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Another Cryptokey Management Toolkit

Hacker News

Another Cryptokey Management Toolkit

I work between platform and security teams and have frequently used Tink ( https://developers.google.com/tink ) to create crypto keys for data encryption. Over time, I noticed that many teams had to wrap Tink to add features like data pipeline integration, schema tagging, and service account-based access control. I created Keyper, basically another version of tink but underneath it uses tfcdk directly so it's much easier to integrate with any/custom cloud provider and manage w/ additional cloud resources together. I really wanted to eventually add custom vault to this and make research level crypto keys creation/management super accessible: homomorphic keys, attribute-based etcencryption etc. etc. Wanted to ask if ppl will find this to be potentially interesting/useful at all ?

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
41%41% 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
11%11% 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.

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