🛠️ All DevTools

[Other] Split large git branches into small, stacked prs AI-powered tool that splits massive feature branches into small, review-ready PRs. Automate stacked pull requests for GitHub/GitLab. Stop shipping 1000+ line PRs.

[Other] Optimize your pc performance Are you getting frustrated with your PC's performance? Our easily usable tool, the bottleneck calculator, is designed to identify bottlenecks in your PC.

[Other] Migrate Wix blog, Medium or Blogger to WordPress in minutes Blog Porter makes it simple for users or agencies to migrate a Wix blog, Medium or Blogger posts to WordPress in minutes, keeping their rich text formatting, embedded images and videos, links and SEO intact.

[Other] Open source webhook gateway | self-hosted webhook management Open source Laravel webhook gateway for reliable ingestion, retries, replays, and observability. Self-hosted alternative to Hookdeck with AI-powered features.

[API/SDK] APIs for verification, compliance & trust Veriqos Technologies is a fintech platform built to simplify how businesses onboard users, verify identities, and stay compliant - through powerful, developer-friendly APIs.

[DevOps] Secure everything you build, host, and run. Your central code, cloud, and runtime security platform. Fix vulnerabilities automatically with AI AutoFix and AutoTriage. Cut false positives by 85%. Security is an everyone problem. So get security done, and get devs back to building.

[CLI Tool] AI pair programming directly in your terminal Cosine CLI brings our AI coding agent to your terminal. It writes/refactors/tests code, runs shell, understands your repo, and continues browser tasks. Autonomous or interactive. Full access to familiar local tools. Meeting developers where they work.

[Other] Automated github to gitea repository mirroring & backup Automatically mirror and backup your GitHub repositories to self-hosted Gitea. Keep your code safe with scheduled syncing, bulk operations, and real-time monitoring. Free and open source.

[Other] Price tracker for businesses & shoppers—save time, pay less ZbirkaPrice makes price tracking effortless for businesses and everyday shoppers. Monitor competitors and optimize pricing, or follow favorite items and catch deals fast. Paste a link, see the current price, then update prices with one click.

[Other] AI Answers, Code Fix, Formulas, Scientific Calculator & More Get quick 60-word engineering answers, optimise code, find formulas, summarise text, make study notes, get code logics, practice aptitude tests, and use a handy scientific calculator — for all engineering streams. An easy AI study tool for students.

[Other] Developer resume builder and tailoring Create tech optimized resumes and tailored them to job offers

[Other] Build, enrich, and transform datasets using AI models with no code

[Other] Show HN: Flox – Nvidia CUDA available for the Nix ecosystem Hey Everyone! Ron here, part of the NixOS Foundation and building Flox. Just coming out of this years NixCon and pretty excited to show hn below :)<p>As of today, NVIDIA officially recognizes Canonical, SUSE, CIQ, and Nix—via Flox—as supported distributors for CUDA. Full blog - <a href="https:&#x2F;&#x2F;developer.nvidia.com&#x2F;blog&#x2F;developers-can-now-get-cuda-directly-from-their-favorite-third-party-platforms&#x2F;" rel="nofollow">https:&#x2F;&#x2F;developer.nvidia.com&#x2F;blog&#x2F;developers-can-now-get-cud...</a><p>This is a huge win for the Nix community. For years, CUDA on Nix was possible but painful—builds could take hours, and redistributing prebuilt binaries was blocked by NVIDIA&#x27;s licensing requirements.<p>NVIDIA&#x27;s growing engagement with key Linux distributions reflects the company&#x27;s evolution in working with open source communities. Now, for the first time, NVIDIA is allowing these vendors to package and serve the CUDA Toolkit and CUDA-accelerated packages directly from their package repositories.<p>That means Ubuntu users can get CUDA via `apt`, SUSE users via `zypper`, Rocky Linux users via `dnf`, and Nix users simply by declaring CUDA dependencies in their Nix expressions, `shell.nix` files, or flakes. Across all four platforms, developers can now pull in prebuilt, prepatched CUDA software—including huge packages like PyTorch, TensorFlow, TensorRT, OpenCV, ffmpeg, and more.<p>On Nix (my own bias showing), setup is straightforward: just add Flox&#x27;s cache as an `extra-substituter` in your `nix.conf` or `configuration.nix`.

