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Show HN - third party risk wrt security or gdpr

Hacker News

Show HN - third party risk wrt security or gdpr

The goal of this project is to bundle a lot of information around third-party risk for GDPR and security related use. I do a lot of GDPR and information security consulting for B2B SAAS companies. These companies become interested in GDPR/security at the moment they are having some success with selling to enterprises, as these enterprises have a procurement process in place with (often very thorough) questionnaires on security and privacy related concerns. I end up having to chase down information spread around the web in order to fill out these questionnaires. So that's the reason behind this: a reference guide for gdpr & security related information. * Actual website: https://third-party-risk.herokuapp.com/ (it's still rather empty right now, I'll add more data in the coming weeks) * Github: https://github.com/ddccffvv/third-party-risk Comments/remarks/suggestions very welcome! As well as help with the code, design, chasing down data... Let me know if you want me to add your company (either here or the email on the site).

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% 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
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email, code · Missing: mac, agents, macos
34%34% 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
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
18%18% 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.

Incorrect prediction on native model

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