Digital Builder

Choosing a niche is the decision that determines whether months of content work compound or evaporate — and the tools that inform it are subscription-gated and rate-limited. The commercial equivalent, digitalmaker.ai, caps its paid tier at 15 competitor scans a week and charges up to $149 a month for the privilege.

The deeper problem is what those tools display. Research products in this category habitually show confident, plausible-looking figures with no stated source, which is precisely how someone commits a year to a niche on the strength of a number nobody computed.

A local Express server and a vanilla-JS front end — no cloud, no database, no build step, no account. One typed topic fans out in parallel to four live public sources: a 42-query Google Autocomplete sweep, Google Trends through its undocumented widget-token flow, twelve months of real Wikipedia readership, and YouTube view and channel data parsed out of the public page payload.

Those four feed three sub-scores — demand, keyword breadth, competition — that combine into a 0–100 opportunity score, which is then run through a published-benchmark ad-rate table by niche and audience geography. Four generators can turn the result into an ebook, planner, spreadsheet, or script, and the prompt builder targets ten AI models across text, image, and video.

The rule the whole thing is built around: no mock data anywhere. Every research figure is fetched at request time, and when a source fails the interface names the source that failed rather than quietly substituting a plausible value. Google Trends rate-limits this address often, so demand degrades to live Wikipedia readership — and the report says which one it used.