Search Your Screen — Google Lens Extension | 35K weekly users | 4.5 Stars | $150 Monthly Profit
TrustMRRSearch anything on your screen with Google Lens — drag, right-click, or full-page. 35K weekly users, 151,000+ searches, 4.5★ (28 reviews), $0 running costs. Monetization barely started: one affiliate
Search anything on your screen with Google Lens — drag, right-click, or full-page. 35K weekly users, 151,000+ searches, 4.5★ (28 reviews), $0 running costs. Monetization barely started: one affiliate link plus a paywall gate, live 8 weeks, already +260% MoM, $150 per month. A finished Pro tier (OCR, PDF search, history, batch) is built and ready to launch. 100% profit margin, all organic. Selling as need funds for masters.
Share cardActual performance
1customers
$1MRR/mo
Did not reach leaderboard
Traction signals
MRR growth 30d+87.1%
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting86%86% 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.
TrustMRRFits verified-revenue profile · Strong signals: month, google, monthly · Missing: mobile apps, ios, personal69%69% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: plus, reviews, users · Missing: platform, intuitive, host61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user · Missing: mac, agents, macos60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, margin · Missing: arr, mrr, revenue36%36% 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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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