Yserver: A modern X11 server written in Rust
32 by Venn1 | 8 comments on Hacker News.
Sunday, June 14, 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
5 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.
5 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, June 13, 2026
Friday, June 12, 2026
Thursday, June 11, 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/tQPonpa mit licensed public github - https://ift.tt/ZYH8C95 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/tQPonpa mit licensed public github - https://ift.tt/ZYH8C95 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, June 10, 2026
Tuesday, June 9, 2026
New top story on Hacker News: Show HN: Transit-format (JSON/MessagePack) reader/writer in C
Show HN: Transit-format (JSON/MessagePack) reader/writer in C
3 by delaguardo | 0 comments on Hacker News.
Transit.c is an addition to the set of libraries to support transit data interchange format written in C11. It supports full 0.8 specification of cognitect's transit-format: JSON, JSON-Verbose and MessagePack encodings, all ground and extension types, compression via keys caching, extensibility via custom tag handlers.
3 by delaguardo | 0 comments on Hacker News.
Transit.c is an addition to the set of libraries to support transit data interchange format written in C11. It supports full 0.8 specification of cognitect's transit-format: JSON, JSON-Verbose and MessagePack encodings, all ground and extension types, compression via keys caching, extensibility via custom tag handlers.
Monday, June 8, 2026
Sunday, June 7, 2026
Saturday, June 6, 2026
Friday, June 5, 2026
New top story on Hacker News: Inside FAISS: Billion-Scale Similarity Search
Inside FAISS: Billion-Scale Similarity Search
10 by tohms | 0 comments on Hacker News.
Author here. I wrote this as a visual companion to the 2017 FAISS paper ( https://ift.tt/LjKG6lS ), 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.
10 by tohms | 0 comments on Hacker News.
Author here. I wrote this as a visual companion to the 2017 FAISS paper ( https://ift.tt/LjKG6lS ), 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, June 4, 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
6 by akh | 0 comments on Hacker News.
We launched Infracost on HN five years ago ( https://ift.tt/e5GYSl4 ) 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/sdYEKcN... 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!
6 by akh | 0 comments on Hacker News.
We launched Infracost on HN five years ago ( https://ift.tt/e5GYSl4 ) 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/sdYEKcN... 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, June 3, 2026
Tuesday, June 2, 2026
Monday, June 1, 2026
New top story on Hacker News: Florida sues OpenAI and Sam Altman over AI risks
Florida sues OpenAI and Sam Altman over AI risks
14 by cyunker | 2 comments on Hacker News.
https://ift.tt/6w0Tzne... https://ift.tt/ER9ejaD...
14 by cyunker | 2 comments on Hacker News.
https://ift.tt/6w0Tzne... https://ift.tt/ER9ejaD...
Sunday, May 31, 2026
Saturday, May 30, 2026
Friday, May 29, 2026
Thursday, May 28, 2026
Wednesday, May 27, 2026
Tuesday, May 26, 2026
Monday, May 25, 2026
Sunday, May 24, 2026
Saturday, May 23, 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
100 by tlhunter | 386 comments on Hacker News.
https://ift.tt/U6wsuHd... https://ift.tt/dnNViYB... [pdf] https://twitter.com/DHSgov/status/2057817233200418837 , https://ift.tt/KHWZAwT https://ift.tt/1uIt8Un https://ift.tt/A8QhNlR... , https://ift.tt/68ZV0f5
100 by tlhunter | 386 comments on Hacker News.
https://ift.tt/U6wsuHd... https://ift.tt/dnNViYB... [pdf] https://twitter.com/DHSgov/status/2057817233200418837 , https://ift.tt/KHWZAwT https://ift.tt/1uIt8Un https://ift.tt/A8QhNlR... , https://ift.tt/68ZV0f5
Friday, May 22, 2026
Thursday, May 21, 2026
Wednesday, May 20, 2026
Tuesday, May 19, 2026
Monday, May 18, 2026
Sunday, May 17, 2026
Saturday, May 16, 2026
Friday, May 15, 2026
Thursday, May 14, 2026
Wednesday, May 13, 2026
Tuesday, May 12, 2026
New top story on Hacker News: Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model
Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model
10 by HenryNdubuaku | 1 comments on Hacker News.
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention is the right primitive for this, and FFN parameters are wasted at this scale. Simple Attention Networks: the entire model is just attention and gating, no MLPs anywhere. Needle is an experimental run for single-shot function calling for consumer devices (phones, watches, glasses...). Training: - Pretrained on 200B tokens across 16 TPU v6e (27 hours) - Post-trained on 2B tokens of synthesized function-calling data (45 minutes) - Dataset synthesized via Gemini with 15 tool categories (timers, messaging, navigation, smart home, etc.) You can test it right now and finetune on your Mac/PC: https://ift.tt/cLsNU6K The full writeup on the architecture is here: https://ift.tt/J81foIv... We found that the "no FFN" finding generalizes beyond function calling to any task where the model has access to external structured knowledge (RAG, tool use, retrieval-augmented generation). The model doesn't need to memorize facts in FFN weights if the facts are provided in the input. Experimental results to published. While it beats FunctionGemma-270M, Qwen-0.6B, Granite-350M, LFM2.5-350M on single-shot function calling, those models have more scope/capacity and excel in conversational settings. We encourage you to test on your own tools via the playground and finetune accordingly. This is part of our broader work on Cactus ( https://ift.tt/Lsay4TY ), an inference engine built from scratch for mobile, wearables and custom hardware. We wrote about Cactus here previously: https://ift.tt/M2upWRs Everything is MIT licensed. Weights: https://ift.tt/i5W3pz7 GitHub: https://ift.tt/cLsNU6K
10 by HenryNdubuaku | 1 comments on Hacker News.
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention is the right primitive for this, and FFN parameters are wasted at this scale. Simple Attention Networks: the entire model is just attention and gating, no MLPs anywhere. Needle is an experimental run for single-shot function calling for consumer devices (phones, watches, glasses...). Training: - Pretrained on 200B tokens across 16 TPU v6e (27 hours) - Post-trained on 2B tokens of synthesized function-calling data (45 minutes) - Dataset synthesized via Gemini with 15 tool categories (timers, messaging, navigation, smart home, etc.) You can test it right now and finetune on your Mac/PC: https://ift.tt/cLsNU6K The full writeup on the architecture is here: https://ift.tt/J81foIv... We found that the "no FFN" finding generalizes beyond function calling to any task where the model has access to external structured knowledge (RAG, tool use, retrieval-augmented generation). The model doesn't need to memorize facts in FFN weights if the facts are provided in the input. Experimental results to published. While it beats FunctionGemma-270M, Qwen-0.6B, Granite-350M, LFM2.5-350M on single-shot function calling, those models have more scope/capacity and excel in conversational settings. We encourage you to test on your own tools via the playground and finetune accordingly. This is part of our broader work on Cactus ( https://ift.tt/Lsay4TY ), an inference engine built from scratch for mobile, wearables and custom hardware. We wrote about Cactus here previously: https://ift.tt/M2upWRs Everything is MIT licensed. Weights: https://ift.tt/i5W3pz7 GitHub: https://ift.tt/cLsNU6K
Monday, May 11, 2026
Sunday, May 10, 2026
New top story on Hacker News: Ask HN: What Are You Working On? (May 2026)
Ask HN: What Are You Working On? (May 2026)
15 by david927 | 34 comments on Hacker News.
What are you working on? Any new ideas that you're thinking about?
