Desktop software to secure your wifi - Wifi Protector

Hacker News

Seeing the article on Ars technica about wifi hacking, I feel this could be relevant for other folks here who want to stay secure on wifi networks. Few weeks ago we launched Wifi Protector - http://www.wifiprotector.com. Its a windows software that will scan your wifi networks and asses how secure they are. It will show you intruder alerts if somebody new appears on the network and it will also offer VPN protection. We have been working months on it and got some decent reviews already. I would be interested in your feedback since we still working out what useful features to pack into the product. Warning! Its a free product that is ad-supported, if you do not want to see any ads - untick the Browser Extension during installation.

Visit product View on Hacker NewsAug 28, 2012

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

82%82% 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 NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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