Highlite – Annotate, comment, highlight and share any web page

Hacker News

Hi HN, I built Highlite, a simple browser extension that lets you highlight text, comment, and visually annotate any web page — directly in your browser. Why I made this I often wanted to quickly annotate or comment on something while reading online, but existing tools felt too heavy or required account setups. Highlite is designed to be lightweight, fast, and local-first. How it works Select text and then add a highlight or comment Add arrows, boxes, or emphasis on page elements No login or storage required! Annotations live right on the page Share by taking a screenshot (cloud sync and sharing are planned for later versions ) What's next I'm planning to add optional saving/sharing so annotations can be revisited or shared with teammates/friends. Try it out: https://chromewebstore.google.com/detail/bceogecjdhnhfcjpimf... I'd love feedback: Do you use page annotations in your workflow? What would make this extension more useful for you? Thanks!

Visit product View on Hacker NewsSep 30, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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.

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

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, 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.

nativeThis product was originally launched on this platform.

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

15%15% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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