Finding Paid Chrome Extension Ideas in Local Browser Workflows
A public recap of a paid-signal research workflow that keeps the full opportunity list private.
Today's research focused on paid Chrome extension workflows that can be delivered locally inside the browser. The screening pass started with user scale, paid-signal confidence, and recent growth, then narrowed the list to products whose core value can be rebuilt with Manifest V3, content scripts, storage, or declarativeNetRequest.
That filter intentionally removes opportunities that look attractive but are poor fits for a fast independent MVP: full office-document editing, account-risk automation, ad bypassing, download bypassing, and cloud-heavy AI or translation products with ongoing inference costs.
The internal report keeps the candidate names, extension IDs, growth numbers, competitor links, and replica decisions. The public version only shares the method: confirm people already pay, check whether growth or rating pressure exists, then ask whether a narrower free product can solve one local job better.