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Showing 281–300 of 1466 tools from Hacker News
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January 17, 2026 at 08:00 AM
Mistral Releases Devstral 2 (72.2% SWE-Bench Verified) and Vibe CLI
Hacker News (score: 14)[Other] Mistral Releases Devstral 2 (72.2% SWE-Bench Verified) and Vibe CLI
Fate: A modern data client for React and tRPC
Hacker News (score: 23)[API/SDK] Fate: A modern data client for React and tRPC
Show HN: DataKit, your all in browser data studio is open source now
Show HN (score: 6)[Other] Show HN: DataKit, your all in browser data studio is open source now Hey HN! I'm open-sourcing DataKit today.<p>GitHub: <a href="https://github.com/datakitpage/datakit" rel="nofollow">https://github.com/datakitpage/datakit</a> Live demo: <a href="https://datakit.page" rel="nofollow">https://datakit.page</a><p>DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser.<p>What it does: • Process large files (tested up to 20GB) without any server • Full SQL interface powered by DuckDB compiled to WebAssembly • Python notebooks via Pyodide for data science workflows • Connect to remote sources (PostgreSQL, MotherDuck, S3) with optional proxy • AI assistant that only sees column schemas, not actual data<p>I was done with having to choose between cloud tools and heavy local installations. I wanted something that just works in a browser tab but has real power.<p>It's AGPL licensed with commercial licenses available for enterprises.<p>I've been building this solo as a side project for the past few months. Would love your feedback on: - Performance bottlenecks you encounter - Features you'd need for your workflows - The architecture decisions (all client-side vs hybrid)
Show HN: DuckDB for Kafka Stream Processing
Hacker News (score: 27)[Database] Show HN: DuckDB for Kafka Stream Processing Hello Everyone! We built SQLFlow as a lightweight stream processing engine.<p>We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory!<p>DuckDB also supports a rich ecosystem of sinks and connectors!<p><a href="https://sql-flow.com/docs/category/tutorials/" rel="nofollow">https://sql-flow.com/docs/category/tutorials/</a><p><a href="https://github.com/turbolytics/sql-flow" rel="nofollow">https://github.com/turbolytics/sql-flow</a><p>We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors<p>I would love your feedback, criticisms and/or experiences!<p>Thank you
Show HN: Diesel-guard – Lint Diesel migrations for unsafe PostgreSQL patterns
Show HN (score: 12)[Other] Show HN: Diesel-guard – Lint Diesel migrations for unsafe PostgreSQL patterns
AMD GPU Debugger
Hacker News (score: 146)[Other] AMD GPU Debugger
Show HN: LinkedQL – Live Queries over Postgres, MySQL, MariaDB
Hacker News (score: 18)[Database] Show HN: LinkedQL – Live Queries over Postgres, MySQL, MariaDB LinkedQL is a new SQL client that supports live queries over any Postgres, MySQL, and MariaDB database. You get result sets that self-update differentially as rows change in your database – via inserts, updates, deletes. Works with no extra tooling/ORM layer or GraphQL servers. You opt into live mode simply with a flag: client.query('SELECT ...', { live: true }). More at: <a href="https://linked-ql.netlify.app/capabilities/live-queries" rel="nofollow">https://linked-ql.netlify.app/capabilities/live-queries</a><p>LinkedQL is written in JavaScript and runs in both client and server environments.<p>GitHub + docs: <a href="https://github.com/linked-db/linked-ql" rel="nofollow">https://github.com/linked-db/linked-ql</a><p>Demo examples included.<p>I’d love feedback: • Anything confusing? • Anything seems useful or dangerous? • Anything else that'd make you consider LinkedQL for production?<p>Thanks for taking a look — happy to answer any questions.
