A lightweight ad blocker Chrome extension I built

Hacker News

Hi HN I built a simple, lightweight ad blocker Chrome extension and wanted to share it with the community for feedback. What it does: Blocks common ads, popups, and banners Handles dynamically loaded content using DOM observation Very lightweight and fast No tracking, no unnecessary permissions Why I built it: I wanted a minimal ad blocker that doesn’t slow down browsing or overcomplicate settings. Chrome Web Store link: https://chromewebstore.google.com/detail/ajmonbkfjffgdhhacjm... I’m especially interested in: Performance feedback Bug reports Feature suggestions Thanks for checking it out!

Visit product View on Hacker NewsDec 23, 2025

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

66%66% predicted probability of success on AppSumo, 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Product Hunt, 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.

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

27%27% predicted probability of success on Acquire.com, 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

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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