securelint

TrustMRR

SecureLint is an AI-powered browser security extension that detects phishing websites and emails in real time, blocks malicious websites and risky browser extensions, and protects sensitive data during screen sharing, meetings, demos, and recordings. It automatically masks passwords, API keys, tokens, emails, and personal data, while allowing users to blur selected content live. SecureLint helps prevent cyber threats, data leaks, and compliance risks for teams and enterprises.

Visit product View on TrustMRRApr 1, 2026Developer Tools Other dodopayment

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating2

Launch Intel predictions

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

88%88% 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.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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