Every influencer discovery platform leads with the same number. Hundreds of millions of creators indexed. It is the first line on the homepage and the first slide in the demo.
For a global consumer brand, that number matters. For most briefs — a national campaign, a regional launch, a category that is narrower than "lifestyle" — it predicts almost nothing about whether you will find the right people. What predicts that is whether the tool can filter accurately inside the slice you care about, which is a completely different property.
Why index size misleads
A creator is only a candidate if the tool can find them for your brief. That requires three things to be true at once: the creator is in the index, the attributes you filter on are accurate for them, and the search surface actually exposes those attributes.
Index size only speaks to the first. In practice the second is where searches fail.
Take a Romanian brief. A 350-million-profile index certainly contains the relevant Romanian creators. The question is whether the tool knows they are relevant — whether it has an audience-country estimate for a 40,000-follower Romanian creator that is good enough to filter on, or whether it is matching on a bio field and a language guess. In a large market, sloppy inference is masked by volume. In a smaller one, it is the whole result.
The other half of the problem is what comes back with each creator. A list of handles and follower counts is a starting point, not a shortlist. If the tool cannot tell you how a creator performs relative to their peers, you have moved the tab-hopping rather than removed it.
Six questions that actually predict fit
1. Does the country filter mean the creator or the audience? Ask directly, and ask how audience country is determined. "Inferred from a follower sample" is an honest answer. Silence, or a confident percentage with no methodology, is not. This one question separates tools more than any other. Why it matters so much.
2. What is the coverage floor in my market? Not the global index. Ask how many creators they have in your country, in your niche, above the follower threshold you use. Then run a search for a niche you know well and see whether the people you would expect are present. If you can name five creators who should be there and two are missing, you have learned more than any number on the homepage told you.
3. Is engagement compared to anything? A raw engagement rate is nearly useless. A rate expressed against the median for that niche, platform, market and follower tier is decision-grade. Ask which one you are getting.
4. How stale is the data? Ask when a typical profile was last refreshed, and what triggers a refresh. A tool that scrapes on demand and one that serves you a four-month-old snapshot look identical in a demo.
5. What does the export look like? You will hand something to a client. If the export is a CSV of handles, the last mile — the part clients actually pay for — is still manual.
6. What is the smallest plan that is genuinely usable? Many tools have an entry tier that excludes the filters or exports you need, so the real price is one tier up. Price the tier that does the job.
Where the main tools actually differ
Positioning honestly, because the audience for this article will check. Details, and especially pricing, change; verify before you buy.
Modash is built around scale and a straightforward interface, with an index in the hundreds of millions across Instagram, TikTok and YouTube, and strong integration with creator-program workflows. It is a good fit when you want a very large candidate pool and a simple path from discovery into running a program. Entry pricing has generally sat at a few hundred dollars a month, which is the main reason smaller agencies look elsewhere.
HypeAuditor is strongest on audience quality and fraud analysis, and covers more networks than most. If your primary anxiety is "is this audience real", it is the most direct answer on the market, and it has been doing that longer than most competitors have existed.
Heepsy occupies the accessible end: cheaper, simpler, good enough for straightforward briefs, with less analytical depth. For a small team running occasional campaigns it is often the sensible answer.
Kolsquare is European in orientation, including on the compliance questions a European client will eventually ask you, and sits toward the full-suite end — campaign management as well as discovery. Its index is much smaller than the discovery-first tools, which is a deliberate trade rather than a deficiency.
The pattern worth noticing: discovery-first tools optimise for pool size, full-suite tools optimise for workflow, and audit-first tools optimise for trust. Very few optimise for depth within a specific market, because that does not scale into a global sales pitch.
Where Lyren fits, and where it does not
Lyren is the depth-in-a-market option, and it is worth being explicit about the trade.
Lyren indexes far fewer creators than Modash or HypeAuditor. That is not a gap we intend to close, and if raw pool size across every country is your requirement, one of them is the better purchase. What Lyren does instead is treat audience market as the primary filter rather than creator location, score engagement against the niche median rather than a global average, and cluster a creator's content so you can see which themes actually outperform their own baseline — the "why they lead", not only the "who leads".
It is also not a campaign tool. No outreach inbox, no contracts, no payments, and none planned. It stops where the research stops.
Coverage today is Romania, with the rest of the EU following. Access is invite-only while that coverage is built out, which means the honest recommendation for a brief you have to fill this week is one of the tools above.
The test that beats every comparison table
Take a niche and a market you already know well. Search it in each tool on a trial. Then check two things: how many of the creators you would have named yourself came back, and how many of the results you would actually put in front of a client.
The first number tells you about coverage. The second tells you about precision, and it is the one that decides whether the tool saves you a day per brief or hands you a longer list to sort by hand.