Real demand
It replaces the chore of hunting through scattered articles to find a show's best episodes by aggregating ratings into one objective ranking. Steady search growth and organic user voting show people keep coming back.
Real-revenue cases
A developer's side project that ranks the best episodes of any TV show, earning roughly $1,000 a month from display ads and streaming affiliate links.
01
It replaces the chore of hunting through scattered articles to find a show's best episodes by aggregating ratings into one objective ranking. Steady search growth and organic user voting show people keep coming back.
Visitors use the rankings for free; the site earns from display ads (Monumetric managed network) and affiliate commissions by sending users to Amazon, iTunes, Hulu, Vudu, and CBS All Access to buy or subscribe.
Digging through scattered articles and forum posts to find a show's best episodes
02
Posted pages for shows he knew well to the matching Reddit show subreddits, openly labeling the links as his own site, using the response to validate the idea.
03
The aggregate-public-data + SEO long-tail pages + affiliate monetization playbook transfers directly to AI tools: turn scattered public data (model benchmarks, tool comparisons) into structured pages, win long-tail search traffic, and monetize via affiliate or referral links.
04
Revenue basis · Founder self-reported, unaudited (see source page)
Revenue is founder self-reported (~$1,000/mo, page shows $1.3K), unaudited, no Stripe verification.
No breakdown of ad vs. affiliate revenue, nor conversion rates or average order value.
No data on acquisition cost, retention, or how user voting affects revenue.