from home and I spend a lot of time in front of my screens. It's very easy for me to get lost in the flow and I can end up sitting for hours. Due to this, I started facing issues like eye strain and back pain by the end of the day. The solution to this was simply taking enough breaks throughout the day. But remembering to take breaks was difficult, especially when I was in the flow. I tried some reminder apps but the problem with those was that they always interrupted me at the worst moments. So I ended up not using them. LookAway is designed not to interrupt. It gives enough heads up before a break so that you're not caught off-guard. It's also context-aware and it automatically pauses when you go into a meeting, start watching a video, record screen, and much more. It even waits for you to finish typing or dictating when a break is due. One thing worth mentioning is the free iOS counterpart LookAway Mirror. When your Mac goes on a break, your iOS devices can also mirror the same break so you don't end up scrolling your phone screen during the Mac break. I've spent a lot of time in making LookAway the least annoying break reminder app and I would love to know your thoughts. It's a native Swift app so it doesn't take much resources (150MB RAM and <1% CPU when idle). It's available to download from the website (lookaway.com), Setapp, and the App Store. Thank you!
Tuesday, 23 June 2026
Monday, 22 June 2026
Sunday, 21 June 2026
New top story on Hacker News: Show HN: CleverCrow: give tokens to your favorite projects
Show HN: CleverCrow: give tokens to your favorite projects
12 by zhubert | 3 comments on Hacker News.
Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
12 by zhubert | 3 comments on Hacker News.
Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
Saturday, 20 June 2026
Friday, 19 June 2026
Thursday, 18 June 2026
Wednesday, 17 June 2026
New top story on Hacker News: The hacker sent by Anthropic to calm the government's nerves about AI safety
The hacker sent by Anthropic to calm the government's nerves about AI safety
52 by Brajeshwar | 36 comments on Hacker News.
Readable: https://ift.tt/HecrdKk...
52 by Brajeshwar | 36 comments on Hacker News.
Readable: https://ift.tt/HecrdKk...
Tuesday, 16 June 2026
Monday, 15 June 2026
Sunday, 14 June 2026
New top story on Hacker News: Show HN: Trace – Offline Mac meeting transcripts you can flag mid-call
Show HN: Trace – Offline Mac meeting transcripts you can flag mid-call
8 by AG342 | 2 comments on Hacker News.
I'm the developer of Trace, a non-intrusive, shortcut-driven Mac app that records and transcribes your meetings on-device. I know, another meeting transcription app. Please bear with me though, I'm confident that this is at least a little novel. I primarily built Trace for myself. I'd been using MacWhisper, but there was enough fiddling before each call that I'd forget to start it and walk out of an hour-long meeting with nothing written down. So the things I cared about most were that it's quick to activate and stays out of the way. You activate Trace by pressing a global shortcut (configurable), which reveals a small bar at the bottom of your screen (there's also a keystroke and/or option to hide it entirely if you'd rather not see it at all). As I was building it I wanted to bake in a couple of workflows I'd wished for in other transcription apps. 1. Mid-meeting you can press another global shortcut to mark a "key moment" and type a note. The note shows up in the resulting transcript inline at that timestamp. I wanted to add this because I kept catching myself thinking "wait, that bit matters" in meetings and reaching to jot it down in a separate app like Obsidian, which I then needed to add context to, which took me out of the meeting. I use it all the time. If I paste the transcript into an LLM afterwards (which I find myself doing more and more these days) the important moments are flagged so it doesn't gloss over them. This is more noticeable in longer meetings with lots of topics. 2. With another keyboard shortcut you can summon a rough live recap (subtitles, basically) to quickly recap what's just been said. Trace uses standard macOS microphone and system recording APIs to capture both sides of the conversation as two separate tracks and then runs the system side through on-device diarization to identify speakers. Right now we only label them as "Speaker 1", "Speaker 2", etc but there are plans for speaker labelling in the future. You can also show a "live recap" as the call is happening to review what someone just said. All transcription models run on your machine. To be clear though, Trace doesn't do any of the summarising itself, it just produces a markdown transcript, so if you want summaries then you need to pass the output to an AI. The app is sandboxed and your audio/transcripts are never uploaded anywhere - they just exist as audio files and markdown on disk. The only network call Trace is required to make is on the first run to download the speech and speaker models (around 500MB) from Hugging Face, and after that it can be used fully offline. If enabled, a Google Calendar integration can auto-name sessions but that needs a network connection. The app is £9.99 on the macOS App Store. I've been using it every day for months now and I'm super happy with how it's improved my workflow. Feedback very welcome.
8 by AG342 | 2 comments on Hacker News.
