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Used Claude to make a screen time app that let's me exclude certain apps

DaanyaalSobani published TrueScreenTime, a screen-time app built with Claude and hosted at github.com/DaanyaalSobani/truescreentime. The project’s pitch is…

By Dillip Chowdary • Aug 04, 2026 • Source: HN Claude/Codex/Fable

Used Claude to make a screen time app that let's me exclude certain apps

DaanyaalSobani published TrueScreenTime, a screen-time app built with Claude and hosted at github.com/DaanyaalSobani/truescreentime. The project’s pitch is simple: track device usage while letting the user exclude chosen apps from the totals. It appeared on Hacker News (item 49161351) under a Claude/Codex/Fable thread with 1 point and 1 comment at the time of capture.

The product mechanic that matters is selective exclusion. Stock screen-time tools often fold every foreground app into one number, so work tools, messaging, or always-on utilities inflate “usage” and bury the habits someone actually wants to change. TrueScreenTime treats exclusion as a first-class control: the user decides which packages count toward the report and which do not, so the metric tracks intentional focus rather than raw uptime.

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For engineers and builders, the interesting signal is not a new OS API but how Claude was used to ship a personal utility that fills a gap in platform defaults. Screen-time data lives behind permission gates, usage stats APIs, and OS-specific foreground tracking; getting exclusion right means defining a clear inclusion set, persisting user choices, and keeping the reported total honest when apps are added or removed from that set. A single-author, AI-assisted repo that solves one sharp UX complaint is a concrete pattern for agent-assisted product work.

Competitively, Apple Screen Time, Digital Wellbeing, and third-party focus apps already own the category, but most optimize for limits, schedules, and blanket blocking rather than tunable denominators. TrueScreenTime’s differentiation is narrower: cleaner accounting of “time that counts.” On HN it had only 1 point and 1 comment at capture, so it is early and unproven as a market play; its value right now is as a reference implementation and a public demo of Claude-built tooling in a crowded, permission-heavy space.

Watch the GitHub repo for how exclusion rules are stored, whether the app stays single-platform, and whether the HN discussion grows beyond the single comment. If you build similar tools, copy the scope discipline: one measurable complaint (inflated screen-time totals), one control (app exclusion), and an open repo so others can audit the accounting logic rather than trust a black-box dashboard.

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