Mockinto · EdTech · Series A
An AI interviewer that actually adapts to the candidate.
A multi-turn interview agent that adjusts difficulty in real time, scores answers against a rubric, and gives structured feedback in under two seconds.
47%
lift in user completion rate
3.1×
average sessions per user
<2s
p95 from question to feedback
EdTech · Series A
Mockinto
Client
Mockinto
EdTech · Series A
Headline metric
47%
lift in user completion rate
Deliverables
4
shipped to production
Stack
4+ tools
across the build
Challenge
Generic mock-interview tools didn't adapt to skill level, drained engagement after 2–3 sessions, and gave shallow feedback. Mockinto needed an interviewer that felt like a senior engineer in the room — not a chatbot answering scripted questions.
Approach
Built a Claude Sonnet agent with a domain-aware question bank, real-time difficulty adjustment based on answer scoring, and a structured feedback rubric grounded in RAG over their playbook. Shipped on Flutter with streaming responses and a custom eval harness covering 1,200 reference answers.
Outcome
47% lift in user completion, 3.1× average sessions per user, and the platform's first paid tier crossed $200k ARR within 90 days. Sub-2s p95 from question to feedback.
47% lift in user completion, 3. The team owned this end-to-end.
Mockinto
EdTech · Series A
lift in user completion rate
average sessions per user
p95 from question to feedback
What we shipped.
- Multi-turn interview agent
- Custom eval harness
- Flutter SDK
- Admin dashboard
The tools we used.
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