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I made *the most realistic* AI chat

Hacker News

I made *the most realistic* AI chat

Most AI companion sites are all about flashy graphics and slick design, but they miss the key part: the interaction. I did the opposite. My AI focuses on ultra-realistic chat—it hesitates, makes typos, and even writes over you, just like a real person. Each time you visit, you're connected with a new "fake" person who has their own hobbies, quirks, and chat style - just like old Omegle (minus the creeps). And if you want more control, you can customize your chat partner’s role, appearance, and more. I’m serious about "the most realistic AI-chat" claim. If you find a more lifelike AI, I'll update my claim! I’ve tried them all, and nothing else comes close. I’d love your feedback! :)

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
83%83% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% 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
39%39% 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 · Missing: arr, mrr, revenue
19%19% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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