Show HN: Replacing my OS process scheduler with an LLM https://ift.tt/BponF6b December 30, 2025 at 10:17PM
Show HN: I remade my website in the Sith Lord Theme and I hope it's fun I used the time over Christmas and in between the years to redesign my website. This time I decided to make it in the theme of an evil Sith Lord that commands the Galactic Cookie Empire, because I found my previous cookie consent game a bit boring after a while. Here's the website's welcome page and the cookie consent game: https://ift.tt/mZ1rvFy (the cookie consent game isn't started on any other page of my website, only on the welcome page) I also made a "making of" weblog article series, in case you're interested in the development process and how I implemented it and what kind of troubles I went through already: - Making of the Game: https://ift.tt/ojnhezX... - Making of the Avatar: https://ift.tt/ojnhezX... - Debuggers to toy around with: https://ift.tt/6HUhtQ0 It "should" work on modern browsers. I tested it on Firefox on Linuxes, Chrome/Chromium on Linuxes, and Safari on Macbook. Don't have an iPhone so I can't test that, but my two old Android phones were also working fine with the meta viewport hack (I can't believe this is still the "modern" way to do things after 15 years. Wtf). Best experience is of course with a bigger display. On smaller screen sizes, the game will use a camera to zoom around the game world and follow the player's spaceship. Minimum window width is 1280 pixels for no camera, and I think 800 pixels to be playable (otherwise the avatar gets in the way too much in the boss fights). Oh, there's also a secret boss fight that you can unlock when you toy around with the Dev Tools :) What's left to do on the avatar animation side: - I have to backport CMUdict to JavaScript / ECMAScript. That's what I'm working on right now, as I'm not yet satisfied with the timings of the phonemes. Existing tools and pipelines that do this in python aren't realtime, which leads to my next point. - I want to switch to using the "waveform energy detection" and a zero cross rate detector to time phonemes more correctly. I believe that changes in waveforms and their structures can detect differences in phonemes, but it's a gut feeling and not a scientific fact. Existing phoneme animation papers were kind of shit and broken (see my making of article 2). The phoneme boundary detector is highly experimental though and is gonna need a couple weeks more time until it's finished. That's it for now, hope you gonna enjoy your stay on my website and I hope you gonna have fun playing the Cookie Consent Game :) Oh, also, because it might not be obvious: No LLMs were used in the making of this website. Pretty much everything is hand-coded, and unbundled and unminified on purpose so visitors can learn from the code if they want to. ~Cookie https://ift.tt/mZ1rvFy December 30, 2025 at 11:38PM
Show HN: Brainrot Translator – Convert corporate speak to Gen Alpha and back Hey HN, I built this because the generational gap online is getting wider (and weirder). It’s an LLM-wrapper that translates "Boomer" (normal/corporate English) into "Brainrot" (Gen Alpha slang) and vice versa. It also has an "Image-to-Rot" feature that uses vision to describe uploaded images in slang. It’s mostly for fun, but actually kind of useful for deciphering what your younger cousins are saying. Would love to hear what you think! https://ift.tt/dws3lcb December 30, 2025 at 10:21PM
Show HN: Aroma: Every TCP Proxy Is Detectable with RTT Fingerprinting TL;DR explanation (go to https://ift.tt/SEYRdmh... if you want the formatted version) This is done by measuring the minimum TCP RTT (client.socket.tcpi_min_rtt) seen and the smoothed TCP RTT (client.socket.tcpi_rtt). I am getting this data by using Fastly Custom VCL, they get this data from the Linux kernel (struct tcp_info -> tcpi_min_rtt and tcpi_rtt). I am using Fastly for the Demo since they have PoPs all around the world and they expose TCP socket data to me. The score is calculated by doing tcpi_min_rtt/tcpi_rtt. It's simple but it's what worked best for this with the data Fastly gives me. Based on my testing, 1-0.7 is normal, 0.7-0.3 is normal if the connection is somewhat unstable (WiFi, mobile data, satellite...), 0.3-0.1 is low and may be a proxy, anything lower than 0.1 is flagged as TCP proxy by the current code. https://ift.tt/XDC2sZq December 26, 2025 at 02:04AM
Show HN: Neko.js, a recreation of the first virtual pet Hi HN, Here is a late Christmas present: I rebuilt Neko [1], the classic desktop cat that chases your mouse, as a tiny, dependency-free JavaScript library that runs directly on web pages. Live demo: https://louisabraham.github.io/nekojs/ GitHub: https://ift.tt/W4j5YXx Drop-in usage is a single script tag:
