AI

AI Therapist – Free Instant and Judgment Free Therapy Sessions

Hacker News

AI Therapist – Free Instant and Judgment Free Therapy Sessions

Hey Hacker News, I’m excited to introduce AI Therapist Free, a project I have been working on for a while. Its aimed at providing free, instant, and judgment-free therapy sessions through an AI chatbot. With mental health being so vital, I wanted to create a resource where anyone can express their thoughts without barriers. One of the important feature is all conversations are stored locally on the user’s device so no data is sent to servers, protecting your privacy. Built with Next.js and Firebase. Of course, this tool is intended as a supplement to traditional therapy, not a full replacement. You can also skip the homepage and head straight to the chatbot https://www.aitherapistfree.com/agent I would love Your Feedback and suggestions, especially on user experience, accessibility, and any potential technical enhancements.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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: agent, user, new · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, hacker news, io · Missing: https docs, just released, exist
34%34% 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
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
17%17% 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, introduce · 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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