Show HN: PhenixCode – Added admin dashboard for multi-server management https://ift.tt/h012Xul

Show HN: PhenixCode – Added admin dashboard for multi-server management I built PhenixCode — an open-source, self-hosted and customizable alternative to GitHub Copilot Chat. Why: I wanted a coding assistant that runs locally, with full control over models and data. Copilot is great, but it’s subscription-only and cloud-only. PhenixCode gives you freedom: use local models (free) or plug in your own API keys. Use the new admin dashboard GUI to visually configure the RAG settings for multi-server management. https://ift.tt/3axOsvZ December 13, 2025 at 01:46AM

Show HN: I'm building an open-source Amazon https://ift.tt/3mWsX1e

Show HN: I'm building an open-source Amazon I'm building an open source Amazon. In other words, an open source decentralized marketplace. But like Carl Sagan said, to make an apple pie from scratch, you must first invent the universe. So first I had to make open source management systems for every vertical. I'm launching the first one today, Openfront e-commerce, an open source Shopify alternative. Next will be Openfront restaurant, Openfront grocery, and Openfront gym. And all of these Openfronts will connect to our decentralized marketplace, "the/marketplace", seamlessly. Once we launch other Openfronts, you'll be able to do everything from booking hotels to ordering groceries right from one place with no middle men. The marketplace simply connects to the Openfront just like its built-in storefront does. Together, we can use open source to disrupt marketplaces and make sure sellers, in every vertical, are never beholden to them. Marketplace: https://ift.tt/qVmj0fs Openfront platforms: https://ift.tt/BxkrAaT Source code: https://ift.tt/ET5Zgcx Demo - Openfront: https://youtu.be/jz0ZZmtBHgo Demo - Marketplace: https://youtu.be/LM6hRjZIDcs Part 1 - https://ift.tt/9pNRqmx https://openship.org December 12, 2025 at 11:49PM

Show HN: ESLint Plugin for styled-jsx https://ift.tt/N2vg3eL

Show HN: ESLint Plugin for styled-jsx https://ift.tt/hcTV3HG December 12, 2025 at 11:44PM

Show HN: I used Gemini 3 to turn 42 books into interactive webpages in 2 weeks https://ift.tt/OSkboK8

Show HN: I used Gemini 3 to turn 42 books into interactive webpages in 2 weeks https://ift.tt/L7O19oh December 12, 2025 at 12:15AM

Show HN: An endless scrolling word search game https://ift.tt/Ga3CVFI

Show HN: An endless scrolling word search game I built a procedurally generated word-search game where the puzzle never ends - as you scroll, the grid expands infinitely and new words appear. It’s designed to be quick to pick up, satisfying to play, and a little addictive. The core game works without an account using the pre-defined games, but signing up allows you to generate games using any topic you can think of. I’d love feedback on gameplay, performance, and whether the endless format feels engaging over time. If you try it, I’d really appreciate any bug reports or suggestions. Thanks in advance! https://ift.tt/TbIBkpO December 11, 2025 at 07:31PM