This is a fairly faithful recreation of Neko98: same state machine, same behaviors, same original 32×32 pixel sprites. It follows your cursor, falls asleep when idle, claws walls, and you can click it to cycle behavior modes. What made this project interesting to me is how I built it. I started by feeding the original C++ source (from the Wayback Machine) to Claude and let it "vibe code" a first JS implementation. That worked surprisingly well as a starting point, but getting it truly accurate required a lot of manual fixes: rewriting movement logic, fixing animation timing, handling edge cases the AI missed, etc. My takeaway: coding agents are very useful at resurrecting old codebases, and this is probably the best non-soulless use of AI for coding. It gets you 60–70% of the way there very fast, especially for legacy code that would otherwise rot unread. The last 30% still needs a human who cares about details. The final result is ~38KB uncompressed (~14KB brotli), zero dependencies, and can be dropped into a page with a single
Show HN: A solar system simulation in the browser I didn't realize Universe Sandbox ran on MacOS, and I was in the mood to play around a bit. Some functions it's got: - Random system generation - Sonification is super fun too - Habitability Simulation (Just for fun, don't cite this please) - Replacing, spawning, deleting objects I've had tons of fun building this, so I hope someone else can share the joy. It's free and runs in the browser. I'd love to hear any feedback. I think this is at a state where I might leave it as it is, but if people are interested in other features, maybe I'll keep working on it. I've kept saying I'll stop working on this for a while now though. https://ift.tt/H2f8dVr December 29, 2025 at 11:04PM
Show HN: AgentFuse – A local circuit breaker to prevent $500 OpenAI bills Hey HN, I’ve been building agents recently, and I hit a problem: I fell asleep while a script was running, and my agent got stuck in a loop. I woke up to a drained OpenAI credit balance. I looked for a tool to prevent this, but most solutions were heavy enterprise proxies or cloud dashboards. I just wanted a simple "fuse" that runs on my laptop and stops the bleeding before it hits the API. So I built AgentFuse. It is a lightweight, local library that acts as a circuit breaker for LLM calls. Drop-in Shim: It wraps the openai client (and supports LangChain) so you don't have to rewrite your agent logic. Local State: It uses SQLite in WAL mode to track spend across multiple concurrent agents/terminal tabs. Hard Limits: It enforces a daily budget (e.g., stops execution at $5.00). It’s open source and available on PyPI (pip install agent-fuse). I’d love feedback on the implementation, specifically the SQLite concurrency logic! I tried to make it as robust as possible without needing a separate server process. https://ift.tt/PSUaL5m December 28, 2025 at 12:46AM
Show HN: Buoy – A persistent, status-bar web server for local utilities I’m constantly building small web-based tools for my own use. Usually, my workflow ends with a dilemma: do I keep a terminal tab open forever running `npx http-server -p 8080`, or do I spend time configuring a Caddyfile for a 50-line HTML tool? Nothing felt right. I wanted something that felt like a native, always-on, utility that was easily accessible but invisible. I built Buoy. It’s a minimal server that: Lives in the status bar: I can see that it's running at a glance without hunting through ps aux. Is persistent by default: It starts with macOS and keeps my utilities alive in the background. Zero-config: It points at a XDG‑Standard www folder so I can create a symlink and be done. Small: I wanted to avoid the modern bloat. Buoy is a single, self-contained binary that's under 10MB. It’s a minimal tool that lets me build many small things and move on to the next. https://ift.tt/syPi9Eh December 25, 2025 at 09:51PM
Show HN: nunchux – A handy tmux launcher buddy thing Had some fun over the christmas holidays and nunchux is the output. A fun menu for tmux to reduce the number of apps I need to remember the name for. Also a nice quick way to browse hacker news via hackernews_tui :-) https://ift.tt/qM6Wc0t December 25, 2025 at 10:48PM
Show HN: "What Should I Build?" A directory of what people want Successful entrepreneurs always say that the most profitable tools are the ones that help you solve the issues you’re facing. The problem is, I apparently have no issues. So instead, I built a PoC of a minimalistic ideas directory focused on issues others are facing. Feedback is welcome https://ift.tt/Q0zcAmw December 23, 2025 at 10:27PM
