Inside a Candidate Profile

Every candidate in your pool comes with a profile built for your search. Each profile is a single person: Mira merges the same person found across multiple public sources into one candidate, so you won't see duplicates, and the profile keeps filling in as more is gathered from those sources. Here's how to read it and judge fit.

What's on a candidate card

In the results panel, each candidate shows as a card with:

• Header: name, a freshness badge showing when the profile data was last updated, and clickable source links to the person's profiles across platforms like LinkedIn, GitHub, Hugging Face, and X (Twitter), plus the recruiting platforms they were found on, wherever that data exists.
• Location.
• Current role: title, company, and dates.
• Highest education: degree, school, field, and years.
• A Qualifications preview with the overall fit label, showing the top requirements with an option to expand the rest.

Click a card to open the full profile. It adds an About summary, the full per-requirement assessment, complete work experience and education, skills, and a More section that pulls together corroborating evidence from the web and news — article titles, relevant quotes, and publish dates — alongside public profiles from platforms like GitHub and Hugging Face.

The results panel can also show these candidates in a List view (a compact table) instead of cards, useful for scanning many at once. Switch layouts with the view toggle at the top of the panel.

The fit label

Each candidate carries a color-coded fit label that sums up how well they match your search:

• Good Match (green): the strongest matches against your requirements.
• Partial Match (yellow): partial matches worth a look.
• Low Match (grey): the furthest-out candidates, weakest against your requirements.

Candidates are ordered by fit, so the strongest matches sit at the top.

The Qualifications assessment

Below the label, the Qualifications breaks down how the candidate measures up to your must-haves, one requirement at a time. For each, Mira marks whether the candidate meets it, where the evidence is thin, or where they fall short, with the evidence behind each. It's written for your specific search, not a generic bio.

The full profile shows every requirement; the card shows the top few, with an option to expand the rest.

How to evaluate a candidate

The label and Qualifications are a fast read. Before you decide, look deeper:

• Look beyond titles. The same title means different things at different companies. "Senior Engineer" at a 10-person startup is a very different role from the same title at a large company. Use company context to read the real scope.
• Check the career trajectory. Progression speed and the types of companies across roles say a lot. Someone who moved enterprise, then startup, then growth-stage has a different profile from someone who stayed in one setting.
• Use the Qualifications as a starting point. It highlights what's most relevant to your search, then read the full work history and education for the nuance it can't capture.

Contacting candidates

Every card carries clickable source links to the person's profiles — LinkedIn, GitHub, Hugging Face, X (Twitter), and the recruiting platforms they were found on — wherever that data exists. Reveal contact details right from the card, or from the full profile, by clicking Get Email or Get Phone. To do several at once, select candidates with their checkboxes and reveal email and phone in bulk. Revealing uses credits, and phone costs more than email.

Save a candidate

To keep someone beyond this search, click Add to contacts on their card, or select several with their checkboxes to save them at once. They're added to Contacts, your workspace-level list, where you can enrich them and keep them up to date.

What's next

• Refining Your Search: sharpen the pool by conversation.
• Contacts: keep and organize the people you save.
• Export & Share: reveal contacts and export the pool.