Apify builder
Todd Handler Long Lever. I build and run the data feeds and AI systems a business works from every day. Engineer, 20 years as an owner and operator.
Leaderboard position
out of 10,354
New actors
#934
Total actors
#2,213
↑ +2,796
Monthly users
#2,702
↑ +2,591
Total users
#4,114
↑ +2,653
Monthly runs
#3,599
↑ +4,618
Total runs
#6,222
↑ +2,419
Portfolio stats
New actors
7
Total actors
7
↑ +6
Monthly users
7
↑ +6
Total users
14
↑ +12
Monthly runs
98
↑ +97
Total runs
154
↑ +144
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
6 of 7 actors cover 80%+ of monthly users.
Live job postings straight from company career boards on Greenhouse, Lever, Ashby, Recruitee and Personio, in one normalized schema, with a changes-since-last-run mode for scheduled monitoring.
14%
users
New building permits from 23 US city and county open-data feeds (NYC, LA, Chicago, SF, Austin, Seattle, DC and more) in one normalized schema, with a new-since-last-run mode and filters for trade (solar, roofing, HVAC, pool), valuation and contractor.
14%
users
Newly registered US trucking companies and operating authority status changes (granted, revoked, suspended, reinstated) from official FMCSA open data, with filters and an only-new-since-last-run mode for daily lead feeds.
14%
users
Google News results from the official RSS feeds for any search query, topic, location or language edition, with optional decoding of Google redirect links to the publisher's article URL and a new-articles-since-last-run mode for scheduled monitoring.
14%
users
Newly registered businesses from official state data (FL, CO, CT, NY, OR, TX, DE) in one schema, daily, deduplicated, with registered-agent and mass-filer addresses filtered out and a likely industry tag.
14%
users
Remote job listings from Remote OK and We Work Remotely in one normalized schema, with salary, tags and categories, cross-board de-duplication and a changes-since-last-run mode for scheduled alerts.
14%
users
ActorHunt MCP
ActorHunt gives paid members MCP access to keyword data, actor evidence, and Store movement for deciding what to build next.
