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[API/SDK] Using Claude Code SDK to reduce E2E test time

[Other] Show HN: Evalyze – AI investor matching from your pitch deck (feedback welcome) I used to work in VC and watched good teams lose months chasing the wrong investors. I’m building Evalyze to make the unglamorous parts faster and more precise.<p>After sign-up (email only, no card) you can:<p>- upload a deck or paste your site - get a ranked list of relevant VCs&#x2F;angels with a short “why” for each<p>What’s different: instead of dumping a big list, we try to explain why an investor fits based on stage, sector, check size, and portfolio patterns. It’s far from perfect and we want blunt feedback before opening wider.<p>Limits to know:<p>- newer funds and emerging managers can be underrepresented - geo nuances are still rough - matching can over-weight buzzwords if the deck is vague<p>I’d love critique on the ranking logic, signals you’d add&#x2F;remove, and any privacy concerns. If you don’t want to upload a deck, there’s a sample you can use to see the flow.<p>I’ll be here replying and shipping fixes as comments come in.

[Other] Show HN: Inception: Automatic Rust Trait Implementation by Induction Hi HN,<p>I thought this would be a good place to share a little puzzle I&#x27;ve been working on. Inception is a Rust library that helps you share behaviors in Rust using structural induction. Practically, this means that instead of having a derive macro for each behavior, a single derive can be used to enable any number of behaviors. It doesn&#x27;t do this using runtime reflection, but rather type-level programming - so there is monomorphization across the substructures, and (at least in theory) no greater overhead than with macro expansion.<p>While there are a lot of things missing still and the current implementation is very suboptimal, I&#x27;d say it proves the general concept for common structures. Examples of Clone&#x2F;Eq&#x2F;Hash&#x2F;etc replicas implemented in this way are provided.<p>The code is not idiomatic, which is my biggest reservation about continuing this work. It was fun to prove, but is not so fun to _improve_, as it feels a bit like swimming upstream. In any case I hope some of you find it interesting!

[Other] Show HN: Open-sourcing our text-to-CAD app Hey HN! I&#x27;m Zach from Adam (<a href="https:&#x2F;&#x2F;adam.new&#x2F;">https:&#x2F;&#x2F;adam.new&#x2F;</a>). We’re building an AI co-pilot for mechanical CAD software.<p>As part of our broader research, we built a browser-based Text-to-CAD app (<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44182206">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44182206</a>) and are now open sourcing it. This is a React SPA with a Supabase backend.<p>What it does:<p>* Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references<p>* Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension tweaking<p>* Exports as .STL or .SCAD<p>Under the hood:<p>* Separate agents for conversation and code generation; simple parameter tweaks bypass AI entirely using deterministic regex-based updates<p>* Runs fully in-browser by compiling OpenSCAD to WebAssembly and integrating Three.js with React Three Fiber for 3D rendering<p>* Supports BOSL, BOSL2, MCAD libraries and custom font support (Geist) for text in models<p>We’ve seen many developers trying to replicate this kind of functionality, so we’re releasing this to give the community a solid foundation to build on.<p>Future improvements:<p>* Expand geometry support - Move beyond CSG primitives to support curved surfaces, fillets, lofts, and constraint-driven modeling through CadQuery&#x2F;Build123D<p>* Better spatial context - UI for face&#x2F;edge selection and viewport image integration to give LLMs spatial understanding<p>* Enhanced capabilities - RAG on documentation and integration with more OpenSCAD libraries for features like proper threading<p>You can clone the repo and run it locally! Contributions are welcome, and we’ll keep merging PRs as they come in.

[Other] Use singular nouns for database table names

[Other] Data Modeling Guide for Real-Time Analytics with ClickHouse

[Other] Building an acoustic camera with UMA-16 and Acoular

[Other] I Ditched Docker for Podman (and You Should Too)

[Other] IRHash: Efficient Multi-Language Compiler Caching by IR-Level Hashing

[CLI Tool] Show HN: rm-safely – A shell alias that moves files to trash instead of deleting I made rm-safely, a simple shell wrapper that moves files to trash instead of permanently deleting them. It prevents accidental deletions from autocomplete mishaps or hasty rm -rf commands.<p>Should work as a drop-in replacement for rm but safer.<p>Would appreciate any feedback!

[Other] Microsoft BASIC for 6502 Microprocessor – Version 1.1 <a href="https:&#x2F;&#x2F;opensource.microsoft.com&#x2F;blog&#x2F;2025&#x2F;09&#x2F;03&#x2F;microsoft-open-source-historic-6502-basic&#x2F;" rel="nofollow">https:&#x2F;&#x2F;opensource.microsoft.com&#x2F;blog&#x2F;2025&#x2F;09&#x2F;03&#x2F;microsoft-o...</a>

[Other] API Blueprint

[Other] Show HN: VoiceGecko – System-wide voice-to-text that types anywhere

[Database] Show HN: Text2SQL with a Graph Semantic Layer Built QueryWeaver, an open-source text2SQL tool that uses a graph to create a semantic layer on top of your existing databases. When you ask &quot;show me customers who bought product X in a certain ‘REGION’ over the last Y period of time,&quot; it knows which tables to join and how. When you follow up with &quot;just the ones from Europe,&quot; it remembers what you were talking about.<p>Instead of feeding the model a list of tables and columns, we feed it a graph that understands what a customer is, how it connects to orders, which products belong to a campaign, and what &quot;active user&quot; actually means in your business context. We used FalkorDB for the graph part because it handles relationship mapping better than cramming table schemas into prompts. Graphiti tracks the conversation so follow-ups actually work. Final notes: Your data stays in your databases. We read from existing schemas, never migrate data. Standard SQL outputs you can run anywhere. We&#x27;ve built an MCP and you can generate an API key to take it for a spin. Please, tell us how it’s working out for you!

[Other] Amazonq.nvim: Official AWS AI Assistant Plugin for Neovim

[Other] Lit: a library for building fast, lightweight web components

[Other] Sparrow: C++20 Idiomatic APIs for the Apache Arrow Columnar Format

[Other] Show HN: PasteVault – An open-source, E2EE pastebin with a VS Code-like editor

[CLI Tool] Show HN: I built a deep research tool for local file system I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful.<p>so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section.<p>it feels like having a lightweight research assistant for my local file system. I have been trying it on papers, long reports and even scanned files and it already works better than I expected. repo - <a href="https:&#x2F;&#x2F;github.com&#x2F;Datalore-ai&#x2F;deepdoc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Datalore-ai&#x2F;deepdoc</a><p>Currently citations are not implemented yet since this version was mainly to test the concept, I will be adding them soon and expand it further if you guys find it interesting.

[Other] Show HN: Moribito – A TUI for LDAP Viewing/Queries Check out my TUI I wrote for viewing and querying an LDAP. I need to do basic queries and validation daily for work, and as I work on a mac, there are really no good options. The major player is the Apache Directory Studio which is... not great. So I decided to create a new one.