Vevos AI
From Weeks to Minutes, Automate Any Business Process.
Vevos AI launched on May 21, 2026 with 10 votes, #1,220 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Most automation tools make you learn BPMN, hire developers, and wait weeks. Vevos AI is different. Describe your workflow in plain English — our AI generates the BPMN model, writes the code, validates it, and deploys it live. Automatically. No notation skills. No developers. No waiting. Our Autonomous Agents don't assist — they execute. From model to production in minutes.
Transform your business processes with AI-powered BPMN modeling. Create, document, and optimize workflows with Vevos intelligent automation platform. Free trial available.
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AgenMar 2026 · agenhq.com · ▲138AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.


VelaneJul 2026 · velane.sh · ▲95n8n is built for humans dragging nodes on a canvas. That breaks down at B2B scale (embedding in a product, multi-tenant scalability, etc). n8n does have an MCP server so agents can create workflows too, but it outputs raw JSON. That's fine for n8n's engine, but painful for a coding agent (or a human reviewing its output) to read, write, diff, or debug. I'm building an alternative where workflows are authored by a coding agent in [a more dev-legible format] instead of JSON blobs, and execute it at scale.
Autohive – Build AI agents the easy way for everyday teams2025 · autohive.com · ▲29Build AI agents the easy way for everyday teamsAutohive gives every person the power to create and run AI agents in minutes, enabling you to get home by lunch.
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Source: Product Hunt launch ↗
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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