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The Moai – Habit change through group accountability

Hacker News

The Moai – Habit change through group accountability

My name is Suket and I built The Moai (https://themoai.org). It's a platform that enables habit change through social support groups. The idea was born out of my frustration with "productivity porn" on the internet. People would just consume motivational content, but not act on it. This is by design - the attention economy incentivizes consumption over action. The Moai aims to fix this at the root, by providing content creators an aligned business model that makes money when their audience succeeds. How we achieve this: - Students must place a deposit for accountability. If they don’t complete the program (judged on effort, not results), it is donated to charity (not us). Skin in the game for them and for us. - Students pay what they want. It’s free to join - they only pay if they see results. So far, students average $30 for a 30 day program. - Cohort sizes are small (4 people) to foster real community. - Students must share weekly check-ins on what worked and what didn’t. This creates a tight feedback loop and the foundation for shared learnings, motivation and accountability. Here's an example of a program built using the platform: https://themoai.org/intentional-technology. The goal of the program is to help people use technology more intentionally - less as an escape, more as a tool. I would love your feedback on whether you would consider joining such a program or be interested in building your own program using the platform. Thanks in advance!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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 HuntUnlikely to reach the leaderboard · Strong signals: model, using · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
42%42% 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
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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