Show HN: I wrote a book – Debugging TypeScript Applications (in beta)
Show HN (score: 7)[Other] Show HN: I wrote a book – Debugging TypeScript Applications (in beta)
Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents
Hacker News (score: 13)[DevOps] Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents Hi HN, I have been building voice agents for sometime now. I was earlier automating parts of visa processing, and we needed real-time, multilingual voice calling.<p>I assumed the hard work was just wiring LiveKit/Pipecat + STT/TTS + an LLM. It wasn’t.<p>Even with solid OSS (Pipecat/LiveKit), we still had to do a lot of plumbing- variable extraction, tracing, testing etc and any workflow changes required constant redeploys.<p>We eventually realized we’d spent more time building infrastructure than building the actual agents. Everything felt custom. We hit every possible pain with Pipecat and VAPI style systems.<p>So we built Dograh - a fully open-source voice agent framework that includes all the boring, painful pieces by default.<p>What’s different:<p>- Pipecat-based engine, but forked - custom event model, and concurrency fixes<p>- One-click start template generated by an LLM Agent for a quick get start template for any use case<p>- Drag-and-drop visual agent builder for quick iteration (the thing we wished existed earlier)<p>- Variable extraction layer (name/order/date/etc.) baked into the LLM loop<p>- Built in Telephony integration (Twilio/ Vonage/ Vobiz/ Cloudonix)<p>- Multilingual support end-to-end<p>- Select any LLM TTS STT (add their credits, if any)<p>- AI-to-AI call testing: automatically stress-test an agent before shipping (still a work in progress- so patchy as of now)<p>- Fully Open Source<p>It's built and maintained by YC alumni / exit founders who got tired of rebuilding the same plumbing.<p>Why we open-sourced it: We kept feeling that the space was drifting toward closed SaaS abstractions (VAPI, Retell). Those are good for demos, but once you need data controls, privacy or self/offline deployment, you end up stuck. We wanted a stack where you can see every part, fork it, self-host it, and patch it as needed.<p>Try it:<p>- Repo: <a href="https://github.com/dograh-hq/dograh" rel="nofollow">https://github.com/dograh-hq/dograh</a><p>This spins up a basic multilingual agent with everything pre-wired.<p>Who this is for:<p>- If you are looking for self hosting a Vapi like platform for Data Privacy etc.<p>- Anyone trying to build production-grade voice agents without reinventing audio plumbing.<p>- If you’ve tried to glue STT→LLM→TTS manually, you probably know the exact pain this is built for<p>Happy to answer technical questions, show the architecture, or hear how we can improve the product.
GitHub Actions Has a Package Manager, and It Might Be the Worst
Hacker News (score: 152)[Other] GitHub Actions Has a Package Manager, and It Might Be the Worst
Show HN: Lockenv – Simple encrypted secrets storage for Git
Hacker News (score: 31)[Other] Show HN: Lockenv – Simple encrypted secrets storage for Git Hi!<p>I got tired of setting up tools I can't explain to a team in a few words like sops or git-crypt, just to store few files with environment variables or secrets, so I built lockenv as a simple alternative.<p>It's basically a password-protected vault file you commit to git. No gpg keys, no cloud, just lockenv init, set a password, and lock/unlock the secrets.<p>This tool integrates with OS keyring, so you're not typing passwords constantly. Should work on Mac/Linux/Windows, but I tested it only on linux so far.<p>I am not trying to replace any mature / robust solution, just making small tool for simple cases, where I want to stop sharing secrets via slack.<p>Feel free to try, thank you!
Show HN: Cdecl-dump - represent C declarations visually
Hacker News (score: 12)[Other] Show HN: Cdecl-dump - represent C declarations visually A small tool that parses C declarations and outputs a simple visual representation at each stage, as it encounters arrays, pointers or functions.<p>The program uses a table-driven lexer and a hand-written, shift-reduce parser. No external dependencies apart from the standard library.
Show HN: Minimal container-like sandbox built from scratch in C
Show HN (score: 5)[DevOps] Show HN: Minimal container-like sandbox built from scratch in C Runbox recreates core container features without relying on existing runtimes or external libraries. It uses namespaces, cgroups v2, and seccomp to create an isolated process environment, with a simple shell for interaction. For future gonna work on adding an interface so external applications can be executed inside Runbox, similar to containers.<p>Github: <a href="https://github.com/Sahilb315/runbox" rel="nofollow">https://github.com/Sahilb315/runbox</a><p>Happy to hear feedback or suggestions.