Show HN: SIM – Apache-2.0 n8n alternative https://ift.tt/vuDFfxW

Show HN: SIM – Apache-2.0 n8n alternative Hey HN, Waleed here. We're building Sim ( https://sim.ai/ ), an open-source visual editor to build agentic workflows. Repo here: https://ift.tt/2YaXb9s . Docs here: https://docs.sim.ai . You can run Sim locally using Docker, with no execution limits or other restrictions. We started building Sim almost a year ago after repeatedly troubleshooting why our agents failed in production. Code-first frameworks felt hard to debug because of implicit control flow, and workflow platforms added more overhead than they removed. We wanted granular control and easy observability without piecing everything together ourselves. We launched Sim [1][2] as a drag-and-drop canvas around 6 months ago. Since then, we've added: - 138 blocks: Slack, GitHub, Linear, Notion, Supabase, SSH, TTS, SFTP, MongoDB, S3, Pinecone, ... - Tool calling with granular control: forced, auto - Agent memory: conversation memory with sliding window support (by last n messages or tokens) - Trace spans: detailed logging and observability for nested workflows and tool calling - Native RAG: upload documents, we chunk, embed with pgvector, and expose vector search to agents - Workflow deployment versioning with rollbacks - MCP support, Human-in-the-loop block - Copilot to build workflows using natural language (just shipped a new version that also acts as a superagent and can call into any of your connected services directly, not just build workflows) Under the hood, the workflow is a DAG with concurrent execution by default. Nodes run as soon as their dependencies (upstream blocks) are satisfied. Loops (for, forEach, while, do-while) and parallel fan-out/join are also first-class primitives. Agent blocks are pass-through to the provider. You pick your model (OpenAI, Anthropic, Gemini, Ollama, vLLM), and and we pass through prompts, tools, and response format directly to the provider API. We normalize response shapes for block interoperability, but we're not adding layers that obscure what's happening. We're currently working on our own MCP server and the ability to deploy workflows as MCP servers. Would love to hear your thoughts and where we should take it next (: [1] https://ift.tt/xs8VpwB [2] https://ift.tt/HNrzdvM https://ift.tt/sjxM9IC December 11, 2025 at 10:50PM

Show HN: Cargo-rail: graph-aware monorepo tooling for Rust; 11 deps https://ift.tt/IRgvneA

Show HN: Cargo-rail: graph-aware monorepo tooling for Rust; 11 deps https://ift.tt/6cgJeyC December 11, 2025 at 02:19AM

Show HN: I launched a podcast to interview makers https://ift.tt/eUpjQsL

Show HN: I launched a podcast to interview makers For years I’ve wanted to start a podcast to interview curious and passionate makers in the depths of their creative pursuits. I would love any feedback, a rating, and if you know anyone would would make a great guest, please let me know! https://ift.tt/IJzFHjm December 11, 2025 at 12:40AM

Show HN: A 2-row, 16-key keyboard designed for smartphones https://ift.tt/H5gyrYI

Show HN: A 2-row, 16-key keyboard designed for smartphones Mobile keyboards today are almost entirely based on the 26-key, 3-row QWERTY layout. Here’s a new 2-row, 16-key alternative designed specifically for smartphones. https://ift.tt/0kW4bF2 December 10, 2025 at 11:19PM

Show HN: Gemini 3 imagines Hacker News as a HyperCard stack in 1994 https://ift.tt/IZ4OV6U

Show HN: Gemini 3 imagines Hacker News as a HyperCard stack in 1994 https://hyper-card-hacker-news.vercel.app/ December 10, 2025 at 04:34AM

Show HN: Advent of Back Ends https://ift.tt/tTuScQ8

Show HN: Advent of Back Ends Build AI Agents, Workflows, Backend systems live every day for 30 days. https://adventofbackends.vercel.app/ December 9, 2025 at 11:56PM

Show HN: Agentic Reliability Framework – Multi-agent AI self-heals failures https://ift.tt/w3emP86

Show HN: Agentic Reliability Framework – Multi-agent AI self-heals failures Hey HN! I'm Juan, former reliability engineer at NetApp where I handled 60+ critical incidents per month for Fortune 500 clients. I built ARF after seeing the same pattern repeatedly: production AI systems fail silently, humans wake up at 3 AM, take 30-60 minutes to recover, and companies lose \$50K-\$250K per incident. ARF uses 3 specialized AI agents: Detective: Anomaly detection via FAISS vector memory Diagnostician: Root cause analysis with causal reasoning Predictive: Forecasts failures before they happen Result: 2-minute MTTR (vs 45-minute manual), 15-30% revenue recovery. Tech stack: Python 3.12, FAISS, SentenceTransformers, Gradio Tests: 157/158 passing (99.4% coverage) Docs: 42,000 words across 8 comprehensive files Live demo: https://ift.tt/S1GEdPk... The interesting technical challenge was making agents coordinate without tight coupling. Each agent is independently testable but orchestrated for holistic analysis. Happy to answer questions about multi-agent systems, production reliability patterns, or FAISS for incident recall! GitHub: https://ift.tt/eQtMJcn (Also available for consulting if you need this deployed in your infrastructure: https://lgcylabs.vercel.app/ ) https://ift.tt/eQtMJcn December 9, 2025 at 10:25PM

