Who it's for

One dataset, three audiences — deliberately. The free audience builds the data and the brand; the paid audiences fund it.

1. Mac users & gamers — free

People asking “will X run on my M-series Mac?” before they buy hardware, software, or a game. They expect this to be free (the whole compatibility space is), so it always will be on the website. This audience is the funnel and the credibility, not the revenue. The current traffic is dominated by game questions — people ask AI assistants about specific games (League of Legends, Cities: Skylines, Dota 2, GTA V), and the assistants fetch DoesItARM to answer.

2. AI agents & answer engines — API / MCP (planned)

ChatGPT, Perplexity, Claude and developer tools that need a current verdict to answer a user’s question. They already fetch the website ~3,800 times a day on users’ behalf. The planned API/MCP gives them a clean, queryable, machine-readable answer instead of a scraped page — and is where per-call or licensed revenue can appear. This audience’s willingness-to-pay is unproven, so it’s treated as upside, not the core business.

3. Enterprise IT & Apple MSPs — readiness product (planned)

The audience that actually pays. Teams managing fleets of Macs must audit their software estate before Rosetta 2 is removed in macOS 28 (fall 2027). They have budget, a hard deadline, and a real pain: “which of our apps and plugins break, and what do we do about each one?” This is the painkiller tier.

4. ISVs & creative studios — adjacent

Software vendors monitoring their own (and competitors’) native status, and creative studios drowning in Intel-only plugins (VST3 / AAX / AU). A high-pain vertical beachhead.

Who it is not for

• AI labs wanting bulk training data — they scrape for free and return almost nothing; not a paying customer.
• People wanting to download or stream the games themselves — DoesItARM publishes verdicts, not software.