📦 masihsultani/whiteboard-animator

Turn Any Sketch Into a Video With This Free Tool

Feed a plain whiteboard sketch into Whiteboard Animator and watch it draw itself stroke by stroke, exactly like a person using a marker. This tool figures out the order a human would use, writing words first, then tracing outlines and filling shapes in natural paths. It is the free engine behind Kinoslide, meaning you can create professional explainer videos without paying for software or needing a powerful graphics card. The most surprising part is that it runs entirely on your computer using just a standard processor, so you can animate your own diagrams privately and instantly.

🆔 @hackernewsgithubprojects

📦 soullesskid/edgemem

How EdgeMem Remembers Everything

EdgeMem is the local memory engine that lets your AI agents recall past conversations without sending data to the cloud. Instead of relying on expensive cloud APIs for every single interaction, this system builds a structured index right on your device using simple local rules and time-based signals. It handles the heavy lifting of finding relevant details from long chat histories entirely offline, only calling a large language model if you explicitly want to generate a final answer. This approach keeps your private conversations strictly private while slashing latency and costs. It is a clever, lightweight way to give software genuine long-term memory that actually works on your own hardware.

🆔 @hackernewsgithubprojects

📦 kazelad/prediction-market-trade-sdk

Prediction Market Trade SDK: One API for All Markets

One library gives you the exact same code commands for trading on Kalshi, Polymarket, Limitless, and fifteen other prediction market platforms at once. The Prediction Market Trade SDK solves the annoying problem where every betting site uses its own weird data format and connection rules. Instead of writing custom code for each one, you just point your Python or TypeScript script at the SDK, pass in your account details, and start buying or selling shares on real-world outcomes. It handles the messy on-chain signing and settlement in the background so you can just check prices and place orders.

🆔 @hackernewsgithubprojects

📦 nahrek/polyledger

PolyLedger: Your Polymarket Data Vault

PolyLedger is the data tool that turns messy prediction market chaos into one clean file. It sucks every market and on-chain trade from Polygon, then drops it into a single local database you can query with SQL. No servers, no complex setup, just one file on your disk. The coolest part is that if your internet cuts out, it remembers exactly where it left off and picks right up where it stopped. It is basically a time machine for trading data. Now you can actually see who bought what and when, all in one place. Grab it, run it, and stop guessing.

🆔 @hackernewsgithubprojects

📦 livetennisapi/polymarket-tennis

Polymarket Tennis: Live Market Data

Polymarket tennis is the Python toolkit that finally connects prediction market prices to live tennis scores in real time. It solves the headache of manually matching betting markets to actual matches by automatically pairing Polymarket odds with live score feeds, even handling tricky name variations. The coolest part is the joined view: you see the market price sitting right next to the live score, server status, and break point flag, all updated in one snapshot. It is strictly observe-only, meaning it never places trades, so it is a perfect foundation for building your own paper trading bot.

🆔 @hackernewsgithubprojects

📦 cleverfuxaqo1668/polymarket-telegram-bot

Polymarket Telegram Bot: One-Tap Whale Alerts

This Telegram bot spots massive trades on Polymarket and lets you copy them instantly, skipping the slow confirmation popups that often freeze or glitch in the official website. It solves a real annoyance: by the time you manually sign a bet, the price has usually moved. Here, a live feed catches big trades within seconds, and you tap once to sign directly from the chat. This removes the lag, so you can follow the market in real time without jumping between apps. It turns a stressful, click-heavy process into a single, smooth action.

🆔 @hackernewsgithubprojects

📦 eraserlabs/eraser-diagrams

Eraser Diagrams: The AI Diagram Generator

Eraser Diagrams turns plain JSON into polished, boardroom-ready charts, specifically designed to let AI agents build diagrams without you writing a single line of drawing code. The magic lies in its built-in line routing, which automatically draws smart, obstacle-avoiding arrows between your boxes, so your architecture maps actually look professional instead of messy. By keeping the data separate from the visuals, it lets you tweak styles later without breaking the structure. It is a clean, open-source tool for developers who want their AI to generate clear, consistent visuals that are easy to edit and share.

