GitHub Rising Stars

Discovers fast-growing GitHub repositories that haven't made the official Trending page yet, by querying the GitHub Search API across multiple dimensions and ranking by stars per day.

Quick Start

Run the bundled script directly:

CODEBLOCK0

Default: repos created in the last 3 days, min 20 stars, top 15 results.

Script Options

CODEBLOCK1

Examples

CODEBLOCK2

How It Works

1. 1. Multi-query search — runs 3 GitHub API queries with overlapping time/star ranges to maximize coverage
2. Deduplication — merges results by repo ID
3. Spam filtering — removes known low-quality signals (crypto bots, game hacks, follower farms, etc.)
4. Rate calculation — computes stars / age_in_days for each repo
5. Ranked output — sorts by rate descending, shows top N

Interpreting Results

• - Rate > 200/day: Viral — likely hits Trending within 24h
• Rate 50–200/day: Fast-rising — worth watching
• Rate < 50/day: Early signal — may accelerate

Repos with no description or no language tag may be spam or private mirrors — apply extra scrutiny.

Agent Workflow

When a user asks to find rising repos:

1. 1. Run python3 scripts/find_rising.py with appropriate flags
2. Present results in a clean table, grouped by theme/category if patterns emerge
3. Highlight repos worth deeper investigation (high rate + meaningful description + known author)
4. Optionally open top repos in browser for quick review

Limitations

• - GitHub Search API is unauthenticated by default — rate limit: 10 requests/min. Add a Authorization: token <PAT> header in the script for higher limits.
• Results reflect repos created recently; established repos that suddenly spike are not captured (use pushed filter variant for that).
• Stars can be artificially inflated; cross-reference with Hacker News / Reddit for validation.