I'm the developer of Trace, a non-intrusive, shortcut-driven Mac app that records and transcribes your meetings on-device. I know, another meeting transcription app. Please bear with me though, I'm confident that this is at least a little novel. I primarily built Trace for myself. I'd been using MacWhisper, but there was enough fiddling before each call that I'd forget to start it and walk out of an hour-long meeting with nothing written down. So the things I cared about most were that it's quick to activate and stays out of the way. You activate Trace by pressing a global shortcut (configurable), which reveals a small bar at the bottom of your screen (there's also a keystroke and/or option to hide it entirely if you'd rather not see it at all). As I was building it I wanted to bake in a couple of workflows I'd wished for in other transcription apps. 1. Mid-meeting you can press another global shortcut to mark a "key moment" and type a note. The note shows up in the resulting transcript inline at that timestamp. I wanted to add this because I kept catching myself thinking "wait, that bit matters" in meetings and reaching to jot it down in a separate app like Obsidian, which I then needed to add context to, which took me out of the meeting. I use it all the time. If I paste the transcript into an LLM afterwards (which I find myself doing more and more these days) the important moments are flagged so it doesn't gloss over them. This is more noticeable in longer meetings with lots of topics. 2. With another keyboard shortcut you can summon a rough live recap (subtitles, basically) to quickly recap what's just been said. Trace uses standard macOS microphone and system recording APIs to capture both sides of the conversation as two separate tracks and then runs the system side through on-device diarization to identify speakers. Right now we only label them as "Speaker 1", "Speaker 2", etc but there are plans for speaker labelling in the future. You can also show a "live recap" as the call is happening to review what someone just said. All transcription models run on your machine. To be clear though, Trace doesn't do any of the summarising itself, it just produces a markdown transcript, so if you want summaries then you need to pass the output to an AI. The app is sandboxed and your audio/transcripts are never uploaded anywhere - they just exist as audio files and markdown on disk. The only network call Trace is required to make is on the first run to download the speech and speaker models (around 500MB) from Hugging Face, and after that it can be used fully offline. If enabled, a Google Calendar integration can auto-name sessions but that needs a network connection. The app is £9.99 on the macOS App Store. I've been using it every day for months now and I'm super happy with how it's improved my workflow. Feedback very welcome.
Saturday, 13 June 2026
Friday, 12 June 2026
Thursday, 11 June 2026
New top story on Hacker News: Show HN: I built a Red Flag Warning zone-check tool for the East Bay in 48h
Show HN: I built a Red Flag Warning zone-check tool for the East Bay in 48h
6 by vedant28t | 0 comments on Hacker News.
Hey HN. I'm a high schooler in Fremont, CA. Tuesday morning I got a county-wide AC Alert text telling everyone in Alameda County to prepare a go-bag for an East Bay Hills Red Flag Warning that starts tonight at 11 PM. The text went to ~half a million phones. The actual NWS warning polygon only covers East Bay Hills (NWS zone CAZ515). Most people who got the text don't need a go-bag tonight. Some in the hills don't realize how close they are. So I built this tool - https://ift.tt/7HilePt mit licensed public github - https://ift.tt/0wZW2U3 It does a few things - tells people if they are in the flagged zone, and also provides a way to check if a buddy is in flagged zone and send them a text. Everything without installing an app. I heard back from Oakland Firesafe Council director about a gap in my understanding (and the tool). To my surprise, and through feedback, I realized that you cannot assume that only the flagged area is at risk. Adjacent areas are at risk too! Fires do not follow zone boundaries! I fixed the tool. I built this in 48 hours to close that specific gap: type your address, get a yes/no on whether the NWS polygon covers it, your Genasys evacuation zone, tonight's wind + humidity at your point, a plain-English action checklist, a per-school decision view for East Bay districts, and a one-tap iMessage buddy-check template for a hill-neighbor at 10:30 PM.
6 by vedant28t | 0 comments on Hacker News.
Hey HN. I'm a high schooler in Fremont, CA. Tuesday morning I got a county-wide AC Alert text telling everyone in Alameda County to prepare a go-bag for an East Bay Hills Red Flag Warning that starts tonight at 11 PM. The text went to ~half a million phones. The actual NWS warning polygon only covers East Bay Hills (NWS zone CAZ515). Most people who got the text don't need a go-bag tonight. Some in the hills don't realize how close they are. So I built this tool - https://ift.tt/7HilePt mit licensed public github - https://ift.tt/0wZW2U3 It does a few things - tells people if they are in the flagged zone, and also provides a way to check if a buddy is in flagged zone and send them a text. Everything without installing an app. I heard back from Oakland Firesafe Council director about a gap in my understanding (and the tool). To my surprise, and through feedback, I realized that you cannot assume that only the flagged area is at risk. Adjacent areas are at risk too! Fires do not follow zone boundaries! I fixed the tool. I built this in 48 hours to close that specific gap: type your address, get a yes/no on whether the NWS polygon covers it, your Genasys evacuation zone, tonight's wind + humidity at your point, a plain-English action checklist, a per-school decision view for East Bay districts, and a one-tap iMessage buddy-check template for a hill-neighbor at 10:30 PM.
