A
A privacy first companion AI
Hacker NewsA privacy first companion AI
I'm flabbergasted that people share their most sensitive messages with companion AI apps. Read their privacy policies. They can read your messages. They also have your email. That combination is a serious security threat. Replika was just fined €5M in Italy over exactly this. Yes, this is something I built. All inference runs on-device, no account, no chat data leaves your phone. Happy to defend every claim. www.friendai.pro https://apps.apple.com/au/app/friend-ai-private-chat/id67616...
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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, email · Missing: mac, agents, macos61%61% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%41% 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, intuitive32%32% 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, revenue21%21% 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, cryptocurrency4%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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