Depends which part you're solving. For audience fraud-detection + income estimates, the real tools are Modash, HypeAuditor, and Upfluence — they score audience authenticity and estimate earnings, filterable by category. Favikon's fine for discovery but thinner on fraud.
For discovery by actual performance (not just follower count), here's a different approach I use. I run a tool called Hooklayer as an MCP server inside Claude, so I can just ask in plain language and it pulls live data. Example — I gave it:
and it pulled back real creators ranked by an engagement score (weighting saves + shares heavily since those signal real intent, not vanity likes). A sample of what came back:
- u/kthru**.12** — 101K views, 18K likes (huge ratio), moisturizer reviews
- u/sydneyheinemann — 180K views, 25K likes, routine content
- u/sidandlisten — 177K views, ~20K likes, barrier-repair niche
- u/charinecheungg — barrier-repair focused, tight niche
- u/drchimcreates — credentialed K-beauty derm
The small-but-sticky accounts (high save/like ratio, mid reach) are usually the better brand bet — they convert better and cost less than someone with 2M dead-engagement views.
It won't do the bot-audit or income side — pair it with one of the three above for that — but for surfacing niche creators fast, running it conversationally in Claude beats clicking through a dashboard. Happy to run your exact category if useful.