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[Other] Gitea Private, Fast, Reliable DevOps Platform

[Other] Show HN: MCP server for Blender that builds 3D scenes via natural language Hi HN!<p>I built a custom MCP (Model Context Protocol) server that connects Blender to LLMs like ChatGPT, Claude, and any other llm supporting tool calling and mcps, enabling the AI to understand and control 3D scenes using natural language.<p>You can describe an entire environment like:<p>&gt; “Create a small village with 5 huts arranged around a central bonfire, add a river flowing on the left, place a wooden bridge across it, and scatter trees randomly.”<p>And the system parses that, reasons about the scene, and builds it inside Blender — no manual modeling or scripting needed.<p>What it can do: - Generate multi-object scenes like villages, landscapes, from a single prompt - Understand spatial relations — e.g., “place the bridge over the river” or “add trees behind the huts” - Create camera animations and lighting setups: “orbit around the scene at sunset lighting” - Respond to iterative changes like: “replace all huts with stone houses” or “make the river narrower” - Maintain object hierarchy and labels for later editing<p>Tech Stack: - Blender Python scripting - Node.js server running MCP - LLM backend (OpenAI &#x2F; Claude, easily swappable)<p>Demo: <a href="https:&#x2F;&#x2F;blender-mcp-psi.vercel.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;blender-mcp-psi.vercel.app&#x2F;</a><p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;pranav-deshmukh&#x2F;blender-mcp-demo&#x2F;">https:&#x2F;&#x2F;github.com&#x2F;pranav-deshmukh&#x2F;blender-mcp-demo&#x2F;</a><p>Curious to hear thoughts from folks in 3D tooling, AI-assisted design, or dev interface design. Would you find this useful as a Blender plugin? I’m open to expanding it!<p>Please try it and give it a star on github

[Other] GitWrist – Allows WearOS devices to interact with the GitHub API

[Other] Show HN: Context42 – capture your coding style from across your projects Show HN: Context42 - AI-powered style guide generator for your codebase<p>Hey HN,<p>I&#x27;ve been building Context42 to solve a problem that&#x27;s been bugging me: getting AI to write code like me, and helping disseminate coding best practices.<p>The core insight is simple - your existing code is already your best style guide. Instead of debating tabs vs spaces or where to put your curly braces, Context42 analyzes your actual codebase and generates comprehensive style documentation using Google&#x27;s Gemini AI.<p>Here&#x27;s what makes it special:<p>1. *Language-aware analysis* - It groups files by language and generates specific style guides for each. Your TypeScript patterns won&#x27;t bleed into your Python conventions.<p>2. *Dependency-smart processing* - It analyzes child directories before parents, building up context as it goes. This means it understands your module structure and can identify patterns that emerge across your architecture.<p>3. *Built for real codebases* - With configurable concurrency, resume capability, and automatic cleanup, it&#x27;s designed to handle everything from small projects to massive monorepos. The terminal UI (built with Ink&#x2F;React) gives you real-time progress on what&#x27;s happening.<p>4. *Pragmatic over prescriptive* - Instead of enforcing arbitrary rules, it documents what you&#x27;re already doing. This makes it easier to onboard new developers and maintain consistency without religious debates.<p>The technical approach is interesting too - it uses a worker pool pattern with abort controllers for graceful shutdown, SQLite for persistence (so you can resume failed runs), and a file registry system that guarantees cleanup even on crashes.<p>I built this because I believe the best documentation is the kind that reflects reality, not aspirations. Your code style isn&#x27;t what you think it should be - it&#x27;s what it actually is. And that&#x27;s worth documenting.<p>You can check it out at: <a href="https:&#x2F;&#x2F;github.com&#x2F;zenbase-ai&#x2F;context42">https:&#x2F;&#x2F;github.com&#x2F;zenbase-ai&#x2F;context42</a><p>Would love to hear your thoughts, especially if you&#x27;ve tackled similar problems in your teams. What&#x27;s worked for you in maintaining code consistency at scale?

