Telophase – Open-Source AWS Control Tower

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Hey HN – We’re Danny and Ethan from Telophase ( https://telophase.dev ). We’re building automation to isolate cloud environments by tenant or team. You can think of us as an Open-Source AWS Control Tower[1]. Our CLI is a drop-in tool to manage multi-account AWS setups. To start, we support AWS Account Factory and landing zones defined in AWS CDK. We plan to support multi-project GCP and multi-subscription Azure setups soon! Features: 1. Manage accounts in code. 2. Provision accounts and their infrastructure with a single command, `telophase deploy`. 3. Deploy to a subset of accounts using tags such as staging, prod-eu, prod-us, etc 4. Monitor concurrent CDK deploys with our TUI We decided to build Telophase after managing hundreds of accounts with Control Tower. We found it inflexible and required more integration work than we expected. Check out the readme for more: https://github.com/Santiago-Labs/telophasecli [1] https://aws.amazon.com/controltower/

Visit product View on Hacker NewsNov 9, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, using, code · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

64%64% 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

55%55% 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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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