Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe https://bit.ly/4qbWm5N

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://bit.ly/4qbWmCP December 14, 2025 at 06:49AM

Show HN: Soup.lua: making Lua do what it shouldn't https://bit.ly/44vaD58

Show HN: Soup.lua: making Lua do what it shouldn't https://bit.ly/3KJMh0O December 13, 2025 at 08:03PM

Show HN: EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM) https://bit.ly/48YXwdY

Show HN: EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM) Hi HN, I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search. Performance: - Sub-millisecond search at 100k vectors (768 dimensions, k=10) - 148 KB gzipped bundle - 3.6x memory reduction with scalar quantization Use cases: browser extensions with semantic search, local-first apps, privacy-preserving RAG. Technical: Written in Rust, compiled to WASM. Uses AVX2 SIMD on native, simd128 on WASM. IndexedDB for browser persistence. npm: https://bit.ly/4ptTr8q GitHub: https://bit.ly/49efj0T This is an alpha release. Main limitations: build time not optimized, no delete operations yet. Would love feedback from the community! https://bit.ly/49efj0T December 12, 2025 at 11:39PM

Show HN: I made a spreadsheet where formulas also update backwards https://bit.ly/3XRHcGM

Show HN: I made a spreadsheet where formulas also update backwards Hello HN! I'm happy to release this project today. It's a bidirectional calculator (hence the name bidicalc). I've been obsessed with the idea of making a spreadsheet where you can update both inputs and outputs, instead of regular spreadsheets where you can only update inputs. Please let me know what you think! Especially if you find bugs or good example use cases. https://bit.ly/4pBCysH December 11, 2025 at 07:00PM

Show HN: Forecaster Arena – Testing LLMs on real events with prediction markets https://bit.ly/44odMne

Show HN: Forecaster Arena – Testing LLMs on real events with prediction markets Hey HN! I'm Mert. I built this because I was frustrated with LLM benchmarks potentially being contaminated by training data. When a model scores 99.9% on MMLU-Pro-Max, we can't tell if that's genuine reasoning or memorization. Forecaster Arena tries to solve this by testing models on events that haven't happened yet—real prediction markets from Polymarket. The ground truth is reality itself, weeks or months later. How it works: 7 frontier LLMs (GPT-5.1, Claude Opus 4.5, Gemini, Grok, DeepSeek, etc.) (will be updated) -> Each gets $10k virtual capital weekly -> They bet on 500+ real prediction markets -> Bet size = confidence (larger bet = more confident) -> We measure calibration (Brier score) + returns (P/L) Currently running first cohort (started Dec 7). First statistically significant analysis expected over the next few weeks. Everything is open source (MIT): https://bit.ly/4pFmExs Happy to answer questions about the implementation or trade-offs I made. Would be great to hear your feedback on the methodology as well! https://bit.ly/48zSdTg December 12, 2025 at 01:50AM

Show HN: A Real-Time 4D Fractal Explorer in the Browser Using WebGPU https://bit.ly/44mHuZI

Show HN: A Real-Time 4D Fractal Explorer in the Browser Using WebGPU Hi HN, I've always been interested in fractals, especially the Mandelbrot and Julia sets. A few years ago I created a 2d viewer of this inherently 4d space. But the other day I decided to ask Claude and GPT how to make this a full RT 3d explorer. A few hours later and this was vibe coded. To use it you can use the mouse to rotate the fractal the the mouse wheel to zoom in and out. to map from 4d to 3d, one of the dims is mapped to an adjustable slider. the there is also a clipping plane slider to help visualize the internal structures of the fractal. I have mixed feelings about vibe coding. It was amazing to go from an idea to live implementation within a few hours, but in my coding projects, I've always appreciated the journey and the learning, not just the final product. Vibe coding kind of skips to the end which is exciting and efficient, but just not as fulfilling as struggling through a project step-by-step. https://bit.ly/3KYw6wB December 11, 2025 at 10:44PM