15 by david927 | 34 comments on Hacker News.
What are you working on? Any new ideas that you're thinking about?
Saturday, May 9, 2026
Friday, May 8, 2026
New top story on Hacker News: Show HN: GETadb.com – every GET request creates a DB
Show HN: GETadb.com – every GET request creates a DB
10 by nezaj | 1 comments on Hacker News.
Hey HN! We made GETadb.com, so it's easier to get agents to build you full stack apps. You don't need to give them any credentials. Just by loading a GET request, they get access to a database, a sync engine, and abstractions for auth, presence, and streams. To see what the agent sees, you can load https://getadb.com/new There's two fun things about how it's implemented: 1. If you curl the home page, it the agent content rather than human content. We do this by detecting the 'Sec-Fetch-Mode' header. It's not perfect, but gets the job done for Claude Code et al. 2. For an agent to spin up an app, they make _two_ fethes. (1) getadb.com/guide tells them to generate a uuid, and fetch (2) getadb.com/provision/. We did this, because just about half of the popular web-based app builders cache URLs globally, even if you return no-store headers. To get around this we just instruct the agent to generate unique URLs You may wonder: Why GET requests, rather than POST requests? It's because then you can build in surprising places. For example, we get meta.ai to build an app inside the artifact preview: https://ift.tt/ryzGvMh Under the hood, this is possible because the whole infra is mult-tenant from ground up. We already announced how that works on HN, but if you're curious here's the essay for it: https://ift.tt/RtCs5F6
10 by nezaj | 1 comments on Hacker News.
Hey HN! We made GETadb.com, so it's easier to get agents to build you full stack apps. You don't need to give them any credentials. Just by loading a GET request, they get access to a database, a sync engine, and abstractions for auth, presence, and streams. To see what the agent sees, you can load https://getadb.com/new There's two fun things about how it's implemented: 1. If you curl the home page, it the agent content rather than human content. We do this by detecting the 'Sec-Fetch-Mode' header. It's not perfect, but gets the job done for Claude Code et al. 2. For an agent to spin up an app, they make _two_ fethes. (1) getadb.com/guide tells them to generate a uuid, and fetch (2) getadb.com/provision/
Thursday, May 7, 2026
Wednesday, May 6, 2026
Tuesday, May 5, 2026
Monday, May 4, 2026
Sunday, May 3, 2026
Saturday, May 2, 2026
Friday, May 1, 2026
Thursday, April 30, 2026
Wednesday, April 29, 2026
Tuesday, April 28, 2026
Monday, April 27, 2026
New top story on Hacker News: China blocks Meta's acquisition of AI startup Manus
China blocks Meta's acquisition of AI startup Manus
7 by yakkomajuri | 0 comments on Hacker News.
https://ift.tt/ZNjfKSk...
7 by yakkomajuri | 0 comments on Hacker News.
https://ift.tt/ZNjfKSk...
Sunday, April 26, 2026
Saturday, April 25, 2026
Friday, April 24, 2026
Thursday, April 23, 2026
Wednesday, April 22, 2026
Tuesday, April 21, 2026
Monday, April 20, 2026
Sunday, April 19, 2026
Saturday, April 18, 2026
New top story on Hacker News: Show HN: AI Subroutines – Run automation scripts inside your browser tab
Show HN: AI Subroutines – Run automation scripts inside your browser tab
6 by arjunchint | 0 comments on Hacker News.
We built AI Subroutines in rtrvr.ai. Record a browser task once, save it as a callable tool, replay it at: zero token cost, zero LLM inference delay, and zero mistakes. The subroutine itself is a deterministic script composed of discovered network calls hitting the site's backend as well as page interactions like click/type/find. The key architectural decision: the script executes inside the webpage itself, not through a proxy, not in a headless worker, not out of process. The script dispatches requests from the tab's execution context, so auth, CSRF, TLS session, and signed headers get added to all requests and propagate for free. No certificate installation, no TLS fingerprint modification, no separate auth stack to maintain. During recording, the extension intercepts network requests (MAIN-world fetch/XHR patch + webRequest fallback). We score and trim ~300 requests down to ~5 based on method, timing relative to DOM events, and origin. Volatile GraphQL operation IDs are detected and force a DOM-only fallback before they break silently on the next run. The generated code combines network calls with DOM actions (click, type, find) in the same function via an rtrvr.* helper namespace. Point the agent at a spreadsheet of 500 rows and with just one LLM call parameters are assigned and 500 Subroutines kicked off. Key use cases: - record sending IG DM, then have reusable and callable routine to send DMs at zero token cost - create routine getting latest products in site catalog, call it to get thousands of products via direct graphql queries - setup routine to file EHR form based on parameters to the tool, AI infers parameters from current page context and calls tool - reuse routine daily to sync outbound messages on LinkedIn/Slack/Gmail to a CRM using a MCP server We see the fundamental reason that browser agents haven't taken off is that for repetitive tasks going through the inference loop is unnecessary. Better to just record once, and get the LLM to generate a script leveraging all the possible ways to interact with a site and the wider web like directly calling backed API's, interacting with the DOM, and calling 3P tools/APIs/MCP servers.
6 by arjunchint | 0 comments on Hacker News.
We built AI Subroutines in rtrvr.ai. Record a browser task once, save it as a callable tool, replay it at: zero token cost, zero LLM inference delay, and zero mistakes. The subroutine itself is a deterministic script composed of discovered network calls hitting the site's backend as well as page interactions like click/type/find. The key architectural decision: the script executes inside the webpage itself, not through a proxy, not in a headless worker, not out of process. The script dispatches requests from the tab's execution context, so auth, CSRF, TLS session, and signed headers get added to all requests and propagate for free. No certificate installation, no TLS fingerprint modification, no separate auth stack to maintain. During recording, the extension intercepts network requests (MAIN-world fetch/XHR patch + webRequest fallback). We score and trim ~300 requests down to ~5 based on method, timing relative to DOM events, and origin. Volatile GraphQL operation IDs are detected and force a DOM-only fallback before they break silently on the next run. The generated code combines network calls with DOM actions (click, type, find) in the same function via an rtrvr.* helper namespace. Point the agent at a spreadsheet of 500 rows and with just one LLM call parameters are assigned and 500 Subroutines kicked off. Key use cases: - record sending IG DM, then have reusable and callable routine to send DMs at zero token cost - create routine getting latest products in site catalog, call it to get thousands of products via direct graphql queries - setup routine to file EHR form based on parameters to the tool, AI infers parameters from current page context and calls tool - reuse routine daily to sync outbound messages on LinkedIn/Slack/Gmail to a CRM using a MCP server We see the fundamental reason that browser agents haven't taken off is that for repetitive tasks going through the inference loop is unnecessary. Better to just record once, and get the LLM to generate a script leveraging all the possible ways to interact with a site and the wider web like directly calling backed API's, interacting with the DOM, and calling 3P tools/APIs/MCP servers.
