🛠️ All DevTools

[API/SDK] Show HN: Metorial (YC F25) – Vercel for MCP Hey HN! We&#x27;re Wen and Tobias, and we&#x27;re building Metorial (<a href="https:&#x2F;&#x2F;metorial.com">https:&#x2F;&#x2F;metorial.com</a>), an integration platform that connects AI agents to external tools and data using MCP.<p>The Problem: While MCP works great locally (e.g., Cursor or Claude Desktop), server-side deployments are painful. Running MCP servers means managing Docker configs, per-user OAuth flows, scaling concurrent sessions, and building observability from scratch. This infrastructure work turns simple integrations into weeks of setup.<p>Metorial handles all of this automatically. We maintain an open catalog of ~600 MCP servers (GitHub, Slack, Google Drive, Salesforce, databases, etc.) that you can deploy in three clicks. You can also bring your own MCP server or fork existing ones.<p>For OAuth, just provide your client ID and secret and we handle the entire flow, including token refresh. Each user then gets an isolated MCP server instance configured with their own OAuth credentials automatically.<p>What makes us different is that our serverless runtime hibernates idle MCP servers and resumes them with sub-second cold starts while preserving the state and connection. Our custom MCP engine is capable of managing thousands of concurrent connections, giving you a scalable service with per-user isolation. Other alternatives either run shared servers (security issues) or provision separate VMs per user (expensive and slow to scale).<p>Our Python and TypeScript SDKs let you connect LLMs to MCP tools in a single function call, abstracting away the protocol complexity. But if you want to dig deep, you can just use standard MCP and our REST API (<a href="https:&#x2F;&#x2F;metorial.com&#x2F;api">https:&#x2F;&#x2F;metorial.com&#x2F;api</a>) to connect to our platform.<p>You can self-host (<a href="https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial</a>) or use the managed version at <a href="https:&#x2F;&#x2F;metorial.com">https:&#x2F;&#x2F;metorial.com</a>.<p>So far, we see enterprise teams use Metorial to have a central integration hub for tools like Salesforce, while startups use it to cut weeks of infra work on their side when building AI agents with integrations.<p>Demo video: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=07StSRNmJZ8" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=07StSRNmJZ8</a><p>Our Repos: Metorial: <a href="https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial</a>, MCP Containers: <a href="https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;mcp-containers" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;mcp-containers</a><p>SDKs: Node&#x2F;TypeScript: <a href="https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial-node" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial-node</a>, Python: <a href="https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial-python" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;metorial&#x2F;metorial-python</a><p>We&#x27;d love to hear feedback, especially if you&#x27;ve dealt with deploying MCP at scale!

[Other] Show HN: Daily install trends of AI coding extensions in VS Code For the past 4 years, I&#x27;ve been tracking the install counts of AI coding extensions in the Visual Studio Code marketplace (GitHub Copilot, Claude Code, OpenAI Codex, etc.)<p>Today, I built an interactive dashboard that lets you see daily install counts for any of them over time.<p>The chart shows GitHub Copilot by default, and you can overlay or swap in any of the other 20+ tools to compare. You can also see important dates in each tool&#x27;s history (pricing changes, major releases, etc.) and how daily installs changed around those dates.<p>Important caveats:<p>1) This only tracks VS Code extension installs, not CLI usage or other IDEs like JetBrains.<p>2) Cursor isn&#x27;t included since it&#x27;s a standalone editor (VS Code fork), not a marketplace extension. I added a second chart showing Cursor discussion forum activity as a proxy for its growth.<p>Obviously not apples to apples, but felt I needed to measure Cursor&#x27;s growth somehow.<p>3) This tracks daily installs per day, NOT total installs. Otherwise the charts would be boring and always go to the top and right.<p>4) The dashboard was coded using an AI coding assistant too. I used regular Claude :)

[Other] Show HN: docker/model-runner – an open-source tool for local LLMs Hey Hacker News,<p>We&#x27;re the maintainers of docker&#x2F;model-runner and wanted to share some major updates we&#x27;re excited about.<p>Link: <a href="https:&#x2F;&#x2F;github.com&#x2F;docker&#x2F;model-runner" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;docker&#x2F;model-runner</a><p>We are rebooting the community:<p><a href="https:&#x2F;&#x2F;www.docker.com&#x2F;blog&#x2F;rebooting-model-runner-community&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.docker.com&#x2F;blog&#x2F;rebooting-model-runner-community...</a><p>At its core, model-runner is a simple, backend-agnostic tool for downloading and running local large language models. Think of it as a consistent interface to interact with different model backends. One of our main backends is llama.cpp, and we make it a point to contribute any improvements we make back upstream to their project. It also allows people to transport models via OCI registries like Docker Hub. Docker Hub hosts our curated local AI model collection, packaged as OCI Artifacts and ready to run. You can easily download, share, and upload models on Docker Hub, making it a central hub for both containerized applications and the next wave of generative AI.<p>We&#x27;ve been working hard on a few things recently:<p>- Vulkan and AMD Support: We&#x27;ve just merged support for Vulkan, which opens up local inference to a much wider range of GPUs, especially from AMD.<p>- Contributor Experience: We refactored the project into a monorepo. The main goal was to make the architecture clearer and dramatically lower the barrier for new contributors to get involved and understand the codebase.<p>- It&#x27;s Fully Open Source: We know that a project from Docker might raise questions about its openness. To be clear, this is a 100% open-source, Apache 2.0 licensed project. We want to build a community around it and welcome all contributions, from documentation fixes to new model backends.<p>- DGX Spark day-0 support, we&#x27;ve got it!<p>Our goal is to grow the community. We&#x27;ll be here all day to answer any questions you have. We&#x27;d love for you to check it out, give us a star if you like it, and let us know what you think.<p>Thanks!

