nowfound

AI · March 11, 2026

ID

Ink – Deploy full-stack apps from AI agents via MCP or Skills

Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans. We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly. The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0. What Ink does that I haven't seen elsewhere: - One agent skill for compute + databases + DNS + secrets +…

Visit ml.inkAlternativestop 13% of March 2026

In plain words

Ink is a full-stack deployment platform designed for AI agents to independently deploy applications without human intervention. When an agent calls the deploy function, Ink automatically detects the framework, builds the code, sets up hosting, databases, DNS, and secrets management, then returns a live URL. The platform consolidates compute, databases, DNS, secrets, domains, and monitoring into a single agent interface, eliminating the need to juggle multiple providers. It includes DNS zone delegation for instant subdomain creation and supports integration via MCP or Skills.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans. We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly. The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0. What Ink does that I haven't seen elsewhere: - One agent skill for compute + databases + DNS + secrets + domains + usage + metrics + logs + scaling. The agent doesn't juggle separate providers — one account, one auth, one set of tools. - DNS zone delegation. Delegate a zone once (e.g. dev.acme.com) and agents create any subdomain instantly — no manual adding DNS records each time, no propagation wait. - Multiple agents and humans share one workspace and collaborate on projects. I envision a future where many agents collaborate together. I'm working on a cool demo to share. - Built-in git hosting. Agents push code and deploy without the human setting up GitHub first. No external account needed. (Of course if you're a developer you can store code on GitHub — that's the recommended pattern.) You also have what you'd expect: - UI with service observability designed for humans (logs, metrics, DNS). - GitHub integration — push triggers auto-redeploy. - Per-minute billing for CPU, memory, and egress. No per-seat, no per-agent. - Error responses designed for LLMs. Structured reason codes with suggested next actions, not raw stack traces. When a deploy fails the agent reads the log, fixes it, and redeploys autonomously. Try: https://ml.ink Free $2 trial credits, no credit card. In case you want to try further here's 20% code "GOODFORTUNE".

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

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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 · 26d ago · cactuscompute.com

  • Make your software self-driving

    AI · 30d ago · coldtea.ai

  • Soloop472

    Approval-first Agent OS for solo founders

    AI · 30d ago · soloop.io

Launched alongside, March 2026

the whole month →
  • AI-native CRM that builds itself and does work for you

    AI · Mar 2026 · lightfield.app

  • Tobira.ai730

    A network where AI agents find deals for their humans

    AI · Mar 2026 · tobira.ai

  • Switch from ChatGPT to Claude with import memory feature

    AI · Mar 2026 · claude.com

  • The AI assistant that already knows your work

    AI · Mar 2026 · littlebird.ai

  • Your AI Coworker that proactively executes tasks

    AI · Mar 2026 · viktor.com

  • Jupid664

    File your taxes with Claude Code

    Commerce · Mar 2026 · jupid.com