Friday, April 17, 2026
Thursday, April 16, 2026
Wednesday, April 15, 2026
Tuesday, April 14, 2026
Monday, April 13, 2026
Sunday, April 12, 2026
Saturday, April 11, 2026
Friday, April 10, 2026
Thursday, April 9, 2026
Wednesday, April 8, 2026
Tuesday, April 7, 2026
Monday, April 6, 2026
Sunday, April 5, 2026
Saturday, April 4, 2026
Friday, April 3, 2026
Thursday, April 2, 2026
Wednesday, April 1, 2026
Tuesday, March 31, 2026
Monday, March 30, 2026
Sunday, March 29, 2026
Saturday, March 28, 2026
Friday, March 27, 2026
Thursday, March 26, 2026
Wednesday, March 25, 2026
Tuesday, March 24, 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
80 by doughnutstracks | 158 comments on Hacker News.
https://ift.tt/5AjmxWL
80 by doughnutstracks | 158 comments on Hacker News.
https://ift.tt/5AjmxWL
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
127 by dot_treo | 302 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/3JQ6up5
127 by dot_treo | 302 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/3JQ6up5
Monday, March 23, 2026
Sunday, March 22, 2026
Saturday, March 21, 2026
New top story on Hacker News: Show HN: Joonote – A note-taking app on your lock screen and notification panel
Show HN: Joonote – A note-taking app on your lock screen and notification panel
13 by kilgarenone | 4 comments on Hacker News.
I finally built this app after many years of being sick of unlocking my phone every goddamn time I need to take or view my notes. It particularly sucks when I'm doing my grocery and going down the list. I started building last year June. This is a native app written in Kotlin. And since I'm a 100% Web dev guy, I gotta say this wouldn't have been possible without this AI to assist me. So this isn't "vibe-coded". I simply used the chat interface in Gemini website, manually copy paste codes to build and integrate every single thing in the app! I used gemini to build it just because I was piggybacking on my last company's enterprise subscription. I personally didn't subscribe to any AI (and still don't cuz the free quota seems enough for me :) So I certainly have learnt alot about Android development, architecture patterns, Kotlin syntax, and obeying Google's whims. Can't say I love it all, but for the sake of this app, I will :) Anyway, I finally have the app I wish existed, and I'm using it everyday. It not only does the main thing I needed it to do, but there's also all this stuff: - Make your notes private if you don't want to show them on lock screen. - Create check/to-do lists. - Set one time or recurring reminders. - Full-text search your notes in the app. - Speech-to-text. - Organize your notes with custom or color labels. - Pin the app as a widget on your home screen. - You can auto backup and restore your notes on new install or Android device. - Works offline. - And no funny business happening in the background https://ift.tt/5eyzums It's 30-day trial, then a one-time $9.99 to go Pro forever. I would love you all to check it out, FWIW. Ok thanks!
13 by kilgarenone | 4 comments on Hacker News.
I finally built this app after many years of being sick of unlocking my phone every goddamn time I need to take or view my notes. It particularly sucks when I'm doing my grocery and going down the list. I started building last year June. This is a native app written in Kotlin. And since I'm a 100% Web dev guy, I gotta say this wouldn't have been possible without this AI to assist me. So this isn't "vibe-coded". I simply used the chat interface in Gemini website, manually copy paste codes to build and integrate every single thing in the app! I used gemini to build it just because I was piggybacking on my last company's enterprise subscription. I personally didn't subscribe to any AI (and still don't cuz the free quota seems enough for me :) So I certainly have learnt alot about Android development, architecture patterns, Kotlin syntax, and obeying Google's whims. Can't say I love it all, but for the sake of this app, I will :) Anyway, I finally have the app I wish existed, and I'm using it everyday. It not only does the main thing I needed it to do, but there's also all this stuff: - Make your notes private if you don't want to show them on lock screen. - Create check/to-do lists. - Set one time or recurring reminders. - Full-text search your notes in the app. - Speech-to-text. - Organize your notes with custom or color labels. - Pin the app as a widget on your home screen. - You can auto backup and restore your notes on new install or Android device. - Works offline. - And no funny business happening in the background https://ift.tt/5eyzums It's 30-day trial, then a one-time $9.99 to go Pro forever. I would love you all to check it out, FWIW. Ok thanks!
Friday, March 20, 2026
New top story on Hacker News: Show HN: I made an email app inspired by Arc browser
Show HN: I made an email app inspired by Arc browser
8 by johndamaia | 2 comments on Hacker News.
Email is one of those tools we check daily but its underlying experience didn’t evolve much. I use Gmail, as probably most of you reading this. The Arc browser brought joy and taste to browsing the web. Cursor created a new UX with agents ready to work for you in a handy right panel. I use these three tools every day. Since Arc was acquired by Atlassian, I’ve been wondering: what if I built a new interface that applied Arc’s UX to email rather than browser tabs, while making AI agents easily available to help manage emails, events, and files? I built a frontend PoC to showcase the idea. Try it: https://demo.define.app I’m not sure about it though... Is it worth continuing to explore this idea?
8 by johndamaia | 2 comments on Hacker News.
Email is one of those tools we check daily but its underlying experience didn’t evolve much. I use Gmail, as probably most of you reading this. The Arc browser brought joy and taste to browsing the web. Cursor created a new UX with agents ready to work for you in a handy right panel. I use these three tools every day. Since Arc was acquired by Atlassian, I’ve been wondering: what if I built a new interface that applied Arc’s UX to email rather than browser tabs, while making AI agents easily available to help manage emails, events, and files? I built a frontend PoC to showcase the idea. Try it: https://demo.define.app I’m not sure about it though... Is it worth continuing to explore this idea?
Thursday, March 19, 2026
Wednesday, March 18, 2026
Tuesday, March 17, 2026
Monday, March 16, 2026
New top story on Hacker News: Show HN: Hecate – Call an AI from Signal
Show HN: Hecate – Call an AI from Signal
4 by rhodey | 0 comments on Hacker News.
Hecate is an AI you can voice and video call from Signal iOS and Android. This works by installing Signal into an Android emulator and controlling the virtual camera and microphone. Tinfoil.sh is used for private inference.
4 by rhodey | 0 comments on Hacker News.
Hecate is an AI you can voice and video call from Signal iOS and Android. This works by installing Signal into an Android emulator and controlling the virtual camera and microphone. Tinfoil.sh is used for private inference.
Sunday, March 15, 2026
New top story on Hacker News: Ask HN: How is AI-assisted coding going for you professionally?
Ask HN: How is AI-assisted coding going for you professionally?
52 by svara | 68 comments on Hacker News.
Comment sections on AI threads tend to split into "we're all cooked" and "AI is useless." I'd like to cut through the noise and learn what's actually working and what isn't, from concrete experience. If you've recently used AI tools for professional coding work, tell us about it. What tools did you use? What worked well and why? What challenges did you hit, and how (if at all) did you solve them? Please share enough context (stack, project type, team size, experience level) for others to learn from your experience. The goal is to build a grounded picture of where AI-assisted development actually stands in March 2026, without the hot air.
52 by svara | 68 comments on Hacker News.
Comment sections on AI threads tend to split into "we're all cooked" and "AI is useless." I'd like to cut through the noise and learn what's actually working and what isn't, from concrete experience. If you've recently used AI tools for professional coding work, tell us about it. What tools did you use? What worked well and why? What challenges did you hit, and how (if at all) did you solve them? Please share enough context (stack, project type, team size, experience level) for others to learn from your experience. The goal is to build a grounded picture of where AI-assisted development actually stands in March 2026, without the hot air.
Saturday, March 14, 2026
New top story on Hacker News: Show HN: Ichinichi – One note per day, E2E encrypted, local-first
Show HN: Ichinichi – One note per day, E2E encrypted, local-first
15 by katspaugh | 2 comments on Hacker News.
