I created this new AI selfie pose generator

Hacker News

I'm Gavin Li, creator of Crazy Selfie AI ( https://www.crazyfaceai.com/crazy-selfie-ai ). Crazy Selfie AI is an AI selfie generator. It can generate viral selfie poses and Selfie photo grid. Ever out of selfie poses ideas? • Just upload a photo, our AI will generate your selfie with the most viral selfie poses on tiktok and instagram Try your super model looks • Generate yourself in hundreds of super model looks inspired by top viral selfie looks from social media Generate Cute Selfie Photo Grid: • upload a photo, instantly get 9 cute selfie faces photo grid Key features: • Generate 100+ popular selfie poses with one click • Create various facial expressions instantly • Access trending poses from social media and generate your selfie • Free trial starting from $3.99/mo. Check out more details here: https://www.crazyfaceai.com/crazy-selfie-ai I'd love to hear your feedback and answer any questions!

Visit product View on Hacker NewsJan 15, 2025

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

82%82% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% 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

28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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