Momentum Mentor – Bot Helps Engineering Systems for Life

Hacker News

I built an AI consultant based on Claude Sonnet 4.5 that applies systematic frameworks (game theory, resource management, systems thinking, etc.) to help review life decisions and refine systems for live decisions. Not therapy. Not life coaching. Engineering consultation. Example frameworks: - Test the way one behave or decide with coverage and backtesting (judge by consequences, not morality) helps in reshaping system 1 for better reaction - Commons Governance (Ostrom's principles but for families) helps in managing energy and time with transactional method for both sides to maintain the meaningful relationship - Return of investment (Charlie's principles but for daily activities) helps in reviewing the time and effort spent by parties if the relationship is investing to grow the baseline happiness or wasted in unproductive activities 2-hour intensive sessions, $100. Data deleted after 30 hours. Built for people who think systematically. Start to chat with the bot https://momentummentor.com/chat During testing, I found it inspiring because, I was debating a topic with myself, I used it to test the bot and the bot revealed a blind spot and a self-consistency issue that I had anticipated would take me a week to consider. Looking for early user and feedback.

Visit product View on Hacker NewsOct 28, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

66%66% 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.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: claude, user · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, 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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

23%23% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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