
Fresh, delicious audience data on tap.
Who's watching, what they buy, which brands already own them — poured straight from 48M creators. The good stuff your current setup never served.
See who's watching, what they buy, and whether they'll convert — on 48M creators. Audience psychographics. Proprietary metrics. The intel your current platform doesn't have.
Maya Quinn, known online as MayaMakes, is a lifestyle and DIY creator whose channel blends craft tutorials, home styling, travel diaries, and warm everyday commentary. Her approachable, upbeat on-camera presence has built a loyal, highly engaged community that skews young and predominantly female across YouTube, TikTok, and Instagram. Maya is known for hands-on project content, collaborative hauls, and a steady posting rhythm that keeps audience retention strong across formats. Brand partnerships to date have leaned toward beauty, wellness, and home goods, with an emphasis on authentic, low-saturation integrations that fit naturally into the channel's tone.
Show moreA few customer logos you'll recognize.

Audience psychographics. Competitive playbooks. Market in numbers. The edge your competitors hope you never find.

Who's watching, what they buy, which brands already own them — poured straight from 48M creators. The good stuff your current setup never served.

Rosters, spend, content value, category shifts. Decoded. They have no idea it exists.

Toxic behavior, political landmines, racist comments — all flagged. Before you sign, not after.


Real people who know your account, on the other end when you need them. Held, not handled.
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Fifteen minutes. We'll tell you straight up if Streamforge can help.
Three ways to make it yours.

48M creators and the full audience behind every one of them. Search, vet, reach out, track campaigns, prove ROI — and look unreasonably prepared doing it.

Your competitors' influencer playbook — decoded, quantified, updated while you sleep. Rosters, spend, content value, category shifts.

Our entire brain, delivered through clean endpoints. A decade of data infrastructure your team doesn't have to build, maintain, or lose sleep over.
Here's what our clients have to say.
“The best tool for influencer discovery and demographics. Bar none.”

“Best on the market.”

“Effortless Influencer Discovery That Elevates Our Campaigns”

“Streamforge tells me if there's a match before I watch a single video.”

“The best influencer and audience insights we've ever seen.”

“The reporting tools are clear, providing live data on views, engagement, and clicks, making it easy to optimize campaigns.”

“Intuitive and user-friendly, making the whole process efficient and stress-free.”

“Intuitive Tool with Powerful Filtering Options”

“An Invaluable Tool with Outstanding Support”

Common questions
Scope, coverage, method, and how current any of it is — answered plainly, with the caveats included.
An influencer intelligence platform for creator discovery, audience analysis, competitive intelligence, campaign workflow, and data access by API. It has operated in influencer intelligence since 2018, and ships as three products: Workflow, Intelligence, and API.
Audience analysis is supported across YouTube, Twitch, TikTok, Instagram, and X. Coverage of individual fields varies by platform, because the platforms themselves expose different things.
Streamforge holds data on 48M creators. That is a count of creators, not a promise that every creator carries every optional audience, contact, or analysis field — which of those are present depends on the platform and the available evidence.
Creator analysis combines directly supported evidence from creator profiles, published content, and other public web sources with model-inferred qualitative details.
Streamforge has benchmarked its audience-analysis technique against first-party audience data from the platforms and found it to be highly accurate. Inferred detail is presented as inference rather than as measurement, so you can weigh it for yourself.
Freshness depends on the source, platform, creator, and field. Streamforge does not treat every field as universally daily; the right interpretation depends on what was measured and when it was observed.
There is a comparison page for each of them, all built to the same shape: a capability matrix, the themes that show up in public reviews, a time-to-value read, and a checklist you can use to verify any of it yourself.