Securly - Keep your kids safe on your home network

Hacker News

http://www.securly.com To keep kids safe online, we felt it wasn’t enough anymore to rely simply on blocking websites (domain filtering). We also need to protect them on trusted social media sites like Facebook, YouTube and Wikipedia. We couldn’t find any solution that does this for the entire home network. We are two security hackers who have worked in the enterprise firewall space for several years and felt this was an important problem to solve. The video on our front page gives you a pretty good idea of what we do. You can also use us as a free premium DNS server by pointing your DNS to the IPs here: http://www.securly.com/setup We would love some honest feedback on what we have built so far.

Visit product View on Hacker NewsJul 12, 2012

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73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · 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.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

16%16% 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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