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Butt Mover, an IRL Productivity and Health Improvement Game

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Butt Mover, an IRL Productivity and Health Improvement Game

I need to get up from my chair and take a walk at regular intervals for medical reasons, But I often forget to do that when I'm immersed with work, So I wanted a solution which reminds me to take a walk at regular intervals automatically. Hence I created Butt Mover to solve that problem, It has two parts; 1. Butt Trigger: An ESP8266 based button switch which goes under a butt cushion on the chair and is connected to the computer. 2. Butt Mover: The game which starts the task timer (25 minute interval) when we sit on the chair and reminds to take a walk when the timer ends(with audio). When we get up from the chair the break timer (5minutes for 5 tasks and a long break for 30 minutes) starts and reminds to get back to the seat when the timer ends. Those who cannot build the Butt Trigger, Can start the timers manually but that removes the major advantage of not having to focus explicitly on Butt Mover. I've been using a crude version of this setup for past two years with good improvement in my productivity and health; So I finally created a version which is more accessible to others upon suggestion from many including some from HN. I hope you can try Butt Mover, Especially with the Butt Trigger and if you liked what it does then you can also build and sell Butt Trigger for others who are interested.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: computer, tasks, using · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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