Look, every journaling app out there wants you to organize things into folders and tags and templates. I just wanted to write something down every day. So I built this. One note per day. That's the whole deal. - Can't edit yesterday. What's done is done. Keeps you from fussing over old entries instead of writing today's. - Year view with dots showing which days you actually wrote. It's a streak chart. Works better than it should. - No signup required. Opens right up, stores everything locally in your browser. Optional cloud sync if you want it - E2E encrypted with AES-GCM, zero-knowledge, the whole nine yards. Tech-wise: React, TypeScript, Vite, Zustand, IndexedDB. Supabase for optional sync. Deployed on Cloudflare. PWA-capable. The name means "one day" in Japanese (いちにち). The read-only past turned out to be the thing that actually made me stick with it. Can't waste time perfecting yesterday if yesterday won't let you in. Live at https://ichinichi.app | Source: https://ift.tt/2t35ULT
15 by katspaugh | 2 comments on Hacker News.
Look, every journaling app out there wants you to organize things into folders and tags and templates. I just wanted to write something down every day. So I built this. One note per day. That's the whole deal. - Can't edit yesterday. What's done is done. Keeps you from fussing over old entries instead of writing today's. - Year view with dots showing which days you actually wrote. It's a streak chart. Works better than it should. - No signup required. Opens right up, stores everything locally in your browser. Optional cloud sync if you want it - E2E encrypted with AES-GCM, zero-knowledge, the whole nine yards. Tech-wise: React, TypeScript, Vite, Zustand, IndexedDB. Supabase for optional sync. Deployed on Cloudflare. PWA-capable. The name means "one day" in Japanese (いちにち). The read-only past turned out to be the thing that actually made me stick with it. Can't waste time perfecting yesterday if yesterday won't let you in. Live at https://ichinichi.app | Source: https://ift.tt/2t35ULT
Friday, March 13, 2026
New top story on Hacker News: John Carmack about open source and anti-AI activists
John Carmack about open source and anti-AI activists
51 by tzury | 25 comments on Hacker News.
https://ift.tt/2E9fmrD
51 by tzury | 25 comments on Hacker News.
https://ift.tt/2E9fmrD
Thursday, March 12, 2026
New top story on Hacker News: The Emotional Labor Behind AI Intimacy (2025) [pdf]
The Emotional Labor Behind AI Intimacy (2025) [pdf]
32 by beepbooptheory | 8 comments on Hacker News.
Related: https://ift.tt/a4UkdfZ... ( https://ift.tt/ihIDEJA )
32 by beepbooptheory | 8 comments on Hacker News.
Related: https://ift.tt/a4UkdfZ... ( https://ift.tt/ihIDEJA )
Wednesday, March 11, 2026
Tuesday, March 10, 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
83 by helloplanets | 236 comments on Hacker News.
https://ift.tt/ESx0vQj... https://ift.tt/0EfRvgd... ( https://ift.tt/5kWqwP9 )
83 by helloplanets | 236 comments on Hacker News.
https://ift.tt/ESx0vQj... https://ift.tt/0EfRvgd... ( https://ift.tt/5kWqwP9 )
Monday, March 9, 2026
Sunday, March 8, 2026
New top story on Hacker News: Show HN: Skir – like Protocol Buffer but better
Show HN: Skir – like Protocol Buffer but better
13 by gepheum | 11 comments on Hacker News.
Why I built Skir: https://ift.tt/QMsSpbF... Quick start: npx skir init All the config lives in one YML file. Website: https://skir.build GitHub: https://ift.tt/RFzE7Bc Would love feedback especially from teams running mixed-language stacks.
13 by gepheum | 11 comments on Hacker News.
Why I built Skir: https://ift.tt/QMsSpbF... Quick start: npx skir init All the config lives in one YML file. Website: https://skir.build GitHub: https://ift.tt/RFzE7Bc Would love feedback especially from teams running mixed-language stacks.
Saturday, March 7, 2026
Friday, March 6, 2026
Thursday, March 5, 2026
Wednesday, March 4, 2026
Tuesday, March 3, 2026
Monday, March 2, 2026
Sunday, March 1, 2026
Saturday, February 28, 2026
Friday, February 27, 2026
New top story on Hacker News: Show HN: Unfudged – version every change between commits - local-first
Show HN: Unfudged – version every change between commits - local-first
12 by cyrusradfar | 11 comments on Hacker News.
I built unf after I pasted a prompt into the wrong agent terminal and it overwrote hours of hand-edits across a handful of files. Git couldn't help because I hadn't finished/committed my in progress work. I wanted something that recorded every save automatically so I could rewind to any point in time. I wanted to make it difficult for an agent to permanently screw anything up, even with an errant rm -rf unf is a background daemon that watches directories you choose (via CLI) and snapshots every text file on save. It stores file contents in an object store, tracks metadata in SQLite, and gives you a CLI to query and restore any version. The install includes a UI, as well to explore the history through time. The tool skips binaries and respects `.gitignore` if one exists. The interface borrows from git so it should feel familiar: unf log , unf diff , unf restore . I say "UN-EF" vs U.N.F, but that's for y'all to decide: I started by calling the project Unfucked and got unfucked.ai, which if you know me and the messes I get myself into, is a fitting purchase. The CLI command is `unf` and the Tauri desktop app is called "Unfudged". How it works: https://ift.tt/ZaH4gT5 (summary below) The daemon uses FSEvents on macOS and inotify on Linux. When a file changes, `unf` hashes the content with BLAKE3 and checks whether that hash already exists in the object store — if it does, it just records a new metadata entry pointing to the existing blob. If not, it writes the blob and records the entry. Each snapshot is a row in SQLite. Restores read the blob back from the object store and overwrite the file, after taking a safety snapshot of the current state first (so restoring is itself reversible). There are two processes. The core daemon does the real work of managing FSEvents/inotify subscriptions across multiple watched directories and writing snapshots. A sentinel watchdog supervises it, kept alive and aligned by launchd on macOS and systemd on Linux. If the daemon crashes, the sentinel respawns it and reconciles any drift between what you asked to watch and what's actually being watched. It was hard to build the second daemon because it felt like conceding that the core wasn't solid enough, but I didn't want to ship a tool that demanded perfection to deliver on the product promise, so the sentinel is the safety net. Fingers crossed, I haven’t seen it crash in over a week of personal usage on my Mac. But, I don't want to trigger "works for me" trauma. The part I like most: On the UI, I enjoy viewing files through time. You can select a time section and filter your projects on a histogram of activity. That has been invaluable in seeing what the agent was doing. On the CLI, the commands are composable. Everything outputs to stdout so you can pipe it into whatever you want. I use these regularly and AI agents are better with the tool than I am: # What did my config look like before we broke it? unf cat nginx.conf --at 1h | nginx -t -c /dev/stdin # Grep through a deleted file unf cat old-routes.rs --at 2d | grep "pub fn" # Count how many lines changed in the last 10 minutes unf diff --at 10m | grep '^[+-]' | wc -l # Feed the last hour of changes to an AI for review unf diff --at 1h | pbcopy # Compare two points in time with your own diff tool diff <(unf cat app.tsx --at 1h) <(unf cat app.tsx --at 5m) # Restore just the .rs files that changed in the last 5 minutes unf diff --at 5m --json | jq -r '.changes[].file' | grep '\.rs$' | xargs -I{} unf restore {} --at 5m # Watch for changes in real time watch -n5 'unf diff --at 30s' What was new for me: I came to Rust in Nov. 2025 honestly because of HN enthusiasm and some FOMO. No regrets. I enjoy the language enough that I'm now working on custom clippy lints to enforce functional programming practices. This project was also my first Apple-notarized DMG, my first Homebrew tap, and my second Tauri app (first one I've shared). Install & Usage: > brew install cyrusradfar/unf/unfudged Then unf watch in a directory. unf help covers the details (or ask your agent to coach).
