Show HN: A Markdown document manager in Rust https://ift.tt/d563H8f

Show HN: A Markdown document manager in Rust Hi HN, I’m an ex-Amazon engineer. I built Seychl because I was tired of waiting 3 seconds for my notes to load in cloud-based apps. Seychl is a local-first knowledge base designed for speed. UI interactions are always instant (<16ms). Features for power users: - Full keyboard control (never touch the mouse) - Vim mode built-in - Markdown storage (you own your data) - Instant search across 10k+ notes - Persistent Tmux-like sessions, windows and panes It’s basically "Linear for knowledge management" – focusing on ergonomics and speed over bloated features. You can download the binary here (currently MacOS only): https://github.com/Seychl/seychl-release/releases/download/0... https://www.seychl.app/ December 7, 2025 at 04:01AM

Show HN: AI Paul Graham https://ift.tt/gcPGKx3

Show HN: AI Paul Graham I built an AI version of Paul Graham, fully powered by the Nia API. * Nia gives coding agents accurate context by indexing entire codebases, documentation, and packages. It fixes hallucinations by letting agents retrieve real source information instead of guessing. Developers ship faster because AI can read and understand their actual project. This is a different use case of Nia but apparently it also works. You can chat with it and ask any question because it has access to Nia’s knowledge base, which indexed all of his personal essays. The agent is able to call multiple tools that directly use Nia’s API: • NiaWebSearch - searches the web • searchEssays - semantic search over all essays • browseEssays - shows the full tree of essays • listDirectory - lists essays in a path • readEssay - reads full essay content • grepEssays - regex pattern search • getSourceContent - retrieves full source by identifier Models: anthropic/claude-sonnet-4.5 moonshotai/kimi-k2-thinking xai/grok-4-fast-reasoning alibaba/qwen3-vl-thinking It’s fully free and open source. Try it: https://ift.tt/Bc5woA4 Code: https://ift.tt/lniRryu https://ift.tt/Bc5woA4 December 7, 2025 at 06:11AM

Show HN: S3 compatible store with 1M IOPS(4K-R,p99~5ms), BYOC in 5min with rust https://ift.tt/gNmXOki

Show HN: S3 compatible store with 1M IOPS(4K-R,p99~5ms), BYOC in 5min with rust https://ift.tt/dCcGD46 December 7, 2025 at 04:33AM

Show HN: Geetanjali – RAG-powered ethical guidance from the Bhagavad Gita https://ift.tt/1p6giAE

Show HN: Geetanjali – RAG-powered ethical guidance from the Bhagavad Gita I built a RAG application that retrieves relevant Bhagavad Gita verses for ethical dilemmas and generates structured guidance. The problem: The Gita has 701 verses. Finding applicable wisdom for a specific situation requires either deep familiarity or hours of reading. How it works: 1. User describes their ethical dilemma 2. Query is embedded using sentence-transformers 3. ChromaDB retrieves top-k semantically similar verses 4. LLM generates structured output: 3 options with tradeoffs, implementation steps, verse citations Tech stack: - Backend: FastAPI, PostgreSQL, Redis - Vector DB: ChromaDB with all-MiniLM-L6-v2 embeddings - LLM: Ollama (qwen2.5:3b) primary, Anthropic Claude fallback - Frontend: React + TypeScript + Tailwind Key design decisions: - RAG to prevent hallucination — every recommendation cites actual verses - Confidence scoring flags low-quality outputs for review - Structured JSON output for consistent UX - Local LLM option for privacy and zero API costs What I learned: - LLM JSON extraction is harder than expected. Built a three-layer fallback (direct parse → markdown block extraction → raw_decode scanning) - Semantic search on religious texts works surprisingly well for ethical queries - Smaller models (3B params) work fine when constrained by good prompts and retrieved context GitHub: https://ift.tt/fitEM6V Happy to discuss the RAG architecture or take feedback. https://ift.tt/yPTW5a1 December 7, 2025 at 02:18AM

Show HN: Nano.noq – Experimental key-container format https://ift.tt/0uX2GeD

Show HN: Nano.noq – Experimental key-container format Hi! This is an experimental learning project I've been working on. NANO.NOQ is a very small binary container format for AES-GCM keys. The entire implementation is inside a single HTML file using WebCrypto (no backend, no external dependencies). The .noq file format is simple: - header (“NOQ1”) - key length (2 bytes) - raw AES-256-GCM key - a 4-byte integrity slice (from SHA-256(key)) - 32 bytes of random padding The project does NOT add new cryptography on top of AES-GCM. It's purely an experiment in designing a file format for storing keys separately from ciphertext without copy/paste. There's also a mutation step for Base64URL ciphertext, but it is obfuscation only and not meant as a security layer. I’m not a professional programmer — I built this with AI assistance as a way to learn about key storage formats, integrity fields, and browser-based crypto workflows. Feedback, corrections, and criticism are very welcome. https://ift.tt/X7dIzc6 December 6, 2025 at 06:48AM

Show HN: Prophit – The AI Search Engine For Stocks https://ift.tt/QrZi4RJ

Show HN: Prophit – The AI Search Engine For Stocks https://ift.tt/yZqQwlL December 6, 2025 at 04:59AM

Show HN: Ogblocks – Create Jaw Dropping UIs with Simple Drag and Drop https://ift.tt/eVQnXK0

Show HN: Ogblocks – Create Jaw Dropping UIs with Simple Drag and Drop Hello everyone, I’m Karan — officially a Frontend Developer, but honestly, I relate more to being a Design Engineer because crafting beautiful interfaces is what I love most. When I began my coding journey, frontend instantly hooked me. I stuck with it because it felt like the perfect blend of logic and creativity. However, over time, I noticed something interesting: many of my developer friends dreaded writing CSS. Building clean, polished UIs takes time, patience, and a ridiculous amount of pixel-perfect tweaking. Yet, those same friends still wanted their projects to feel premium — smooth animations, modern layouts, and a top-tier user experience. That got me thinking… “What if anyone could drop stunning animated components into their site — without needing deep CSS knowledge?” Fast forward six months of late nights, trial and error, and way too much caffeine… and that idea became ogBlocks. ogBlocks is an Animated UI Library for React, packed with components that look premium and feel production-ready right out of the box. You’ll find navbars, modals, buttons, feature sections, text animations, carousels, and tons more — all designed to instantly level up your UI. I know you'll love it, just check it out Best Karan https://ogblocks.dev/ December 6, 2025 at 01:06AM