Thita.ai

Thita.ai is a career tool. An interview prep platform for engineers combining live voice AI mock interviews, a line-anchored code coach with staged hints, 99 animated DSA patterns, 90-day roadmaps and scored post-round reports.

Thita.ai is an interview preparation platform built around a structured loop: learn a pattern, practise it in a real editor, rehearse it in a spoken mock round, then review a scored report. The core curriculum is a set of 99 DSA patterns, each presented with step-by-step animations that sync pointers and window boundaries to the code, alongside written explanations, diagrams and short knowledge checks. The platform says it has prepared more than 30,000 engineers and points to candidates heading to Google, Amazon, Meta, Microsoft, Apple, Netflix, Stripe and Uber. The coaching layer is where the product differs from a problem bank. A line-anchored AI coach attaches to the exact line where a solution breaks and releases hints in stages: a nudge first, then a pointer to the faulty line, then broader steps. A full solution is withheld until the user has run code once, and even then the fix is written by the learner. The code practice editor runs six languages (Python, Java, C++, JavaScript, Go, TypeScript) against sample, custom and hidden test cases, and keeps version history so a corrected attempt can be compared with the original. A separate 1:1 AI Coach offers live voice tutoring in several teaching styles and draws diagrams, code, math and notes on a shared canvas. The rehearsal side is a live voice interviewer that asks follow-ups while the candidate codes and explains, using a code editor, design canvas and notes. Rounds cover technical and behavioral formats, and each finishes with a score plus sub-scores for communication, problem solving and trade-offs, a timed record of key moments and a specific gap to work on next. Two 90-day roadmaps (DSA Interview, and AI, ML and LLM) order the work day by day with progress tracking and certificates, and pattern sheets extend the same format to system design, LLD/OOD, data science and product roles. Thita suits candidates preparing for engineering loops at product companies, especially people with full-time jobs who cannot schedule peer mocks. It is heavier and more directive than a raw problem archive, and its realistic competitor is a human mock partner plus a paid coach, both of which cost more per hour.