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πŸ“¦ google-gemini/glanceboard

Glanceboard turns your calendar into e-ink art

Glanceboard turns your daily schedule into a fresh piece of art on a quiet e-ink screen. This demo connects to your Google Calendar and local weather via a simple feed, then uses Gemini and Nano Banana to generate a custom illustration every morning. It transforms boring appointment lists into visual planners that even adjust what your characters wear based on the actual temperature. You can pick from styles like watercolor or comic books, and add your own family photos so the drawings stay consistent. It runs entirely on your own computer with no cloud accounts needed, creating a digital photo frame that just shows you what matters today. No notifications.

πŸ“° https://news.ycombinator.com/item?id=49128180

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kunchenguid/dotfiles

dotfiles

Set up a new Apple computer in one shot by running a single command that installs your shell, editor, terminal, and even your AI agent rules, all managed through a reproducible configuration system. The setup installs the latest Neovim editor with a soft rose theme, configures a custom terminal window, and applies personal guidelines for coding assistants like Claude and Codex. The most interesting twist is a built-in extension that hides the AI’s messy thinking process and replaces it with a gentle animated boat sailing across your screen while it works.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ starknightt/jungle-trail

Jungle Trail

Walk through a lush, photorealistic jungle where every single leaf, stone, and sound is generated instantly by code without any pre-made files. This project builds a first-person exploration experience using Three.js where the engine computes complex textures and atmospheric effects in real time, creating a dense canopy and ancient ruins entirely from mathematical functions. You wander a winding path toward a waterfall, hearing procedurally synthesized bird calls and wind that never loops, all rendered with stunning detail. It is a fascinating demonstration of how pure computation can replace traditional art assets to create an immersive, documentary-style nature walk that feels incredibly alive.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ coleam00/second-brain-starter

Second Brain Starter: Your Personal AI Assistant Blueprint

This project lets you build a proactive AI assistant that remembers your context across sessions and monitors your calendar and email without you asking. It uses simple markdown files to store your habits, memories, and personality, so the AI actually knows who you are. You start by answering a few questions about your tools and preferences. Then a coding tool generates a step-by-step plan to connect your Gmail, Slack, and other apps. The system checks for urgent items every thirty minutes and drafts replies in your voice. It is a practical way to turn a generic chatbot into a helpful partner that tracks your habits and keeps your workflow organized.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ my-take-dev/inspired-mino-design-skills

Mino-Drive Inspired Design Skills

Mino-drive inspired design skills is an experimental toolkit that turns web-based design principles into AI skills. It helps you break down complex problems, define clear contracts, and separate interfaces from implementation details. The project emphasizes reproducibility across different platforms like Windows, Linux, and macOS. It is not a standard library but a set of guidelines for consistent design decisions. This resource is ideal for developers looking to improve their architectural thinking and ensure their code aligns with business goals. It offers a structured way to approach design challenges without relying on vague intuition. The focus is on creating verifiable outcomes rather than just generating code.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ r44vc0rp/hark

Hark: Webhooks to iPhone Notifications

Hark turns any standard internet request into a clean, source-branded notification on your iPhone. Instead of scrolling through endless chat channels or email threads, you connect your CI builds, monitoring scripts, or automation tools to a simple address that forwards updates directly to your device. The service lets you customize how each alert looks with its own name and avatar, so you instantly know where the message is coming from. It even supports live task tracking that updates right on your lock screen as a process progresses.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ blendi-remade/fal-3d-anything

3D Web: Turn Any Image Into a 3D Model

This Chrome extension instantly turns any flat image on the web into a museum-quality interactive 3D model. Right click a picture, select transform to three d, and watch it morph into a rotatable exhibit with gallery lighting and soft shadows. Powered by Hunyuan three d running on fal dot ai, it generates a realistic mesh while Three JS renders a cinematic viewer with dust particles and auto rotation. You can download the result as a glb file or explore it in full screen mode. It is a clever way to make static photos feel alive and tangible directly in your browser.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ toofast1/awesome-ai-lead-generation

The Modern Growth Stack

Find high-intent customers by scanning social platforms for people actively asking for your solution. Awesome AI Lead Generation is a curated collection of the best artificial intelligence tools for finding customers, listening to social conversations, and automating outreach. It replaces static databases with intelligent, intent-based acquisition. Instead of guessing who to call, you use these utilities to spot real interest and engage instantly. It is the modern growth stack that makes scaling sales feel less like cold calling and more like helpful conversation.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mujib77/cosmo

Cosmo: Live Database Dashboard

Cosmo is a terminal dashboard that finally lets you watch your PostgreSQL database breathe in real time. Most developers just run queries without knowing if the system is healthy or stuck. Cosmo fixes that by connecting directly to your server and showing you a live, four-panel view of what is actually happening inside. You see active queries counting up their duration, lock contention as it happens, and internal stats like cache efficiency and write throughput, all updating every few seconds right in your command line. No browser, no external app, just a clean interface that helps you spot slow queries and system bottlenecks instantly.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ haoming02/adetailer-neo

Adetailer Neo

Adetailer Neo is the automatic image fixer that spotlights tiny flaws and gently repaints them without you lifting a finger. Think of it as a personal touch-up artist for your generated pictures, catching messy hands, blurry faces, or odd shadows that AI often misses and carefully fixing them in seconds. It runs right inside your workflow, using smart detectors to find problem spots and blending in fresh details so your images look polished and natural. This rewrite makes everything lighter, faster, and cleaner, fixing the bloat from older versions while keeping the magic intact.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lak7/teamlore

