Big incumbents and week-old challengers in one table, checked on the same schedule.
AppWatch is a public record of the app market. Big incumbents and week-old challengers sit in the same table, listed the same way and checked on the same schedule.
That is the whole idea: hold both kinds of record and you can watch a $20 tool turn up in a market a $2bn product owns, and put a date on the day it arrived. This page covers what is in the table, what we keep about each entry, and what we deliberately leave out.
Software products with a website you can buy from or sign up to. That is most of what people mean by an app: SaaS, AI tools, developer tools, mobile apps with a marketing site, and the established products they compete with.
One entry per domain. A product with a marketing site, a docs site and an app subdomain is one row, not three.
What it is called, what it does, what it charges, what it is built on, roughly how big the team is, where it is, and the day we first saw it. Then, from that day on, what changed: a price move, a redesign, a redirect, a stop.
The history is the part nobody can go back and reconstruct. What a product charges today is on its website; what it charged eight months ago is not.
People. We hold the professional handle a founder attached to their own public launch post and nothing else. Personal accounts, photos and personal life are out of scope, permanently.
Private companies with no public product, internal tools, and anything with no website to check. If we cannot look at it regularly we cannot keep it accurate, so we leave it out.
Honestly: incomplete, and lopsided. It grew from public launch feeds, so it is much stronger on new arrivals than on the established products they are arriving against. We are filling in the incumbent side, and until that is done a count of "apps in a category" is a count of what we have found, not of what exists.
Where a number would mislead, the page says so rather than printing it. That applies to every figure on the site.
How an app gets listed covers where entries come from. Reading a listing covers what each column means.