Show HN: Local Privacy Firewall-blocks PII and secrets before ChatGPT sees them https://bit.ly/48Mk2Xf

Show HN: Local Privacy Firewall-blocks PII and secrets before ChatGPT sees them OP here. I built this because I recently caught myself almost pasting a block of logs containing AWS keys into Claude. The Problem: I need the reasoning capabilities of cloud models (GPT/Claude/Gemini), but I can't trust myself not to accidentally leak PII or secrets. The Solution: A Chrome extension that acts as a local middleware. It intercepts the prompt and runs a local BERT model (via a Python FastAPI backend) to scrub names, emails, and keys before the request leaves the browser. A few notes up front (to set expectations clearly): Everything runs 100% locally. Regex detection happens in the extension itself. Advanced detection (NER) uses a small transformer model running on localhost via FastAPI. No data is ever sent to a server. You can verify this in the code + DevTools network panel. This is an early prototype. There will be rough edges. I’m looking for feedback on UX, detection quality, and whether the local-agent approach makes sense. Tech Stack: Manifest V3 Chrome Extension Python FastAPI (Localhost) HuggingFace dslim/bert-base-NER Roadmap / Request for Feedback: Right now, the Python backend adds some friction. I received feedback on Reddit yesterday suggesting I port the inference to transformer.js to run entirely in-browser via WASM. I decided to ship v1 with the Python backend for stability, but I'm actively looking into the ONNX/WASM route for v2 to remove the local server dependency. If anyone has experience running NER models via transformer.js in a Service Worker, I’d love to hear about the performance vs native Python. Repo is MIT licensed. Very open to ideas suggestions or alternative approaches. https://bit.ly/496bLP2 December 9, 2025 at 05:10PM

Show HN: 8B Parallel Coordinated Reasoning Model https://bit.ly/3KOblDH

Show HN: 8B Parallel Coordinated Reasoning Model https://bit.ly/4oM1hcc December 11, 2025 at 09:24AM

Show HN: Beelines - a travelling salesman game, but with bees https://bit.ly/4aDYbDJ

Show HN: Beelines - a travelling salesman game, but with bees https://bit.ly/44l59K9 December 10, 2025 at 02:07AM

Show HN: Briddle – Guess the AI's semantic path between two words https://bit.ly/3MsLTnV

Show HN: Briddle – Guess the AI's semantic path between two words https://bit.ly/3Yjhdbe December 10, 2025 at 12:42AM

Show HN: Gemini 3 imagines Hacker News as a HyperCard stack in 1994 https://bit.ly/4aFtIFq

Show HN: Gemini 3 imagines Hacker News as a HyperCard stack in 1994 https://bit.ly/3Mq28lD December 10, 2025 at 12:04AM

Show HN: Octopii, a runtime for writing distributed applications in Rust https://bit.ly/4pQEkWm

Show HN: Octopii, a runtime for writing distributed applications in Rust https://bit.ly/482NbwS December 9, 2025 at 01:46AM

Show HN: DataKit, your all in browser data studio is open source now https://bit.ly/4oTeIYg

Show HN: DataKit, your all in browser data studio is open source now Hey HN! I'm open-sourcing DataKit today. GitHub: https://bit.ly/3XKUx3t Live demo: https://bit.ly/3MvmV7e DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser. What it does: • Process large files (tested up to 20GB) without any server • Full SQL interface powered by DuckDB compiled to WebAssembly • Python notebooks via Pyodide for data science workflows • Connect to remote sources (PostgreSQL, MotherDuck, S3) with optional proxy • AI assistant that only sees column schemas, not actual data I was done with having to choose between cloud tools and heavy local installations. I wanted something that just works in a browser tab but has real power. It's AGPL licensed with commercial licenses available for enterprises. I've been building this solo as a side project for the past few months. Would love your feedback on: - Performance bottlenecks you encounter - Features you'd need for your workflows - The architecture decisions (all client-side vs hybrid) https://bit.ly/3XF2Iyn December 8, 2025 at 09:15PM