[Other] Postgres to ClickHouse: Data Modeling Tips

[Other] Why you should choose HTMX for your next web-based side project (2024)

[Other] Show HN: Compass CNC – Open-source handheld CNC router Hey HN,<p>I am Cam, and for the past two years I have been working on Compass, an open-source handheld CNC router that brings computer precision to woodworking while keeping the user directly involved in the process.<p>The idea started as my senior design project at UC Berkeley, with the goal of making a more approachable CNC machine—standard CNC machines are expensive, bulky, and remove you from the tactile “maker” experience. Compass solves that by combining a handheld router with real-time robotic assistance. You move the router roughly along a design path, and Compass uses four optical flow sensors (like in computer mice) and a 3-axis motion system to auto-correct for precision cuts.<p>What is different about Compass: - Open source: All plans, firmware, and CAD files are available on GitHub. - Affordable: The DIY build costs ~$600 in parts, and I am selling kits for &lt;$800. - No external markers: The sensing technology allows for positioning without external markers, so no setup or consumables required. - Portable: Fits in a backpack and is not limited by a fixed work envelope.<p>We recently completed our first beta program and have just launched V1 kits for pre-order. You can find more info and the launch video at the listed URL.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;camchaney&#x2F;handheld-cnc">https:&#x2F;&#x2F;github.com&#x2F;camchaney&#x2F;handheld-cnc</a>

[Other] Debcraft – Easiest way to modify and build Debian packages

[CLI Tool] Ccusage: A CLI tool for analyzing Claude Code usage from local JSONL files

[Other] Show HN: Interactive Bash tutorial that runs in the browser I wrote a tutorial on how to create Bash scripts, where the command line interface runs entirely in the browser using v86 (<a href="https:&#x2F;&#x2F;github.com&#x2F;copy&#x2F;v86">https:&#x2F;&#x2F;github.com&#x2F;copy&#x2F;v86</a>), and the code editor uses Monaco.

[Other] Show HN: Molab, a cloud-hosted Marimo notebook workspace We launched marimo [1], an open-source reactive Python notebook, last year on HackerNews. Today, the most popular recent feature request in Google Colab’s issue tracker asks for marimo support in Colab [2].<p>Rather than try to convince Google to replace their notebook with marimo, we decided to just build our own cloud-hosted notebook service instead. We&#x27;re calling this molab (mo for marimo), and we&#x27;re launching it today.<p>You can try it at <a href="https:&#x2F;&#x2F;molab.marimo.io" rel="nofollow">https:&#x2F;&#x2F;molab.marimo.io</a><p>Some features:<p>- Persistent storage<p>- Link sharing (notebooks are public but undiscoverable, like secret GitHub Gists)<p>- Download notebooks to your machine, reuse them as Python scripts or apps<p>- Upload local notebooks to the cloud from our CLI (coming soon)<p>- Real-time collaboration (coming soon)<p>- Configure computational resources to obtain more CPU or GPU (coming soon)<p>marimo is a modern notebook for modern data workflows; we also built molab on a modern tech stack:<p>- Notebook dependencies are managed by uv, enabling lighting-fast package installation (thanks to uv’s cache and more generally its performant implementation). uv makes it easy to run molab notebooks locally, too: uvx marimo edit &lt;notebook-url&gt; brings the notebook down to your machine.<p>- Persistent storage is powered by R2, Cloudflare’s zero-egress object store.<p>- We use Pydantic logfire to monitor our deployment.<p>- While our implementation is agnostic to the compute backend (stay tuned!), we’re currently running on Modal for fast startups (not to mention a slick developer experience). Modal sandboxes make it easy for us define containers at runtime, containing notebook code and their dependencies. (Shout out to Eric Zhang from Modal for helping us get started.)<p>molab is free to use, as long as usage is reasonable. Our goal is to make is as easy as possible for our community to use marimo notebooks.<p>Finally, learn more at our announcement blog: <a href="https:&#x2F;&#x2F;marimo.io&#x2F;blog&#x2F;announcing-molab" rel="nofollow">https:&#x2F;&#x2F;marimo.io&#x2F;blog&#x2F;announcing-molab</a><p>If this interests you, please give molab a shot and please share feedback — here or on Discord (<a href="https:&#x2F;&#x2F;marimo.io&#x2F;discord" rel="nofollow">https:&#x2F;&#x2F;marimo.io&#x2F;discord</a>).<p>P.S. This is not our commercial product, this is really just for our community.<p>[1] <a href="https:&#x2F;&#x2F;github.com&#x2F;marimo-team&#x2F;marimo">https:&#x2F;&#x2F;github.com&#x2F;marimo-team&#x2F;marimo</a> [2] <a href="https:&#x2F;&#x2F;github.com&#x2F;googlecolab&#x2F;colabtools&#x2F;issues?q=is%3Aissue%20state%3Aopen%20sort%3Areactions-%2B1-desc">https:&#x2F;&#x2F;github.com&#x2F;googlecolab&#x2F;colabtools&#x2F;issues?q=is%3Aissu...</a>