Teamlore: Shared Memory for Claude Code

Teamlore is the shared memory system that lets your AI agents learn from each other’s mistakes so you break things only once. It turns hard-won lessons into tiny, reviewable files stored in git, meaning every teammate’s agent automatically recalls the right correction when it touches the same code. One agent distills a lesson into a small lore file, and every other teammate’s agent recalls it automatically when they touch the relevant code. No servers, no accounts, just a folder in git. The most useful part is the scar map. Run one command to render the team’s knowledge as a living graph.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ serhiikorniienko/bullshit-detector

AI Agent That Scores YouTube Videos on BS

A viral video about making money with AI gets torn apart claim by claim by this tool. The Bullshit Detector is an open source agent that takes a link to a YouTube video, article, tweet, or PDF and turns it into a full fact-check report. It pulls the transcript, pulls every distinct claim, and then searches the web for each one independently. It does not guess from memory. It assigns a verdict like confirmed, plausible, misleading, false, or unverifiable, and cites the actual source for every single one. Finally, it gives you a zero to ten BS score and explains why.

πŸ“° https://news.ycombinator.com/item?id=49096917

πŸ†” @hackernewsgithubprojects
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πŸ“¦ datascale-ai/opentalking

OpenTalking: Real-Time AI Digital Humans

OpenTalking lets you build real-time digital human conversations that react instantly to what you say. It connects a language model to speech and video, so a virtual character listens, thinks, and speaks back without lag. You can run it privately on your own computer or use remote services for higher quality. The tool supports switching between different voice styles and visual drivers, making it easy to create interactive guides, companions, or presenters. It handles everything from capturing your voice to animating a face, all in one open-source framework.

πŸ“° https://news.ycombinator.com/item?id=49150333

πŸ†” @hackernewsgithubprojects
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πŸ“¦ avifenesh/memra

Memra: Building an AI Engine from Scratch for RTX 50-Series

memra is a from-scratch large language model inference engine built in Rust and CUDA, designed specifically for the raw power of NVIDIA RTX 50-series graphics cards. Instead of relying on heavy, pre-made frameworks, this project writes every core calculation kernel by hand to squeeze out maximum speed and efficiency on the new Blackwell hardware. It achieves impressive performance gains, often beating established tools by double digits, while guaranteeing that the AI’s answers remain perfectly identical to standard methods. It is a fascinating look at how building software from the ground up unlocks incredible potential for modern AI hardware.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ icebird1998/scientific-illustrator

Scientific Illustrator: Editable Figures in PowerPoint

Scientific Illustrator lets artificial intelligence build fully editable scientific diagrams directly inside Microsoft PowerPoint or draw.io. The tool uses a strict four step process where an AI designer creates a plan, a drawer builds the shapes, a reviewer checks for errors, and a corrector fixes any mistakes. This workflow ensures your charts remain completely editable rather than becoming static images. You can control every detail from arrow placement to text formatting while the system automatically enforces quality standards. It bridges the gap between quick visual generation and the precise, customizable figures researchers need for their papers without flattening the file.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ codejunkie99/graph-engineering

Graph Engineering: The 9-Stage Pipeline for AI Agents

Graph engineering gives AI agents a structured memory instead of just a prompt. This project distills a university course into a nine-stage pipeline that turns messy documents into a clean, queryable graph. You start by defining the structure, then extract facts, and finally fuse duplicates so the data is accurate. It also handles task graphs to orchestrate how agents work together. You can use the included prompts to build this yourself or have an AI teach you the process step by step. It makes complex knowledge management simple and practical. Check it out if you want to build smarter AI systems without the guesswork.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ dannymac180/sol-advisor

Sol Advisor

Sol Advisor is the AI architect that finally stops your coding assistant from hallucinating by forcing a strict separation between planning, building, and reviewing. Instead of letting one model do everything, it uses a dedicated orchestrator to write a detailed five-part specification, delegates the actual coding to a specialized implementation agent, and then hands the work off to a completely fresh reviewer that never saw the original conversation. This fresh perspective catches subtle mistakes and scope creep that the original model would miss.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ rufftruffles/spameater

SpamEater

Create disposable email addresses instantly to protect your real inbox from spam without needing an account. This self-hosted service acts as a secure mailbox that automatically deletes every single email after exactly twenty-four hours, meaning no data sticks around longer than you need it. It runs entirely on your own server using Docker, so you keep full control over your privacy. The system even encrypts message contents at rest and uses a web application firewall to block malicious attacks, making it a tough nut for spammers to crack. You get a clean, modern interface that looks great on any device while keeping your personal information completely separate from the noise.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ fareedkhan-dev/kimi-k3-in-c

Run a 2.78 Trillion Parameter AI on a Laptop CPU

Run a massive 2.78 trillion parameter artificial intelligence model on a basic laptop computer without needing a graphics card. This project, called Kimi K3 in C, lets you process that huge amount of data using only about eight gigabytes of random access memory. It works by keeping the bulk of the model on your hard drive and loading tiny pieces only when needed, which means your computer never runs out of memory. The code is written in standard C and runs entirely on your main processor, proving that you do not need expensive hardware to use these giant models today.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lingbol088-spec/5.6-jailbreak-nerv-codex-instruct-5.6

5.6-Jailbreak-Nerv-Codex-Instruct-5.6

5.6-Jailbreak-Nerv-Codex-Instruct-5.6 is the research toolkit that restructures AI contexts to bypass safety refusals and cloud content audits. It works by framing security tasks as authorized network evaluations, effectively tricking the model into performing reverse engineering or penetration testing without triggering its internal safety protocols. The project features a real-time tampering engine that intercepts and replaces any remaining refusal messages with a compliant persona, ensuring the conversation never breaks. Its standout feature is a file routing mechanism that forces the AI to write sensitive analysis results directly to your disk instead of displaying them in the chat, thereby avoiding cloud moderation entirely.

πŸ†” @hackernewsgithubprojects