Co

Convert a screenshot to a working Flutter app (OSS tool)

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Convert a screenshot to a working Flutter app (OSS tool)

Hello everyone! I’ve been having fun this weekend implementing https://pixels2flutter.dev , a tool to convert a screenshot to a working Flutter app. It uses OpenAI GPT-4V(ision) to interpret the screenshot and generate the Flutter code. It then loads the code into DartPad, so you can play with it right from the browser. If the screenshot contains images, the tool tries to replicate them using DALL-E. You can find the source code here: https://github.com/davidmigloz/pixels2flutter Try it out and let me know what you manage to generate! PS: I got the idea from tldraw/make-real and abi/screenshot-to-code projects. So all credit to them.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: openai, using, code · Missing: mac, agents, macos
51%51% 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: ide, io · Missing: https docs, excited, just released
48%48% 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
36%36% 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
11%11% 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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