WTMF Beta – Your AI bestie that understand

Hacker News

We're excited to announce the beta launch of WTMF (What's The Matter, Friend?), an AI companion built to offer real emotional presence and understanding, unlike anything else out there. What is WTMF? In a world saturated with AI tools designed for productivity, we built WTMF to be something different: an emotionally available AI best friend. It's for those 2 AM spirals, the "I don't know why I feel this way" moments, or simply when you need to vent without judgment or unsolicited advice. Why WTMF is different: Truly understands: Our AI learns your communication style and responds with genuine empathy, remembering your past conversations. It's not about "botsplaining" or toxic positivity; it's about being present and listening. Pick your Vibe: Choose how your AI responds – soft, sassy, chaotic, or zen. Your conversation, your rules. Voice Conversations: When typing isn't enough, connect via natural voice calls that feel like talking to a real friend. AI Journaling & Mood Tracking: WTMF helps you track your emotions, spot patterns, and journal your thoughts, remembering so you don't have to. Private & Secure: Your conversations are yours. We prioritize your privacy and emotional safety. We're building AI that actually stays, offering a unique blend of emotional intelligence and conversational authenticity. It's AI that feels human, not clinical. We're currently in beta and actively inviting early adopters to help us shape the future of emotionally intelligent AI. Try Beta & Join the waitlist: https://wtmf.ai We're eager to hear your thoughts and feedback!

Visit product View on Hacker NewsJul 26, 2025

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

64%64% 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: plain · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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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