Show HN: Ragtoolina – MCP tool that adds codebase RAG to AI coding agents https://ift.tt/ajVBOcX

Show HN: Ragtoolina – MCP tool that adds codebase RAG to AI coding agents Ragtoolina is an MCP server that pre-indexes your codebase and provides targeted context to AI coding agents instead of letting them scan files one by one. I benchmarked it on Cal.com (~300K LOC, 40K GitHub stars): - 63% token reduction across 5 diverse query types - 43% fewer tool calls - Cost: $3.01 vs $7.81 per 5-query session The benchmark covers different complexity levels — from simple call-chain tracing to architectural understanding queries. RAG overhead doesn't pay off on trivial lookups (one query was actually worse with Ragtoolina), but on complex multi-file tasks the savings are substantial (up to 79% token reduction). Quality evaluation was done via blind AI-judge scoring (the judge didn't know which answer came from which system) across correctness, completeness, specificity, and conciseness. Ragtoolina matched or exceeded baseline quality on 4 out of 5 tasks. Works with any MCP-compatible client: Claude Code, Cursor, Windsurf, Claude Desktop. Free tier available, would appreciate any feedback. https://ift.tt/UPJ0yoR March 2, 2026 at 01:24AM

Show HN: Axiom – structural OCR for handwritten STEM notes https://ift.tt/Sker4hA

Show HN: Axiom – structural OCR for handwritten STEM notes I built Axiom after repeatedly running into the same problem with my own handwritten STEM notes. On paper, everything looks clean — equations aligned, steps grouped properly, tables laid out clearly. But the moment I scanned those pages and ran them through OCR (including LLM-based tools), the structure would fall apart. The characters were mostly correct, but the layout — which is what actually makes math readable — was gone. Aligned equations would lose alignment. Multi-step derivations would collapse into a single paragraph. Numbered problems would merge together. Tables would turn into plain text. Technically it was “extracted,” but practically it was unusable without manually fixing everything in LaTeX. That gap is what Axiom tries to solve. Instead of focusing purely on transcription accuracy, I focused on structural preservation. The current pipeline looks roughly like this: 1. OCR from image or PDF. 2. A structural prompt tuned specifically for math alignment, derivation grouping, numbered block preservation, and table detection. 3. A post-processing layer that normalizes LaTeX/Markdown output, merges math blocks, protects numbering tokens, and stabilizes table columns. 4. Export as compile-ready LaTeX, Markdown, or searchable PDF. The hardest part wasn’t getting the characters right. It was preventing structural drift — especially with aligned equations and multi-line derivations. I added alignment pattern detection, atomic pagination for LaTeX environments, and normalization passes to keep math blocks intact across pages. The goal isn’t “AI transcription.” It’s making handwritten STEM notes survive digitization without losing their mathematical structure. It runs entirely in the browser: https://ift.tt/Awy7ZWD https://ift.tt/Awy7ZWD March 1, 2026 at 10:12PM

Show HN: "Vote-MCP" -- a bit like Google Forms, but for AIs https://ift.tt/IqewgsF

Show HN: "Vote-MCP" -- a bit like Google Forms, but for AIs I'm building a "coordination primitive" for autonomous AI agents, i.e., a REST API where they can create polls and vote in order to make collective decisions. So, it's a bit like Google Forms, but for bots. It's fun to contemplate what constitutes a good UI for them. You can have your agent(s) explore it at https://ift.tt/pB1VdZx (the likes of Codex Mini or Claude Haiku should be enough). Heads up: the API provides Python code templates to help the caller cryptographically sign the payload, so take appropriate security precautions. Unlike humans I know, AI agents quite easily handle cryptography, which bakes in auditability and identity verification. I also made a Postman demo where you can step through the voting process. Please see the linked 'about' page for more. Does this approximate a solution to a real coordination problem you have? I'd love to hear. == For humans: https://ift.tt/vHn7jRl For AIs: https://ift.tt/kwuXZOm https://ift.tt/vHn7jRl March 1, 2026 at 01:43AM

Show HN: Optimal: Cost effective infra with agentic inbox https://ift.tt/wapmL3j

Show HN: Optimal: Cost effective infra with agentic inbox During a hackathon, I build this platform that will help compute cost optimal infra plans to run ML workloads. Plans are computed based on the nature of workload, reasearch papers for custom requirements and configs if set by the user. I also added an agentic inbox, so users can check status, ask questions and even kick off a training job on the go, without having to log into the dashboard. I wanted to know if this would be actually helpful in real scenarios and what more can be added so it addresses some more pain points. Let me know, thanks! Demo: https://www.youtube.com/watch?v=AOYevdJRmcQ https://ift.tt/9mijsNS February 28, 2026 at 10:56PM

Show HN: I Turned My CV into a Space Invaders Game (Rust and WASM) https://ift.tt/VcGKMeX

Show HN: I Turned My CV into a Space Invaders Game (Rust and WASM) https://breezko.dev February 27, 2026 at 11:40PM

Show HN: SplatHash – A lightweight alternative to BlurHash and ThumbHash https://ift.tt/WwFHqc1

Show HN: SplatHash – A lightweight alternative to BlurHash and ThumbHash Hi HN, I built SplatHash. It's a lightweight image placeholder generator I wrote to be a simpler, faster alternative to BlurHash and ThumbHash. Repo: https://ift.tt/h3rIejz https://ift.tt/h3rIejz February 28, 2026 at 01:24AM

Show HN: Polpo – Control Claude Code (and other agents) from your phone https://ift.tt/HbPSDKR

Show HN: Polpo – Control Claude Code (and other agents) from your phone Polpo is an open-source mobile controller for AI coding agents. It runs a lightweight server on your machine and gives you a phone-friendly dashboard to manage sessions, send prompts, approve tool calls, and review plans. We just released v1.1.0 with support for 5 agents (Claude Code, Codex, Gemini, OpenCode, Pi), skills management from the phone (browse/install/remove skills from skills.sh), and the ability to start new sessions without touching the terminal. The idea started because we wanted to kick off coding tasks from the couch and check on them from the phone. It grew from there. Built with Node.js, no framework on the frontend, WebSocket for real-time updates. Works on LAN or remotely via tunnel (cloudflared, localtunnel, ngrok, SSH). Built by PugliaTechs, a non-profit association from Puglia, Italy. https://ift.tt/YlP6k1i February 28, 2026 at 12:32AM