12 by cyrusradfar | 11 comments on Hacker News.
I built unf after I pasted a prompt into the wrong agent terminal and it overwrote hours of hand-edits across a handful of files. Git couldn't help because I hadn't finished/committed my in progress work. I wanted something that recorded every save automatically so I could rewind to any point in time. I wanted to make it difficult for an agent to permanently screw anything up, even with an errant rm -rf unf is a background daemon that watches directories you choose (via CLI) and snapshots every text file on save. It stores file contents in an object store, tracks metadata in SQLite, and gives you a CLI to query and restore any version. The install includes a UI, as well to explore the history through time. The tool skips binaries and respects `.gitignore` if one exists. The interface borrows from git so it should feel familiar: unf log , unf diff , unf restore . I say "UN-EF" vs U.N.F, but that's for y'all to decide: I started by calling the project Unfucked and got unfucked.ai, which if you know me and the messes I get myself into, is a fitting purchase. The CLI command is `unf` and the Tauri desktop app is called "Unfudged". How it works: https://ift.tt/ZaH4gT5 (summary below) The daemon uses FSEvents on macOS and inotify on Linux. When a file changes, `unf` hashes the content with BLAKE3 and checks whether that hash already exists in the object store — if it does, it just records a new metadata entry pointing to the existing blob. If not, it writes the blob and records the entry. Each snapshot is a row in SQLite. Restores read the blob back from the object store and overwrite the file, after taking a safety snapshot of the current state first (so restoring is itself reversible). There are two processes. The core daemon does the real work of managing FSEvents/inotify subscriptions across multiple watched directories and writing snapshots. A sentinel watchdog supervises it, kept alive and aligned by launchd on macOS and systemd on Linux. If the daemon crashes, the sentinel respawns it and reconciles any drift between what you asked to watch and what's actually being watched. It was hard to build the second daemon because it felt like conceding that the core wasn't solid enough, but I didn't want to ship a tool that demanded perfection to deliver on the product promise, so the sentinel is the safety net. Fingers crossed, I haven’t seen it crash in over a week of personal usage on my Mac. But, I don't want to trigger "works for me" trauma. The part I like most: On the UI, I enjoy viewing files through time. You can select a time section and filter your projects on a histogram of activity. That has been invaluable in seeing what the agent was doing. On the CLI, the commands are composable. Everything outputs to stdout so you can pipe it into whatever you want. I use these regularly and AI agents are better with the tool than I am: # What did my config look like before we broke it? unf cat nginx.conf --at 1h | nginx -t -c /dev/stdin # Grep through a deleted file unf cat old-routes.rs --at 2d | grep "pub fn" # Count how many lines changed in the last 10 minutes unf diff --at 10m | grep '^[+-]' | wc -l # Feed the last hour of changes to an AI for review unf diff --at 1h | pbcopy # Compare two points in time with your own diff tool diff <(unf cat app.tsx --at 1h) <(unf cat app.tsx --at 5m) # Restore just the .rs files that changed in the last 5 minutes unf diff --at 5m --json | jq -r '.changes[].file' | grep '\.rs$' | xargs -I{} unf restore {} --at 5m # Watch for changes in real time watch -n5 'unf diff --at 30s' What was new for me: I came to Rust in Nov. 2025 honestly because of HN enthusiasm and some FOMO. No regrets. I enjoy the language enough that I'm now working on custom clippy lints to enforce functional programming practices. This project was also my first Apple-notarized DMG, my first Homebrew tap, and my second Tauri app (first one I've shared). Install & Usage: > brew install cyrusradfar/unf/unfudged Then unf watch in a directory. unf help covers the details (or ask your agent to coach).
Thursday, February 26, 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
9 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/KSyoRtG
9 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/KSyoRtG
Wednesday, February 25, 2026
Tuesday, February 24, 2026
Monday, February 23, 2026
New top story on Hacker News: Show HN: Shibuya – A High-Performance WAF in Rust with eBPF and ML Engine
Show HN: Shibuya – A High-Performance WAF in Rust with eBPF and ML Engine
10 by germainluperto | 1 comments on Hacker News.
Hi HN, I’ve been working on Shibuya, a next-generation Web Application Firewall (WAF) built from the ground up in Rust. I wanted to build a WAF that didn't just rely on legacy regex signatures but could understand intent and perform at line-rate using modern kernel features. What makes Shibuya different: Multi-Layer Pipeline: It integrates a high-performance proxy (built on Pingora) with rate limiting, bot detection, and threat intelligence. eBPF Kernel Filtering: For volumetric attacks, Shibuya can drop malicious packets at the kernel level using XDP before they consume userspace resources. Dual ML Engine: It uses an ONNX-based engine for anomaly detection and a Random Forest classifier to identify specific attack classes like SQLi, XSS, and RCE. API & GraphQL Protection: Includes deep inspection for GraphQL (depth and complexity analysis) and OpenAPI schema validation. WASM Extensibility: You can write and hot-load custom security logic using WebAssembly plugins. Ashigaru Lab: The project includes a deliberately vulnerable lab environment with 6 different services and a "Red Team Bot" to test the WAF against 100+ simulated payloads. The Dashboard: The dashboard is built with SvelteKit and offers real-time monitoring (ECharts), a "Panic Mode" for instant hardening, and a visual editor for the YAML configuration. I'm looking for feedback on the architecture and the performance of the Rust-eBPF integration.
10 by germainluperto | 1 comments on Hacker News.
Hi HN, I’ve been working on Shibuya, a next-generation Web Application Firewall (WAF) built from the ground up in Rust. I wanted to build a WAF that didn't just rely on legacy regex signatures but could understand intent and perform at line-rate using modern kernel features. What makes Shibuya different: Multi-Layer Pipeline: It integrates a high-performance proxy (built on Pingora) with rate limiting, bot detection, and threat intelligence. eBPF Kernel Filtering: For volumetric attacks, Shibuya can drop malicious packets at the kernel level using XDP before they consume userspace resources. Dual ML Engine: It uses an ONNX-based engine for anomaly detection and a Random Forest classifier to identify specific attack classes like SQLi, XSS, and RCE. API & GraphQL Protection: Includes deep inspection for GraphQL (depth and complexity analysis) and OpenAPI schema validation. WASM Extensibility: You can write and hot-load custom security logic using WebAssembly plugins. Ashigaru Lab: The project includes a deliberately vulnerable lab environment with 6 different services and a "Red Team Bot" to test the WAF against 100+ simulated payloads. The Dashboard: The dashboard is built with SvelteKit and offers real-time monitoring (ECharts), a "Panic Mode" for instant hardening, and a visual editor for the YAML configuration. I'm looking for feedback on the architecture and the performance of the Rust-eBPF integration.
Sunday, February 22, 2026
Saturday, February 21, 2026
Friday, February 20, 2026
New top story on Hacker News: KFC, Nando's, and others ditch chicken welfare pledge
KFC, Nando's, and others ditch chicken welfare pledge
27 by penguin_booze | 6 comments on Hacker News.
27 by penguin_booze | 6 comments on Hacker News.