Wednesday, 10 June 2026
Tuesday, 9 June 2026
Monday, 8 June 2026
Sunday, 7 June 2026
Saturday, 6 June 2026
Friday, 5 June 2026
New top story on Hacker News: Inside FAISS: Billion-Scale Similarity Search
Inside FAISS: Billion-Scale Similarity Search
12 by tohms | 0 comments on Hacker News.
Author here. I wrote this as a visual companion to the 2017 FAISS paper ( https://ift.tt/8O0McJd ), focused on the parts I found hardest to grok from text alone. The article covers a subset of what FAISS does, with the paper as the source of truth. NSG, FastScan, IMI are not covered here, they'll get their own articles. I'd be especially interested in feedback on: - the IVFPQ / IVFADC explanation, particularly the LUT reuse argument - whether the GPU part captures enough of the actual complexity Happy to answer questions.
12 by tohms | 0 comments on Hacker News.
Author here. I wrote this as a visual companion to the 2017 FAISS paper ( https://ift.tt/8O0McJd ), focused on the parts I found hardest to grok from text alone. The article covers a subset of what FAISS does, with the paper as the source of truth. NSG, FastScan, IMI are not covered here, they'll get their own articles. I'd be especially interested in feedback on: - the IVFPQ / IVFADC explanation, particularly the LUT reuse argument - whether the GPU part captures enough of the actual complexity Happy to answer questions.
Thursday, 4 June 2026
New top story on Hacker News: Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call
Show HN: Cost.dev (YC W21) – making agents cost-aware and cheaper to call
7 by akh | 1 comments on Hacker News.
We launched Infracost on HN five years ago ( https://ift.tt/VK2Q6zn ) where our CLI generated cost estimates for infra-as-code, e.g. "this Terraform PR adds $400/mo". The idea was to shift cloud costs (FinOps) left, so engineers get visibility of costs before deployment and make better decisions. Earlier this year we started seeing agent traffic in our logs and it looked like coding agents were calling our CLI. But that CLI wasn't designed with coding agents in mind. We went down a philosophical rabbit hole to see if a CLI is even needed anymore given that Claude, Copilot et al. already follow best practices. Ultimately we decided to create a new CLI from the ground up with coding agents in mind for two reasons: 1. We optimized the CLI for agent callers and cut Claude's output token usage by up to 79% and API cost by up to 67% versus a bare-Claude baseline. We wrote a blog documenting our lessons on optimizing user token usage when designing a CLI, e.g. using predicate flags so the agent doesn't compose jq | python | wc pipelines, output format that strips JSON's redundant field names. The blog is here: https://ift.tt/wrDE6AL... 2. With cloud costs, precision matters. Telling a coding agent "make this Terraform cost-optimized" can be expensive and lossy. You burn tokens loading code and policy context into every conversation. Your agent could make up a price and you wouldn't know because it's difficult to verify that across the ~10M price points that AWS, Azure and Google have. The CLI runs static analysis on the code, uses the latest prices from cloud vendors, and passes that context to the coding agent. So that's what we're launching today - Cost.dev: https://cost.dev/ . - It runs locally. Your code never leaves your machine, you get a fast feedback loop, and you're not burning API calls per character when you want to fetch prices. - The CLI does the deterministic work. Fetching price points, scanning the code, validating fixes. The coding agent does the natural-language part. You don't have to trust the LLM to remember the rules, and can verify it called the right CLI command. - It provides a consistent rule layer across every tool you use. Get cost estimates in your IDE and your coding agent with a single install. We support Claude Code, GitHub Copilot, Cursor, Windsurf, OpenAI Codex, Gemini CLI, as well as IDEs like VS Code and JetBrains Before we keep building more in that direction, I want to sanity-check with HN: is "agents writing IaC in prod" actually a thing yet, or am I betting on a future that's still a year out? I know software developers are using coding agents heavily, but are platform/infra folks doing that for prod too? Also, if you have any feedback on Cost.dev, I'd love to hear it!
7 by akh | 1 comments on Hacker News.