[Other] Show HN: Ultraplot – A succint wrapper for matplotlib

[CLI Tool] Show HN: Llmswap – Universal AI SDK and Code Generation CLI I was constantly switching between my terminal and ChatGPT&#x2F;Claude&#x2F;Gemini for code help. Built llmswap 4.1.1 to fix this.<p>Now I just type: llmswap generate &quot;command I need&quot;<p>Real examples that save hours:<p>Site emergency - needed to debug compressed logs:<p>llmswap generate &quot;grep through gzipped nginx logs for errors&quot;<p>Got: zgrep -i &quot;error\|fail&quot; &#x2F;var&#x2F;log&#x2F;nginx&#x2F;*.gz | head -50<p>That regex everyone googles:<p>llmswap generate &quot;extract all IP addresses from log file&quot;<p>Got: grep -oE &#x27;([0-9]{1,3}\.){3}[0-9]{1,3}&#x27; access.log | sort | uniq -c<p>Complex configs? No problem:<p>llmswap generate &quot;docker compose for Prometheus Grafana monitoring&quot; &gt; stack.yml<p>80 lines of production-ready YAML.<p>The killer feature - works INSIDE vim:<p>:r !llmswap generate &quot;MongoDB create user with read&#x2F;write access&quot;<p>Got: db.createUser({user:&quot;appuser&quot;,pwd:&quot;password&quot;,roles:[{role:&quot;readWrite&quot;,db:&quot;myapp&quot;}]})<p>Code appears at cursor. No browser. No copy-paste.<p>Supports 8 providers (OpenAI, Claude, Gemini, Groq, IBM Watson, Ollama, etc). Use whatever API keys you already have. No additional subscriptions.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;sreenathmmenon&#x2F;llmswap" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;sreenathmmenon&#x2F;llmswap</a><p>PyPI: <a href="https:&#x2F;&#x2F;pypi.org&#x2F;project&#x2F;llmswap&#x2F;" rel="nofollow">https:&#x2F;&#x2F;pypi.org&#x2F;project&#x2F;llmswap&#x2F;</a>

[Other] Show HN: Haystack – Review pull requests like you wrote them yourself Hi HN!<p>We’re Akshay and Jake. We put together a tool called Haystack to make pull requests straightforward to read.<p>What Haystack does:<p>-- Builds a clear narrative. Changes in Haystack aren’t just arranged as unordered diffs. Instead, they unfold in a logical order, each paired with an explanation in plain, precise language<p>-- Focuses attention where it counts. Routine plumbing and refactors are put into skimmable sections so you can spend your time on design and correctness<p>-- Provides full cross-file context. Every new or changed function&#x2F;variable is traced across the codebase, showing how it’s used beyond the immediate diff<p>Here’s a quick demo: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;w5Lq5wBUS-I" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;w5Lq5wBUS-I</a><p>If you’d like to give it a spin, head over to haystackeditor.com&#x2F;review! We set up some demo PRs that you should be able to understand and review even if you’ve never seen the repos before!<p>We used to work at big companies, where reviewing non-trivial pull requests felt like reading a book with its pages out of order. We would jump and scroll between files, trying to piece together the author’s intent before we could even start reviewing. And, as authors, we would spend time to restructure our own commits just to make them readable. AI has made this even trickier. Today it’s not uncommon for a pull request to contain code the author doesn’t fully understand themselves!<p>So, we built Haystack to help reviewers spend less time untangling code and more time giving meaningful feedback. We would love to hear about whether it gets the job done for you!<p>How we got here:<p>Haystack began as (yet another) VS Code fork where we experimented with visualizing code changes on a canvas. At first, it was a neat way to show how pieces of code worked together. But customers started laying out their entire codebase just to make sense of it. That’s when we realized the deeper problem: understanding a codebase is hard, and engineers need better ways to quickly understand unfamiliar code.<p>As we kept building, another insight emerged: with AI woven into workflows, engineers don’t always need to master every corner of a codebase to ship features. But in code review, deep and continuous context still matters, especially to separate what’s important to review from plumbing and follow-on changes.<p>So we pivoted. We took what we’d learned and worked closely with engineers to refine the idea. We started with simple code analysis (using language servers, tree-sitter, etc.) to show how changes relate. Then we added AI to explain and organize those changes and to trace how data moves through a pull request. Finally, we fused the two by empowering AI agents to use static analyses. Step by step, that became the Haystack we’re showing today.<p>We’d love to hear your thoughts, feedback, or suggestions!

[Other] ChatGPT Developer Mode: Full MCP client access

[Other] Show HN: Ark v0.5.0 – A Minimal, High-Performance Entity Component System for Go I’ve just released Ark v0.5.0, a lightweight Entity Component System (ECS) library for Go, built with a focus on performance and simplicity.<p>If you&#x27;re new to Ark: it&#x27;s a high-performance Go ECS library with a clean API and zero dependencies. Beyond its core ECS functionality, Ark stands out for ultra-fast batch operations and first-class support for entity relationships.<p>This release brings notable performance improvements to queries via smarter indexing, plus new methods for sampling random entities. The documentation has been expanded with a chapter on design philosophy and limitations, along with new examples covering advanced topics like entity relations, world locking, spatial indexing, and parallel simulations.<p>If you’re exploring ECS patterns in Go or looking for a an ECS that delivers performance without sacrificing usability, I’d love to hear your feedback. Contributions are welcome.<p>Changelog: github.com&#x2F;mlange-42&#x2F;ark&#x2F;blob&#x2F;main&#x2F;CHANGELOG.md

[API/SDK] Show HN: Robot MCP Server – Connect Any Language Model and ROS Robots Using MCP We’ve open-sourced the Robot MCP Server, a tool that lets large language models (LLMs) talk directly to robots running ROS1 or ROS2.<p>What it does - Connects any LLM to existing ROS robots via the Model Context Protocol (MCP) - Natural language → ROS topics, services, and actions (And the ability to read any of them back) - Works without changing robot source code<p>Why it matters - Makes robots accessible from natural language interfaces - Opens the door to rapid prototyping of AI-robot applications - We are trying to create a common interface for safe AI ↔ robot communication<p>This is too big to develop alone — we’d love feedback, contributors, and partners from both the robotics and AI communities.

[Build/Deploy] Scripts to build a trimmed-down Windows 11 image.