The best Hacker News stories from Show from the past day
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Show HN: NASA Artemis II Mission Timeline Tracker
Show HN: Flight-Viz – 10K flights on a 3D globe in 3.5MB of Rust+WASM
I built a real-time flight tracker that renders 10,000+ aircraft on an interactive 3D globe, entirely in the browser using Rust compiled to WebAssembly.
Show HN: I built a DNS resolver from scratch in Rust – no DNS libraries
I built a DNS resolver that lets me use <a href="https://frontend.numa" rel="nofollow">https://frontend.numa</a> instead of localhost:5173
— auto-generated TLS certs, WebSocket passthrough, path routing. No mkcert, no nginx, no /etc/hosts.
Show HN: Dull – Instagram Without Reels, YouTube Without Shorts (iOS)
I kept deleting and redownloading Instagram because I couldn't stop watching Reels but needed the app for DMs. Tried screen time limits, just overrode them. So I built this.<p>Dull loads Instagram, YouTube, Facebook, and X and filters out short-form content with a mix of CSS and JS injection. MutationObserver handles anything that lazy-loads after the page renders, which is most of the annoying stuff since these platforms love to load content dynamically.<p>The ongoing work is maintaining the filters. Platforms change their DOM all the time, Instagram obfuscates class names, YouTube restructures how Shorts appear in the feed, etc. It's a cat-and-mouse thing that never really ends.<p>Also has grayscale mode, time limits, and usage tracking.<p>Happy to answer questions.
Show HN: Real-time dashboard for Claude Code agent teams
This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output.<p>A few interesting learnings from building and using this:<p>- Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks<p>- Hooks provide a lot more useful info than OTEL data<p>- Claude's jsonl files provide the full picture<p>- Lifecycle management of MCP processes started by plugins is a bit kludgy at best<p>The biggest takeaway is how much of a difference it made in claude performance when I switched to background (fire and forget) hooks and removed all other plugins. It's easy to forget how many claude plugins I've installed and how they effect performance.<p>The Agents Observe plugin uses docker to start the API and dashboard service. This is a pattern I'd love to see used more often for security (think Axios hack) reasons. The tricky bit was handling process management across multiple claude instances - the solution was to have the server track active connections then auto shut itself down when not in use. Then the plugin spins it back up when a new session is started.<p>This tool has been incredibly useful for my own daily workflow. Enjoy!
Show HN: Baton – A desktop app for developing with AI agents
Hi,<p>I built this because running multiple Claude Code agents across multiple IDE and terminal windows was getting messy. Like many, I went from working at one thing at the time, to multiple, and it was all changing quite fast.<p>I needed one place to see all my agents and worktrees, seamlessly switch between them, monitor their status and once their done, review their changes. I also wanted to quickly spin up new agents in isolated worktrees whenever an idea came to mind.<p>I've been building Baton from within Baton for a while now, which has been a pretty fun loop. Would love to hear what you think!
Show HN: Sycamore – next gen Rust web UI library using fine-grained reactivity
Show HN: Sycamore – next gen Rust web UI library using fine-grained reactivity
Show HN: Zerobox – Sandbox any command with file, network, credential controls
I'm excited to introduce Zerobox, a cross-platform, single binary process sandboxing CLI written in Rust. It uses the sandboxing crates from the OpenAI Codex repo and adds additional functionalities like secret injection, SDK, etc.<p>Watch the demo: <a href="https://www.youtube.com/watch?v=wZiPm9BOPCg" rel="nofollow">https://www.youtube.com/watch?v=wZiPm9BOPCg</a><p>Zerobox follows the same sandboxing policy as Deno which is deny by default. The only operation that the command can run is reading files, all writes and network I/O are blocked by default. No VMs, no Docker, no remote servers.<p>Want to block reads to /etc?<p><pre><code> zerobox --deny-read=/etc -- cat /etc/passwd
cat: /etc/passwd: Operation not permitted
</code></pre>
How it works:<p>Zerobox wraps any commands/programs, runs an MITM proxy and uses the native sandboxing solutions on each operating system (e.g BubbleWrap on Linux) to run the given process in a sandbox. The MITM proxy has two jobs: blocking network calls and injecting credentials at the network level.<p>Think of it this way, I want to inject "Bearer OPENAI_API_KEY" but I don't want my sandboxed command to know about it, Zerobox does that by replacing "OPENAI_API_KEY" with a placeholder, then replaces it when the actual outbound network call is made, see this example:<p><pre><code> zerobox --secret OPENAI_API_KEY=$OPENAI_API_KEY --secret-host OPENAI_API_KEY=api.openai.com -- bun agent.ts
</code></pre>
Zerobox is different than other sandboxing solutions in the sense that it would allow you to easily sandbox any commands locally and it works the same on all platforms. I've been exploring different sandboxing solutions, including Firecracker VMs locally, and this is the closest I was able to get when it comes to sandboxing commands locally.<p>The next thing I'm exploring is `zerobox claude` or `zerobox openclaw` which would wrap the entire agent and preload the correct policy profiles.<p>I'd love to hear your feedback, especially if you are running AI Agents (e.g. OpenClaw), MCPs, AI Tools locally.