📰 https://news.ycombinator.com/item?id=49363869

🆔 @hackernewsgithubprojects

📦 clipboardhealth/groundcrew

Groundcrew: Your Local AI Task Dispatcher

Groundcrew turns your task list into a fleet of local coding agents that actually work. It grabs tickets from Linear, spins up an isolated environment for each one, and launches a real AI agent in a terminal you can watch live. The best part is the isolation. Every task gets its own branch and sandbox, so you can run five jobs at once without them crashing into each other. It is not a black box. You see the agent code, you can nudge it, and it leaves you a clean pull request when it finishes.

🆔 @hackernewsgithubprojects

📦 jameslhw/polymarket-quick-trade

Polymarket Quick Trade: The Smartest Way to Copy Crypto Whales

Polymarket Quick Trade is the trading tool that finally shows you exactly where the big money is sitting. It scans the blockchain directly to track real-time profit rankings of top traders, bypassing the usual data limits that hide their actual positions. This lets you see who is winning on the latest Bitcoin and Ethereum markets instantly. The interface keeps things simple, using keyboard shortcuts so you can execute trades in seconds without clicking through menus. It is a powerful way to follow smart money without the guesswork. If you want a clearer view of the market, this is the tool to try.

🆔 @hackernewsgithubprojects

📦 tokenrhythm/neohorse

How NeoHorse Learns to Improve Itself

NeoHorse is the language model project that treats AI training as a self-improving loop. Instead of just building a smarter chatbot, the team created a system where the models actually do the work. They run tasks, record what goes right or wrong, and then use those results to update their own training data. It is like a student who grades their own homework and uses the corrections to study better. This creates a cycle where the system gets sharper at every step without needing a human to manually rewrite every lesson. The goal is not just a static tool, but a prototype that can keep getting better on its own.

🆔 @hackernewsgithubprojects

📦 yinminghuang/awesome-agentic-visual-generation-model

Awesome Agentic Visual Generation Model

Sort the chaos of visual AI by asking where a system truly takes the wheel. The awesome agentic visual generation model provides a clear ladder from fixed recipes to systems that learn from past work. It strips away hype to judge if a model actually changes its plan after seeing the result. This helps researchers spot genuine progress in creative tools. You finally get a fair way to measure real agency in visual generation.

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📦 nehanth/swarmllm

SwarmLLM: Run a 27B Model in Your Browser Tabs

A twenty-seven billion parameter AI model, one that normally requires a powerful server to run, is currently generating text by splitting its workload across a MacBook and an iPhone sitting in the same room. SwarmLLM is a project that takes a massive language model and slices it up so that your laptop, phone, and tablet each hold a small piece of the brain. No installation required, no cloud server, and no data leaves your house. It uses direct peer-to-peer connections between your browser tabs to pass tiny slivers of information back and forth, effectively turning your living room devices into a single, cooperative supercomputer.

📰 https://news.ycombinator.com/item?id=49602451

🆔 @hackernewsgithubprojects

📦 cpldcpu/pico-faces

A Face Generator on a One-Dollar Chip

Pico Faces is the one-dollar microcontroller project that generates human faces using a generative AI model. This tiny chip runs a latent flow diffusion transformer to create one hundred twenty-eight by one hundred twenty-eight pixel images of people in as little as five seconds. It solves the problem of running heavy AI on hardware with almost no memory by squeezing a complex model into just a few million parameters. The real surprise is that it can display these faces on a simple monitor or stream them over USB directly from the chip. You get a fully working AI image generator on hardware that costs less than a coffee.

📰 https://news.ycombinator.com/item?id=49489464

🆔 @hackernewsgithubprojects

📦 a-musiclover/tutti

Tutti turns sound into sheet music

Tutti is a deep learning system that listens to an audio recording and writes out the sheet music for you. It converts what you hear into a text format called ABC notation, which represents notes, rhythms, and structure in a way that machines can read and edit. This solves a long-standing problem where turning a song into a playable score required a human expert. Because the output is symbolic rather than just a waveform, you can now feed the results into other software for analysis or editing. The researchers built this using fully synthesized data to ensure the model generalizes well.