Show HN: Fanfa – Interactive and animated Mermaid diagrams https://ift.tt/GYmpxDH

Show HN: Fanfa – Interactive and animated Mermaid diagrams https://fanfa.dev/ December 4, 2025 at 06:46PM

Show HN: Edge HTTP to S3 https://ift.tt/mO9R8lc

Show HN: Edge HTTP to S3 Hi HN, Edge.mq makes it very easy to ship data from the edge to S3. EdgeMQ is a managed HTTP to S3 edge ingest layer that takes events from services, devices, and partners on the public internet and lands them durably in your S3 bucket, ready for tools like Snowflake, Databricks, ClickHouse, DuckDB, and feature pipelines. Design focus on simplicity, performance and security. https://edge.mq/ December 8, 2025 at 11:35PM

Show HN: Diesel-guard – Lint Diesel migrations for unsafe PostgreSQL patterns https://ift.tt/OzwVfBd

Show HN: Diesel-guard – Lint Diesel migrations for unsafe PostgreSQL patterns https://ift.tt/3kYmL2s December 8, 2025 at 10:48PM

Show HN : WealthYogi - Net worth Tracker https://ift.tt/8yvoLau

Show HN : WealthYogi - Net worth Tracker Hey everyone I’ve been on my FIRE journey for a while and got tired of juggling spreadsheets, brokers, and bank apps — so I built WealthYogi, a privacy-first net worth tracker focused on clarity and peace of mind. Why Like many FIRE folks, I was juggling spreadsheets, bank apps, and broker dashboards — but never had one clear, connected view of my true net worth. Most apps required logins or shared data with third parties — not ideal if you care about privacy. So I built WealthYogi to be: Offline-first & private — all data stays 100% on your device Simple — focus purely on your wealth trajectory, not budgeting noise Multi-currency — 23 currencies, supporting GBP, USD, EUR, INR and more What it does now * Tracks your net worth and portfolio value in real time * Categorises assets (liquid, semi-liquid, illiquid) and liabilities (loans, mortgages, etc.) * Multi-currency support (GBP, USD, EUR, INR and more) * Privacy-first: all data stays 100% on your device * 10+ Financial Health Indicators and Personalised Finance Health Score and Suggestions to improve * Minimal, distraction-free design focused purely on your wealth trajectory Planned features (already in development) Real-time account sync Automatic FX updates Import/Export support More currency account types Debt tracking Net worth forecasting Pricing Free Trial for 3 days. One time deal currently running till 10th December. Monthly and Yearly Subscriptions available. Would love your feedback 1. Try the app and share honest feedback — what works, what feels clunky 2. Tell us what features you’d love to see next (especially FIRE-specific ideas!) 3. Share how you currently track your net worth — spreadsheet, app, or otherwise Here’s the link again: WealthYogi on the App Store ( https://ift.tt/dBIz8Q2 ) WealthYogi on the Android ( https://ift.tt/VDIzlpy... ) Demo ( https://youtu.be/KUiPEQiLyLY ) I am building this for the FIRE and personal finance enthusiasts, and your feedback genuinely guides our roadmap. — The WealthYogi Team hello@datayogi.io https://ift.tt/ifGM5AW December 8, 2025 at 05:43AM

Show HN: OpenFret – Guitar inventory, AI practice, and a note-detection RPG https://ift.tt/RbIuxdl