We launched Infracost on HN five years ago ( https://ift.tt/VK2Q6zn ) where our CLI generated cost estimates for infra-as-code, e.g. "this Terraform PR adds $400/mo". The idea was to shift cloud costs (FinOps) left, so engineers get visibility of costs before deployment and make better decisions. Earlier this year we started seeing agent traffic in our logs and it looked like coding agents were calling our CLI. But that CLI wasn't designed with coding agents in mind. We went down a philosophical rabbit hole to see if a CLI is even needed anymore given that Claude, Copilot et al. already follow best practices. Ultimately we decided to create a new CLI from the ground up with coding agents in mind for two reasons: 1. We optimized the CLI for agent callers and cut Claude's output token usage by up to 79% and API cost by up to 67% versus a bare-Claude baseline. We wrote a blog documenting our lessons on optimizing user token usage when designing a CLI, e.g. using predicate flags so the agent doesn't compose jq | python | wc pipelines, output format that strips JSON's redundant field names. The blog is here: https://ift.tt/wrDE6AL... 2. With cloud costs, precision matters. Telling a coding agent "make this Terraform cost-optimized" can be expensive and lossy. You burn tokens loading code and policy context into every conversation. Your agent could make up a price and you wouldn't know because it's difficult to verify that across the ~10M price points that AWS, Azure and Google have. The CLI runs static analysis on the code, uses the latest prices from cloud vendors, and passes that context to the coding agent. So that's what we're launching today - Cost.dev: https://cost.dev/ . - It runs locally. Your code never leaves your machine, you get a fast feedback loop, and you're not burning API calls per character when you want to fetch prices. - The CLI does the deterministic work. Fetching price points, scanning the code, validating fixes. The coding agent does the natural-language part. You don't have to trust the LLM to remember the rules, and can verify it called the right CLI command. - It provides a consistent rule layer across every tool you use. Get cost estimates in your IDE and your coding agent with a single install. We support Claude Code, GitHub Copilot, Cursor, Windsurf, OpenAI Codex, Gemini CLI, as well as IDEs like VS Code and JetBrains Before we keep building more in that direction, I want to sanity-check with HN: is "agents writing IaC in prod" actually a thing yet, or am I betting on a future that's still a year out? I know software developers are using coding agents heavily, but are platform/infra folks doing that for prod too? Also, if you have any feedback on Cost.dev, I'd love to hear it!
Wednesday, 3 June 2026
Tuesday, 2 June 2026
Monday, 1 June 2026
Sunday, 31 May 2026
Saturday, 30 May 2026
Friday, 29 May 2026
Thursday, 28 May 2026
Wednesday, 27 May 2026
Tuesday, 26 May 2026
Monday, 25 May 2026
Sunday, 24 May 2026
Saturday, 23 May 2026
New top story on Hacker News: Green card seekers must leave U.S. to apply, Trump administration says
Green card seekers must leave U.S. to apply, Trump administration says
110 by tlhunter | 403 comments on Hacker News.
https://ift.tt/1qITvZ9... https://ift.tt/BqHXuJ7... [pdf] https://twitter.com/DHSgov/status/2057817233200418837 , https://ift.tt/eIiXgKP https://ift.tt/XmMjWnK https://ift.tt/vKRS9ht... , https://ift.tt/31Xib46
110 by tlhunter | 403 comments on Hacker News.
https://ift.tt/1qITvZ9... https://ift.tt/BqHXuJ7... [pdf] https://twitter.com/DHSgov/status/2057817233200418837 , https://ift.tt/eIiXgKP https://ift.tt/XmMjWnK https://ift.tt/vKRS9ht... , https://ift.tt/31Xib46
Friday, 22 May 2026
Thursday, 21 May 2026
Wednesday, 20 May 2026
Tuesday, 19 May 2026
Monday, 18 May 2026
Sunday, 17 May 2026
Saturday, 16 May 2026
New top story on Hacker News: Show HN: Daily vibe-coding video games, day 33: Tower Defense (single prompt)
Show HN: Daily vibe-coding video games, day 33: Tower Defense (single prompt)
6 by pzxc | 0 comments on Hacker News.
I'm using AI (mostly Claude) to create/publish a new video game every day This is day 33, first stab at the tower defense genre. Most of the games (including this one) I build with a single prompt. Rarely, a couple extra prompts are needed for bug fixes or to tweak the physics/UI. Extremely rarely, the AI has difficulty making the game work right (usually drawing it) and it takes a dozen or more prompts -- but the majority of the time, it gets everything right and makes a fully playable game first try Happy to answer any questions, just a little hobby project of mine I'm having lots of fun with :)
6 by pzxc | 0 comments on Hacker News.
