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Expert vettingCheck domain depth before an expert joins a project.
ApplicationsInterview every accelerator or fellowship applicant.
Hiring at volumeA first-round interview for everyone who applies.
Technical interviewsA coding task, then a probe on the trade-offs.
Customer researchDiscovery calls, concept tests and win-loss interviews.
People teams30-day check-ins, engagement and exit interviews.
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Tracy AI Interviewer
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Expert vettingApplicationsHiring at volumeTechnical interviewsCustomer researchPeople teams
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Use cases

Any interview you run more than twice.

One interviewer that follows up in the person’s field, whether they are an engineer, a founder or a customer.

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Expert vetting

Vet experts in their own field

Tracy asks a chemist about their method and an engineer about trade-offs, then asks why.

Expert networksAI data labsTalent platforms
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Expert vetting · Analytical chemistLive 04:12
Blurred example
Rohan
TRACY
TRACYFollow-up

Recovery came in low on batch two. What did you change?

Recording · transcript onNo tab changes · Face in frame
Applications

Interview every applicant, not the shortlist

Every founder or fellow gets a real interview, so the partner hours go to the final round.

AcceleratorsVC programmesFellowshipsScholarships
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Cohort 12 applications · FounderLive 04:12
Blurred example
Mara
TRACY
TRACYFollow-up

How many clinics renewed after the first three months?

Recording · transcript onNo tab changes · Face in frame
Hiring at volume

Everyone who applies gets an interview

Each applicant starts when they click the link, at any hour, with no recruiter and no calendar.

In-house talent teamsStaffing firmsGraduate programmes
See hiring at volume
Interviews · Senior data engineer5 today
Tracy
InterviewsResultsQuestionsInvitesSettings
Started on click, at any hour. No calendar.
PersonStartedStatus
NANina Alvarez02:14Result ready
TKTomasz Kowal06:40Result ready
AOAma Owusu11:05In interview
LSLeo Sato19:22Invited
PDPriya Das23:48Rejoined, finished
Technical interviews

A coding task, then the why

Tracy can introduce a coding task and probe the trade-offs behind the answer.

Engineering teamsAI labsTech hiring platforms
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Coding task · Remove duplicate eventsLive 18:05
1def dedupe(events):
2 seen = set()
3 out = []
4 for e in events:
5 if e.id in seen:
6 continue
7 seen.add(e.id)
8 out.append(e)
9 return out
10
11# 2M events a day, ids are UUIDs
TracyThat works. The set grows with every event. What happens on day thirty?
TomaszMemory keeps climbing. I would keep a window of ids, or a Bloom filter.
Tracy · Follow-upA Bloom filter can say yes when the answer is no. Which events would you drop by mistake?
Customer research

Discovery calls without the calendar

Run discovery, concept tests and win-loss interviews with follow-ups that find the reason.

Product teamsResearch teamsFounders
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Discovery interviews · Finance leads18 finished
What people said, with the words behind it
Month-end close takes too long

“We reconcile in three tools and the export breaks every quarter.”

03:1011 of 18 people
Approvals happen in chat

“Half our approvals are a thumbs-up in a chat thread.”

07:447 of 18 people
Follow-up that found the reason

“Why chat?” · “Because the approver is never at a desk.”

08:02Follow-up
People teams

Hear what people actually think

Check-ins and exit interviews where a vague answer gets a kind, sharper question.

HR teamsPeople operationsTeam leads
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Exit interview · Support teamLive 06:40
Tracy
InterviewsResultsQuestionsInvitesSettings
QuestionWhat made you decide to leave?
AnswerMostly the schedule.
Follow-upWhat about the schedule? The hours, or how they were set?
AnswerShifts were posted two days ahead, so I could never plan anything.
DeeperLayer 3What would have made you stay?
Waiting for the end of the thought · longer pause allowed on hard questions

Your own question set works too: due diligence, scholarships, vendor intake, story capture.

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Tracy AI Interviewer

Video interviews that follow up in the person's own field, with evidence behind every result.

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