Snapframe Pro

Snapframe Pro

TrustMRR

SnapFrame is an all-in-one Chrome extension for capturing, editing, organizing, and sharing screenshots. Capture full pages, selected areas, or specific elements, then annotate with arrows, shapes, te

SnapFrame is an all-in-one Chrome extension for capturing, editing, organizing, and sharing screenshots. Capture full pages, selected areas, or specific elements, then annotate with arrows, shapes, text, blur, and markup tools. Resize images for social media, presentations, and reports, then export in multiple formats. Every account includes 2GB of cloud storage to save, organize, and access screenshots from anywhere without relying on local files.

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Actual performance

7customers
$23MRR/mo
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: presentations · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, 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
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
20%20% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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