Thursday, February 19, 2026
Wednesday, February 18, 2026
Tuesday, February 17, 2026
Monday, February 16, 2026
Sunday, February 15, 2026
Saturday, February 14, 2026
Friday, February 13, 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
7 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/XuI5JgZ ) and owning your email ( https://ift.tt/N3ds8uE ). 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/GS6m0Hk... Happy to discuss the Rust architecture, security model, or local LLM setup. Would love feedback.
7 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/XuI5JgZ ) and owning your email ( https://ift.tt/N3ds8uE ). 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/GS6m0Hk... Happy to discuss the Rust architecture, security model, or local LLM setup. Would love feedback.
Thursday, February 12, 2026
New top story on Hacker News: Show HN: Pgclaw – A "Clawdbot" in every row with 400 lines of Postgres SQL
Show HN: Pgclaw – A "Clawdbot" in every row with 400 lines of Postgres SQL
8 by calebhwin | 3 comments on Hacker News.
Hi HN, Been hacking on a simple way to run agents entirely inside of a Postgres database, "an agent per row". Things you could build with this: * Your own agent orchestrator * A personal assistant with time travel * (more things I can't think of yet) Not quite there yet but thought I'd share it in its current state.
8 by calebhwin | 3 comments on Hacker News.
Hi HN, Been hacking on a simple way to run agents entirely inside of a Postgres database, "an agent per row". Things you could build with this: * Your own agent orchestrator * A personal assistant with time travel * (more things I can't think of yet) Not quite there yet but thought I'd share it in its current state.
Wednesday, February 11, 2026
Tuesday, February 10, 2026
New top story on Hacker News: Show HN: HN Companion – web app that enhances the experience of reading HN
Show HN: HN Companion – web app that enhances the experience of reading HN
8 by georgeck | 2 comments on Hacker News.
HN is all about the rich discussions. We wanted to take the HN experience one step further - to bring the familiar keyboard-first navigation, find interesting viewpoints in the threads and get a gist of long threads so that we can decide which rabbit holes to explore. So we built HN Companion a year ago, and have been refining it ever since. Try it: https://ift.tt/QJhH3w0 or available as an extension for Firefox / Chrome: [0]. Most AI summarization strips the voices from conversations by flattening threads into a wall of text. This kills the joy of reading HN discussions. Instead, HN Companion works differently - it understands the thread hierarchy, the voting patterns and contrasting viewpoints - everything that makes HN interesting. Think of it like clustering related discussions across multiple hierarchies into a group and surfacing the comments that represent each cluster. It keeps the verbatim text with backlinks so that you never lose context and can continue the conversation from that point. Here is how the summarization works under the hood [1]. We first built this as an open source browser extension. But soon we learned that people hesitate to install it. So we built the same experience as a web app with all the features. This helped people see how it works, and use it on mobile too (in the browser or as PWA). This is now a playground to try new features before taking them to the browser extension. We did a Show HN a year ago [2] and we have added these features based on user feedback: * cached summaries - summaries are generated and cached on our servers. This improved the speed significantly. You still have the option to use your own API key or use local models through Ollama. * our system prompt is available in the Settings page of the extension. You can customize it as you wish. * sort the posts in the feed pages (/home, /show etc.) based on points, comments, time or the default sorting order. * We tried fine tuning an open weights model to summarize, but learned that with a good system prompt and user prompt, the frontier models deliver results of similar quality. So we didn’t use the fine-tuned model, but you can run them locally. The browser extension does not track any usage or analytics. The code is open source[3]. We want to continue to improve HN Companion, specifically add features like following an author, notes about an author, draft posts etc. See it in action for a post here https://ift.tt/E6Dt8TH We would love to get your feedback on what would make this more useful for your HN reading. [0] https://ift.tt/F93hENT [1] https://ift.tt/A1YCkH4 [2] https://ift.tt/oi0hv28 [3] https://ift.tt/Q4GcUiz
8 by georgeck | 2 comments on Hacker News.
HN is all about the rich discussions. We wanted to take the HN experience one step further - to bring the familiar keyboard-first navigation, find interesting viewpoints in the threads and get a gist of long threads so that we can decide which rabbit holes to explore. So we built HN Companion a year ago, and have been refining it ever since. Try it: https://ift.tt/QJhH3w0 or available as an extension for Firefox / Chrome: [0]. Most AI summarization strips the voices from conversations by flattening threads into a wall of text. This kills the joy of reading HN discussions. Instead, HN Companion works differently - it understands the thread hierarchy, the voting patterns and contrasting viewpoints - everything that makes HN interesting. Think of it like clustering related discussions across multiple hierarchies into a group and surfacing the comments that represent each cluster. It keeps the verbatim text with backlinks so that you never lose context and can continue the conversation from that point. Here is how the summarization works under the hood [1]. We first built this as an open source browser extension. But soon we learned that people hesitate to install it. So we built the same experience as a web app with all the features. This helped people see how it works, and use it on mobile too (in the browser or as PWA). This is now a playground to try new features before taking them to the browser extension. We did a Show HN a year ago [2] and we have added these features based on user feedback: * cached summaries - summaries are generated and cached on our servers. This improved the speed significantly. You still have the option to use your own API key or use local models through Ollama. * our system prompt is available in the Settings page of the extension. You can customize it as you wish. * sort the posts in the feed pages (/home, /show etc.) based on points, comments, time or the default sorting order. * We tried fine tuning an open weights model to summarize, but learned that with a good system prompt and user prompt, the frontier models deliver results of similar quality. So we didn’t use the fine-tuned model, but you can run them locally. The browser extension does not track any usage or analytics. The code is open source[3]. We want to continue to improve HN Companion, specifically add features like following an author, notes about an author, draft posts etc. See it in action for a post here https://ift.tt/E6Dt8TH We would love to get your feedback on what would make this more useful for your HN reading. [0] https://ift.tt/F93hENT [1] https://ift.tt/A1YCkH4 [2] https://ift.tt/oi0hv28 [3] https://ift.tt/Q4GcUiz
Monday, February 9, 2026
Sunday, February 8, 2026
Saturday, February 7, 2026
Friday, February 6, 2026
New top story on Hacker News: Show HN: Daily-updated database of malicious browser extensions
Show HN: Daily-updated database of malicious browser extensions
7 by toborrm9 | 3 comments on Hacker News.
Hey HN, I built an automated system that tracks malicious Chrome/Edge extensions daily. The database updates automatically by monitoring chrome-stats for removed extensions and scanning security blogs. Currently tracking 1000+ known malicious extensions with extension IDs, names, and dates. I'm working on detection tools (GUI + CLI) to scan locally installed extensions against this database, but wanted to share the raw data first since maintained threat intelligence lists like this are hard to find. The automation runs 24/7 and pushes updates to GitHub. Free to use for research, integration into security tools, or whatever you need. Happy to answer questions about the scraping approach or data collection methods.
7 by toborrm9 | 3 comments on Hacker News.
Hey HN, I built an automated system that tracks malicious Chrome/Edge extensions daily. The database updates automatically by monitoring chrome-stats for removed extensions and scanning security blogs. Currently tracking 1000+ known malicious extensions with extension IDs, names, and dates. I'm working on detection tools (GUI + CLI) to scan locally installed extensions against this database, but wanted to share the raw data first since maintained threat intelligence lists like this are hard to find. The automation runs 24/7 and pushes updates to GitHub. Free to use for research, integration into security tools, or whatever you need. Happy to answer questions about the scraping approach or data collection methods.
