GD

GDPR Shield – Block EU users from accessing your website

Hacker News

GDPR Shield – Block EU users from accessing your website

While I love the EU's new data privacy regulation from a user's perspective, it's a nightmare for businesses to achieve compliance, because of the (sometimes intentionally) vague language of the law. And even if you pay an experienced lawyer to draft the policies and procedures required by GDPR, there's a very real residual risk of predatory law firms collecting penalties from mass-mailed cease-and-desist letters based on technicalities. Even if your business isn't located within the EU, you are required to comply with GDPR because the location of the user matters. I've built a tool that blocks users who are trying to access your website from within the EU as a short-cut to compliance, which makes sense if your business isn't reliant on EU users and you don't want to spend thousands in legal fees to achieve GDPR compliance. You can check it out here: https://www.gdpr-shield.io

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Actual performance

20points
11comments
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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: io · Missing: https docs, excited, just released
60%60% 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: user, new · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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 · 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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