Expiry Manager· Document expiry date tracker
Made for dates that carry consequences.
What is Expiry Manager?
Expiry Manager is a document expiry date tracker.
Expiry Manager is a timing system for important dates. Photograph a document and Smart Scan finds the expiry date; choose when you want to be warned; then forget about it until it is time to act. Built for individuals and businesses — personal documents like passports and insurance, family responsibilities, team certifications, fleet cover, warranties, and recurring subscriptions in one place. How it works: (1) Scan once (2) Choose when to be warned (3) Forget about it (4) Act before expiry. Freemium pricing: Free plan, Premium at $4/mo, Teams at $6/mo. Live product at https://expirymanager.com/.
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FounderPlaybooks.
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The total cost for our tools is about 300 a month and Apple takes their 15% cut if you make under a million dollars So our margins still stay close to that 80 85% range... Total downloads are over 20,000 Most of this is organic from app store and organic search
Hit 80-85 Percent Margins On $300-Per-Month Of Tools With Pure App-Store Organic Traffic
Three apps generating $10.4K MRR run on ~$300/month of SaaS (Figma, Supabase, RevenueCat, Sentry, PostHog) plus Apple's small-developer 15% cut, holding margins at 80-85%. Distribution is entirely free organic ASO and search — no paid acquisition, which is what makes the unit economics work at this revenue level.
we mostly run experiments We typically kind of broke down the audience to sort of three buckets according to GIO It was like a US or kind of US Australia Canada Then there was the Europeans and then there was Latin America and we typically had like this streams of tests for each
Run three geo-segmented experiment streams simultaneously
Mojo ran three parallel experiment pipelines covering US/Canada/AU, Europe, and Latin America so each test reached statistical significance in 1-2 weeks per segment. A winner in Europe sometimes failed in LatAm and rolled out only where it worked, preventing revenue dilution in mismatched markets. Segmenting experiments by purchasing-power region rather than language avoids misleading blended results.
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