Atlas – A deployment pipeline platform built on Argo CD

Hacker News

Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!

Visit product View on Hacker NewsFeb 1, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, tasks, open · Missing: mac, agents, macos

90%90% 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: exist, existing, pipe · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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