Se

Securely collect sensitive data from any Netlify site

Hacker News

Securely collect sensitive data from any Netlify site

We are big fans of Netlify [1] (it powers our website and blog!) and we wanted to scratch our own itch to comply with GDPR, as well as various upcoming data security regulations [3]. So we, Very Good Security [2], just released an add-on that lets you securely collect sensitive data (e.g. payments, PII, SSNs, identification, etc.) via web forms on Netlify. With the new add-on, Netlify customers are shielded from data liability, breach risk and the compliance issues that come with holding sensitive data. So you can inherit PCI compliance from VGS (a level 1 service provider) and can fast-track other compliances like SOC2, HIPAA, etc. You can read more about our add-on for Netlify on VGS’ blog: https://blog.verygoodsecurity.com/posts/securely-capture-sen... and on Netlify’s blog: https://www.netlify.com/blog/2019/06/06/very-good-security-a... . Watch a quick video here: https://www.youtube.com/watch?v=wtYzLdpSeJo Try it out and let us know what you think! We’d love your feedback. [1] https://www.netlify.com [2] https://www.verygoodsecurity.com [3] California Consumer Privacy Act [3] Colorado Protections for Consumer Data Privacy [3] New York’s SHIELD act ( https://www.nysenate.gov//legislation/bills/2019/S5575 )

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: just released, ide, io · Missing: https docs, excited, exist
58%58% 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 HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
53%53% 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
43%43% 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
42%42% 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
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.

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