Where Candidates Come From
The public talent data and continuously updated index Mira reasons across, how broad the coverage is, and how to read a profile's freshness.
Mira reasons over the best available public data about people and companies. It doesn't rely on a single source; it draws on several kinds of public professional data, then evaluates what it finds against your criteria. Here's where that data comes from.
What Mira draws on
| Source | What it covers |
|---|---|
| Public talent data | Aggregated from multiple public talent data sources, such as LinkedIn, X, GitHub, and Hugging Face, plus academic papers and company information. Covers industries, regions, and seniority levels globally. |
| Mira's own index | A continuously updated index of public professional profiles and job postings. |
| Mira Browser Extension | For sites behind a sign-in or not in the index, the extension navigates them in your own browser, on demand. |
Mira reasons across all of these together, so a candidate can surface from evidence spread over more than one source, not just whoever happens to match a single database.
How broad the coverage is
Coverage is global, across industries, regions, and seniority levels, from early-career to executive. Mira's index spans 4.5 billion public records. What matters for a given search is less the raw size and more whether the people who fit your criteria are represented, which is why reasoning over the evidence, rather than keyword-matching a single list, is what surfaces them.
How current the data is
Public data ages, people change jobs, and profiles aren't always updated the day they do. So Mira shows a freshness badge on each candidate, marking when that profile's data was last updated, for example "Updated · 3w ago", with the exact date on hover. When an update date isn't available, no badge is shown rather than a guess.
Use it as a signal: a very fresh profile is more likely to reflect someone's current role, while an older one is worth a second look or a quick confirmation before you reach out. You'll see the same badge on the candidate card and in the full profile.
What this means for your search
Because Mira reasons over evidence rather than pulling from one list, two things follow. If a search returns fewer people than you asked for, that reflects the available data for those criteria, not a hidden cap, loosen a requirement and you'll usually see more. And accuracy tracks how complete the public data is: the more a profile actually says, the more precisely Mira can assess it. For how that assessment works, see How Mira Matches Candidates.
What's next
- How Mira Matches Candidates: how Mira reasons over this data to score each candidate.
- Inside a Candidate Profile: what each field on a candidate means, including the freshness badge.
- Mira Browser Extension: reach sites and sign-ins that aren't in the index.
How Mira Matches Candidates
Why Mira reasons about your requirements instead of matching keywords, how it scores each candidate against your criteria with evidence, and where the technology comes from.
What Mira Can & Can't Do
The limits that make Mira trustworthy, what it reliably does, what it deliberately won't, and why the hiring decision always stays with you.