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iPhone app that lets you edit photos with words

Hacker News

iPhone app that lets you edit photos with words

Built this quick app that feels like a lot like ChatGPT for photos. Upload a photo, type an edit, e.g. give him a mustache, make him bald, etc. The edits build on top of each other so you can really do some fun stuff. Works best with close ups of faces and landscape/architecture images. Not very good if there are multiple people in the image. The underlying model is Instructpix2pix. It can require a few tries so there's an easy retry button that undos and retries the previous edit. Another fun feature is you can hit "Send" without typing in a prompt, then it'll just pick a random prompt for you. This can lead you to some interesting and weird places.

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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 · Strong signals: model, chatgpt · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, 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 · Missing: plus, platform, intuitive
24%24% 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
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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