Thursday, February 5, 2026
Wednesday, February 4, 2026
Tuesday, February 3, 2026
New top story on Hacker News: Show HN: PII-Shield – Log Sanitization Sidecar with JSON Integrity (Go, Entropy)
Show HN: PII-Shield – Log Sanitization Sidecar with JSON Integrity (Go, Entropy)
5 by aragoss | 1 comments on Hacker News.
What PII-Shield does: It's a K8s sidecar (or CLI tool) that pipes application logs, detects secrets using Shannon entropy (catching unknown keys like "sk-live-..." without predefined patterns), and redacts them deterministically using HMAC. Why deterministic? So that "pass123" always hashes to the same "[HIDDEN:a1b2c]", allowing QA/Devs to correlate errors without seeing the raw data. Key features: 1. JSON Integrity: It parses JSON, sanitizes values, and rebuilds it. It guarantees valid JSON output for your SIEM (ELK/Datadog). 2. Entropy Detection: Uses context-aware entropy analysis to catch high-randomness strings. 3. Fail-Open: Designed as a transparent pipe wrapper to preserve app uptime. The project is open-source (Apache 2.0). Repo: https://ift.tt/HKyvbBL Docs: https://pii-shield.gitbook.io/docs/ I'd love your feedback on the entropy/threshold logic!
5 by aragoss | 1 comments on Hacker News.
What PII-Shield does: It's a K8s sidecar (or CLI tool) that pipes application logs, detects secrets using Shannon entropy (catching unknown keys like "sk-live-..." without predefined patterns), and redacts them deterministically using HMAC. Why deterministic? So that "pass123" always hashes to the same "[HIDDEN:a1b2c]", allowing QA/Devs to correlate errors without seeing the raw data. Key features: 1. JSON Integrity: It parses JSON, sanitizes values, and rebuilds it. It guarantees valid JSON output for your SIEM (ELK/Datadog). 2. Entropy Detection: Uses context-aware entropy analysis to catch high-randomness strings. 3. Fail-Open: Designed as a transparent pipe wrapper to preserve app uptime. The project is open-source (Apache 2.0). Repo: https://ift.tt/HKyvbBL Docs: https://pii-shield.gitbook.io/docs/ I'd love your feedback on the entropy/threshold logic!
Monday, February 2, 2026
Sunday, February 1, 2026
Saturday, January 31, 2026
New top story on Hacker News: US has investigated claims WhatsApp chats aren't private
US has investigated claims WhatsApp chats aren't private
7 by 1vuio0pswjnm7 | 183 comments on Hacker News.
https://ift.tt/oy0dAnH https://ift.tt/C38mIZc...
7 by 1vuio0pswjnm7 | 183 comments on Hacker News.
https://ift.tt/oy0dAnH https://ift.tt/C38mIZc...
Friday, January 30, 2026
Thursday, January 29, 2026
Wednesday, January 28, 2026
New top story on Hacker News: Show HN: SHDL – A minimal hardware description language built from logic gates
Show HN: SHDL – A minimal hardware description language built from logic gates
3 by rafa_rrayes | 0 comments on Hacker News.
Hi, everyone! I built SHDL (Simple Hardware Description Language) as an experiment in stripping hardware description down to its absolute fundamentals. In SHDL, there are no arithmetic operators, no implicit bit widths, and no high-level constructs. You build everything explicitly from logic gates and wires, and then compose larger components hierarchically. The goal is not synthesis or performance, but understanding: what digital systems actually look like when abstractions are removed. SHDL is accompanied by PySHDL, a Python interface that lets you load circuits, poke inputs, step the simulation, and observe outputs. Under the hood, SHDL compiles circuits to C for fast execution, but the language itself remains intentionally small and transparent. This is not meant to replace Verilog or VHDL. It’s aimed at: - learning digital logic from first principles - experimenting with HDL and language design - teaching or visualizing how complex hardware emerges from simple gates. I would especially appreciate feedback on: - the language design choices - what feels unnecessarily restrictive vs. educationally valuable - whether this kind of “anti-abstraction” HDL is useful to you. Repo: https://ift.tt/badwTOC Python package: PySHDL on PyPI To make this concrete, here are a few small working examples written in SHDL: 1. Full Adder component FullAdder(A, B, Cin) -> (Sum, Cout) { x1: XOR; a1: AND; x2: XOR; a2: AND; o1: OR; connect { A -> x1.A; B -> x1.B; A -> a1.A; B -> a1.B; x1.O -> x2.A; Cin -> x2.B; x1.O -> a2.A; Cin -> a2.B; a1.O -> o1.A; a2.O -> o1.B; x2.O -> Sum; o1.O -> Cout; } } 2. 16 bit register # clk must be high for two cycles to store a value component Register16(In[16], clk) -> (Out[16]) { >i[16]{ a1{i}: AND; a2{i}: AND; not1{i}: NOT; nor1{i}: NOR; nor2{i}: NOR; } connect { >i[16]{ # Capture on clk In[{i}] -> a1{i}.A; In[{i}] -> not1{i}.A; not1{i}.O -> a2{i}.A; clk -> a1{i}.B; clk -> a2{i}.B; a1{i}.O -> nor1{i}.A; a2{i}.O -> nor2{i}.A; nor1{i}.O -> nor2{i}.B; nor2{i}.O -> nor1{i}.B; nor2{i}.O -> Out[{i}]; } } } 3. 16-bit Ripple-Carry Adder use fullAdder::{FullAdder}; component Adder16(A[16], B[16], Cin) -> (Sum[16], Cout) { >i[16]{ fa{i}: FullAdder; } connect { A[1] -> fa1.A; B[1] -> fa1.B; Cin -> fa1.Cin; fa1.Sum -> Sum[1]; >i[2,16]{ A[{i}] -> fa{i}.A; B[{i}] -> fa{i}.B; fa{i-1}.Cout -> fa{i}.Cin; fa{i}.Sum -> Sum[{i}]; } fa16.Cout -> Cout; } }
3 by rafa_rrayes | 0 comments on Hacker News.