Show HN: Openinary – Self-hosted image processing like Cloudinary Hi HN! I built Openinary because Cloudinary and Uploadcare lock your images and charge per request. Openinary lets you self-host a full image pipeline: transform, optimize, and cache images on your infra; S3, Cloudflare R2, or any S3-compatible storage. It’s the only self-hosted Cloudinary-like tool handling both transformations and delivery with a simple URL API (/t/w_800,h_800,f_avif/sample.jpg). Built with Node.js, Docker-ready. GitHub: https://ift.tt/EmG3dBo Feedback welcome; especially from Cloudinary users wanting the same UX but on their own infra! https://ift.tt/EmG3dBo December 23, 2025 at 09:31PM
Show HN: CleanCloud – Read-only cloud hygiene checks for AWS and Azure Hi HN, I’m a solo founder and SRE background engineer. I built CleanCloud to solve a problem I kept seeing on teams I worked with: cloud accounts slowly filling up with orphaned, unowned, or inactive resources created by elastic systems and IaC — but nobody wants tools that auto-delete things. CleanCloud is a small, open-source CLI that: - Scans AWS and Azure accounts in read-only mode - Identifies potential “hygiene” issues (unattached EBS volumes, old snapshots, inactive CloudWatch logs, untagged storage, unused Azure public IPs, etc.) - Uses conservative signals and confidence levels (HIGH / MEDIUM / LOW) - Never deletes or modifies resources - Is designed for review-only workflows (SRE-friendly, IaC-aware) What it intentionally does NOT do: - No auto-remediation - No cost optimization / FinOps dashboards - No agents, no SaaS, no ML - No recommendations based on a single risky signal This is early-stage and I’m explicitly looking for feedback from SREs / DevOps folks: - Are these the right problems to focus on? - Are the signals conservative enough to be trusted? - What rules would you actually want next? Repo (MIT licensed): https://ift.tt/SZJoyuH If this looks useful, a helps a lot. Brutally honest feedback welcome. Many Thanks Suresh December 22, 2025 at 11:15PM
Show HN: Explore ArXiv/HN/LessWrong with SQL and Vector Algebra I hardened up a Postgres database enough to give the public access to run arbitrary queries over an interesting and growing dataset. There's over 23M embeddings (2048*32 bit Voyage-3.5-Lite over ~300 token chunks, 20% overlapped), 600 GB of indexes for performance, a prompt for letting Claude Code w/ Opus 4.5 drive usage, and there's full support for vector algebra. One can actually embed arbitrary concepts like "FTX" and "guilt" vectors and store these embeddings on the server, and refer to them in queries like @FTX + @guilt. Because you and your agent can write and run 100k character SELECT statements for up to 60s, you can really answer some incredibly nuanced questions very easily now. I'm doing a startup building subjective judgement infrastructure, HMU if interested in angel investment. https://ift.tt/f5hV7i1 December 22, 2025 at 11:06PM
Show HN: Meds — High-performance firewall powered by NFQUEUE and Go Hi HN, I'm the author of Meds ( https://ift.tt/gdM37Qe ). Meds is a user-space firewall for Linux that uses NFQUEUE to inspect and filter traffic. In the latest v0.7.0 release, I’ve added ASN-based filtering using the Spamhaus DROP list (with IP-to-ASN mapping via IPLocate.io). Key highlights: Zero-lock core, ASN Filtering, Optimized Rate Limiting, TLS Inspection, Built-in Prometheus metrics and Swagger API. Any feedback is very welcome! https://ift.tt/gdM37Qe December 22, 2025 at 10:58PM
Show HN: Real-time SF 911 dispatch feed (open source) I built an open-source alternative to Citizen App's paid 911 feed for San Francisco. It streams live dispatch data from SF's official open data portal, uses an LLM to translate police codes into readable summaries, and auto-redacts sensitive locations (shelters, hospitals, etc.). Built it at a hack night after getting annoyed that Citizen is the only real-time option and they paywall it. Repo: https://ift.tt/JogGOzF Discord: https://ift.tt/fsbP7iR Happy to discuss the technical approach or take feedback. https://ift.tt/P0yEUAQ December 22, 2025 at 06:29AM
Show HN: I built a 1‑dollar feedback tool as a Sunday side project I’ve always found it funny how simple feedback widgets end up as $20–$30/month products. The tech is dead simple, infra is cheap, and most of us here could rebuild one in a weekend. So as a “principle experiment” I built my own today as a side project and priced it at 1 dollar. Just because if something is cheap to run and easy to replicate, it should be priced accordingly, and it’s also fun marketing. 1$ feedback tool. Shipped today, got the first users/moneys today, writing this post today. Side Sunday project, then back to the main product tomorrow. https://ift.tt/7x2o9Rh December 22, 2025 at 03:22AM
