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BootLoop is building the first AI agent to write and test firmware on real hardware. Existing AI coding assistants fail completely with embedded systems, but our agent ingests datasheets, schematics, and other design files to write firmware in your style and automatically test it on your hardware.

shared extracted concepts: firmware; shared product terms: write, test, firmware, real; same category: AI agents; shared affiliation: Y Combinator

Building out new LNG plants, HVAC systems, or semiconductor processes rely on hundreds of iterations of feasibility testing (through simulation or real-world lab tests) where different designs (combinations of equipment) and parameters are validated. The parameters are often locked in PDFs (datasheets, wiring diagrams, PFDs/P&IDs) which take thousands of hours to convert into CSVs / JSONs, and the simulators don't have an easy API to work with. Outerport bridges the gap by finding documents from

shared extracted concept terms: semiconductor; shared product terms: datasheet, test, equipment, real; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Saffron allows companies to quickly evaluate how well software engineers use AI to code. The way engineers write code has fundamentally changed, but the way companies evaluate them hasn't. Saffron gives teams full visibility into how candidates use AI agents to build, debug, and ship real features on an actual codebase. Saffron was founded by Robert Chondro (formerly MIT and Jane Street), Jerry Yao (Stanford and Jane Street), and Kazuma Choji (Harvey Mudd, published in NeurIPS and ICML), and is

shared product terms: write, code, debug, real; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

RunLocal’s AI agent is specialized in inference optimization and hardware acceleration for platforms like Nvidia Orin/Thor and Qualcomm. Under the hood, our agentic environment facilitates reliable hardware-in-the-loop experimentation and continuous learning. It tracks every experiment and continuously refines experimentation data into an understanding of what drives performance on your target hardware. This environment means that a generic coding agent (e.g. Codex or Claude Code) can experiment

shared product terms: code, hardware, loop, drive; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator

Create new slides or upgrade existing ones with AI that works natively inside PowerPoint and stays true to your company’s branding, templates, and standards. How Slidely AI is different - 1. Works directly in PowerPoint Native PPTX support — no HTML-to-PPT hacks, exports, or broken layouts. 2. Improves slides you already have Because it understands real PowerPoint files, Slidely AI can rewrite, redesign, and tighten existing decks — not just generate new ones. 3. Agentic, consulting-grade output

shared product terms: support, already, real, just; same category: AI agents; shared affiliation: Y Combinator

Decisional is the fastest way to build self healing automation agents that work with the apps you use. You just ask for an agent in natural language, it builds and tests its own workflow that it runs constantly in the background.

shared product terms: just, test, own, runs; same category: AI agents; shared affiliation: Y Combinator