Learn. Practice. Build. Prove. Get Discovered.

Discover verified software, AI, and backend engineering talent based on demonstrated skills, evaluated coding challenges, and genuine production deliverables — NOT merely course completion.

Post Role Requirements

0% Fake Scores

Transparent 4-pillar weighting. “Not enough evidence yet” enforced when evidence < 2.

100% Opt-In

Students choose when to be discoverable. DPDP affirmative consent enforced server-side.

Zero PII Leakage

Phone & email hidden until student explicitly accepts your contact request.

Real Deliverables

Inspect GitHub repositories, architecture notes, and passing challenge evaluations.

Transparent Evaluation

The 4 Pillars of Demonstrated Skill Scoring

Course completion and video watch time award zero points. A candidate’s score reflects only verifiable proof.

30%

Assessments

Server-evaluated diagnostic quizzes and technical checkpoints covering core fundamentals.

20%

Coding Challenges

Algorithmic and systems problem solving tested against automated unit test suites in sandbox.

30%

Projects

Full capstone and microservices deliverables, autonomous AI agents, and architectural deliverables.

20%

Practical Assessment

Timed Module 10 practical engineering challenges evaluating code quality and design choices.

Controlled, Privacy-Preserving Recruiter Workflow

Zero unsolicited spam. High-signal candidate interactions with mutual consent.

Search Demonstrated Talent

Filter by skill scores, verified project counts, and coding challenge performance. Candidate contact info is strictly hidden.

Inspect Real Proof

Review GitHub code repositories, AI agent tool architectures, and challenge rubrics before taking any action.

Controlled Outreach

Send a personalized contact request. Once the candidate explicitly accepts, their email address is securely unmasked.