Show HN: HN Wrapped 2025 - an LLM reviews your year on HN I was looking for some fun project to play around with the latest Gemini models and ended up building this :) Enter your username and get: - Generated roasts and stats based on your HN activity 2025 - Your personalized HN front page from 2035 (inspired by a recent Show HN [0]) - An xkcd-style comic of your HN persona It uses the latest gemini-3-flash and gemini-3-pro-image (nano banana pro) models, which deliver pretty impressive and funny results. A few examples: - dang: https://ift.tt/rcJhCF8 - myself: https://ift.tt/iUrPlVK Give it a try and share yours :) Happy holidays! [0] https://ift.tt/L5aWkeB https://ift.tt/AVvaTeu December 20, 2025 at 07:09PM
Show HN: Automatic Riff Track Creator I'm a big fan of listening to humorous commentary tracks along with my favorite movies. Currently the only way to do this is to start one program with the commentary audio file, and another program with the video file, and use audio cues from both tracks to line them up using the seek bars of each interface while you're watching. It's... an experience. Especially frustrating if you need to pause for a second... This tool allows you to create a new audio track in the video file containing the commentary track merged with an existing audio track from the video. It also allows you to adjust the offset of the commentary track, so you can line it up with the audio in the movie at arbitrary points in case they are not already in sync. The script tries to do this automatically using subtitles and audio analysis, followed by an optional 'fine-tuning' step if you really want it dialed in to the millisecond. I hope this is useful to anyone else who wants to enjoy these "riff tracks" more easily :) https://ift.tt/DAPS7kN December 20, 2025 at 09:42PM
Show HN: MCPShark Viewer (VS Code/Cursor extension)- view MCP traffic in-editor A few days ago I posted MCPShark (a traffic inspector for the Model Context Protocol). I just shipped a VS Code / Cursor extension that lets you view MCP traffic directly in the editor, so you’re not jumping between terminals, logs, and "I think this is what got sent". VS Code Marketplace: https://marketplace.visualstudio.com/items?itemName=MCPShark... Main repo: https://ift.tt/6gHjylf Feature requests / issues: https://ift.tt/NGW40A8 Site: https://mcpshark.sh/ If you’re building MCP agents/tools: what would make MCP debugging actually easy—timeline view, session grouping, diffing tool args, exporting traces, something else? I’d be thankful if you could open a feature request here: https://ift.tt/NGW40A8 December 17, 2025 at 11:49PM
Show HN: Linggen – A local-first memory layer for your AI (Cursor, Zed, Claude) Hi HN, Working with multiple projects, I got tired of re-explaining our complex multi-node system to LLMs. Documentation helped, but plain text is hard to search without indexing and doesn't work across projects. I built Linggen to solve this. My Workflow: I use the Linggen VS Code extension to "init my day." It calls the Linggen MCP to load memory instantly. Linggen indexes all my docs like it’s remembering them—it is awesome. One click loads the full architectural context, removing the "cold start" problem. The Tech: Local-First: Rust + LanceDB. Code and embeddings stay on your machine. No accounts required. Team Memory: Index knowledge so teammates' LLMs get context automatically. Visual Map: See file dependencies and refactor "blast radius." MCP-Native: Supports Cursor, Zed, and Claude Desktop. Linggen saves me hours. I’d love to hear how you manage complex system context! Repo: https://ift.tt/NM6ogdw Website: https://linggen.dev https://ift.tt/NM6ogdw December 19, 2025 at 11:24PM
Show HN: Credible brings credibility scores directly on Hacker News Hi HN, This is Aki, a technical founder having previously shipped products to 1B+ people (I launched the heart button on twitter). I built Credible because I wanted a way to know whether something I'm about to read would be worth my time. I also got tired of context-switching to verify what I read. Credible is a Chrome extension that displays instant credibility scores directly into the pages you browse, including HN itself. ** How it works ** On HN Home: You see a credibility score next to each link. On HN Comments page: You see the full analysis of the linked article. This includes the linked article's key takeaways, credibility score, bias detection, and a breakdown of claims (facts vs opinions vs dubious) without leaving the page. They also show on our mobile-friendly feed here: https://ift.tt/xloHdyj Chrome Web Store: https://ift.tt/H0mGrJ6 We will have a major focus next year on shipping tools that utilize AI to make consumption a breeze. As we design that, would love to know: Is this scoring & UX useful for you? What would make it even better? https://ift.tt/sTcdCbf December 19, 2025 at 10:35PM
