Faster local AWS EKS access

Hacker News

Simple script to replace `aws` in your Kubeconfig for users of AWS EKS. Reduces the pain of using kubectl with AWS EKS a lot. The default way is to use aws eks get-token command, but it is not cached and it is not very fast. It's slow because: 1. Every kubectl command will do an `aws eks get-token` which makes an API call to AWS 2. aws cli is python. When running kubectl in a loop, you can very clearly see how much performance is lost generating tokens for each kubectl invocation in Activity Monitor.

Visit product View on Hacker NewsJul 29, 2025

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Launch Intel predictions

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

69%69% 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

61%61% 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

53%53% 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, way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

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.

Incorrect prediction on native model

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