When we started Naftiko, we needed to understand the market we were entering. That meant getting clear on the market forces and the ideal customer profile, the segments and use cases, and translating the conversations I have been having into personas and problem statements. We also wanted to be honest about the non-functional market requirements, what success metrics would actually look like, and the assumptions I was making along the way.
With the ICP established, I set out to find some design partner leads. I started with Bloomberg, because it was the landscape I knew best. I pulled their job postings, press releases, and GitHub repositories, and evaluated the technological areas, services, tools, and standards Bloomberg is investing in. From there I expanded to 292 companies across 49 industries — which gave me an aggregate view of the top areas of investment, the top services, the top tools, and the top standards those companies are betting on.
From the job postings, press releases, and GitHub repos I developed a vocabulary of 44 signal groups to identify the meaningful signals of areas, services, tools, and standards being invested in within each company and industry. I applied that scoring to every company, scoring across all 44 areas of potential investment when it comes to integrating artificial intelligence into the enterprise. To help qualify the impact AI is having, I evaluated 26 individual waves that have come as part of the AI market shift, and considered the impact each group of waves is having, as well as the relationship between each wave and each company’s areas of investment, services, standards, and tooling applied to help integrate AI — and other applications — into business operations.
Each company has its own landing page with a supporting API and MCP — like EY — and so does the sector they operate within, like professional services. I do not actively publish all of the links to the nearly 300 companies, but I am happy to provide access on request — just email me at [email protected]. My goal is to use them to generate leads, drive conversations, and find other interesting approaches with the right partners. The data is available in aggregate across companies, but also per individual company and per individual industry, surfaced as HTML, Markdown, API, and MCP. I am looking for market data partners to help me further shape the data, the process, and the overall Naftiko Signals product.
But wait, there is more. All of the companies in Naftiko Signals — and the services they are investing in — originate from individual repos in the API Evangelist GitHub organization, where I regularly crawl for new APIs and gather machine-readable artifacts including, but not limited to, OpenAPI, AsyncAPI, JSON Schema, Plans, Pricing, Rate Limits, and Naftiko Capabilities. The API Evangelist crawler then feeds the APIs.io search engine, which I am indexing with 14,957 tags and aligning around Naftiko Capabilities. This is the endgame of my API Evangelist work that started in 2010, my APIs.io and APIs.json work that started in 2014, and now aligning all of it with the business outcomes Naftiko’s design partners, service partners, and market data partners are looking for.
One more thing — I am working on the Q2 edition, which covers the Fortune 1000. Let me know if you have questions, or if you would like to talk about becoming a Naftiko market data partner.
