WeekSquire
An AI planner that decides your week, not just displays one
Start new thread

WeekSquire - An AI planner that decides your week, not just displays one

by•
Available now on iOS. Brain-dump your tasks, WeekSquire builds a proposed week around your existing calendar, you review and confirm. No account required. Most planner apps hand you a manual timeline or suggest times without committing, WeekSquire actually decides, with real constraints enforced (deadlines, fixed days, no double-booking), and a midweek reshuffle when things change.

Add a comment

Replies

Best
Maker
📌
Hey Product Hunt! I'm Vincent, a solo, non-technical founder in Belgium (studio: Squire Builds). WeekSquire just went live on the App Store, and I wanted to share it here. The idea: once a week, brain-dump everything you need to do. WeekSquire reads your existing calendar and proposes a full schedule around it, not a blank timeline you fill in yourself. You review, adjust anything that doesn't fit, and confirm, then each task becomes a real event in your own calendar. What I kept coming back to while building this: most planner apps either hand you a manual timeline (Structured) or suggest times without committing to a plan (Trevor AI). I wanted the app to actually decide, with deterministic rules on top of the AI's proposal (day-pins, deadlines, time-of-day windows, recurring tasks, no double-booking) so it enforces the plan instead of just hoping a prompt gets followed. When the week goes sideways, a midweek reshuffle re-proposes around what's left instead of leaving you to rebuild manually. One honest note on the process: I don't write code. Every line was built by directing Claude (Anthropic), start to finish, testing on my own phone at each step. Happy to answer anything about that if it's useful to other non-technical founders here. Free tier is real, 5 scheduled tasks a week, no ads, no forced upgrade. Premium is $6.99/month or $44.99/year with a 14-day trial on the yearly plan. iOS is live today, Android follows in September. Would love feedback, especially on whether the AI-decides-not-just-suggests approach actually lands, and anything that feels off in the onboarding. Thanks for checking it out!