Technical hiring for engineering-heavy pipelines

Five-profile funnels, 9,000+ applicants per campus drive, and engineers who need to actually write working code. Goodfit adds a structured first filter so your TA team stops drowning in resumes.

solution.py
1def two_sum(nums, target):
2 seen = {}
3 for i, n in enumerate(nums):
4 if target - n in seen:
5 return [seen[target - n], i]
6 seen[n] = i
7 return []
8

Test Cases

Test 1

Public · 230ms

Test 2

Public · 180ms

Test 3

Hidden · Failed

Test 4

Hidden · Running

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Springworks logo
Bajaj Capital logo
Somany Ceramics logo
Zoko logo
PocketPills logo
Xcelore logo
Astuto logo
The Sleep Company logo
Hudle logo
Future Generali logo
Fluor logo
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Why this matters

Resume reviews do not work at this scale

Every applicant gets a short AI interview and a coding assessment at the top of the funnel. Engineers only see candidates who already demonstrated real ability. Campus drive volume becomes manageable and bench quality goes up.

Coding at scale

Real code execution, hidden test cases

15+ languages with real code execution. Hidden test cases catch edge cases that copy-paste solutions miss.

  • Full attempt history per candidate
  • Per-question time limits

AI voice interviews

Behavioral and role-fit signal in 15 minutes

Conversational voice interviews with role-specific follow-ups. Communication and problem decomposition scored with written reasoning.

Proctoring

Catches the cheating patterns that matter

Tab switches, copy-paste, face detection, and lip-sync analysis. Every flag timestamped. A 30-minute assessment reviewed in 3 minutes.

Pipeline fit

Connects to your existing ATS

Keka, Darwinbox, Zoho, and more via webhooks and API. Scorecards flow out, stage moves flow in.

15+

coding languages supported

12

integrity checks tracked

Webhooks + API

ATS and HRIS integrations

Per-question

time limits

Customer story · Xcelore

Ran 2,600+ AI interviews across 9,000+ applications for 5 tech profiles, saving roughly 6 weeks of TA and engineering time.

Whenever we post technical openings, we receive hundreds of applications for each role, and during campus drives it can reach close to a thousand applicants from a single college. Screening such a large number of candidates manually takes a lot of time for the recruitment team.
Sakshi Srivastava
Sakshi SrivastavaCampus Recruiter & Campus Relations, Xcelore, Xcelore
Read the full story

46 days

Recruiter screening time saved

2,600+

AI interviews conducted

See Goodfit in action

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