Show HN: TinyPDF – 3KB PDF library (70x smaller than jsPDF) I needed to generate invoices in a Node.js app. jsPDF is 229KB. I only needed text, rectangles, lines, and JPEG images. So I wrote tinypdf: <400 lines of TypeScript, zero dependencies, 3.3KB minified+gzipped. What it does: - Text (Helvetica, colors, alignment) - Rectangles and lines - JPEG images - Multiple pages, custom sizes What it doesn't do: - Custom fonts, PNG/SVG, forms, encryption, HTML-to-PDF That's it. The 95% use case for invoices, receipts, reports, tickets, and labels. GitHub: https://github.com/Lulzx/tinypdf npm: npm install tinypdf https://github.com/Lulzx/tinypdf December 19, 2025 at 12:29AM
Show HN: A Full-Control Cloud That Puts You in Charge of Your Deployments a full-control cloud platform to help deploy, manage, and ship projects faster. No lock-in, no unnecessary complexity—just full control over your deployments and workflows. https://hubfly.space/blog/demo-launch December 17, 2025 at 11:50PM
Show HN: Planes.fyi – 3D aircraft and airport visualizations Hey HN! A long time ago I built a map of trains at trains.fyi, and then realized nobody had bought planes.fyi - so this is my new map project. It's a bunch of things, but mostly, a 3D map of aircraft around given airports, as well as the weather, ATIS, and other data sources visualized in 3D and unique ways. Like most of the stuff I build, it's got no real use, but I think it's neat. If you like planes, check out the CYYZ/KJFK map, weather, and runway tabs - I put the most work into that. Also any feature requests, questions, comments, etc are always appreciated! https://planes.fyi December 17, 2025 at 11:44PM
Show HN: The feature gap "Chat with PDF" tuts and a regulated enterprise system I've spent the last few months architecting a RAG system for a regulated environment. I am not a developer by trade, but I approached this with a strict "systems engineering" and audit mindset. While most tutorials stop at "LangChain + VectorDB", I found that making this legally defensible and operationally stable required about 40+ additional components. We moved from a simple ingestion script to a "Multi-Lane Consensus Engine" (inspired by Six Sigma) because standard OCR/extraction was too hallucination-prone for our use case. We had to build extensive auditing, RBAC down to the document level, and a hybrid Graph+Vector retrieval to get acceptable accuracy The current architecture includes: Ingestion: 4 parallel extraction lanes (Vision, Layout, Text, Legal) with a Consensus Engine ("Solomon") that only indexes data confirmed by multiple sources Retrieval: Hybrid Neo4j (Graph) + ChromaDB (Vector) with Reciprocal Rank Fusion Performance: Semantic Caching (Redis) specifically for similar-meaning queries (40x speedup) Security: Full RBAC, Audit Logging of every prompt/retrieval, and PII masking. I documented the complete feature list and gap analysis https://gist.github.com/2dogsandanerd/2a3d54085b2daaccbb1125... My question to the community: Looking at this list – where is the line between "robust production engineering" and "over-engineering"? For those working in Fintech/Medtech RAG: what critical failure modes am I still missing in this list? https://gist.github.com/2dogsandanerd/2a3d54085b2daaccbb1125601945ceeb December 17, 2025 at 11:20PM
Show HN: Solving the ~95% legislative coverage gap using LLM's Hi HN, I'm Jacek, the solo founder behind this project (Lustra). The Problem: 95% of legislation goes unnoticed because raw legal texts are unreadable. Media coverage is optimized for outrage, not insight. The Solution. I built a digital public infrastructure that: 1. Ingests & Sterilizes: Parses raw bills (PDF/XML) from US & PL APIs. Uses LLMs (Vertex AI, temp=0, strict JSON) to strip political spin. 2. Civic Algorithm: The main feed isn't sorted by an editorial board. It's sorted by user votes ("Shadow Parliament"). What the community cares about rises to the top. 3. Civic Projects: An incubator for citizen legislation. Users submit drafts (like our Human Preservation Act ), which are vetted by AI scoring and displayed with visual parity alongside government bills. Tech Stack: Frontend: Flutter (Web & Mobile Monorepo), Backend: Firebase + Google Cloud Run, AI: Vertex AI (Gemini 2.5 Flash), License: PolyForm Noncommercial (Source Available). I am looking for contributors. I have the US and Poland live. EU, UK, FR, DE in pipeline, partially available. I need help building Data Adapters for other parliaments (the core logic is country-agnostic). If you want to help audit the code or add a country, check the repo. The goal is to complete the database as much as possible with current funding. Live App: https://lustra.news Repo: https://ift.tt/t0jG7Md Dev Log: https://ift.tt/ExizDYL https://lustra.news/ December 16, 2025 at 08:09PM
