Pi

PickOrCraft – AI photo studio, train your model, any aesthetic

Hacker News

PickOrCraft – AI photo studio, train your model, any aesthetic

Hey HN, I built PickOrCraft — an AI photo content studio that lets you train a private AI model on your own photos and generate unlimited styled images and captions. What it does: - Train your own AI model in 5-10 minutes - Pick from 20+ aesthetic style packs or build your own with GPT assistance - Generate images instantly — your face, any style - AI caption generator for Instagram, LinkedIn, Twitter - Publish your custom styles to the marketplace Built this solo. Just relaunched after pivoting the core product. Would love honest feedback from HN pickorcraft.com

Visit product View on Hacker NewsFeb 25, 2026

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

70%70% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% 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

29%29% predicted probability of success on AppSumo, 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

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.

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

25%25% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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