SnapMyApp – App Store screenshot maker with Quick and Advanced editing

Hacker News

It’s still a work in progress, so I’m sharing early for feedback. What I think is different from most tools: it has a Quick mode for speed and an Advanced mode for full control, so you can either generate fast or fine-tune details (canvas, layers, frame, screenshot, background) in one place. It’s guided but not rigid, and preview/export are built to stay aligned so output matches what you see while editing. It works great on mobile as well where other apps struggle. No signup needed (might add pro features in future) No ads If you test it, I’d really value feedback on time-to-first-export, export quality consistency, and what’s missing for you to switch from your current tool.

Visit product View on Hacker NewsFeb 27, 2026

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2points

Did not reach leaderboard

Launch Intel predictions

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

70%70% 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.

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

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

13%13% 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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