Yarn is an AI‑driven mobile application that requires a short, NLP‑generated journaling entry before unlocking user‑selected distracting apps, prompting users to articulate intent and assess mood. The app enforces lock/unlock at the OS level on iOS and Android, stores journal data locally with end‑to‑end encryption, and offers a habit analytics dashboard with adaptive recommendations to improve digital well‑being.
Funding
Funding not disclosed
Founders
Product
Problem
Smartphone users often fall into habitual scrolling and app usage without conscious awareness, leading to reduced productivity, increased stress, and difficulty breaking digital addiction patterns. Traditional screen‑time tools lack real‑time behavioral prompts that encourage reflection before app access.
Solution
Yarn provides an AI‑driven screentime intervention that requires a brief journaling entry before unlocking designated distracting applications. The platform leverages natural‑language processing to surface personalized prompts that help users articulate their intent and assess their current mood. By embedding the reflection step into the unlocking workflow, Yarn creates a friction point that encourages mindful decision‑making without completely blocking access. Usage data is aggregated locally to generate weekly habit insights and adaptive recommendations, allowing users to track progress and adjust their intervention settings over time. The solution integrates with native mobile operating systems to enforce lock/unlock rules seamlessly across iOS and Android devices.
Target Audience
The primary users are adult smartphone owners who seek to reduce compulsive app usage, including professionals, students, and individuals managing digital well‑being, as well as parents looking for self‑guided tools for their families.
Features
- AI‑generated journaling prompts tailored to the user’s recent usage patterns and time of day
- Mandatory pre‑unlock journal entry for user‑selected “distracting” apps, with optional quick‑reply suggestions
- Real‑time lock enforcement via OS‑level accessibility services on iOS and Android
- Localized habit analytics dashboard showing screen‑time trends, journal sentiment, and goal attainment
- Customizable app whitelist/blacklist and adjustable prompt frequency per user preference
- End‑to‑end encryption of journal content with on‑device storage to ensure privacy
- Adaptive learning engine that refines prompt relevance based on user responses and engagement history