I'm using AI (mostly Claude) to create/publish a new video game every day This is day 33, first stab at the tower defense genre. Most of the games (including this one) I build with a single prompt. Rarely, a couple extra prompts are needed for bug fixes or to tweak the physics/UI. Extremely rarely, the AI has difficulty making the game work right (usually drawing it) and it takes a dozen or more prompts -- but the majority of the time, it gets everything right and makes a fully playable game first try Happy to answer any questions, just a little hobby project of mine I'm having lots of fun with :)
Friday, 15 May 2026
Thursday, 14 May 2026
Wednesday, 13 May 2026
Tuesday, 12 May 2026
Monday, 11 May 2026
Sunday, 10 May 2026
Saturday, 9 May 2026
Friday, 8 May 2026
Thursday, 7 May 2026
Wednesday, 6 May 2026
Tuesday, 5 May 2026
Monday, 4 May 2026
Sunday, 3 May 2026
Saturday, 2 May 2026
Friday, 1 May 2026
Thursday, 30 April 2026
Wednesday, 29 April 2026
Tuesday, 28 April 2026
Monday, 27 April 2026
Sunday, 26 April 2026
Saturday, 25 April 2026
Friday, 24 April 2026
Thursday, 23 April 2026
Wednesday, 22 April 2026
New top story on Hacker News: You don't need advice from editors on rejected manuscripts
You don't need advice from editors on rejected manuscripts
6 by MrBuddyCasino | 0 comments on Hacker News.
https://ift.tt/XL4bIeR...
6 by MrBuddyCasino | 0 comments on Hacker News.
https://ift.tt/XL4bIeR...
Tuesday, 21 April 2026
Monday, 20 April 2026
Sunday, 19 April 2026
Saturday, 18 April 2026
Friday, 17 April 2026
Thursday, 16 April 2026
New top story on Hacker News: Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7
Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7
36 by simonw | 3 comments on Hacker News.
36 by simonw | 3 comments on Hacker News.
Wednesday, 15 April 2026
Tuesday, 14 April 2026
Monday, 13 April 2026
Sunday, 12 April 2026
Saturday, 11 April 2026
Friday, 10 April 2026
Thursday, 9 April 2026
New top story on Hacker News: FreeBSD Laptop Compatibility: Top Laptops to Use with FreeBSD
FreeBSD Laptop Compatibility: Top Laptops to Use with FreeBSD
21 by fork-bomber | 2 comments on Hacker News.
21 by fork-bomber | 2 comments on Hacker News.
Wednesday, 8 April 2026
Tuesday, 7 April 2026
Monday, 6 April 2026
Sunday, 5 April 2026
Saturday, 4 April 2026
Friday, 3 April 2026
Thursday, 2 April 2026
Wednesday, 1 April 2026
Tuesday, 31 March 2026
Monday, 30 March 2026
Sunday, 29 March 2026
Saturday, 28 March 2026
Friday, 27 March 2026
Thursday, 26 March 2026
Wednesday, 25 March 2026
Tuesday, 24 March 2026
New top story on Hacker News: Epic Games to cut more than 1k jobs as Fortnite usage falls
Epic Games to cut more than 1k jobs as Fortnite usage falls
98 by doughnutstracks | 186 comments on Hacker News.
https://ift.tt/LA9uqUV
98 by doughnutstracks | 186 comments on Hacker News.
https://ift.tt/LA9uqUV
New top story on Hacker News: Tell HN: Litellm 1.82.7 and 1.82.8 on PyPI are compromised
Tell HN: Litellm 1.82.7 and 1.82.8 on PyPI are compromised
136 by dot_treo | 303 comments on Hacker News.
About an hour ago new versions have been deployed to PyPI. I was just setting up a new project, and things behaved weirdly. My laptop ran out of RAM, it looked like a forkbomb was running. I've investigated, and found that a base64 encoded blob has been added to proxy_server.py. It writes and decodes another file which it then runs. I'm in the process of reporting this upstream, but wanted to give everyone here a headsup. It is also reported in this issue: https://ift.tt/K3sOTHQ
136 by dot_treo | 303 comments on Hacker News.
About an hour ago new versions have been deployed to PyPI. I was just setting up a new project, and things behaved weirdly. My laptop ran out of RAM, it looked like a forkbomb was running. I've investigated, and found that a base64 encoded blob has been added to proxy_server.py. It writes and decodes another file which it then runs. I'm in the process of reporting this upstream, but wanted to give everyone here a headsup. It is also reported in this issue: https://ift.tt/K3sOTHQ
Monday, 23 March 2026
Sunday, 22 March 2026
Saturday, 21 March 2026
New top story on Hacker News: Show HN: Termcraft – terminal-first 2D sandbox survival in Rust
Show HN: Termcraft – terminal-first 2D sandbox survival in Rust
9 by sebosch | 0 comments on Hacker News.
I’ve been building termcraft, a terminal-first 2D sandbox survival game in Rust. The idea is to take the classic early survival progression and adapt it to a side-on terminal format instead of a tile or pixel-art engine. Current build includes: - procedural Overworld, Nether, and End generation - mining, placement, crafting, furnaces, brewing, and boats - hostile and passive mobs - villages, dungeons, strongholds, Nether fortresses, and dragon progression This is still early alpha, but it’s already playable. Project: https://ift.tt/3Ryo2Hn Docs: https://pagel-s.github.io/termcraft/ Demo: https://youtu.be/kR986Xqzj7E
9 by sebosch | 0 comments on Hacker News.
