Highlite

TrustMRR

Annotate and share any webpage in seconds: highlight text, sticky notes, drawings, arrows. Free Chrome & Firefox extension — no account needed. Highlite transforms any webpage into an interactive

Annotate and share any webpage in seconds: highlight text, sticky notes, drawings, arrows. Free Chrome & Firefox extension — no account needed. Highlite transforms any webpage into an interactive canvas, allowing you to layer insights, feedback, and reminders directly on the source. Whether you're conducting deep research or giving design feedback, Highlite keeps your thoughts organized right where they belong.

Visit product View on TrustMRRApr 1, 2025Productivity Apps B2C

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Actual performance

1customers

$4MRR/mo

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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.

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

48%48% 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: io · Missing: https docs, excited, just released

45%45% 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

43%43% 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, active · Missing: mrr, revenue, profit

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

11%11% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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