ShopMyApp Photoshop extractor

Hacker News

ShopMyApp is a prototyping solution intended for designers that allows a Photoshop file to be exported as an interactive device prototype. Example JSON: https://www.dropbox.com/s/fjexrhdy4uctge4/applewatch_health.json?dl=0 Example texturemap: https://www.dropbox.com/s/2x7uxi219cpi3me/applewatch_health.png?dl=0 Part of the solution is a Photoshop plugin that exports a PSD as a texturemap and JSON-formatted metada about dimensions and texture coordinates. This is pretty cool from general perspective and might have other uses also. The exporter is free to use so feel free to try it at http://shopmyapp.com. Also the question we had in mind was if you see any potential in this kind of thing. Like if we'd develop it to certain direction, could it be something to pay for?

Visit product View on Hacker NewsSep 20, 2014

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% 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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

8%8% 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

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

Incorrect prediction on native model

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