Pornpen.ai – AI-Generated Porn

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Pornpen.ai – AI-Generated Porn

Hey HN, I've been working on https://pornpen.ai , a site for generating adult images. Please only visit the site if you are 18+ and willing to look at NSFW images. This site is an experiment using newer text-to-image models. I explicitly removed the ability to specify custom text to avoid harmful imagery from being generated. New tags will be added once the prompt-engineering algorithm is fine-tuned further. If the servers are overloaded, take a look at the feed and search pages to look through past results. For comments/suggestions/feedback please visit https://reddit.com/r/pornpen Enjoy!

Visit product View on Hacker NewsAug 23, 2022

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Actual performance

711points

414comments

Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, models · Missing: mac, agents, macos

80%80% 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

67%67% 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

46%46% 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

38%38% 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, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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