A CLI for quickly generating 3D device mockups

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Device mockups usually require expensive and manual tools like Photoshop to generate. I was willing to sacrifice absolute quality for a tool that could do the job much faster. Mockupgen [0] generates a 3D perspective mockup from a screenshot. Using premade templates (from the amazing work of Anthony Boyd [1]) and opencv, it masks, warps and composites the provided image onto a device rendering. I'm working on expanding the selection of devices offered (mostly MacBook and iPhone at the moment), which is a matter of finding more sources of free to use PSD mockups. Currently, it doesn't do any handling of reflections and shadows, but this is in the works. Install with: pip install mockupgen And run with: mockupgen screenshot.png [0] https://github.com/rmenon1008/mockupgen [1] https://www.anthonyboyd.graphics/

Visit product View on Hacker NewsMay 28, 2023

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62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using, open · Missing: agents, macos, agent

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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

45%45% 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

10%10% 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.

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