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GitHub’s 200 most-starred repositories with exact counts, real growth from recorded snapshots, sourced examples of what people build with them, and video guides matched to each project.

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Rankings snapshot 11 Nov 2026, 17:19 UTC · 200 repositories · 67 sourced use cases · 98 video guides

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Data sources: GitHub 11 Nov, 17:19 UTC
Data sources
Data sourcesLast syncedLast checked
GitHubLive11 Nov, 17:19 UTC11 Nov, 17:19 UTC
YouTubeNot connectednever11 Nov, 17:19 UTC
RedditNot connectednever11 Nov, 17:19 UTC
Hacker NewsLive11 Nov, 17:20 UTC11 Nov, 17:20 UTC
XNot connectednevernever

Next scheduled check: 12 Nov, 19:00 UTC

Reloads the latest data already stored on the server. It does not contact GitHub, YouTube or any other site.

Rankings

Published order from the latest snapshot. Your preferences never change a rank.

Rank is the position by exact star count in GitHub Search. Growth compares two recorded snapshots; nothing is estimated. How the rankings work

Momentum

The largest changes between two recorded snapshots over the last 7 days.

Most stars gained

  1. morluto/rea+197,356 ★
  2. mattpocock/skills+29,843 ★
  3. stablyai/orca+29,304 ★
  4. deepseek-ai/deepseek-harness+28,826 ★
  5. DietrichGebert/ponytail+25,030 ★

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Real-World AI Use Cases

What someone set out to do, how they did it and what their source reports, written in our words with the source linked.

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Reported by sourceCoding and Code Review

Review pull requests automatically with Claude in GitHub Actions

Goal
Install the Claude Code GitHub Action so Claude reviews each pull request with inline comments and responds to @claude requests.
Approach
The docs describe running `/install-github-app` from Claude Code, or manually installing the Claude GitHub App, adding an API key or OAuth token secret and copying a workflow file. A review workflow runs a code-review plugin skill on opened or updated pull requests and posts inline comments; an interactive workflow answers @claude mentions in issues and PRs.
Outcome
Anthropic's docs say Claude posts findings as inline comments, or one summary comment when it finds nothing, and skips drafts and trivial PRs.

Claude CodeDifficulty: Intermediate1 sources · code.claude.com

anthropics/claude-code

Reported by sourceWeb Data and Scraping

Crawl a docs site into clean Markdown for a RAG index

Goal
Use Firecrawl to map and crawl a website, returning each page as Markdown or structured JSON ready to chunk and embed.
Outcome
The maintainers claim the output is LLM-ready, uses fewer tokens than raw HTML and copes with JavaScript-heavy pages, proxies and rate limits.

FirecrawlDifficulty: Beginner1 sources · github.com

firecrawl/firecrawl

Reported by sourceLocal and Self-Hosted AI

Run an open-weight model locally and call it from your code

Goal
Install Ollama, pull an open model and call it through the local REST API so prompts stay on your machine.
Outcome
The project describes itself as a privacy-focused way to run open models locally, with optional cloud access.

OllamaDifficulty: Beginner1 sources · github.com

ollama/ollama

Reported by sourceCoding and Code Review

Port a Python library to JavaScript with a coding agent

Goal
Simon Willison had Codex CLI translate the JustHTML parser into a dependency-free JavaScript library, steering it with about eight prompts over one afternoon.
Outcome
He reports roughly 9,000 lines of JavaScript across 43 commits in about four and a half hours, passing nearly all html5lib tests (for example 6810/6810 tokenizer tests), at an estimated API-equivalent cost of $29.41 that his $20/month ChatGPT Plus plan covered.

Codex CLIDifficulty: Advanced1 sources · simonwillison.net

openai/codex

Planned, not donePersonal Productivity

Get automatic briefings before external calls with Lindy Meeting Prep

Goal
Lindy’s Meeting Prep routine sends a briefing before each meeting, or as a daily digest, with the attendees, their job titles and companies, and summaries of earlier meetings, by email or text.
Outcome
This is product documentation, not a reported result. The docs describe the routine’s settings and contents but give no accuracy figures or user outcomes.

LindyDifficulty: Beginner2 sources · docs.lindy.ai

Agents and Tools

Counts are use cases in the library and ranked repositories linked to each entry.

All agents and tools

61 / 61

Topics Worth Exploring

Each topic links the use cases, the ranked repositories behind them and the jobs they cover.

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From Repository to Real Application

One project followed from its code to documented use and a walkthrough. Each link is verified.

  1. Repositoryanthropics/claude-code

    Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

    #61 · ★ 155,283

  2. Documented use caseReview pull requests automatically with Claude in GitHub Actions

    Install the Claude Code GitHub Action so Claude reviews each pull request with inline comments and responds to @claude requests.

  3. WalkthroughThe SECRET Claude Code Upgrade That Has Everyone Going Nuts (Full Guide)

    By Chase AI ·

  4. Discussion

    No verified discussion is stored yet.

Latest Video Guides

Walkthroughs matched to one specific repository, with evidence. Links open YouTube.

Video guides

Independent creators. Listing a video implies no endorsement, sponsorship or partnership.

New and Noteworthy

Daily update: 11 Nov 2026, 17:19 UTC

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Every part of the site, each with a live figure from the published data of 11 Nov 2026, 17:19 UTC.