Snap2Pass

TrustMRR

SnapPassport offers a hassle-free service for individuals in need of government photos for passports, visas and IDs. Using advanced AI technology, we are able to transform a portrait photo into a professional, high-quality image that meets all government requirements in just seconds. Our process is simple and efficient. All you have to do is upload a portrait photo to our website or mobile app, and our AI system will automatically adjust the image to meet all necessary guidelines. You can then

Visit product View on TrustMRRJan 2, 2023Artificial Intelligence Apps B2C

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating14

MRR growth 30d+0.7%

Launch Intel predictions

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

80%80% 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.

AppSumoStrong fit for a featured deal · Strong signals: efficient · Missing: plus, platform, intuitive

58%58% 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

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

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

27%27% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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