[Other] Full-throttle, wire-speed hardware implementation of Wireguard VPN, using low-cost Artix7 FPGA with opensource toolchain. If you seek security and privacy, nothing is private in our codebase. Our door is wide open for backdoor scrutiny, be it related to RTL, embedded, build, bitstream or any other aspect of design and delivery package. Bujrum!

[Other] 100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.

[Other] ADS-B Exposed <a href="https:&#x2F;&#x2F;github.com&#x2F;ClickHouse&#x2F;adsb.exposed&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ClickHouse&#x2F;adsb.exposed&#x2F;</a><p><i>Show HN: ADS-B visualizer</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39990346">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39990346</a> - April 2024 (76 comments)

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[Other] Turn prompts into living workflows Generate nodes, logic, and structure from text, then shape and ship your vision faster. Rolling out this week to n8n Cloud (Trial, Starter, Pro). Update to v.1.116.0 to try it.

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[Other] Show HN: FFTN, faster than FFTW in 700 lines of C I am playing around with using arrays of arbitrary dimension as framework for designing FFT implementations, as opposed to the more classical approach of tensor products and butterflies (too complicated in my opinion).<p>It turns out, that with a modern compiler, you do not need much complexity to make a really fast implementation. This implementation is for powers of 2, and optimized for arrays that do not fit in cache. I do think it would be better to use a higher-level language to implement other cases (e.g. n = 2^a * 3^b * 5^c, multiple small FFTs, higher-dimensional), so I am currently working on getting the SaC-compiler to generate this code.

[Other] Show HN: I made a calculator that works over disjoint sets of intervals I&#x27;ve been studying interval arithmetic for the past few weeks and it&#x27;s a really interesting field because while there is a ton of super interesting research published over the past decades, it has never really gotten the recognition that it deserves, IMO.<p>One reason for this is that standard interval arithmetic has really poor handling of division by intervals containing zero. If you compute 1 &#x2F; [-1, 2] in regular interval arithmetic, you get either [-∞, +∞], or you have to say that the operation is undefined. Both solutions are virtually useless. The real answer of course is [-∞, -1] U [0.5, +∞]: i.e. a union of two disjoint intervals.<p>This is useful because you can confidently exclude a non empty set of the real numbers ([-1, 0.5]) from the set of possible values that you can get by dividing 1 by a number between -1 and 2.<p>But this definition of interval division yields a value that is not an interval. This is a problem if you want to define a closed arithmetic system, where you can build and evaluate arbitrary expression over interval values.<p>(This behavior extends to any non continuous function like tan() for example, which is implemented in my project - not without difficulties!)<p>Well the obvious solution is to define your arithmetic over disjoint unions of intervals. This is the subject of a 2017 paper called &quot;Interval Unions&quot; by by Schichl, H., Domes, F., Montanher, T. and Kofler, K..<p>This open-source project I made implements interval union arithmetic in TypeScript in the form of a simple interactive calculator, so you can try it out for yourself! The underlying TypeScript library is dependency free and implements interval union arithmetic over IEEE 754 double precision floats (JS native number type) with outward rounding. This guarantees accuracy of interval results in the presence of rounding issue inherent to floating point.

[Other] Show HN: Local Browser AI Using the new Prompt API to build a free open source privacy-first chat extension that runs on Chrome or Edge on Linux, Mac, Windows and ChromeOS

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[Other] Plan-first AI coding for real codebases Traycer helps devs plan-first, code-faster with spec‑driven development. It breaks down high-level intents into structured plans, hands off to your favorite AI agent, then verifies changes so your large codebase stays solid.

[API/SDK] API & components for comments, feeds, notifications & more Re-launching as fully open-source under Apache 2.0, with an improved state-management architecture, and new components, such as Threaded Comments - advanced comment section featuring Reddit-style threaded discussions. Quality, speed & built-in moderation.

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[Other] A native desktop client for your SaaS (Public Preview) Deskofy is a CLI-powered framework and toolkit that transforms your SaaS into a native desktop app. From build to release, it handles Electron setup, system integrations, and packaging.

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