AI agent serving more than 10k Figma designers converting screenshots into editable Figma designs

Acquire.com

See our main Figma plugin here: https://www.figma.com/community/plugin/1600233534990464379/image-to-figma-ai And see our website link there as well. We highly recommend trying it.

See our main Figma plugin here: https://www.figma.com/community/plugin/1600233534990464379/image-to-figma-ai And see our website link there as well. We highly recommend trying it. It’s very intuitive. An AI-powered design tool that helps designers turn screenshots and images into clean, editable Figma designs. The software detects fonts, styles, and visual elements before converting them into structured layers within Figma, reducing the manual work involved in recreating existing interfac...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$19,500

Launch Intel predictions

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

67%67% 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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: agent, visual · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews

30%30% 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

16%16% predicted probability of success on Acquire.com, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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