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Vault as a Service

Hacker News

Vault as a Service

As a team of DevOps engineers, we've helped people to design and implement reliable infrastructure. A lot of our projects needed a solution for a secure storage and management of passwords, tokens and protecting of sensitive data. Hashicorp Vault is a good choice for small and mid-size organizations. We built a SaaS managed Hashicorp Vault solution and opened it for everyone. It is suitable for small companies when solutions based on AWS KMS and Vault Enterprise are too expensive. We setup a Hashicorp Vault cluster in the cloud which is fully-managed and supported by our team. It satisfies compliance needs and fulfill the production requirements by Hashicorp. Customer data is stored encrypted on AWS S3. We're inviting early adopters to join our private beta. Get your Vault cluster ready in a few minutes. https://rockos.io/managed-vault

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: organizations · Missing: supports, reddit linkedin, podcasting
64%64% 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
54%54% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos
37%37% 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
36%36% 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
19%19% 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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