Why speed matters
The fair ends at 5. For most teams, the real work starts then.
Hours of typing resumes into spreadsheets, guessing which face went with which conversation — while the strongest candidates hear back from faster teams. At a crowded fair, your best candidate talks to five companies in an hour. The one that follows up first, wins.
The prepared team
Clean candidate list before leaving the venue
Personalized follow-ups sent Sunday
Pipeline in the ATS by Monday morning
The manual team
Resumes in a tote bag, names half-remembered
Spreadsheet still being typed on Tuesday
Their best candidates already talking to someone faster
Friday floor to Monday pipeline
Review, shortlist, and follow up before the weekend ends.
Every capture lands in one pipeline — searchable, sortable by rating, with your booth notes attached. AI drafts personalized follow-ups from those notes, one candidate at a time or in batch, so your top picks hear from you first.
Follow-up drafts reference the actual conversation — your note about their project, not a mail-merge template.
ContactSchoolResumeNotesRatingSourceConsentExport status
Export readyCSV · Google Sheets · ATS
ATS-ready handoff
Keep your stack. Skip the cleanup.
Reddy doesn't ask your team to migrate anything. Export or sync clean candidate records — in the field format your team actually uses — into the workflow you already run.
One-click CSV and Google Sheets export, mapped to your columns
Direct ATS sync where configured — with per-candidate status you can audit
Every record carries consent context, so your team can use it with confidence
Amara Osei
Data Science · University of Illinois
“Built an experimentation pipeline at her co-op. Strong stats depth.”
Exported to SheetsFollow-up sent
Synced to SheetsNo cleanup needed