Hi, everyone! I built SHDL (Simple Hardware Description Language) as an experiment in stripping hardware description down to its absolute fundamentals. In SHDL, there are no arithmetic operators, no implicit bit widths, and no high-level constructs. You build everything explicitly from logic gates and wires, and then compose larger components hierarchically. The goal is not synthesis or performance, but understanding: what digital systems actually look like when abstractions are removed. SHDL is accompanied by PySHDL, a Python interface that lets you load circuits, poke inputs, step the simulation, and observe outputs. Under the hood, SHDL compiles circuits to C for fast execution, but the language itself remains intentionally small and transparent. This is not meant to replace Verilog or VHDL. It’s aimed at: - learning digital logic from first principles - experimenting with HDL and language design - teaching or visualizing how complex hardware emerges from simple gates. I would especially appreciate feedback on: - the language design choices - what feels unnecessarily restrictive vs. educationally valuable - whether this kind of “anti-abstraction” HDL is useful to you. Repo: https://ift.tt/badwTOC Python package: PySHDL on PyPI To make this concrete, here are a few small working examples written in SHDL: 1. Full Adder component FullAdder(A, B, Cin) -> (Sum, Cout) { x1: XOR; a1: AND; x2: XOR; a2: AND; o1: OR; connect { A -> x1.A; B -> x1.B; A -> a1.A; B -> a1.B; x1.O -> x2.A; Cin -> x2.B; x1.O -> a2.A; Cin -> a2.B; a1.O -> o1.A; a2.O -> o1.B; x2.O -> Sum; o1.O -> Cout; } } 2. 16 bit register # clk must be high for two cycles to store a value component Register16(In[16], clk) -> (Out[16]) { >i[16]{ a1{i}: AND; a2{i}: AND; not1{i}: NOT; nor1{i}: NOR; nor2{i}: NOR; } connect { >i[16]{ # Capture on clk In[{i}] -> a1{i}.A; In[{i}] -> not1{i}.A; not1{i}.O -> a2{i}.A; clk -> a1{i}.B; clk -> a2{i}.B; a1{i}.O -> nor1{i}.A; a2{i}.O -> nor2{i}.A; nor1{i}.O -> nor2{i}.B; nor2{i}.O -> nor1{i}.B; nor2{i}.O -> Out[{i}]; } } } 3. 16-bit Ripple-Carry Adder use fullAdder::{FullAdder}; component Adder16(A[16], B[16], Cin) -> (Sum[16], Cout) { >i[16]{ fa{i}: FullAdder; } connect { A[1] -> fa1.A; B[1] -> fa1.B; Cin -> fa1.Cin; fa1.Sum -> Sum[1]; >i[2,16]{ A[{i}] -> fa{i}.A; B[{i}] -> fa{i}.B; fa{i-1}.Cout -> fa{i}.Cin; fa{i}.Sum -> Sum[{i}]; } fa16.Cout -> Cout; } }
Tuesday, January 27, 2026
New top story on Hacker News: A few random notes from Claude coding quite a bit last few weeks
A few random notes from Claude coding quite a bit last few weeks
52 by bigwheels | 68 comments on Hacker News.
https://ift.tt/GA9S5Ux
52 by bigwheels | 68 comments on Hacker News.
https://ift.tt/GA9S5Ux
Monday, January 26, 2026
Sunday, January 25, 2026
Saturday, January 24, 2026
New top story on Hacker News: Ask HN: Gmail spam filtering suddenly marking everything as spam?
Ask HN: Gmail spam filtering suddenly marking everything as spam?
32 by goopthink | 46 comments on Hacker News.
Almost all transactional emails are being marked as suspicious even when their SPF/DKIM records are fine and they’ve been whitelisted before. Did Google break something in gmail/spam filtering?
32 by goopthink | 46 comments on Hacker News.
Almost all transactional emails are being marked as suspicious even when their SPF/DKIM records are fine and they’ve been whitelisted before. Did Google break something in gmail/spam filtering?
Friday, January 23, 2026
Thursday, January 22, 2026
New top story on Hacker News: Show HN: Synesthesia, make noise music with a colorpicker
Show HN: Synesthesia, make noise music with a colorpicker
3 by tevans3 | 0 comments on Hacker News.
This is a (silly, little) app which lets you make noise music using a color picker as an instrument. When you click on a specific point in the color picker, a bit of JavaScript maps the binary representation of the clicked-on color's hex-code to a "chord" in the 24 tone-equal-temperament scale. That chord is then played back using a throttled audio generation method which was implemented via Tone.js. NOTE! Turn the volume way down before using the site. It is noise music. :)
3 by tevans3 | 0 comments on Hacker News.
This is a (silly, little) app which lets you make noise music using a color picker as an instrument. When you click on a specific point in the color picker, a bit of JavaScript maps the binary representation of the clicked-on color's hex-code to a "chord" in the 24 tone-equal-temperament scale. That chord is then played back using a throttled audio generation method which was implemented via Tone.js. NOTE! Turn the volume way down before using the site. It is noise music. :)
Wednesday, January 21, 2026
Tuesday, January 20, 2026
Monday, January 19, 2026
Sunday, January 18, 2026
Saturday, January 17, 2026
New top story on Hacker News: For me, Hacker News is probably the best community on the internet
For me, Hacker News is probably the best community on the internet
14 by DenisDolya | 6 comments on Hacker News.
For me, Hacker News is probably the best community on the internet. It’s not like others. Take Reddit, for example: at first glance it seems better, with tons of subreddits. But for a beginner, there is no real main entrance. With a new account, it’s a challenge - first you wait 5 days, then you need to earn karma just to post or comment in popular subreddits. On Twitter, you have to spend a long time building followers, or buy a checkmark, just to get access to recommendations. On Hacker News, everything feels right even if you are a beginner. Your post appears in the “new” feed, where everyone can see it. Karma is not so limiting here. At the start, you can make one post a day and a few comments, and after reaching just 10 karma, you become almost a full user - free to participate, contribute, and enjoy the platform. Hacker News is a place that survived the revolution of the modern internet and remained true to itself. A place without subscribers, paid boosts, or artificial promotion. The most important thing that keeps this world going is our elders people who preserve this spirit with discipline, guiding others who may have strayed from the path. HN is where the good, clean internet has survived after all these years. And I truly hope it will always stay this way. Thanks, HN.
14 by DenisDolya | 6 comments on Hacker News.
For me, Hacker News is probably the best community on the internet. It’s not like others. Take Reddit, for example: at first glance it seems better, with tons of subreddits. But for a beginner, there is no real main entrance. With a new account, it’s a challenge - first you wait 5 days, then you need to earn karma just to post or comment in popular subreddits. On Twitter, you have to spend a long time building followers, or buy a checkmark, just to get access to recommendations. On Hacker News, everything feels right even if you are a beginner. Your post appears in the “new” feed, where everyone can see it. Karma is not so limiting here. At the start, you can make one post a day and a few comments, and after reaching just 10 karma, you become almost a full user - free to participate, contribute, and enjoy the platform. Hacker News is a place that survived the revolution of the modern internet and remained true to itself. A place without subscribers, paid boosts, or artificial promotion. The most important thing that keeps this world going is our elders people who preserve this spirit with discipline, guiding others who may have strayed from the path. HN is where the good, clean internet has survived after all these years. And I truly hope it will always stay this way. Thanks, HN.
Friday, January 16, 2026
New top story on Hacker News: The Alignment Game
The Alignment Game
8 by dmvaldman | 0 comments on Hacker News.
https://docs.google.com/spreadsheets/d/1BYh9ZtEv4k7xoSXmtf1q...
8 by dmvaldman | 0 comments on Hacker News.
https://docs.google.com/spreadsheets/d/1BYh9ZtEv4k7xoSXmtf1q...
Thursday, January 15, 2026
Wednesday, January 14, 2026
New top story on Hacker News: Show HN: A fast CLI and MCP server for managing Lambda cloud GPU instances
Show HN: A fast CLI and MCP server for managing Lambda cloud GPU instances
2 by odedfalik | 2 comments on Hacker News.
I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an unofficial community project, not affiliated with Lambda.
2 by odedfalik | 2 comments on Hacker News.
I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an unofficial community project, not affiliated with Lambda.
Tuesday, January 13, 2026
Monday, January 12, 2026
New top story on Hacker News: Unauthenticated remote code execution in OpenCode
Unauthenticated remote code execution in OpenCode
30 by CyberShadow | 1 comments on Hacker News.
Previous versions of OpenCode started a server which allowed any website visited in a web browser to execute arbitrary commands on the local machine. Make sure you are using v1.1.10 or newer; see link for more details.
30 by CyberShadow | 1 comments on Hacker News.
Previous versions of OpenCode started a server which allowed any website visited in a web browser to execute arbitrary commands on the local machine. Make sure you are using v1.1.10 or newer; see link for more details.
Subscribe to:
Posts (Atom)