OpenTelemetry Distribution Builder
Hacker News (score: 11)[Other] OpenTelemetry Distribution Builder
Show HN: Tascli, a command line based (human) task and record manager
Hacker News (score: 20)[CLI Tool] Show HN: Tascli, a command line based (human) task and record manager `cargo install tascli`<p>Manages your own task and records in the terminal simply with tascli - tiny, fast and simple.
Show HN: TapeHead – A CLI tool for stateful random access of file streams
Show HN (score: 7)[CLI Tool] Show HN: TapeHead – A CLI tool for stateful random access of file streams I wrote this tool while debugging a driver because I couldn't find a tool that allowed me to open a file, seek randomly, and read and write.<p>I thought it might one day be useful to someone too.
Show HN: I designed my own 3D printer motherboard
Hacker News (score: 50)[Other] Show HN: I designed my own 3D printer motherboard 3D printing is such a fascinating field of technology, so a couple months ago, I decided to take a deep dive and learn how they actually work!<p>This took me to one of my very first PCB projects, a small, cheap, 3D printer motherboard. While it's not the most cutting edge board, I learned a lot and I fully documented my process designing it (<a href="https://github.com/KaiPereira/Cheetah-MX4-Mini/blob/master/JOURNAL.md" rel="nofollow">https://github.com/KaiPereira/Cheetah-MX4-Mini/blob/master/J...</a>), so other people can learn from my mistakes!<p>It runs off of an STM32H743 MCU, has 4 TMC stepsticks with UART/SPI configurations, sensorless/endstop homing, thermistor and fan ports, parallel, serial and TFT display connectors, bed and heater outputs and USB-C/SD Card printing, all in a small 80x90mm form factor with support for Marlin and Klipper!<p>Because it's smaller and cheaper than a typical motherboard, you can use it for smaller/more affordable printers, and other people can also reference the journal if they're making their own board!<p>If I were to make a V2, I would probably clean up the traces/layout of the PCB, pay more attention to trace size, stitching and fills, BOM optimize even further, and add another motor driver or two to the board. I also should've payed a bit more attention to how much current I would be drawing, and also the voltage ratings, because some of the parts are under-rated for the power.<p>I'm still actively refining it and fixing up some of the mistakes, but I plan on using this board to make a tiny foldup 3D printer I can bring to hackathons and 3D print on the go!<p>The project is fully open source, and journaled, so if you'd like to check it out it's on GitHub (<a href="https://github.com/KaiPereira/Cheetah-MX4-Mini" rel="nofollow">https://github.com/KaiPereira/Cheetah-MX4-Mini</a>)!<p>I absolutely loved making this project and I'd love to hear what you guys would want to see in a V2!
Show HN: Trello Clone with Source Code
Show HN (score: 9)[Other] Show HN: Trello Clone with Source Code Source code at <a href="https://codebuy.org/asset/69341f150b7587764a8a76aa" rel="nofollow">https://codebuy.org/asset/69341f150b7587764a8a76aa</a>
Octo: A Chip8 IDE
Hacker News (score: 38)[IDE/Editor] Octo: A Chip8 IDE
Show HN: Sloppylint – A linter for AI-generated Python code
Show HN (score: 7)[Code Quality] Show HN: Sloppylint – A linter for AI-generated Python code AI coding assistants are productive but sloppy. They produce code that looks right but:<p>- Imports packages that don't exist - Uses placeholder functions that do nothing - Leaks patterns from JavaScript, Java, Ruby into Python - Leaves behind dead code and duplicates - Uses mutable default arguments<p>I built sloppylint to catch these "AI slop" patterns before they hit production.<p><pre><code> pip install sloppylint sloppylint . </code></pre> It detects 100+ patterns across categories: - Hallucinated imports (20% of AI imports reference non-existent packages) - Placeholder code (`pass`, `...`, `TODO`) - Wrong-language patterns (.push(), .equals(), .forEach()) - Mutable defaults, bare excepts, dead code<p>This isn't a replacement for traditional linters - it catches the specific mistakes AI makes that humans wouldn't.<p><a href="https://github.com/rsionnach/sloppylint" rel="nofollow">https://github.com/rsionnach/sloppylint</a>