[Testing] Show HN: Mock FedCM Integrations MockFedCM is a free FedCM Relying Party (RP) and Identity Provider (IdP) for testing FedCM integrations. Simulate real-world authentication flows, debug your implementation, and validate user experiences—all without needing a production IdP or RP.

[Other] Show HN: Mark 1.0, a notation that unifies JSON, HTML, JSX, XML, YAML, and more Author of Mark Notation here.<p>Mark is a unified notation for both object and markup data, combining the best of JSON, HTML, and XML with a clean syntax and succinct data model.<p>I&#x27;m glad to announce the 1.0 Release of Mark. This release is just the start of a long journey to make web a better platform to store and exchange data.<p>Your feedback welcome!

[Code Quality] Show HN: Fluent-state: a new fresh take on local React state Hi HN<p>I built *fluent-state*, a lightweight React hook that replaces useState, useReducer, useMemo, and useEffect.<p>It gives you:<p>- A fluent, proxy-based API: `state.user.name(&#x27;Joe&#x27;)` - Immutable updates without spread logic - Automatic dependency tracking - Built-in `compute` for reactive, memoized derived state (no useMemo needed) - Built-in `effect` for reactive side-effects with automatic dependency tracking (no useEffect needed) - Zero boilerplate, full control<p>Designed for local state, nested structures, and clean, declarative code.<p>Demo: <a href="https:&#x2F;&#x2F;stackblitz.com&#x2F;edit&#x2F;vitejs-vite-uh4kyzkf?file=src%2FApp.tsx" rel="nofollow">https:&#x2F;&#x2F;stackblitz.com&#x2F;edit&#x2F;vitejs-vite-uh4kyzkf?file=src%2F...</a> GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;marsbos&#x2F;fluent-state">https:&#x2F;&#x2F;github.com&#x2F;marsbos&#x2F;fluent-state</a> NPM: <a href="https:&#x2F;&#x2F;www.npmjs.com&#x2F;package&#x2F;fluent-state" rel="nofollow">https:&#x2F;&#x2F;www.npmjs.com&#x2F;package&#x2F;fluent-state</a><p>Try it out plz.

[Other] Show HN: UML is dead – so I'm building the tool to revive it Hi HN,<p>UML diagrams were meant to standardise system design, but they’ve become outdated — slow to build, hard to change, and rarely used in practice. Most tools feel clunky, and diagrams often go stale fast.<p>I’m building RapidChart, a tool to bring diagramming back to life — fast, flexible, and developer-first.<p>What makes it different:<p>Cursor-style interface for rapid diagram creation<p>Fully customisable and exportable<p>AI-assisted (works with GPT-4, Claude, etc.)<p>100% free<p>This began as part of my research at Imperial College London, and I’d really value your feedback.<p>Here’s the link: <a href="https:&#x2F;&#x2F;www.rapidcharts.ai" rel="nofollow">https:&#x2F;&#x2F;www.rapidcharts.ai</a><p>Thanks!

[Other] Logical implication is a comparison operator

[Other] Show HN: Object database for LLMs that persists across chats (MCP server) I’d like to use LLMs for remembering all kinds of things: fitness, to-do lists, contacts, bug reports, research links, whatever. But there is no way to do that now.<p>For example, if I find a great coding tutorial in chat, or tell it how much I ran yesterday, it forgets that when I close the chat. Even if I keep the chat history, I still need to scour through lots of messages to find the data I want. Ideally, Claude would remember all this, and I’d be able to find it later with ease. This is what my team built.<p>It is a collaborative database you add to any LLM that supports MCP. (Claude Code, Desktop, and Pro for now; ChatGPT will soon). You can add, update, and search for items in the database inside chat. You can easily create your own object schemas. There is an automatically generated web UI for using the database. It generates maps, charts, calendars, tables, lists, and other UI elements. You can share or publish the database as well.<p>Over time, we want to make this database powerful enough to make our lives much simpler by letting LLMs replace a bunch of the apps and software services we use daily.

