I made a clean NSFW AI Chatbot with GPT 4 that send pictures

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I made a clean NSFW AI Chatbot with GPT 4 that send pictures

Hello HN, I always wondered why NSFW AI chatbot websites look all the same : darkish, unfriendly and mostly hentai content. Then it's not even real conversation but kind of twisted stories with descriptions and subtext... So I made a clean website that offers proper NSFW conversations (iMessage like) with classic characters having real (kinky) stories with pictures. I know it's quite unusual on HN, so I hope you'll find it useful and feel free to comment! Spread love <3 Greg

Visit product View on Hacker NewsMay 29, 2024

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

80%80% 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 · Missing: mac, agents, macos

69%69% 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

41%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 · Strong signals: friendly · Missing: plus, platform, intuitive

38%38% 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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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