Show HN: Zerobox – Sandbox any command with file, network, credential controls
I'm excited to introduce Zerobox, a cross-platform, single binary process sandboxing CLI written in Rust. It uses the sandboxing crates from the OpenAI Codex repo and adds additional functionalities like secret injection, SDK, etc.<p>Watch the demo: <a href="https://www.youtube.com/watch?v=wZiPm9BOPCg" rel="nofollow">https://www.youtube.com/watch?v=wZiPm9BOPCg</a><p>Zerobox follows the same sandboxing policy as Deno which is deny by default. The only operation that the command can run is reading files, all writes and network I/O are blocked by default. No VMs, no Docker, no remote servers.<p>Want to block reads to /etc?<p><pre><code> zerobox --deny-read=/etc -- cat /etc/passwd
cat: /etc/passwd: Operation not permitted
</code></pre>
How it works:<p>Zerobox wraps any commands/programs, runs an MITM proxy and uses the native sandboxing solutions on each operating system (e.g BubbleWrap on Linux) to run the given process in a sandbox. The MITM proxy has two jobs: blocking network calls and injecting credentials at the network level.<p>Think of it this way, I want to inject "Bearer OPENAI_API_KEY" but I don't want my sandboxed command to know about it, Zerobox does that by replacing "OPENAI_API_KEY" with a placeholder, then replaces it when the actual outbound network call is made, see this example:<p><pre><code> zerobox --secret OPENAI_API_KEY=$OPENAI_API_KEY --secret-host OPENAI_API_KEY=api.openai.com -- bun agent.ts
</code></pre>
Zerobox is different than other sandboxing solutions in the sense that it would allow you to easily sandbox any commands locally and it works the same on all platforms. I've been exploring different sandboxing solutions, including Firecracker VMs locally, and this is the closest I was able to get when it comes to sandboxing commands locally.<p>The next thing I'm exploring is `zerobox claude` or `zerobox openclaw` which would wrap the entire agent and preload the correct policy profiles.<p>I'd love to hear your feedback, especially if you are running AI Agents (e.g. OpenClaw), MCPs, AI Tools locally.
Show HN: Git bayesect – Bayesian Git bisection for non-deterministic bugs
Show HN: Git bayesect – Bayesian Git bisection for non-deterministic bugs
Show HN: CLI to order groceries via reverse-engineered REWE API (Haskell)
I just had the best time learning about the REWE (German supermarket chain) API, how they use mTLS and what the workflows are. Also `mitmproxy2swagger`[1] is a great tool to create OpenAPI spec automatically.<p>And then 2026 feels like the perfect time writing Haskell. The code is handwritten, but whenever I got stuck with the build system or was just not getting the types right, I could fall back to ask AI to unblock me. It was never that smooth before.<p>Finally the best side projects are the ones you actually use and this one will be used for all my future grocery shopping.<p>[1]<a href="https://github.com/alufers/mitmproxy2swagger" rel="nofollow">https://github.com/alufers/mitmproxy2swagger</a>
Show HN: CLI to order groceries via reverse-engineered REWE API (Haskell)
I just had the best time learning about the REWE (German supermarket chain) API, how they use mTLS and what the workflows are. Also `mitmproxy2swagger`[1] is a great tool to create OpenAPI spec automatically.<p>And then 2026 feels like the perfect time writing Haskell. The code is handwritten, but whenever I got stuck with the build system or was just not getting the types right, I could fall back to ask AI to unblock me. It was never that smooth before.<p>Finally the best side projects are the ones you actually use and this one will be used for all my future grocery shopping.<p>[1]<a href="https://github.com/alufers/mitmproxy2swagger" rel="nofollow">https://github.com/alufers/mitmproxy2swagger</a>
Show HN: Loreline, narrative language transpiled via Haxe: C++/C#/JS/Java/Py/Lua
Show HN: I turned a sketch into a 3D-print pegboard for my kid with an AI agent
We have pegboards and plywood all over our apartment, and I had an idea to make a tiny pegboard for my kid, Oli. So I naturally cut the wood, drilled in the holes, sat down at the computer to open Fusion 360 and spend an hour or two drawing the pieces by hand.<p>Then I looked at the rough sketch Oli and I had made together, took a photo of it, pasted it into Codex, and gave it just two dimensions: the holes are 40mm apart and the pegs are 8mm wide.<p>To my surprise, 5 minutes later my 3D printer was heating up and printing the first set.<p>I ran it a few times to tune the dimensions for ideal fit, but I am posting the final result as a repository in case anyone else wants to print one, tweak it, or have fun with it too. I am already printing another one to hang on our front door instead of a wreath, so people visiting us have something fun and intriguing to play with while they knock.<p>This is also going onto my list of weird uses of AI from the last few months.
Show HN: 1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs
Show HN: 1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs
Show HN: 1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs
Show HN: Postgres extension for BM25 relevance-ranked full-text search
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too.<p>The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy.<p>Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window.<p>I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows.<p>It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you:<p><a href="https://github.com/timescale/pg_textsearch" rel="nofollow">https://github.com/timescale/pg_textsearch</a><p>In the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale:<p><a href="https://www.tigerdata.com/blog/pg-textsearch-bm25-full-text-search-postgres" rel="nofollow">https://www.tigerdata.com/blog/pg-textsearch-bm25-full-text-...</a><p>It's exciting (and, to be honest, a little unnerving) to see a field I've spent so much time toiling in change so quickly in ways that enable us to be more ambitious in our technical objectives. Technical moats are moats no longer.<p>The benchmark scripts and methodology are available in the github repo. Happy to answer any questions in the thread.<p>Thanks,<p>TJ (tj@tigerdata.com)