Executive Summary

Many people — knowledge workers, students, and parents — lose productive attention to a handful of tempting apps, creating fragmented focus and hidden time waste. Existing remedies (device-wide lockdowns, browser extensions, or blunt timers) are either too aggressive or too easy to circumvent, which is why an estimated 10 million paying users could support a $3.6B market at a $36 annual contract value. A product that blocks or gates chosen distracting apps until the user completes an intentional app interaction (for example, 10 minutes in a task manager, a Pomodoro cycle, or a required sequence of productive actions) would operate at the app level and be moment-aware rather than device-wide. Core features should include per-app rules, minimal-friction overrides, contextual triggers, and on-device ML to infer intent and detect work vs. leisure periods, plus clear local-first privacy guarantees. The timing is favorable: consumers increasingly accept small monthly fees for digital wellbeing, privacy-first on-device ML is maturing, and app-level interventions align with user desire for control—reflected in a Market Score of 88/100 and Revenue Potential of 80/100. Competition is medium, so differentiation will require rigorous UX to prevent workarounds, tight platform engineering to handle iOS/Android restrictions, and highly accurate intent models to avoid false positives that drive churn. Given the $3.6B TAM, demonstrated willingness to pay, and technical feasibility, this is worth pursuing as a focused 12–18 month experiment to validate retention, platform feasibility, and scalable acquisition.

Market Opportunity

Prevent attention loss by blocking tempting apps until intentional apps are used targets a $3.6B = 10M paying users × $36 ACV total addressable market with medium saturation and a year-over-year growth rate of 8% YoY (App wellness and productivity app categories, based on Sensor Tower and market trend reports).

Key trends driving demand: Consumers are increasingly willing to pay small monthly fees for digital wellbeing tools — this creates steady subscription revenue potential.; App-level interventions are preferred to device-wide lockdowns because users want control and personalization — this opens a gap for moment-aware products.; Privacy-first, on-device ML is becoming standard, enabling behavioral models without large cloud privacy trade-offs and increasing user trust..

Key competitors include Freedom, Forest, Apple Screen Time.

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Prevent attention loss by blocking tempting apps until intentional apps are used

Executive Summary

Market Validation

Market Opportunity

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