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RepoContext — Read & Download Any GitHub Repo in Seconds

Every time I opened an unfamiliar GitHub repo, I wasted 20+ minutes — README outdated, 40+ files staring at me, no idea where the actual logic lives. And feeding that mess into Claude Code or Cursor meant dumping random files and hoping the context window survived. So I built RepoContext. Paste any GitHub URL (public or private via PAT) and get a structured onboarding brief in seconds: - Ranked top files: what to read first, surfaced by heuristics (not AI)- Repo health signals: open issues, PR pressure, activity status, dependency risks- Full file tree: browse up to 28k+ entries with inline previews (first 16KB, no download needed)- One-click Markdown export: structured context ready to paste into Claude Code, Cursor, ChatGPT, Gemini CLI, or OpenClaw- Bulk ZIP download: select only the files you need, skip cloning the whole repo- Private repo support: add your GitHub PAT and it just works No AI processing. No signups. No hallucinations. Fully deterministic output — what you see is what is actually in the repo. Built with Next.js 14, TypeScript, Tailwind v4, deployed on Vercel. Fully open source. Live tool: https://repocontext.ajaymathuriya.comGitHub: https://github.com/ajaycodesitbetter/RepoContext

AI PC Configurator

Digibuggy Configuration Lab (AI PC Builder) is an AI-powered web app that designs optimized custom PC builds based on a user’s budget, workload, and experience level. It supports three build modes: Beginner, Pro, and Advanced, so first-time builders get hand-held, plain‑English guidance while power users retain full manual control over every component. The system generates expert‑vetted part lists, smart per‑component recommendations, live compatibility checks, and instant FPS estimates so users can see performance before they spend a rupee. On top of the core builder, the platform includes a Price Updater and Parts Manager to keep component data fresh and consistent with real‑world pricing, enabling accurate, up‑to‑date build suggestions without manual spreadsheet work. This makes Digibuggy Configuration Lab a practical, production‑oriented AI tool for turning vague “I want a gaming PC” requirements into concrete, compatible, and cost‑efficient part lists in minutes

AetherDesk AI

AetherDesk AI is a local-first Windows AI command center built around PowerShell automation, HTML dashboards, a Windows desktop UI, a Chrome Extension, and optional local LLM intelligence through Ollama/Gemma. It combines system monitoring, productivity tracking, AI trend discovery, browser research capture, social trend intelligence, and privacy-focused local reporting into one lightweight desktop toolkit that runs on the user’s own machine without requiring a cloud dashboard. The software uses a practical Windows-native stack: PowerShell scripts handle automation, data collection, scheduling, report generation, and module execution; WPF provides a professional Windows UI; HTML/CSS dashboards present reports in a browser-friendly format; JSON and CSV files store configuration, raw signals, activity logs, browser data, and report data; Windows Task Scheduler supports recurring background automation; and Ollama with gemma3:1b adds local AI summaries and recommendations when available. AetherDesk AI also includes a Chrome Extension built with Manifest V3 and an official Native Messaging Host. The extension connects the browser with the local AetherDesk AI system, allowing users to save the current page, readable page text, page source, selected topics, browser activity duration, and selector-based screenshots directly into local project folders. It can run TrendRadar from selected text or the current page topic, show live running/completed/failed status, notify the user when a report finishes, and open the latest generated report or reports folder directly from Chrome. Its main utility is turning a Windows computer and browser into a personal AI operations desk. Users can generate trending AI/open-source reports, inspect system health, track app and browser usage, create productivity dashboards, save research pages, capture web sections, compare social platform signals with TrendRadar, and identify which platform is best for a topic using weighted scoring, charts, ranked resources, and Gemma-generated insights. AetherDesk AI is useful for developers, researchers, students, creators, freelancers, and power users who want private local automation. It helps answer questions like what is trending, whether the system is healthy, where time is going, which browser pages were useful, what content angle to use, which platform has the strongest trend signal, and what action should be taken next. The project is especially valuable because it is modular and extensible. New agents, Chrome actions, report types, dashboards, APIs, vector search, ETL workflows, desktop features, and browser intelligence modules can be added without rewriting the whole system. It works as both a productivity assistant and a foundation for a broader local AI operating layer for Windows.

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