Case study

TestCrac

Company-specific technical mock interviews and career courses, run by engineers who work at the companies being interviewed for.

LMSMock interviewsAI feedbackPayments

Built with: Web-based mock interview system · LMS · AI feedback and analytics · Payment gateway

50+: Mock interviews conducted
85%: Reported better preparation and confidence
45+: Students in the first live MLOps batch

The problem

Fresh graduates and working professionals in Bangladesh struggle with technical interviews for roles like web developer, app developer, software engineer, machine learning engineer and backend engineer.

Local companies use hiring approaches that generic preparation material does not cover, and there is no structured mock interview platform tailored to a specific role, industry or company.

What we deployed

Mock interviews conducted by professionals working at top companies, focused on company-specific and position-specific requirements.

Career-based technical courses including MLOps, LLM/NLP and research methodology, led by working practitioners.

Career development sessions covering both technical and soft skills for longer-term preparation.

What changed

Over 50 mock interviews conducted in the pilot, with 85% of participants reporting improved preparation and confidence.

The first live MLOps course completed with more than 45 students in the opening batch and strong feedback.

Commercial model

Initial margins are projected at 25–40% during the pilot phase.

Technology used

A web-based mock interview system, a learning management system for the courses, AI-powered feedback and analytics on candidate performance, and a secure payment gateway.

Business growth potential

Bangladesh produces thousands of computer science graduates a year and no platform offers company-specific mock interviews. The addressable groups are freshers preparing for a first job, professionals switching into ML, AI or software engineering, and experienced engineers targeting senior roles at top companies.

What comes next

Widening the catalogue beyond software and ML into cybersecurity, frontend engineering and cloud computing.

Market differentiation

Domain-specific rather than generic: interviews and courses shaped to particular industries. Instructors are practising ML engineers, AI specialists and lecturers. The offer combines technical training with career and communication coaching rather than treating them separately.

Market strategy

Exclusive partnerships with universities and training institutes, and a delivery model that scales, online live sessions, recorded content and mock interview simulations rather than one-to-one coaching alone.

Feedback

85% of pilot participants confirmed they benefited from the mock interviews and courses. The first live MLOps batch reviewed the course well for being practical and interactive rather than lecture-led.

More work

Other things we have shipped