A short piece of fiction, written by API Evangelist. The reader is imagined; the post, and every number and quotation from it, is real: "Three Hundred Eighty Companies Say Claude And One Hundred Forty-Two Say Anthropic," Kin Lane, October 21, 2026, https://apievangelist.com/2026/10/21/three-hundred-eighty-companies-say-claude-and-one-hundred-forty-two-say-anthropic/
Marisol writes job postings for a mid-sized engineering group. On Wednesday afternoon she was between drafts when a link to Kin Lane's post about the Q3 2026 Insights pull landed in her feed. She opened it expecting a ranking of AI companies. What she got was an argument about vocabulary.
The first number stopped her. Claude is named by 380 companies, and Anthropic, the company that makes it, by 142. She opened her open requisition and searched it. There was the sentence she had written two weeks earlier: familiarity with LLM providers such as Anthropic and OpenAI. She had copied it from a posting she admired and never asked what it meant.
The post says the vendor name shows up when the work is about choosing between models or integrating with them. Her team did neither. They sat in a coding assistant all day. The post puts it flatly: nobody writes "experience with Anthropic" when what they want is someone who uses Claude Code every day. She felt a little caught, the way you do when a stranger describes your habit accurately.
She did not agree with all of it. The part about the Fortune 1000 and the API providers bothered her, with 58 percent of the providers naming Claude against 33 percent of the larger companies. She wondered how much of that gap was just engineers writing their own postings while recruiters like her wrote the others. Then she read the line where the author says the provider side is 209 companies against 775, so it is a direction, not a measurement. That was honest, and it took away her objection without answering her question. She also felt some irritation at the framing. A posting that names a product can age badly. Tools get renamed and replaced, and a vendor name at least sits still. She typed that into a note to herself and left it there, unresolved.
What stayed with her was the warning near the end: "Count companies and you miss the products." She thought about the spreadsheet her own department kept of what tools candidates should know. Every row was a vendor.
She also took the caveat seriously, because it was easy to skip. The post says "This is hiring intent, not production use." A posting is a wish. Hers was a wish too, and not a precise one.
She did not rewrite the template or start a campaign. She went back to the open requisition and changed one line. Where it said familiarity with LLM providers such as Anthropic and OpenAI, it now said comfortable using AI coding assistants in daily work, with a short list of the two tools her team actually opened each morning. She kept the vendor sentence in a separate line about integrating with model APIs, because one engineer on the team did that work.
Then she sent the draft to the hiring manager with a single note: I made this match what you use. Tell me if I got it wrong.