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 public platforms such as LinkedIn, X, GitHub, and Hugging Face, plus academic papers and company information, and from data providers such as Exa, Apollo, and RocketReach. |
| MiraDay'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. MiraDay's index spans 4.5 billion public records. For any one search, what matters is whether the people who fit your criteria are in the data, not the raw size.
How current the data is
Public data ages: people change jobs, and profiles aren't always updated the day they do. When you open a search step in the conversation, each person in that step's results shows a freshness badge marking when their 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, and profiles updated within the last day don't show one either.
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.
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, it's because fewer people in the available data met your must-have requirements, not because of 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 MiraDay Matches Candidates.
What's next
- How MiraDay Matches Candidates: how Mira reasons over this data to score each candidate.
- Inside a Candidate Profile: what each field on a candidate means.
- Mira Browser Extension: reach sites and sign-ins that aren't in the index.
How MiraDay 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 MiraDay Can & Can't Do
The limits that make MiraDay trustworthy, what it reliably does, what it deliberately won't, and why the hiring decision always stays with you.