I’ve been building termcraft, a terminal-first 2D sandbox survival game in Rust. The idea is to take the classic early survival progression and adapt it to a side-on terminal format instead of a tile or pixel-art engine. Current build includes: - procedural Overworld, Nether, and End generation - mining, placement, crafting, furnaces, brewing, and boats - hostile and passive mobs - villages, dungeons, strongholds, Nether fortresses, and dragon progression This is still early alpha, but it’s already playable. Project: https://ift.tt/3Ryo2Hn Docs: https://pagel-s.github.io/termcraft/ Demo: https://youtu.be/kR986Xqzj7E
Friday, 20 March 2026
Thursday, 19 March 2026
Wednesday, 18 March 2026
Tuesday, 17 March 2026
New top story on Hacker News: If you thought the code writing speed was your problem; you have bigger problems
If you thought the code writing speed was your problem; you have bigger problems
107 by mooreds | 49 comments on Hacker News.
107 by mooreds | 49 comments on Hacker News.
Monday, 16 March 2026
Sunday, 15 March 2026
Saturday, 14 March 2026
Friday, 13 March 2026
New top story on Hacker News: Coding after coders: The end of computer programming as we know it
Coding after coders: The end of computer programming as we know it
56 by angst | 24 comments on Hacker News.
56 by angst | 24 comments on Hacker News.
New top story on Hacker News: John Carmack about open source and anti-AI activists
John Carmack about open source and anti-AI activists
69 by tzury | 43 comments on Hacker News.
https://ift.tt/KyY94uv
69 by tzury | 43 comments on Hacker News.
https://ift.tt/KyY94uv
Thursday, 12 March 2026
New top story on Hacker News: 'AI is African intelligence': The workers who train AI are fighting back
'AI is African intelligence': The workers who train AI are fighting back
4 by beepbooptheory | 1 comments on Hacker News.
https://ift.tt/tdbyrZg
4 by beepbooptheory | 1 comments on Hacker News.
https://ift.tt/tdbyrZg
Wednesday, 11 March 2026
Tuesday, 10 March 2026
New top story on Hacker News: Yann LeCun raises $1B to build AI that understands the physical world
Yann LeCun raises $1B to build AI that understands the physical world
96 by helloplanets | 244 comments on Hacker News.
https://ift.tt/GkH0zyj... https://ift.tt/YXk3ozO... ( https://ift.tt/xeIJsAo )
96 by helloplanets | 244 comments on Hacker News.
https://ift.tt/GkH0zyj... https://ift.tt/YXk3ozO... ( https://ift.tt/xeIJsAo )
Monday, 9 March 2026
Sunday, 8 March 2026
Saturday, 7 March 2026
Friday, 6 March 2026
Thursday, 5 March 2026
Wednesday, 4 March 2026
Tuesday, 3 March 2026
Monday, 2 March 2026
Sunday, 1 March 2026
Saturday, 28 February 2026
Friday, 27 February 2026
Thursday, 26 February 2026
New top story on Hacker News: Show HN: Mission Control – Open-source task management for AI agents
Show HN: Mission Control – Open-source task management for AI agents
11 by meisnerd | 1 comments on Hacker News.
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification - Each agent context-switches constantly because you're hand-feeding them work I was manually shepherding agents, copying task descriptions, restarting failed sessions, and losing track of what needed done next. It felt like hiring expensive contractors but managing them like a disorganized chaos experiment. The Solution Mission Control is a task management app purpose-built for delegating work to AI agents. It's got the expected stuff (Eisenhower matrix, kanban board, goal hierarchy) but built from the assumption that your collaborators are Claude, not humans. The killer feature is the autonomous daemon . It runs in the background, polls your task queue, spawns Claude Code sessions automatically, handles retries, manages concurrency, and respects your cron-scheduled work. One click: your entire work queue activates. The Architecture - Local-first : Everything lives in JSON files. No database, no cloud dependency, no vendor lock-in. - Token-optimized API : The task/decision payloads are ~50 tokens vs ~5,400 unfiltered. Matters when you're spawning agents repeatedly. - Rock-solid concurrency : Zod validation + async-mutex locking prevents corruption under concurrent writes. - 193 automated tests : This thing has to be reliable. It's doing unattended work. The app is Next.js 15 with 5 built-in agent roles (researcher, developer, marketer, business-analyst, plus you). You define reusable skills as markdown that get injected into agent prompts. Agents report back through an inbox + decisions queue. Why Release This? A few people have asked for access, and I think it's genuinely useful for anyone delegating to AI. It's MIT licensed, open source, and actively maintained. What's Next - Human collaboration (sharing tasks with real team members) - Integrations with GitHub issues and email inboxes - Better observability dashboard for daemon execution - Custom agent templates (currently hardcoded roles) If you're doing something similar—delegating serious work to AI—check it out and let me know what's broken. GitHub: https://ift.tt/kulciaV
11 by meisnerd | 1 comments on Hacker News.
