Free Anycast DNS resolver for families and kids (Adult content filter)

Hacker News

Would like to share here a project that we have been working on for the last ~10 months. It all started with the goal of properly blocking adult & explicit content out of our own kids devices and expanded it to a free service that anyone can use. Feedback is welcome: https://cleanbrowsing.org CleanBrowsing is free Anycast DNS resolver that automatically blocks adult content and enforces safe search on Google, Google Image search, Bing, Youtube, etc. We have been crawling and categorizing the web for many months and we feel it got to a point where our database is large enough and we are able to accurately identify and block sites that should be not safe for kids. Try it out and let us know what you think.

Visit product View on Hacker NewsJan 8, 2018

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5points

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

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

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

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

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

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.

Incorrect prediction on native model

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