Peter Reinhardt on Finding Product Market Fit at Segment

TL;DR

Peter Reinhardt recounts Segment’s journey from a failed classroom lecture tool through a failed analytics tool to finding product‑market fit with an open‑source routing library (Analytics.js) that unexpectedly took off on Hacker News. Later, discovering that top customers were using Segment as an ETL pipeline into Redshift led to a second explosive growth phase.

Key insights

• The open‑source version of the routing library didn’t actually solve the customer’s problem because it required recompiling and redeploying; the hosted version delivered the real value, even though th
• Founders often fall into a “death spiral” of user feedback where people say they want a feature but never use it; actual usage, followed by requests for more features, is the true signal.
• The Airbnb example of iterative product‑market fit is extremely rare and dangerous to emulate—it can keep a team stringing along on a bad idea for years.