Solo founder scraps an MVP, launches a waitlist first instead

A built four SaaS products over three years, and every single one ended with zero users. A fifth product, FlawCue, nearly followed the same path. The original version generated competitor analysis reports.

After building the MVP and setting a price, the developer began promoting it, then asked why anyone would pay for it instead of just asking ChatGPT for the same information — and had no honest answer, so the project was stopped. Drawing on more than six years of web development experience, the direction shifted toward a problem closer to that background. The new FlawCue reviews the final behind an AI-built app, prioritizes what could put a launch at risk, turns those risks into concrete fixes, and then compares the code before and after the fixes.

This time, a waitlist was opened before the full product was built. The goal is to find out whether the problem is painful enough for people to pay for, not whether the idea merely sounds interesting.

Key points

  • Built four SaaS products over three years; all ended with zero users
  • Shut down the original competitor-report version of FlawCue after failing to justify it over ChatGPT
  • New FlawCue reviews GitHub repos of AI-built apps to flag launch risks and suggest fixes
  • Opened a waitlist before building the full product to test willingness to pay, not just interest
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