op_finder

Find SF-based companies with active open source projects worth contributing to.

Pipeline

scrapers/  -> data/raw/*.csv  -> normalize -> data/companies.csv -> github_score -> data/ranked.csv

Setup

pip install -r requirements.txt
cp .env.example .env
# add your GITHUB_TOKEN to .env

Usage

python run.py              # run everything
python run.py scrape       # all scrapers only
python run.py normalize    # merge + SF-filter raw csvs
python run.py score        # GitHub enrichment + ranking
python run.py hn           # individual: hn_hiring
python run.py todo         # individual: todo_ospo
python run.py oc           # individual: opencollective
python run.py kv           # individual: keyvalues
python run.py gh           # individual: github_sponsors

Sources

Name	Source	Notes
hn	HN "Who is hiring?" 2022-2026 via Algolia	SF-filtered at scrape time
todo	TODO Group OSPO landscape.yml	Location enriched later
oc	Open Collective GraphQL	SF-filtered at scrape time
kv	keyvalues.com directory	SF-filtered at scrape time
gh	GitHub Sponsors via seed crawl	Location enriched later

Output

data/ranked.csv is sorted by contributability score:

score = external_pr_authors_90d * 10
      + good_first_issues * 3
      + min(repo_count, 50)
      + recent_commits_90d * 0.1

The external_pr_authors_90d metric is the strongest signal — it tells you the company actually merges PRs from outside contributors.