Show HN: OpenFret – Guitar inventory, AI practice, and a note-detection RPG I'm a solo dev and guitarist who got frustrated juggling separate apps for tracking gear, practicing, and collaborating. So I built OpenFret—one platform that handles all of it. What it does: 1) Smart inventory – Add your guitars, get auto-filled specs from ~1,000 models in the database. Track woods, pickups, tunings, string changes, photos. 2) AI practice sessions – Generate personalized tabs and lessons based on your practice history. Rendered with VexFlow notation. 3) Session Mode – Version-controlled music collaboration (think Git for audio). Fork tracks, add layers, see history, merge contributions. 4) Musical tools – Tuner, metronome, scale visualizer, chord progressions, fretboard maps. Last.fm integration for tracking what songs you're learning. 5) Guitar RPG – Fight monsters by playing real guitar notes. Web Audio API detects your playing. 300+ hand-crafted lessons from beginner to advanced. What you can try without signing up: 1) The RPG demo is completely free, no account needed: https://ift.tt/qEAMkwr — just click "Start Battle" and play. It's capped at level 10 but gives you a real feel for the note detection. The full platform (inventory, AI practice, sessions) requires Discord or magic link auth. Current state: Beta. Core features work, actively adding content. The RPG has 300+ lessons done with more coming. Full game is $10 one-time, everything else is free. Why I built it: I have a basement music setup and wanted one place to track when I last changed strings, get practice material that adapts to what I'm working on, and collaborate without DM'ing WAV/MP3 files. Tech: Next.js (T3), Web Audio API for pitch detection, VexFlow for notation, Strudel integration for algorithmic backing tracks, Last.fm API. Happy to answer questions about the AI tab generation, note detection, or the Git-style collaboration model. https://ift.tt/osA0Mwt December 8, 2025 at 02:49AM

Show HN: Minimal container-like sandbox built from scratch in C https://ift.tt/jKyFAwm

Show HN: Minimal container-like sandbox built from scratch in C Runbox recreates core container features without relying on existing runtimes or external libraries. It uses namespaces, cgroups v2, and seccomp to create an isolated process environment, with a simple shell for interaction. For future gonna work on adding an interface so external applications can be executed inside Runbox, similar to containers. Github: https://ift.tt/IBwSlrp Happy to hear feedback or suggestions. https://ift.tt/IBwSlrp December 7, 2025 at 06:23PM

Show HN: TapeHead – A CLI tool for stateful random access of file streams https://ift.tt/svqz0Ug

Show HN: TapeHead – A CLI tool for stateful random access of file streams I wrote this tool while debugging a driver because I couldn't find a tool that allowed me to open a file, seek randomly, and read and write. I thought it might one day be useful to someone too. https://ift.tt/8AZMTep December 7, 2025 at 01:53AM

Show HN: Manifesto – An AI-Native UI Framework Intent-to-State, Not Text-to-App https://ift.tt/iPaITjV

Show HN: Manifesto – An AI-Native UI Framework Intent-to-State, Not Text-to-App Hi HN, I'm the creator of Manifesto AI. I've noticed that while LLMs are getting smarter, their ability to interact with complex Web UIs is still fragile. Agents usually have to "guess" DOM selectors or rely on vision, which leads to hallucinations and broken workflows. I realized that for AI to be useful in SaaS/B2B software, we don't need "Generative UI" (Text-to-App); we need a deterministic "State Layer" that agents can understand and control directly. So I built Manifesto. It's a schema-first UI engine where: 1. You define the form/UI as a JSON Schema. 2. The engine renders it (React/Vue). 3. Crucially, it exports a "Semantic Snapshot" to the AI Agent. Instead of parsing pixels, the Agent receives a clean JSON state (values, validation rules, available actions) and dispatches "Intents" (e.g., `setValue`, `submit`) to the engine. Disclaimer: I built the core engine and this demo in just 4 days. It is currently in a very early Alpha (v0.1) stage. I’m sharing this early because I want to validate if this "Intent-to-State" architecture makes sense to other developers. I'd love to hear your feedback on the approach. Roast my code or the concept! Demo: https://ift.tt/jNdplFw Repo: https://ift.tt/UOtCkG5 https://ift.tt/4EhIVKl December 6, 2025 at 11:24PM

Show HN: AgentPG – Stateful AI Agents in Go with PostgreSQL Persistence https://ift.tt/XByrudY

Show HN: AgentPG – Stateful AI Agents in Go with PostgreSQL Persistence https://ift.tt/Kw5VPJU December 6, 2025 at 11:07PM

