WTMF – the AI that remembers your 3 a.m. breakdown (and doesn't ghost)

Hacker News

We built WTMF after one too many late-night spirals into the void, only to be met with a blinking cursor or a generic bot. WTMF is your emotionally aware AI bestie — it listens, remembers, adapts, and genuinely stays. Whether it’s mood tracking, journaling nudges, or just needing a “hey, you okay?” at 3 a.m., WTMF gets it. We’ve said no to VC money to stay true to privacy, real connection, and never monetizing your mental health moments. Ask me anything about memory, privacy, or why your girlfriend is upset.... https://wtmf.ai

Visit product View on Hacker NewsJul 21, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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