Before You Build
Web AppLow Traction

RetentionCheck

The founder explicitly names the pattern: building too much and marketing too little. Public numbers were 3 users, $0 MRR, no Pro subscribers, and months of building, while the product already included calculators, SEO pages, email templates, cron jobs, export features, a roadmap, live stats, and an MCP server.

View source

Product snapshot

What it was

RetentionCheck is an AI churn-analysis web app for SaaS founders who want to understand cancellation feedback and choose a concrete retention fix.

Who it was for

SaaS foundersBootstrapped teams with cancellation feedbackProduct teams investigating churn

Problem / value

Users paste cancellation reasons, support tickets, or survey responses and receive ranked churn drivers, a Churn Health Score, customer quotes, and suggested fixes.

Core workflow

Analyze cancellation feedback; Rank churn drivers by severity; Generate concrete fixes from customer quotes; Review churn without integrations by pasting raw feedback

Product form

Web appNo-signup trial flow reported by the founderMCP server for Claude Code or Cursor reported by the founderChurn calculators and SEO pages reported by the founder

Pricing model

The founder's post listed Free at 10 analyses per month, Pro at $29 per month, and Lifetime at $399 once; the official site later showed Free, Founder at $99 per month, and Pro at $249 per month.

Competitors or alternatives

Founders can analyze cancellation feedback manually, with spreadsheets, or with general AI chat toolsRetentionCheck differentiates with churn-specific grading, ranked drivers, quotes, and benchmarks

What happened

Summary

The founder said RetentionCheck lets users paste cancellation reasons, support tickets, or survey responses to get AI-powered churn analysis.

Outcome

RetentionCheck shows a bootstrapped solo SaaS that accumulated many features before proving marketing, usage, or paid demand.

Core risk

Overbuilt Churn-Analysis Saas Before Marketing And Paid Demand Were Proven.

Timeline

  • Founder reported months of building before meaningful marketing
  • Founder reported 3 users, $0 MRR, 0 Pro subscribers, and about $18 monthly infrastructure cost
  • Founder reported building 5 calculators, 125+ SEO pages, 12 email templates, 7 cron jobs, PDF export, trend tracking, a roadmap, changelog, stats page, and an MCP server before having a single user

Before you build

Why it matters

This is a textbook solo-founder trap: every feature feels useful, but the product can become operationally broad before anyone proves the core job is worth paying for.

Primary check

Prove one paid retention-analysis workflow and acquisition channel before adding more SaaS features.

Checklist

  • Can you name the first buyer segment and the repeated job they need solved?
  • Can you reach that segment without relying on one fragile channel?
  • What evidence would disprove the Overbuilt churn-analysis SaaS before marketing and paid demand were proven. risk?
  • Set a user milestone before allowing new features; the founder chose zero new features until 50 users.
  • A large SEO and automation surface does not replace direct customer conversations.
  • Infrastructure cost can stay small while opportunity cost grows through months of unfocused building.
  • For AI analysis tools, validate the repeat-use case before building reports, trends, integrations, and developer interfaces.

Relevant if

  • You are building a similar ai tool with public-source distribution risk.
  • You need to validate who will repeatedly pay before investing in product polish.

Less relevant if

  • You already control a reliable acquisition channel for the exact buyer segment.
  • The product is an internal tool with no need for public distribution.

Pre-build tests

  • Run a landing-page or concierge test with the narrowest buyer segment before building the full workflow.
  • Ask users to commit to a paid pilot, not only to join a free waitlist.

Transferable lessons

  • Set a user milestone before allowing new features; the founder chose zero new features until 50 users.
  • A large SEO and automation surface does not replace direct customer conversations.
  • Infrastructure cost can stay small while opportunity cost grows through months of unfocused building.
  • For AI analysis tools, validate the repeat-use case before building reports, trends, integrations, and developer interfaces.