Show HN: Zenflow – orchestrate coding agents without "you're right" loops Hi HN, I’m Andrew, Founder of Zencoder. While building our IDE extensions and cloud agents, we ran into the same issue many of you likely face when using coding agents in complex repos: agents getting stuck in loops, apologizing, and wasting time. We tried to manage this with scripts, but juggling terminal windows and copy-paste prompting was painful. So we built Zenflow, a free desktop tool to orchestrate AI coding workflows. It handles the things we were missing in standard chat interfaces: Cross-Model Verification: You can have Codex review Claude’s code, or run them in parallel to see which model handles the specific context better. Parallel Execution: Run five different approaches on a backlog item simultaneously—mix "Human-in-the-Loop" for hard problems with "YOLO" runs for simple tasks. Dynamic Workflows: Configured via simple .md files. Agents can actually "rewire" the next steps of the workflow dynamically based on the problem at hand. Project list/kanban views across all workload What we learned building this To tune Zenflow, we ran 100+ experiments across public benchmarks (SWE-Bench-*, T-Bench) and private datasets. Two major takeaways that might interest this community: Benchmark Saturation: Models are becoming progressively overtrained on all versions of SWE-Bench (even Pro). We found public results are diverging significantly from performance on private datasets. If you are building workflows, you can't rely on public benches. The "Goldilocks" Workflow: In autonomous mode, heavy multi-step processes often multiply errors rather than fix them. Massive, complex prompt templates look good on paper but fail in practice. The most reliable setups landed in a narrow “Goldilocks” zone of just enough structure without over-orchestration. The app is free to use and supports Claude Code, Codex, Gemini, and Zencoder. We’ve been dogfooding this heavily, but I'd love to hear your thoughts on the default workflows and if they fit your mental model for agentic coding. Download: https://ift.tt/CoTvGtA YT flyby: https://www.youtube.com/watch?v=67Ai-klT-B8 https://ift.tt/CoTvGtA December 16, 2025 at 10:02PM
Show HN: Cordon – Reduce large log files to anomalous sections Cordon uses transformer embeddings and density scoring to identify what's semantically unique in log files, filtering out repetitive noise. The core insight: a critical error repeated 1000x is "normal" (semantically dense). A strange one-off event is anomalous (semantically isolated). Outputs XML-tagged blocks with anomaly scores. Designed to reduce large logs as a form of pre-processing for LLM analysis. Architecture: https://ift.tt/WrtwgxE... Benchmark: https://ift.tt/mOx7IUT... Trade-offs: intentionally ignores repetitive patterns, uses percentile-based thresholds (relative, not absolute). https://ift.tt/JqCtkFH December 16, 2025 at 02:06AM
Show HN: A lightweight SaaS to reduce early-stage app friction I recently shipped a small SaaS I built in roughly 24 hours, mostly during school breaks. This is my first project that I have taken from idea to deployment, onboarding, and real users. The product targets early-stage developers and focuses on reducing initial setup and preparation when building new apps. It abstracts away some of the repetitive early decisions and boilerplate that tend to slow down first-time builders, especially around project structure, configuration, and “what should exist on day one”. I have a small number of active users, but churn is relatively high, which suggests either: the problem is not painful enough the abstraction leaks too early the UX or onboarding fails to communicate value or the tool solves a problem that disappears after the first session I would really appreciate technical feedback on: whether the abstraction layer makes sense if the mental model aligns with how you bootstrap projects where the product feels opinionated vs restrictive what would make this something you would actually keep installed Thanks for reading. Direct, critical feedback is very welcome. https://simpl-labs.com/ December 16, 2025 at 12:21AM
Show HN: A Wordle-style game for SHA-256 hashes i built a small wordle-style game where the target is a daily sha-256 hash. it’s intentionally not cryptographically realistic; the goal is to make avalanche effects and the meaninglessness of near-matches intuitive. this was a quick front-end experiment; the code isn’t published yet. everything runs client-side; no tracking; no accounts. https://hashle.app December 15, 2025 at 11:38PM