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification - Each agent context-switches constantly because you're hand-feeding them work I was manually shepherding agents, copying task descriptions, restarting failed sessions, and losing track of what needed done next. It felt like hiring expensive contractors but managing them like a disorganized chaos experiment. The Solution Mission Control is a task management app purpose-built for delegating work to AI agents. It's got the expected stuff (Eisenhower matrix, kanban board, goal hierarchy) but built from the assumption that your collaborators are Claude, not humans. The killer feature is the autonomous daemon . It runs in the background, polls your task queue, spawns Claude Code sessions automatically, handles retries, manages concurrency, and respects your cron-scheduled work. One click: your entire work queue activates. The Architecture - Local-first : Everything lives in JSON files. No database, no cloud dependency, no vendor lock-in. - Token-optimized API : The task/decision payloads are ~50 tokens vs ~5,400 unfiltered. Matters when you're spawning agents repeatedly. - Rock-solid concurrency : Zod validation + async-mutex locking prevents corruption under concurrent writes. - 193 automated tests : This thing has to be reliable. It's doing unattended work. The app is Next.js 15 with 5 built-in agent roles (researcher, developer, marketer, business-analyst, plus you). You define reusable skills as markdown that get injected into agent prompts. Agents report back through an inbox + decisions queue. Why Release This? A few people have asked for access, and I think it's genuinely useful for anyone delegating to AI. It's MIT licensed, open source, and actively maintained. What's Next - Human collaboration (sharing tasks with real team members) - Integrations with GitHub issues and email inboxes - Better observability dashboard for daemon execution - Custom agent templates (currently hardcoded roles) If you're doing something similar—delegating serious work to AI—check it out and let me know what's broken. GitHub: https://ift.tt/kulciaV
Wednesday, 25 February 2026
Tuesday, 24 February 2026
Monday, 23 February 2026
Sunday, 22 February 2026
Saturday, 21 February 2026
New top story on Hacker News: Loon: A functional lang with invisible types, safe ownership, and alg. effects
Loon: A functional lang with invisible types, safe ownership, and alg. effects
12 by surprisetalk | 2 comments on Hacker News.
12 by surprisetalk | 2 comments on Hacker News.
Friday, 20 February 2026
Thursday, 19 February 2026
New top story on Hacker News: DOGE Bro's Grant Review Process Was Literally Just Asking ChatGPT 'Is This DEI?'
DOGE Bro's Grant Review Process Was Literally Just Asking ChatGPT 'Is This DEI?'
32 by hn_acker | 11 comments on Hacker News.
32 by hn_acker | 11 comments on Hacker News.
Wednesday, 18 February 2026
Tuesday, 17 February 2026
New top story on Hacker News: Discord Rival Gets Overwhelmed by Exodus of Players Fleeing Age-Verification
Discord Rival Gets Overwhelmed by Exodus of Players Fleeing Age-Verification
47 by thunderbong | 11 comments on Hacker News.
47 by thunderbong | 11 comments on Hacker News.
New top story on Hacker News: Sub-Millisecond RAG on Apple Silicon. No Server. No API. One File
Sub-Millisecond RAG on Apple Silicon. No Server. No API. One File
19 by ckarani | 3 comments on Hacker News.
19 by ckarani | 3 comments on Hacker News.
Monday, 16 February 2026
New top story on Hacker News: Show HN: Nerve: Stitches all your data sources into one mega-API
Show HN: Nerve: Stitches all your data sources into one mega-API
3 by mprast | 0 comments on Hacker News.
Hi HN! Nerve is a solo project I've been working on for the last few years. It's a developer tool that stitches together data from multiple sources in real-time. A lot of high-leverage projects (AI or otherwise) involve tying data together from multiple systems of record. This is easy enough when the data is simple and the sources are few, but if you have highly nested data and lots of sources (or you need things like federated pagination and filtering), you have to write a lot of gnarly boilerplate that's brittle and easy to get wrong. One solution is to import all your data into a central warehouse and just pull it from there. This works, but 1) you need a warehouse, 2) you have an extra copy of the data that can get stale or inconsistent, 3) you need to write and manage pipelines/connectors (or outsource them to a vendor), and 4) you're adding an extra point of failure. Nerve lets you write GraphQL-style queries that span multiple sources; then it goes out and pulls from whatever source APIs it needs to at query-time - all your source data stays where it is. Nerve has pre-built bindings to external SAAS services, and it's straightforward to hook it into your internal sources as well. Nerve is made for individual developers or two-pizza teams who: -Are building agents/internal tools -Need to deal with messy data strewn across different systems -Don't have a data team/warehouse at their disposal, (or do, but can't get a slice of their bandwidth) -Want to get to production as quickly as possible Everything you see in the demo is shipped and usable, but I'm adding a little polish before I officially launch. In the meantime, if you have a project you'd like to use Nerve on and you want to be a beta user, just drop me a line at mprast@get-nerve.com (it's free! I'll just pop in from time to time to ask you how it's going and what I can improve :) ) If you want to get an email when Nerve is ready from prime-time, you can sign up for the waitlist at get-nerve.com. Thanks for reading!
