Alternatives
Products that do what We Built FlyCI – Cost-Effective Mac Runners for GitHub Actions does
Hi, I'm Kiril Gantchev, one of the co-founders of FlyCI. FlyCI offers substantial cost savings for M1 and exclusive access to M2 runners for GitHub Actions, boosting mobile CI/CD workflows. Beta users get exclusive access to our M1 and M2 runners for free until the program ends (January 31, 2024). The key benefits are: - Up to 2x Cost Savings: Compared to traditional options, FlyCI's Mac runners offer significant price reductions, optimizing development budgets. - Exclusive M2 Access: Stay ahead of the curve with FlyCI's exclusive access to M2 runners, ensuring your development…
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Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…
Jul 2026 · github.com
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I built slotstream, a way to run Qwen3.8-Flash-Next 4-bit on a low-memory mac starting from 16GB, a 125B parameter model that would need 100GB+ memory/RAM, thanks to expert-offloading/ssd-streaming. Easy to install/update, and mac-native using MLX and Swift. It ships with auto-mode, which makes a good tradeoff between memory usage and speed. I'll be implementing and porting the MTP module for speculative decoding next Local models really are the future of computing!
5d ago · github.com
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Hi HN! I’m Gabriel, and I’m happy to share a project I’ve been working on for the last few years: Flyde, an open-source visual programming language. Check out the interactive examples and online playground on the website: https://www.flyde.dev. In my last role as an engineering manager for a B2B-oriented product, I authored and reviewed many diagrams for backend applications, mostly for integrations between 2 third-party services. Some of these diagrams were elaborate enough that I started dreaming of a way to simply run a diagram as is; I imagined a “run” button on the top-right…
2024 · github.com
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I've built a thing! A few months back someone (not me) posted my Mac app Droplings to HN. It was incredibly rough around the edges back then, and in alpha. Well, it's finished now and sparkles like crazy. Please take a look! :)
2012 · servus.io
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Hey HN, I’m Surya and I’m super excited to show you WarpBuild’s new MacOS runners for Github Actions! The MacOS runners are powered by M2 Pros with 6vcpu and 14GB memory. On paper, this is comparable to the M1 powered macos-latest-xlarge runners by Github but are 25% faster and 50% cheaper, with the same tools pre-installed. This is useful for 4 reasons: because Github runners are super slow and pricey and even more so on mac, managing mac infra is a hassle, concurrent CI runs on macs can get very expensive, and pre-installed tooling speeds up workflows. We have teams running iOS builds on…
2024 · docs.warpbuild.com
- 9GF
I've been a big fan of fly.io with it’s devx, but cold starts and pricing have been a consistent problem. Even for side projects it's painful if they take 30s to load, it just kills the whole experience. With coding agents becoming good, there were a lot more things I started building, and I just wanted to run all of those things! GCI was built to solve this. It’s just a CLI, just uses ssh to interact with your target machine, and relies on docker swarm to get your services running (docker swarm is IMO underrated, providing benefits even with a single node). It can deploy on any machine that…
Mar 2026 · github.com
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I have been pushing up to 90 commits a day on a MacBook Air via 4-5 parallel agents. As you can imagine when all the agents try to build, test and run dev servers on an 8GB machine it is the fast lane to a force quit and restart. I also did not want to pay the CI minutes on 90 pushes a day. So I designed a local merge queue to have all commits land one at a time and fully tested. Hopefully this helps other folks with more modest machines. Appreciate any feedback.
Jul 2026 · github.com
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My friend and I grew frustrated with the high cost of existing pair programming tools, and of course of grainy screens when we used Huddle or similar tools. We believe core developer collaboration shouldn't be locked behind an expensive subscription. So for the past year we spent our nights and weekend building Hopp, an open-source alternative. We would love your feedback and we are here to answer any and all questions.
2025 · github.com
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2021 · gist.github.com
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2025 · lab.workhub.so
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I built a specialized package of DeepSeek V4 Flash 0731 (originally 284B total parameters, 13B active), preserving reasoning, tool calling and coding capabilities: https://huggingface.co/steadfastgaze/DeepSeek-V4-Flash-0731-... I let it write a minimal C compiler targeting ARM64, then test the result with Fibonacci and FizzBuzz programs, and it succeeded in less than 1 hour, with the full recording at: https://youtu.be/XiwSilmV8B0 You can run it on Silicon Macs with my engine https://github.com/steadfastgaze/MoEspresso, while one of the…
21d ago · huggingface.co
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I've been tired with the current options on the market for awhile and decided to do something about it after the running into the disaster that is MLOps at my last two startups and having to manage a multiple operation platforms both for my fellow ML engineers, the general application CI/CD and orchestration layers while simultaneously building the application itself. Its still extremely early for the product but its functioning and is well on its way. I'd love feedback on the approach and peoples thoughts on the problem space. Personally my irritations have been in the poor tooling,…
2025 · egdaemon.com
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Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
2024 · saas-quick.com
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I'm continuing to improve my RunsOn tool for launching self-hosted runners for GitHub Action on AWS, this time with support for any GPU-enabled instance type from EC2, and using the official Deep Learning AMIs as the runner image. Much cheaper than the official GitHub Actions runners, and accessible on any GitHub plan.
2024 · runs-on.com
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i built a heart rate zone training app for runners. ios + apple watch. custom zones, real-time haptics, post-run graphs. all the “smart” stuff you’d expect. but i never talked to a single runner before building it. not even myself lol. started as a thesis → kept building → added features → added a paywall (€4/month!) → launched it → and yeah… no one cared. zero feedback. zero users. just code in the void. i recently made the whole thing free. not trying to “sell” anything now — just seeing if it’s actually useful, and listening this time. curious how others handle this. ever build…
2025 · basamasa.github.io
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2021 · deltaci.com
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Hi HN! I'm the author of mere.run a local first inference runtime built around an installable CLI. I believe that whenever possible we should use the stuff we already own (like our Mac laptops, decent machines gathering dust, our gaming PC) and the limited electrical power we have easy access to, like the socket in the wall next to most of us. We shouldn't have to send our data to the cloud hoping some T&C will prevent it from being used in a way that we'd regret. Most of the local AI solutions are technical, involved, and land a curious body in some package hell. People are optimizing for…
Jul 2026 · github.com
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