f() for every product team
Pre-MVP Waitlist open
1 Persistent brain
The problem
Product teams switch between 50+ tools daily, and none of them share context. AI generates faster than humans can verify. Research dies in transcripts. Decisions vanish into threads. No persistent brain learns team preferences.
Goal
Build a coordinated OS where every capability is a named, executable function, evidence-linked, human-in-the-loop at high-stakes moments.
Outcome
Pre-MVP with waitlist open. Persistent context learning. Designed for teams who believe AI should extend, not replace, human judgment.
Core functions
f(data)NL queries, KPI monitoring, anomaly detection
f(research)Synthesize interviews, surveys, market data at scale
f(ideate)Problem-led brainstorm and PRD generation grounded in evidence
f(version)Release workspaces with 12 configurable gate domains
f(brain)Persistent memory layer, learns team context and decisions
f(support)Support signal ingestion, AI resolution, CSAT modeling
Why it matters
After a decade shipping products for hundreds of millions of users, the bottleneck is no longer building, it’s coordinating judgment. Product f() is the bet that AI-native product work needs an operating system, not another point tool.