iOrchestra AI Hardware Engineers
Prompt to production-ready Hardware designs for manufacture
iOrchestra AI Hardware Engineers launched on May 8, 2026 with 95 votes, #350 of 20,538 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
What it does
The platform that takes hardware engineers from a text prompt to a production-ready design in minutes not weeks Describe what you want. Our AI agents generate the PCB layout, schematic, mechanical design, and industrial design, across electrical, mechanical, thermal, and systems engineering disciplines. Then simulate it, iterate on it, auto-generate the Bill of Materials, and send it straight to manufacture The gap between idea and production hardware used to take months. We're making it minutes
Does a similar job
all alternatives →
AutonomywareSep 2026 · autonomyware.ai · ▲203Autonomyware turns your idea into an engineered physical product. Start with your vision and let autonomous AI handle the engineering process from start to finish. Describe what you want to create, then proceed from product definition through architecture, risk assessment, CAD, B
Build circuit boards faster with computer vision2017 · snapeda.com · ▲124Automatically build parts with computer vision.


Prompt EngineerJan 2026 · geniuscue.com · ▲6AI Prompt Engineering Platform for Creators & Developers
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com