A persistent complaint in r/ExperiencedDevs and HN threads is that feature flags accumulate silently in codebases — flags that were toggled on permanently years ago now live as dead conditional branches that nobody dares remove, bloating complexity and hiding bugs. FeatureFlag Graveyard connects to a GitHub repo, scans for flag patterns across popular feature flag libraries (LaunchDarkly, Unleash, custom env vars), and produces a prioritized cleanup report showing flag age, toggle state, code blast radius, and a safe-removal confidence score.
Senior developers and engineering leads at startups and scale-ups who have accumulated years of feature flag debt
$15/mo per repo for continuous monitoring + PR-level flag age warnings; free tier for 1 public repo
Hacker News: The rapid adoption of feature flag tooling over the past 5 years has created a massive wave of 'permanent temporary flags' that are only now becoming painful enough to address systematically.
The rapid adoption of feature flag tooling over the past 5 years has created a massive wave of 'permanent temporary flags' that are only now becoming painful enough to address systematically.
Connect a GitHub repo via OAuth, scan for 5 common flag patterns, output a table of flags with estimated age (from git blame), current state, and lines of code that would be cleaned up by removal.
LLM analyzes flag usage context from surrounding code to assess whether a flag is 'safe to remove', 'risky to remove', or 'still actively toggled' — going beyond simple static pattern matching.
Flag detection patterns vary wildly across codebases — low detection accuracy in non-standard implementations could erode trust quickly and require significant pattern library investment.
Likely buyers are engineering teams, platform leads, developer-experience teams, and technical founders. Start with Senior developers and engineering leads at startups and scale-ups who have accumulated years of feature flag debt and look for teams already spending time or money on this workflow.
Find the first 10 users by searching for recent complaints around "developer-tools technical-debt" in Hacker News, 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: $15/mo per repo for continuous monitoring + PR-level flag age warnings; free tier for 1 public repo.
Senior developers and engineering leads at startups and scale-ups who have accumulated years of feature flag debt