Ad-sentinel – An AI powered ad-blocker

Hacker News

I've been frustrated at how much worse ad-blocking in Chrome has gotten since Manifest v3, so I've built this. I don't have it on the Chrome store yet (I'm not sure if they'll allow it) but you can pull down the code and install it into Chrome yourself, then just add your OpenAI API key (stored locally). The way it works is pretty simple, it inspects the DOM for suspected ads, verifies using the gpt-4o-mini model and if it is indeed an ad, it simply gets removed from the DOM From my admittedly limited testing, it's working pretty well, but feel free to suggest any improvements to the code or submit a PR Hope someone finds this useful

Visit product View on Hacker NewsDec 26, 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: model, openai, using · 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

23%23% 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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