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Catio - AWS Diagrams and Architecture Copilot

Hacker News

Catio - AWS Diagrams and Architecture Copilot

Hey HN, I’m working on Catio, a tool that builds live digital twin diagrams of your AWS infrastructure and includes an AI copilot that can answer questions and reason against that model. The diagram and chat experience is free to use, read-only, and can be connected to dev or sandbox AWS accounts if you want to try it without touching production. We also have a paid product around AI-generated recommendations and architecture designs, but currently I’m mostly looking for feedback on if this feels useful to you, and how we can improve it! Happy to answer any questions in thread :)

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model · Missing: mac, agents, macos
84%84% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, paid · Missing: web3, crypto, cryptocurrency
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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