First Users Machine helps early-stage founders identify the right customer segment, find relevant prospects, start conversations, and learn from responses.
Product workflow
Real screens use your saved workspace data.
Recommended ICP
Compare pain intensity, reachability, willingness to pay, and early adopter fit.
Ranked prospect evidence
Review fit score, tier, channel, confidence, and the facts behind the recommendation.
Outreach workflow
Copy a suggested first message, mark contact status, schedule follow-up, and capture notes.
How it works
Turn your startup description into focused ICP hypotheses with pains, triggers, roles, and search criteria.
Build a First 50 list from provider or demo data, then rank candidates using FUM's evidence-aware scoring.
Use suggested outreach, record statuses and follow-ups, and watch validation signals emerge from replies.
What FUM keeps honest
FUM separates hypotheses from provider facts, keeps rankings explainable, and helps you learn from real outreach outcomes.
Ready to test the first segment?