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Mockup Generator – Create Free Bulk Mockups in Seconds

Hacker News

Mockup Generator – Create Free Bulk Mockups in Seconds

Hello Hacker News people, I’m thrilled to share our latest project with you all: https://mockupgenerator.co If you’ve ever found yourself knee-deep in the tedium of creating mockups, especially for print on demand stores or showcasing digital designs, you’re going to want to check this out. Mockup Generator allows you to create bulk mockups in seconds, simplifying what used to be a time-consuming process. We’d love for you to take it for a spin and share your honest feedback. Thoughts on usability, functionality, or any ideas for additional features are all fair game and hugely appreciated. Looking forward to hearing what you think!

Visit product View on Hacker NewsOct 11, 2023

Actual performance

9points

Made the leaderboard

Launch Intel predictions

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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

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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