Founders on r/indiehackers and HN consistently report that their biggest mystery isn't why users churn at month 3 — it's why 60-80% of new signups never return after day 1, and they have no systematic way to diagnose it without a $500/mo FullStory or Heap subscription. RoastMyRetention connects to a founder's existing analytics (Mixpanel, PostHog self-hosted, or a pasted CSV export of event data) and runs an automated 'retention autopsy' on the first 7 days of user behavior — pinpointing which specific in-app action (or absence of it) statistically predicts whether a user becomes a retained customer or ghosts. The output is a one-page diagnostic report with 3 prioritized fixes.
Indie SaaS and mobile app founders with 50-500 MAU who have basic event tracking in place but no data analyst to interpret it
$29 one-time report per app audit; $49/mo for continuous weekly monitoring with Slack alerts when week-1 patterns shift
Reddit: PostHog's aggressive free tier has pushed thousands of indie apps to finally instrument their events, creating a data-rich but insight-poor population of founders who have the raw material but not the interpretation layer.
PostHog's aggressive free tier has pushed thousands of indie apps to finally instrument their events, creating a data-rich but insight-poor population of founders who have the raw material but not the interpretation layer.
Accept a CSV export of user event logs (user_id, event_name, timestamp), run a cohort correlation analysis in Python, and generate a static HTML report identifying the top 'activation event' that predicts day-7 retention.
GPT-4o interprets the statistical output of the cohort analysis and writes the actionable diagnosis in plain English, naming the specific UX friction or missing aha-moment rather than just displaying a retention curve.
PostHog itself is shipping more built-in retention analysis features quarterly, which could commoditize the core diagnostic loop — differentiation must come from the opinionated 'fix this first' output, not just the charts.
Likely buyers are engineering teams, platform leads, developer-experience teams, and technical founders. Start with Indie SaaS and mobile app founders with 50-500 MAU who have basic event tracking in place but no data analyst to interpret it and look for teams already spending time or money on this workflow.
Find the first 10 users by searching for recent complaints around "SaaS analytics" in Reddit, developer communities, GitHub issues, and niche Slack or Discord groups. Offer a concierge version first: manually solve the workflow for a few users, then automate only the repeated steps.
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A medium difficulty app like this typically costs $0-$5,000 for an MVP. Monetization: $29 one-time report per app audit; $49/mo for continuous weekly monitoring with Slack alerts when week-1 patterns shift.
Indie SaaS and mobile app founders with 50-500 MAU who have basic event tracking in place but no data analyst to interpret it