[Other] Run TypeScript code without worrying about configuration

[Other] Show HN: Conductor, a Mac app that lets you run a bunch of Claude Codes at once

[Other] Show HN: kiln – Git-native, decentralized secret management using age Hi HN, I&#x27;ve been building this tool for the past couple of weeks to solve a problem that seems universal across development teams: sharing environment variables securely.<p>You know the drill - someone needs the staging database URL, so it gets shared over chat. Production API keys end up in plaintext files. Or you set up some complex secret management system that becomes a single point of failure during critical deployments.<p>At Zerodha, we&#x27;re a stock broker with strict regulatory requirements. Our infrastructure needs to be auditable, and our data must stay with us for instant recovery. But the deeper issue was that every solution we tried made deployments dependent on external services.<p>We tried GitLab CI&#x27;s built-in secrets, but they&#x27;re stored unencrypted and only repository maintainers can access them. HashiCorp Vault was too complex to manage with painful ACL setup, plus it&#x27;s now crippled by their BSL license change. AWS Secrets Manager would create the vendor lock-in we wanted to avoid.<p>The breaking point came when we wanted to manage secrets through Terraform for idempotency and better infrastructure-as-code practices. But Terraform has no built-in way to encrypt secrets without relying on external providers. We could either store secrets in plaintext in our Terraform configs or add yet another external dependency to our deployment pipeline.<p>That&#x27;s when I had the idea: what if we could inject encrypted environment variables directly into Terraform, so anyone with the right key could deploy without hunting down secrets from different systems? As I iterated through this idea, I realized the same pattern would work for any application - from personal projects to team deployments.<p>So I built kiln. It encrypts environment variables using age encryption into files that live alongside your code. No servers, no network calls, no external dependencies. Each team member gets their own key, and you control access per environment.<p>Here&#x27;s how it works:<p><pre><code> # Generate a new age key, or use your existing SSH keys kiln init key # Initialize with your team&#x27;s public keys kiln init config --recipients &quot;alice=$(curl https:&#x2F;&#x2F;gitlab.company&#x2F;alice.keys)&quot; --recipients &quot;me=$(cat ~&#x2F;.ssh&#x2F;id_ed25519.pub)&quot; # Set secrets (prompts securely, never shows in terminal) kiln set DATABASE_URL kiln set API_KEY # Run your app with decrypted environment kiln run npm start # These encrypted files are safe to commit git add .kiln.env kiln.toml </code></pre> Why not SOPS? SOPS is great for general file encryption, but kiln is built specifically for the environment variable workflow. It has commands like &quot;run&quot;, &quot;export&quot;, and built-in team management. Think &quot;SOPS for .env files&quot; with a focus on developer UX.<p>Why not raw age encryption? Age is perfect for the crypto layer, but terrible for day-to-day team workflows. Try managing 20 team members across 5 environments with raw age commands - you&#x27;ll go insane. kiln handles the orchestration.<p>As for technical details, kiln:<p>- Uses age encryption (modern, audited, simple)<p>- Works with existing SSH keys or generates new age keys<p>- Role-based access via TOML configuration<p>- Single, cross-platform Go binary<p>- Zero network dependencies - everything works offline<p>- MIT licensed<p>The game-changer: secrets travel with code. No more &quot;can someone send me the staging secrets?&quot; in chat. No more broken deploys because the secret service is down. No more hoping your vendor doesn&#x27;t change their pricing or licensing.<p>Try it out - I&#x27;m confident it&#x27;ll help improve your team&#x27;s deployment workflows. Feel free to ask me any questions!<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;thunderbottom&#x2F;kiln">https:&#x2F;&#x2F;github.com&#x2F;thunderbottom&#x2F;kiln</a><p>Docs: <a href="https:&#x2F;&#x2F;kiln.sh" rel="nofollow">https:&#x2F;&#x2F;kiln.sh</a><p>Or install now: go install github.com&#x2F;thunderbottom&#x2F;kiln@latest