Op

Open-source x64 and Arm GitHub runners

Hacker News

Open-source x64 and Arm GitHub runners

Ubicloud is an open source cloud. Think of it as an open alternative to cloud providers, like what Linux is to proprietary operating systems. You can self-host Ubicloud or use our managed service. Our first use-case is GitHub Actions. We support x64 and arm64 Linux runners; and reduce your Github Actions bill by 10x. We can give you hardware similar to default GitHub runners because of the very high margins on the cloud. One difference with our hardware is that we use local NVMes for better disk performance. Ubicloud and our GitHub Actions integration is also open source. You can check out our integration here: https://github.com/ubicloud/ubicloud/blob/main/routes/web/we... For security and isolation, we give you a clean and ephemeral VM for each job. When the job completes, we deprovision the VM and wipe out the block storage device attached to the VM. We set up your firewall rules to lock down access to the VM; and also encrypt your data at rest and in-transit. (We use Linux KVM and the Cloud Hypervisor as our underlying VM tech. For our block device, we use and extend SPDK: https://www.ubicloud.com/blog/building-block-storage-for-clo... ) Ubicloud runners are also fully compatible with GitHub runners. To get started, all you need to do is change 1-line in your workflow file. Each account gets 1,250 free build minutes per month with standard-2 runners. We’d love to hear your feedback! https://www.ubicloud.com/docs/github-actions-integration/qui...

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Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: started, compatible · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: margin, margins · 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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