3 by mprast | 0 comments on Hacker News.
Hi HN! Nerve is a solo project I've been working on for the last few years. It's a developer tool that stitches together data from multiple sources in real-time. A lot of high-leverage projects (AI or otherwise) involve tying data together from multiple systems of record. This is easy enough when the data is simple and the sources are few, but if you have highly nested data and lots of sources (or you need things like federated pagination and filtering), you have to write a lot of gnarly boilerplate that's brittle and easy to get wrong. One solution is to import all your data into a central warehouse and just pull it from there. This works, but 1) you need a warehouse, 2) you have an extra copy of the data that can get stale or inconsistent, 3) you need to write and manage pipelines/connectors (or outsource them to a vendor), and 4) you're adding an extra point of failure. Nerve lets you write GraphQL-style queries that span multiple sources; then it goes out and pulls from whatever source APIs it needs to at query-time - all your source data stays where it is. Nerve has pre-built bindings to external SAAS services, and it's straightforward to hook it into your internal sources as well. Nerve is made for individual developers or two-pizza teams who: -Are building agents/internal tools -Need to deal with messy data strewn across different systems -Don't have a data team/warehouse at their disposal, (or do, but can't get a slice of their bandwidth) -Want to get to production as quickly as possible Everything you see in the demo is shipped and usable, but I'm adding a little polish before I officially launch. In the meantime, if you have a project you'd like to use Nerve on and you want to be a beta user, just drop me a line at mprast@get-nerve.com (it's free! I'll just pop in from time to time to ask you how it's going and what I can improve :) ) If you want to get an email when Nerve is ready from prime-time, you can sign up for the waitlist at get-nerve.com. Thanks for reading!
Sunday, 15 February 2026
New top story on Hacker News: Scientists observe a 300M-year-old brain rhythm in several animal species
Scientists observe a 300M-year-old brain rhythm in several animal species
7 by PaulHoule | 0 comments on Hacker News.
7 by PaulHoule | 0 comments on Hacker News.
Saturday, 14 February 2026
Friday, 13 February 2026
New top story on Hacker News: Show HN: Moltis – AI assistant with memory, tools, and self-extending skills
Show HN: Moltis – AI assistant with memory, tools, and self-extending skills
8 by fabienpenso | 1 comments on Hacker News.
Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging Face), sandboxed execution (Docker/Podman/Apple Containers), hybrid vector + full-text memory, MCP tool servers with auto-restart, and multi-channel (web, Telegram, API) with shared context. MIT licensed. No telemetry phoning home, but full observability built in (OpenTelemetry, Prometheus). I've included 1-click deploys on DigitalOcean and Fly.io, but since a Docker image is provided you can easily run it on your own servers as well. I've written before about owning your content ( https://ift.tt/9y507jL ) and owning your email ( https://ift.tt/w8iCfAR ). Same logic here: if something touches your files, credentials, and daily workflow, you should be able to inspect it, audit it, and fork it if the project changes direction. It's alpha. I use it daily and I'm shipping because it's useful, not because it's done. Longer architecture deep-dive: https://ift.tt/FbM2qWi... Happy to discuss the Rust architecture, security model, or local LLM setup. Would love feedback.
8 by fabienpenso | 1 comments on Hacker News.
Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging Face), sandboxed execution (Docker/Podman/Apple Containers), hybrid vector + full-text memory, MCP tool servers with auto-restart, and multi-channel (web, Telegram, API) with shared context. MIT licensed. No telemetry phoning home, but full observability built in (OpenTelemetry, Prometheus). I've included 1-click deploys on DigitalOcean and Fly.io, but since a Docker image is provided you can easily run it on your own servers as well. I've written before about owning your content ( https://ift.tt/9y507jL ) and owning your email ( https://ift.tt/w8iCfAR ). Same logic here: if something touches your files, credentials, and daily workflow, you should be able to inspect it, audit it, and fork it if the project changes direction. It's alpha. I use it daily and I'm shipping because it's useful, not because it's done. Longer architecture deep-dive: https://ift.tt/FbM2qWi... Happy to discuss the Rust architecture, security model, or local LLM setup. Would love feedback.