Show HN: Bible Note Journal – AI transcription and study tools for sermons (iOS) https://ift.tt/CgnsGio

Show HN: Bible Note Journal – AI transcription and study tools for sermons (iOS) I got back into church a couple years ago and would try taking notes with Apple Notes. It was a struggle trying to type notes while focusing on the sermon. Honestly, it would have been easier to write it in a notebook but in the end I built this iOS app to solve that problem. You can record audio during a sermon (or upload files), and it transcribes using Whisper, then generates summaries, flashcards, and reflection questions tailored to Christian content. The backend is Spring Boot + Kotlin calling OpenAI's API. Instead of deploying the backend through one of the cloud providers directly I decided to go with Railway. Users are notified with push notifications when their transcription and summary are completed. The iOS app uses SwiftUI and out-of-the-box SwiftUI components. I worked with Spring Boot + Java a few years back when in fintech so it was cool to try writing something in Kotlin. I'm also a full-time Flutter dev that has been trying to get into Native iOS development and felt like I found a good use case for an app. Currently only available in the US/Canada App Store. There is a free 3-day trial that you can use to give the app a go. The goal was helping Christians retain more from sermons and build stronger biblical literacy. Happy to answer questions about the architecture, AI prompting approach for Christian content, or anything else. App Store link: https://ift.tt/cdD9gCm... https://ift.tt/qg7IhHP December 6, 2025 at 02:13AM

Show HN: HCB Mobile – financial app built by 17 y/o, processing $6M/month https://ift.tt/aVGYoXq

Show HN: HCB Mobile – financial app built by 17 y/o, processing $6M/month Hey everyone! I just built a mobile app using Expo (React Native) for a platform that moves $6M/month. It’s a neobank used by 6,500+ nonprofit organizations across the world. One of my biggest challenges, while juggling being a full-time student, was getting permission from Apple/Google to use advanced native features such as Tap to Pay (for in-person donations) and Push Provisioning (for adding your card to your digital wallet). It was months of back-and-forth emails, test case recordings, and also compliance checks. Even after securing Apple/Google’s permission, any minor fix required publishing a new build, which was time-consuming. After dealing with this for a while, I adopted the idea of “over the air updates” using Expo’s EAS update service. This allowed me to remotely trigger updates without needing a new app build. The 250 hours I spent building this app were an INSANE learning experience, but it was also a whole lot of fun. Give the app a try, and I’d love any feedback you have on it! btw, back in March, we open-sourced this nonprofit neobank on GitHub. https://ift.tt/KCJskIj https://ift.tt/PemiSdq December 3, 2025 at 09:50AM

Show HN: SerpApi MCP Server https://ift.tt/VfuXc12

Show HN: SerpApi MCP Server https://ift.tt/MqRcKSj December 6, 2025 at 12:00AM

Show HN: Playwright for Windows Computer Use https://ift.tt/bmYOn0V

Show HN: Playwright for Windows Computer Use https://ift.tt/vNfFcSr December 5, 2025 at 04:15AM

Show HN: I Built an UI Library that lets you create beautiful UIs in Minutes https://ift.tt/tx2lwLV

Show HN: I Built an UI Library that lets you create beautiful UIs in Minutes Hello Everyone, My name is Karan, and I'm a Frontend Developer, but I feel like I'm more of a Design Engineer because of my love for creating UIs When I started my development journey, I fell for frontend development and stuck with it ever since But I noticed that many of my friends hated writing CSS because creating UIs is a very tedious and time-consuming process, and you have to be pixel-perfect But at the same time, they also wanted their project to look premium with beautiful animations and a world-class user experience That's when I thought "What if anyone could integrate beautiful animated components into their website regardless of their CSS skills?" And after six months of pain and restless nights, I finally built ogBlocks to solve this problem. It is an Animated UI Library for React that contains all the cool animations that will make it look premium and production-grade ogBlocks has navbars, modals, buttons, feature sections, text animations, carousels, and much more. I hope you'll love it Best Karan https://ogblocks.dev/ December 5, 2025 at 02:29AM

