Dyrector.io: API and UI for Kubernetes and Docker Deployments
Hi HN! dyrector.io is an open-source container management platform with config & release management capabilities to your cloud, on-prem or hybrid infrastructure. You install the platform's agent to your infrastructure, add the registry you wanna deploy images from, and deploy them. We made the platform to allow people who don't know anything about containers to set them up in dozens or hundreds of deployment targets. We thought it would be an interesting use case to engineers, too, who are uninterested or don't have the time to manage deployments and container maintenance in terminals. Hope…
In plain words
Dyrector.io is an open-source container management platform that provides API and UI tools for deploying Docker and Kubernetes applications across cloud, on-premises, or hybrid infrastructure. Users install an agent, configure container registries, and deploy images through a graphical interface rather than command-line terminals. The platform targets both non-technical users managing multiple deployment targets and engineers seeking to simplify deployment and container maintenance workflows without terminal-based configuration.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! dyrector.io is an open-source container management platform with config & release management capabilities to your cloud, on-prem or hybrid infrastructure. You install the platform's agent to your infrastructure, add the registry you wanna deploy images from, and deploy them. We made the platform to allow people who don't know anything about containers to set them up in dozens or hundreds of deployment targets. We thought it would be an interesting use case to engineers, too, who are uninterested or don't have the time to manage deployments and container maintenance in terminals. Hope you find the platform useful and let us know if you have any feedback!
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2023
the whole month →
- BR
In today's world, catchy headlines and articles often distract readers from the facts and relevant information. By utilizing OpenAI's language models, Boring Report processes sensationalist news articles, transforms them into the content you see, and helps readers focus on the essential details. We recently updated our iOS app experience, so any and all feedback would be appreciated. App Link: https://apps.apple.com/us/app/boring-report-news-by-ai/id644...
AI · 2023 · boringreport.org
Momentum Page▲834Launch your website in seconds, get users in minutes
Dev tools · 2023 · page.mmntm.build