I added rizz to social media apps

Hacker News

Sup HN? Now you can chat someone up in any style you want on Instagram, Messenger, and WhatsApp. I made this Android app that gives you reply suggestions or rewrites your message in funny, flirty, formal, and other styles. Just tap on the AI icon on your chat bar and see creative responses in the keyboard area. You can do this in 50+ languages. You can see it in action here: https://www.youtube.com/watch?v=HjL1UKV25dM It's free to try (link in title). Buy me a beer/coffee if you get a date after using it :) P.S. I built this app because I got fired from my job and wanted to send a big F U to the system!

Visit product View on Hacker NewsAug 28, 2024

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

68%68% 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.

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

61%61% 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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, using · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, 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

30%30% 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

24%24% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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