How Clawsmith Works

Clawsmith is a signal scanner for the OpenClaw ecosystem. It monitors real engagement data across 12+ platforms and scores opportunities by actual numbers — no opinions, no guesses.

The 4 Signal Dimensions

The best opportunities sit at the intersection of all four. Clawsmith tracks each independently and surfaces patterns.

🔥 Hype

Trending repos, viral posts, feature launches, star velocity, social buzz. Captured from GitHub Trending, HN front page, X, Reddit, YouTube.

⚠ Issues

Pain points, complaints, bugs, missing features, security concerns. Sourced from GitHub Issues, Reddit, HN, Stack Overflow.

💰 Revenue

Existing products making money, market revenue, TrustMRR data, funding announcements. Shows where money is already flowing.

📈 Trends

Google Trends keyword interest, rising search volume, growing terms. Leading indicator of where developer attention is going.

Virality Score

Every signal gets a Virality Score — the sum of all real engagement numbers across platforms:

→GitHub: Stars + forks + issue reactions

→Hacker News: Points + comments

→Reddit: Upvotes + comments

→X / Twitter: Likes + retweets + replies

→YouTube: View count

→Google Trends: Interest score (0–100)

→Product Hunt: Upvotes

→Stack Overflow: Question count + views

Rankings are determined only by Virality Score — never subjective. Every number comes from a real source. Approximations marked with ~.

Data Sources

GitHub TrendingGitHub IssuesHacker NewsReddit (18 subreddits)X / TwitterGoogle TrendsProduct HuntYouTubeStack OverflowOpenClaw CommunityTrustMRR

Scan Frequency

Clawsmith scans all tracked sources once every 1-3 hours. Virality scores are recalculated on each scan. Score history is tracked to surface trend changes over time.