Show HN: Open-source customizable AI voice dictation built on Pipecat Tambourine is an open source, fully customizable voice dictation system that lets you control STT/ASR, LLM formatting, and prompts for inserting clean text into any app. I have been building this on the side for a few weeks. What motivated it was wanting a customizable version of Wispr Flow where I could fully control the models, formatting, and behavior of the system, rather than relying on a black box. Tambourine is built directly on top of Pipecat and relies on its modular voice agent framework. The back end is a local Python server that uses Pipecat to stitch together STT and LLM models into a single pipeline. This modularity is what makes it easy to swap providers, experiment with different setups, and maintain fine-grained control over the voice AI. I shared an early version with friends and recently presented it at my local Claude Code meetup. The response was overwhelmingly positive, and I was encouraged to share it more widely. The desktop app is built with Tauri. The front end is written in TypeScript, while the Tauri layer uses Rust to handle low level system integration. This enables the registration of global hotkeys, management of audio devices, and reliable text input at the cursor on both Windows and macOS. At a high level, Tambourine gives you a universal voice interface across your OS. You press a global hotkey, speak, and formatted text is typed directly at your cursor. It works across emails, documents, chat apps, code editors, and terminals. Under the hood, audio is streamed from the TypeScript front end to the Python server via WebRTC. The server runs real-time transcription with a configurable STT provider, then passes the transcript through an LLM that removes filler words, adds punctuation, and applies custom formatting rules and a personal dictionary. STT and LLM providers, as well as prompts, can be switched without restarting the app. The project is still under active development. I am working through edge cases and refining the UX, and there will likely be breaking changes, but most core functionality already works well and has become part of my daily workflow. I would really appreciate feedback, especially from anyone interested in the future of voice as an interface. https://ift.tt/hgqIwUo December 14, 2025 at 09:51PM
Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe The biggest problem with Tic-Tac-Toe is that it almost always ends in a draw. Tic Tac Flip tries to fix that! Learn the rules in Learning Mode or below: - Winning Criteria: 3 Ghosts (Flipped O or X, which can be a mixture). It's not just 3 Os or 3 Xs anymore! - Flipping Mechanic: When one or more lines having only O and X are formed, the minority of either all Os or all Xs get flipped to a Ghost, and the majority gets removed from the board. E.g., A line of 2 Os and 1 X leads to 1 X ghost and the removal of 2 Os. - Active Flip: You can actively flip your O/X to a Ghost (or flip a ghost back) once per game. - Placing Ghost Directly: You can place a "Ghost" piece directly as a final winning move (only once, and only when there are two existing ghosts in a line). I'm looking for feedback on the game balance and learning curve. Specifically: - Is the "Ghost" and "Flip" mechanic intuitive? - Is the Learning Mode helpful? - Is the game fair? Any rule adjustments needed? - Any bugs or issues? Any suggestions or comments would be much appreciated. Thank you in advance! https://tic-tac-flip.web.app/ December 14, 2025 at 11:19AM
Show HN: I built a GitHub application that generates documentation automatically Hi HN, A lot of the dev teams I have worked with had a lot of issues with their documentation. In fact, some of my easiest clients to get were from clients that had "black box" solutions that devs no longer at the company had created. Personally, writing documentation is like grinding nails on a chalkboard. I have been having a lot of fun with building solutions that can run in a distributed way, not something a dev needs to run themselves. And after a significant amount of testing and building out several different solutions, I finally have a solution that is easy to set up and runs in the background continuously to automate the documentation process. I'm looking for feedback on a few things: - Ease of onboarding, it should be a simple click -> select repos you want to add. - Quality of documentation, our current free accounts have a standard model compared to premium but the concepts are the same. - Dynamic environments: I tried to make this compatible with any random repo thrown at it. Let me know your thoughts https://codesummary.io December 13, 2025 at 02:57AM
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/81WPYTC December 13, 2025 at 01:46AM
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/VvdLiU5 Openfront platforms: https://ift.tt/C0Vng1S Source code: https://ift.tt/PC68rOl Demo - Openfront: https://youtu.be/jz0ZZmtBHgo Demo - Marketplace: https://youtu.be/LM6hRjZIDcs Part 1 - https://ift.tt/hJw7ZlY https://openship.org December 12, 2025 at 11:49PM
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/sYK1mLq December 11, 2025 at 07:31PM
