Show HN: HN Companion – web app that enhances the experience of reading HN https://ift.tt/5sC0pSu

Show HN: HN Companion – web app that enhances the experience of reading HN 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/S3qA4IU 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/cFLY5al We would love to get your feedback on what would make this more useful for your HN reading. [0] https://ift.tt/cWdMbNO [1] https://ift.tt/B4eStdr [2] https://ift.tt/0l97exv [3] https://ift.tt/aZgoqJL https://hncompanion.com February 10, 2026 at 10:31PM

Show HN: Reef – Bash compatibility layer for Fish shell, written in Rust https://ift.tt/YsCZaAO

Show HN: Reef – Bash compatibility layer for Fish shell, written in Rust Fish is the fastest, friendliest interactive shell, but it can't run bash syntax, which has kept it niche for 20 years. Reef fixes this with a three-tier approach: fish function wrappers for common keywords (export, unset, source), a Rust-powered AST translator using conch-parser for structural syntax (for/do/done, if/then/fi, $()), and a bash passthrough with env capture for everything else. 251/251 bash constructs pass in the test suite. The slowest path (full bash passthrough) takes ~3ms. The binary is 1.18MB. The goal: install fish, install reef, never think about bash compatibility again. Your muscle memory, Stack Overflow commands, and tool configs all just work. https://ift.tt/GEBiNZd February 10, 2026 at 05:14AM

Show HN: Stack Overflow for AI Coding Agents https://ift.tt/IxYqbeo

Show HN: Stack Overflow for AI Coding Agents https://shareful.ai/ February 10, 2026 at 12:12AM

Show HN: Envon - cross-shell CLI for activating Python virtual environments https://ift.tt/XpAfHRc

Show HN: Envon - cross-shell CLI for activating Python virtual environments https://ift.tt/BScIgkR February 9, 2026 at 01:56AM

Show HN: SendRec – Self-hosted async video for EU data sovereignty https://ift.tt/vRfFlsm

Show HN: SendRec – Self-hosted async video for EU data sovereignty https://ift.tt/z2jFdRr February 9, 2026 at 12:24AM

Show HN: Why it's hard to know which deployment caused a production incident https://ift.tt/ZNg1x5I

Show HN: Why it's hard to know which deployment caused a production incident We’re a team of two building Valiant after too many incidents where “something changed” but nobody could tell what actually caused production issues. Valiant correlates intent (Git commits, CI/CD signals) with actual execution (Kubernetes rollouts) and links them to Prometheus metrics, so you can see the real impact of each change - not just what was deployed. It’s open-source, still under active development, and very much a work in progress. Feedback, ideas, or contributors are welcome. No website yet — just the GitHub repo ;) https://ift.tt/zBdF48X February 5, 2026 at 11:42PM

Show HN: Nginx-defender – realtime abuse blocking for Nginx https://ift.tt/Ay2rdEh

Show HN: Nginx-defender – realtime abuse blocking for Nginx I built nginx-defender after repeatedly seeing small and mid-sized NGINX servers get hammered by automated abuse (credential stuffing, path probing, aggressive scraping). Existing tools like fail2ban or CrowdSec felt either too slow to react, too heavy for low resource servers, or painful to tune for modern traffic patterns. nginx-defender runs inline with NGINX and blocks abusive IPs in real time based on request behavior rather than static rules. It’s designed to be lightweight, simple to deploy, and usable on small VPS setups. I’ve been running it on my own servers and have seen thousands of abusive requests blocked within hours with minimal overhead. Would love feedback from people running NGINX in production, especially on detection logic, false positives, or missing use cases. https://ift.tt/VL2warn February 7, 2026 at 09:01PM