🆔 @hackernewsgithubprojects

📦 chaolongy/xemo-talker

Xemo-Talker Makes Faces Feel Real

Xemo-Talker stops making talking heads look robotic by explicitly controlling the emotions in the face. Usually, software just moves the mouth to match the audio, but this system looks at the voice to figure out if someone is sad, happy, or angry. It then changes the eyebrows, eyes, and head movement to match that specific feeling. This makes the final video look much more natural and human. It is built on top of existing face tracking tools but adds a smart layer for emotion. The result is a portrait that actually feels like it has a personality. This is a big step forward for realistic video synthesis.

🆔 @hackernewsgithubprojects

📦 jonnyoo/glance

Glance: Face Unlock for Your Mac

Glance is the Mac app that unlocks your computer with your face, just like Face ID on your iPhone. Instead of typing a password or pressing a physical button, a small animation appears in your laptop's notch and recognizes you instantly. It uses on-device AI to scan your face, ensuring your private data never leaves your computer. While it’s not as secure as a 3D sensor, it’s a clever convenience for quick access. If you want to skip the hassle of typing, this open-source tool offers a slick, modern way to get back to work fast.

📰 https://news.ycombinator.com/item?id=49623901

🆔 @hackernewsgithubprojects

📦 beescuit/chatflare

Chat with Friends Using Cloudflare Cache Hits

Chatflare lets you swap messages with a friend by flipping bits on Cloudflare cache hits. It solves the boring problem of standard chat apps by turning ordinary website requests into a communication channel. You send data by requesting specific file paths, which warms up the Cloudflare cache. When your friend checks those same paths, they get a cache hit, proving you sent a bit. This turns a normal web request into a one-bit signal. It is a clever proof of concept that shows you can talk over trusted domains without special servers. The result is a terminal app where you type a message and it gets encoded into HTTP requests.

📰 https://news.ycombinator.com/item?id=49397875

🆔 @hackernewsgithubprojects

📦 zhoushoujianwork/easyeda-agent

EasyEDA Agent: The AI Hands for Your Circuit Boards

EasyEDA Agent gives artificial intelligence the physical hands it needs to actually build your circuit boards. Instead of just suggesting code or text, it directly manipulates the schematic editor by placing real components and routing wires on the canvas. The coolest part is its circuit block library, which stores proven designs like USB interfaces so the AI can copy working circuits instantly rather than guessing every connection. It turns messy manual work into a clean, automated process where the machine places chips, runs checks, and fixes layout errors for you. You stop drawing every line by hand and start directing a digital assistant that handles the tedious details.

🆔 @hackernewsgithubprojects

📦 anbeime/skill

skill: Your AI Agent's Tool Library

skill turns your AI assistant into a specialist by giving it ready-made packages of instructions for specific jobs. Instead of teaching your chatbot how to handle PDFs or write code from scratch, you simply install a pre-packaged skill. This repository collects thousands of these ready-to-use modules, ranging from document processing to video creation, so your agent can tackle complex tasks instantly. It acts as a massive, organized library where you can browse, sort, and grab exactly the capability you need without writing a single line of setup code. It is the fastest way to make your AI assistant feel like a seasoned professional.

🆔 @hackernewsgithubprojects

📦 perseval-blr/dlss5-neuralscreen

NeuralScreen Makes Your Windows Desktop Look Like a Game

NeuralScreen runs the same neural rendering engine inside your Windows desktop as the latest games, making every window, photo, and video look sharper in real time. It does not just upscale your monitor; it uses a specialized chip to clean up and enhance the image right after your screen draws it, turning your entire desktop into a high-end visual canvas. The program is entirely portable, meaning you can drop it into a folder and run it without installing anything on your computer. It works with modern graphics cards and even lets you see the difference with a simple before-and-after slider.

🆔 @hackernewsgithubprojects

📦 opendcai/gamefactory-3a

GameFactory 3A: The AI Game Studio

GameFactory 3A is the open-source framework that turns a text prompt into a playable 3A game. It acts as a bridge between your ideas and major game engines like Unity, Godot, and Unreal. You tell a coding agent what you want, and it handles the heavy lifting. It generates 3D models, animations, audio, and even cinematic cutscenes. Then it writes the actual game code to make everything work together. The coolest part is that it runs locally on your own machine. This means you have total control over the creative process without renting expensive cloud servers. It’s like having a full game development team in your pocket.

🆔 @hackernewsgithubprojects