Show HN: Cheap OpenTelemetry lakehouses with Parquet, DuckDB, and Iceberg https://ift.tt/LX5WDBc

Show HN: Cheap OpenTelemetry lakehouses with Parquet, DuckDB, and Iceberg Side project: exploring storing and querying OpenTelemetry data with duckdb, open table formats, and cheap object storage with some rust glue code. Yesterday, AWS made this exact sort of data architecture lot easier with new CloudWatch features: https://ift.tt/n6DGpea... https://ift.tt/lQE0qzX December 5, 2025 at 02:12AM

Show HN: Fresh – A new terminal editor built in Rust https://ift.tt/kIPSvRH

Show HN: Fresh – A new terminal editor built in Rust I built Fresh to challenge the status quo that terminal editing must require a steep learning curve or endless configuration. My goal was to create a fast, resource-efficient TUI editor with the usability and features of a modern GUI editor (like a command palette, mouse support, and LSP integration). Core Philosophy: - Ease-of-Use: Fundamentally non-modal. Prioritizes standard keybindings and a minimal learning curve. - Efficiency: Uses a lazy-loading piece tree to avoid loading huge files into RAM - reads only what's needed for user interactions. Coded in Rust. - Extensibility: Uses TypeScript (via Deno) for plugins, making it accessible to a large developer base. The Performance Challenge: I focused on resource consumption and speed with large file support as a core feature. I did a quick benchmark loading a 2GB log file with ANSI color codes. Here is the comparison against other popular editors: - Fresh: Load Time: *~600ms* | Memory: *~36 MB* - Neovim: Load Time: ~6.5 seconds | Memory: ~2 GB - Emacs: Load Time: ~10 seconds | Memory: ~2 GB - VS Code: Load Time: ~20 seconds | Memory: OOM Killed (~4.3 GB available) (Only Fresh rendered the ansi colors.) Development process: I embraced Claude Code and made an effort to get good mileage out of it. I gave it strong specific directions, especially in architecture / code structure / UX-sensitive areas. It required constant supervision and re-alignment, especially in the performance critical areas. Added very extensive tests (compared to my normal standards) to keep it aligned as the code grows. Especially, focused on end-to-end testing where I could easily enforce a specific behavior or user flow. Fresh is an open-source project (GPL-2) seeking early adopters. You're welcome to send feedback, feature requests, and bug reports. Website: https://sinelaw.github.io/fresh/ GitHub Repository: https://ift.tt/s06E2k3 https://sinelaw.github.io/fresh/ December 3, 2025 at 08:15PM

Show HN: Golang Client Library for Gradium.ai TTS/STT API https://ift.tt/GmTxptF

Show HN: Golang Client Library for Gradium.ai TTS/STT API https://ift.tt/DowhegG December 3, 2025 at 01:22AM

Show HN: Meeting Detection – a small Rust engine that detects meetings on macOS https://ift.tt/bSJKux6

Show HN: Meeting Detection – a small Rust engine that detects meetings on macOS I built a small open-source meeting detection engine for macOS. The goal is to provide a simple and accurate way for apps to know when a user is in a Zoom/Meet/Teams/Webex meeting. A lot of meeting recorders, productivity tools, and focus apps try to detect meetings, but the results are often unreliable. Some apps pop up “You’re in a meeting” suggestions even when nothing is happening. I wanted something that works consistently and is easy for developers to integrate. The engine is written in Rust and exposed to Node/Electron via napi-rs. It runs a lightweight background loop and uses two tiers: 1. Native app detection (Zoom, Teams, Webex) • process detection • meeting-related network activity 2. Browser meeting detection (Google Meet, Teams Web, Zoom Web, Webex Web) • reads browser tabs via AppleScript • validates meeting URL patterns • supports Chrome, Safari, and Edge It exposes a very simple JS API: init(); onMeetingStart((_, d) => console.log("Meeting started:", d.appName)); onMeetingEnd(() => console.log("Meeting ended")); console.log(isMeetingActive()); Would love feedback, especially from anyone building recorders, focus apps, calendar tools, etc. Windows + Linux support coming next. https://ift.tt/xVZwIjq December 3, 2025 at 01:47AM

