10x cheaper GitHub Actions on your AWS account

Hacker News

I'm Surya and I'm super excited to announce WarpBuild's new capabilities. WarpBuild provides drop-in replacements for Github hosted runners that are faster and cheaper. WarpBuild got its first customers from our launch on HN last year and I'm excited to show our newest offering: WarpBuild managed Github actions runners on your AWS account that are up to 90% cheaper than Github-hosted runners. In the last couple of months, we released a ton of new capabilities to speed up your workflows and save on costs like: (1) BYOC: run Github actions in your AWS account, in ~5 mins. (2) Managed unlimited Github caches. (3) Static IPs for allowlisting. (4) Flexible runner and disk configurations. (5) Spot instances, arm64 and x86-64 runners. This has been a top ask from our users, and this is even cheaper than self-hosting on k8s using `actions-runner-controller`, while significantly improving job queuing times. We are rather unique in the breadth and depth of the product we offer. This is another capability that we think moves the ecosystem forward, including `action-debugger` via ssh, fast MacOS (M2 Pro) runners, CI analytics dashboards and more. We are making CI faster and cheaper for everyone. What are your biggest pain points with CI, and more broadly the release process? I'd love to learn more.

Visit product View on Hacker NewsJul 30, 2024

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

94%94% 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.

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

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

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

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

Correct prediction on native model

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