Unicorn Lessons from RapidAPI’s Founder: A Conversation with Iddo Gino
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Manage episode 512891465 series 3669449
- How “Awesome APIs” (a GitHub repo) became RapidAPI’s interactive playground, marketplace, and eight-year scaling story, ending in a Nokia acquisition
- What high valuations really buy (credibility, recruiting) and why raising “too much” is a double-edged sword for efficiency
- A contrarian take on Anthropic’s Model Context Protocol (MCP): why reinventing interfaces may just create a second integration surface to maintain
- The boring fix that beats new protocols: clean REST/GraphQL, accurate OpenAPI specs, and docs that match reality
- Datawizz’s playbook: route requests to small, specialized models (and only fall back to big LLMs when needed) for 85–95% cost reductions
- How the router works in practice (OpenAI-compatible endpoint), when volume justifies specialization, and why clustering real traffic matters
- Edge & on-device AI: running custom adapters on iOS’s built-in models, Chrome’s Gemini Nano, and at the edge on Cloudflare AI Workers for latency, privacy, and cost wins
- “V1 of Rapid was just a GitHub repo called Awesome APIs.”
- “If LLMs can’t use your API, your developers probably can’t either, fix the API.”
- “MCP feels like reinventing APIs. In a few years it could be just as messy, and now you’re maintaining two surfaces.”
- “Our customers see 85–95% cost reduction by routing to small, specialized models.”
- “On-device is free, fast, and private.”
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6 episodes