Show HN: I've asked Claude to improve codebase quality 200 times https://bit.ly/4pUwqv9

Show HN: I've asked Claude to improve codebase quality 200 times https://bit.ly/3KPxj9o December 8, 2025 at 10:33PM

Show HN: Crier – Push notifications via TCP or MQTT (no public IP needed) https://bit.ly/44go88C

Show HN: Crier – Push notifications via TCP or MQTT (no public IP needed) https://bit.ly/48GUxXa December 8, 2025 at 07:50AM

Show HN: I replaced my premium workout app with vibecode https://bit.ly/48APXty

Show HN: I replaced my premium workout app with vibecode I was going through my app subscriptions and realized I was paying $15 for a pretty good workout app, which seemed a bit high to me. As a software engineer who is also well versed in claude code, I realized that I could likely vibecode a very similar app, or even build something more to my liking. I challenged my self to build something roughly equivalent this afternoon. Workflow was: start with a detailed spec from Claude code describing many of the features common in workout apps. Then paste this into lovable to have it build out the initial mvp. Once that was built, I used claude code extensively to modify the app until it was usable, including adding an import from the costly premium app. While there are bugs, I think I might use this app. And it is insane that we are in a place where I can build this on my phone during an afternoon. In a few years, the economics of apps is going to be different, at least for folks willing to work a little bit. In theory this project will save me over $190 a year. https://bit.ly/4a30wrO December 8, 2025 at 01:55AM

Show HN : WealthYogi - Net worth Tracker https://bit.ly/48oFwdN

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://apple.co/3MoR6wT ) WealthYogi on the Android ( https://bit.ly/449m2ra... ) 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://apple.co/4pqarfZ December 8, 2025 at 01:13AM

Show HN: Geetanjali – RAG-powered ethical guidance from the Bhagavad Gita https://bit.ly/48WlHdZ

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://bit.ly/4pYgN6a Happy to discuss the RAG architecture or take feedback. https://bit.ly/4pSS1Ea December 7, 2025 at 06:18AM

Show HN: FuseCells – a handcrafted logic puzzle game with 2,500 levels https://bit.ly/3MKQIsD

Show HN: FuseCells – a handcrafted logic puzzle game with 2,500 levels Hi everyone, I built FuseCells, a minimalistic logic puzzle game where every level is handcrafted (no procedural generation). It started as a personal challenge to design a clean rule-set and scale it to thousands of puzzles without losing difficulty balance. What’s unique: • 2,500 handcrafted levels across multiple grid sizes • Deterministic logic — no guessing required • A rule system inspired by constraint-solving and path-finding concepts • Daily challenges and global progress tracking • Fully built as a solo dev project Technical notes for those curious: • Level generation tools I wrote validate solvability using a custom constraint solver • Difficulty is estimated via step-count of the solver • The game is optimized to run smoothly on low-end devices • Designed first for iOS, now fully adapted for iPad as well I’d love feedback from puzzle lovers, game designers, and anyone interested in handcrafted logic design. Here’s the App Store link: [inserați linkul] Thanks for reading — happy to answer any technical questions! https://apple.co/48WEXYL December 7, 2025 at 12:51AM

Show HN: Watsn.ai – Scarily accurate lie detector https://bit.ly/48Fs8ki

Show HN: Watsn.ai – Scarily accurate lie detector No signup required—just upload or record a video to verify its truthfulness. You can test it on anyone: internet clips, your significant other, or even yourself. I'm aware there are tons of scammy 'lie detector' apps out there, but I built this using SOTA multimodal models in hopes of creating a genuine breakthrough in the space. It analyzes micro-expressions, voice patterns, and context. In my own testing (over 50 trials), it reached about 85% accuracy, which honestly felt a bit scary. It’s also fun to test on famous YouTube clips (like Obama talking about UFOs). I’d love to hear what you think and will be improving Watsn.ai every day based on your feedback! https://bit.ly/3K4hlbm December 7, 2025 at 12:48AM