Responding to NSA spying with a simple consumer VPN service

Hacker News

The NSA metadata gathering and passive monitoring is quite upsetting, and we don't have much confidence in legal changes happening quickly, so we put together a really simple consumer VPN service. We're still cleaning up the UI and making the install process easier, but it should work for people now. Yes, it's based in the US, but there's a big difference between "will turn over data proactively" and "will push back on requests to the fullest extent of the law". Since we don't fall under CALEA, there's no requirement for us to have any monitoring infrastructure. We're focusing on the mobile experience for iOS and Android -- the best combination of platform security but also difficult to "roll your own" service. Would greatly appreciate HN's feedback on concept and implementation; still under active development. Posting some free signup codes in the comments to try it out. https://privacy.cryptoseal.com/

Visit product View on Hacker NewsJun 20, 2013

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

88%88% 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.

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

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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: using, code · Missing: mac, agents, macos

32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

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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