Show HN: SMART report viewer – Simple tool to analyze smartctl outputs https://ift.tt/Vc1EKZg

Show HN: SMART report viewer – Simple tool to analyze smartctl outputs https://ift.tt/DoR3dPe December 3, 2025 at 12:29AM

Show HN: Valknut – static analysis to tame agent tech debt https://ift.tt/9ajBimK

Show HN: Valknut – static analysis to tame agent tech debt Hi y'all, In my work to reduce the amount of time I spend in the agentic development loop, I observed that code structure was one of the biggest determinants in agent task success. Ironically, agents aren't good at structuring code for their own consumption, so left to their own devices purely vibe-coded projects will tend towards dumpster fire status. Agents aren't great at refactoring out of the box either, so rather than resign myself to babysitting refactors to maintain agent performance, I wrote a tool to put agents on rails while refactoring. Another big problem I encountered trying to remove myself from the loop was knowing where to spend my time efficiently when I did dive into the codebase. To combat this I implemented a html report that simplifies identifying high level problem. In many cases you can click from an issue in the report directly to the code via VS Code links. I hope you find this tool as useful as I have, I'm working on it actively so I'm happy to field feature requests. https://ift.tt/cd6pMzO December 2, 2025 at 11:14PM

Show HN: RFC Hub https://ift.tt/6rG0utF

Show HN: RFC Hub I've worked at several companies during the past two decades and I kept encountering the same issues with internal technical proposals: - Authors would change a spec after I started writing code - It's hard to find what proposals would benefit from my review - It's hard to find the right person to review my proposals - It's not always obvious if a proposal has reached consensus (e.g. buried comments) - I'm not notified if a proposal I approved is now ready to be worked on And that's just scratching the surface. The most popular solutions (like Notion or Google Drive + Docs) mostly lack semantics. For example it's easy as a human to see a table in a document with rows representing reviewers and a checkbox representing review acceptance but it's hard to formally extract meaning and prevent a document from "being published" when criteria isn't met. RFC Hub aims to solve these issues by building an easy to use interface around all the metadata associated with technical proposals instead of containing it textually within the document itself. The project is still under heavy development as I work on it most nights and weekends. The next big feature I'm planning is proposal templates and the ability to refer to documents as something other than RFCs (Request for Comments). E.g. a company might have a UIRFC for GUI work (User Interface RFCs), a DBADR (Database Architecture Decision Record), etc. And while there's a built-in notification system I'm still working on a Slack integration. Auth works by sending tokens via email but of course RFC Hub needs Google auth. Please let me know what you think! https://rfchub.app/ December 1, 2025 at 10:34PM

Show HN: An AI zettelkasten that extracts ideas from articles, videos, and PDFs https://ift.tt/BJ349PV

Show HN: An AI zettelkasten that extracts ideas from articles, videos, and PDFs Hey HN! Over the weekend (leaning heavily on Opus 4.5) I wrote Jargon - an AI-managed zettelkasten that reads articles, papers, and YouTube videos, extracts the key ideas, and automatically links related concepts together. Demo video: https://youtu.be/W7ejMqZ6EUQ Repo: https://ift.tt/XLsjmTJ You can paste an article, PDF link, or YouTube video to parse, or ask questions directly and it'll find its own content. Sources get summarized, broken into insight cards, and embedded for semantic search. Similar ideas automatically cluster together. Each insight can spawn research threads - questions that trigger web searches to pull in related content, which flows through the same pipeline. You can explore the graph of linked ideas directly, or ask questions and it'll RAG over your whole library plus fresh web results. Jargon uses Rails + Hotwire with Falcon for async processing, pgvector for embeddings, Exa for neural web search, crawl4ai as a fallback scraper, and pdftotext for academic papers. https://ift.tt/XLsjmTJ December 1, 2025 at 11:50PM