While everyone obsesses over the latest LLM release, PromptLayer is quietly building the critical infrastructure that makes AI engineering actually work. This isn't another wrapper—it's the operating system for prompt management that serious AI teams can't live without.

"PromptLayer isn't chasing the AI hype cycle—it's building the plumbing that makes the hype cycle actually functional."

The company's tech stack tells a story of pragmatic engineering. They're not reinventing the wheel with cutting-edge frameworks—they're using battle-tested tools like jQuery, Tailwind CSS, and Bootstrap alongside modern approaches like Vite and GSAP. This isn't a team chasing shiny objects; it's a team shipping product. Their GitHub presence shows active library development, while their social profiles (Twitter, LinkedIn) demonstrate community engagement without the typical VC-funded hype machine.

• Revenue per employee: $100K (exceptionally efficient for early-stage)
• Traffic composition: 50% organic search (sustainable growth)
• Keyword strategy: Capturing competitor brand terms (Claude) for high-intent leads
• Team size: 10 employees (lean operations)
• Product focus: Prompt management + LLM observability (solving real pain points)