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/A5KM2EL . 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/0xuJ49U [2] https://ift.tt/9usnB6j https://ift.tt/n24DYEu December 11, 2025 at 10:50PM
Show HN: Open-source UI components for apps that run inside ChatGPT 800M people use ChatGPT and Claude weekly. Right now they get text responses. Soon they'll get real interfaces: product cards, blog posts, booking flows, payment screens rendered directly in the conversation. We built an open-source component library for this. Install any block with one command and customize it to your brand. If you're building MCP servers or experimenting with AI-native apps, this might save you time. Are you building apps for AI assistants? Would love to hear what's missing in your workflow. https://ift.tt/2UByO3M December 11, 2025 at 11:23PM
Show HN: MCPShark – Traffic Inspector for Model Context Protocol https://ift.tt/g6AtKDf Site: https://mcpshark.sh/ I built MCPShark, a traffic inspector for the Model Context Protocol (MCP). It sits between your editor/LLM client and MCP servers so you can: • See all MCP traffic (requests, responses, tools, resources) in one place • Debug sessions when tools don’t behave as expected • Optionally run “Smart Scan” checks to flag risky tools / configs December 10, 2025 at 10:57PM
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/ZBCGwpu... 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/i5uLSw0 (Also available for consulting if you need this deployed in your infrastructure: https://lgcylabs.vercel.app/ ) https://ift.tt/i5uLSw0 December 9, 2025 at 10:25PM
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 : 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/3KryDts ) WealthYogi on the Android ( https://ift.tt/sc83DHX... ) 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/HMvi64w December 8, 2025 at 05:43AM
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/4OXqPWs — 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/Mr1Tu0H December 8, 2025 at 02:49AM
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/sT7NK6F Happy to hear feedback or suggestions. https://ift.tt/sT7NK6F December 7, 2025 at 06:23PM
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/KSDaMim December 7, 2025 at 01:53AM
Show HN: Stateless compliance engine for banking and blockchain I’ve been working on a stateless compliance engine that validates IBAN/SWIFT, OFAC lists, ISO20022 (pain.001/pacs.008), and multi-chain data (ETH, BTC, XRPL, Polygon, Stellar, Hedera). Statelessness feels important in financial and blockchain workflows because no user data persists between requests, outputs are fully deterministic, and auditors can reproduce results without relying on stored state. Current progress: • Deterministic validators live and callable • On-chain checks working across 6 networks • ISO20022 structuring + downloadable PDFs • AWS backend deployed; Azure environment being added for multi-cloud isolation Looking for technical critiques or alternative patterns for building stateless compliance systems. https://ift.tt/FCYQUhN December 7, 2025 at 12:10AM
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/iP8DGbe... https://ift.tt/zIEgFOf December 6, 2025 at 02:13AM
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/upeY24v https://ift.tt/ohSVEYj December 3, 2025 at 09:50AM
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/yPlg1I8... https://ift.tt/0qKfyNp December 5, 2025 at 02:12AM
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/Y7SeThW https://sinelaw.github.io/fresh/ December 3, 2025 at 08:15PM
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/B7gadRF December 3, 2025 at 01:47AM
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/aReYgjW December 2, 2025 at 11:14PM
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 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/apgwyAL 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/apgwyAL December 1, 2025 at 11:50PM
Show HN: I Built Tinyfocus – A Minimal Tool to Help Solo Founders Focus Hi HN, I just launched Tinyfocus, a small productivity tool designed specifically for solo founders and builders. The goal is simple: help you focus on what matters and get more done in less time. Here’s what Tinyfocus does: Lets you track your top tasks and prioritize efficiently. Provides micro dashboards to keep your daily focus in check. Lightweight, no distractions, no fluff. I built it entirely by myself, iterating in public, and I wanted to share it with the community to get feedback. It’s been crazy seeing how a simple tool can make such a difference in daily focus, especially when you’re juggling multiple projects as a solo founder. Check it out here: tinyfoc.us I’d love to hear your thoughts – any feedback, feature ideas, or bugs you notice. Thanks! https://ift.tt/hbWcPR1 November 30, 2025 at 11:35PM
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