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Cumulus – Threat Modeling the Clouds

Hacker News

Cumulus – Threat Modeling the Clouds

Hi HN! I am excited to share OWASP Cumulus, a threat modeling card game for IT security in DevOps and cloud projects. Taking strong inspiration from the well-known card games "Elevation of Privilege" and "OWASP Cornucopia" we created a game for threat modeling specifically the Ops part of DevOps projects. It targets DevOps engineering teams, site reliability engineers and security professionals and gives a lightweight start into threat modeling and security by design. Please check it out at https://owasp.org/www-project-cumulus/ and contribute via https://github.com/OWASP/cumulus . Let's make this a community project!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
61%61% 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 NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
45%45% 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 · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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