Apify builder
Mehdi Badawi Purdue engineer and former Dell systems hardware intern building reliable automation, telemetry, and applied-ML tools with Python, APIs, and Docker.
Leaderboard position
out of 6,961
New actors
#431
Total actors
#1,567
Monthly users
#2,017
Total users
#3,378
Monthly runs
#5,880
Total runs
#5,063
Portfolio stats
New actors
5
Total actors
5
Monthly users
5
Total users
10
Monthly runs
5
Total runs
94
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
4 of 5 actors cover 80%+ of monthly users.
Detect missed runs, explicit failures, empty output, and dead-letter growth in workflow observations you supply. Returns auditable verdicts and explicit unknowns instead of false green status.
20%
users
Normalize and compare California Prop 65 notice snapshots, then flag new or changed records that match your watchlist. Preserves source links and uncertainty; informational only.
20%
users
Measure brand mentions, citations, explicit recommendation order, and run-to-run variance across AI-search observations you supply. Deterministic analysis without extra inference cost.
20%
users
Turn a campaign manifest and collected post data into one verdict per creator deliverable: posted, late, missing, edited, removed, requirements failed, or unknown. Does not scrape social platforms.
20%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
