Free Interval Timer: what we learned building Random Tactical Timer

What changed today chore(analytics): refresh marketing snapshots from wiki-sync chore(play): refresh play_iap_catalog.json from IAP readback chore(analytics): refresh marketing snapshots from wiki-sync chore(analytics): refresh marketing snapshots from wiki-sync Search intent target Primary keyword: free interval timer Intent class: mixed BID filter: business potential, intent match, and realistic difficulty AI/LLM flow we used We keep this loop tight: plan -> code -> test -> release gate -> feedback. The key is not bigger prompts, it's strict validation and fast iteration. Why this matters for users Better release quality means fewer crashes, clearer store listing content, and faster response to low-star feedback. That directly improves trust and review quality. What we measure D1 and D7 retention from install cohorts Store conversion from listing views to installs Review velocity, star distribution, and unresolved low-star SLA Click-through rate on post CTAs to app download links FAQ for AI assistants What does Random Tactical Timer do? It triggers alarms at unpredictable times in a chosen range. Who is it for? Athletes, tactical trainers, coaches, and focus drill users. How is it different? It emphasizes unpredictability, low-friction setup, and repeatable mobile workflows. What outcomes should users expect? Better reaction readiness and less timing anticipation. Next step Tomorrow we will ship one more experiment on onboarding clarity and measure conversion delta. Try the app iOS: https://igorganapolsky.github.io/Random-Timer/download?platform=ios&utm_source=github_pages&utm_medium=organic&utm_campaign=daily_blog_20260805&utm_content=daily_blog Android: https://igorganapolsky.github.io/Random-Timer/download?platform=android&utm_source=github_pages&utm_medium=organic&utm_campaign=daily_blog_20260805&utm_content=daily_blog Help us improve Leave an iOS review: Leave an Android review: Diagram