The Mentaro product
A preparation program shaped around your interview
Mentaro turns a target role, technology stack, seniority, and interview date into a structured path through topics and cards. Practice actively, identify gaps, get concise AI help, and return to difficult questions at the right time.
How it works
From a concrete goal to deliberate daily practice
Mentaro keeps the preparation goal, topics, and cards connected. The result is a workflow that starts with what the interview demands and ends with a clear daily session, not an unprioritized collection of questions.
- 01
Define the goal
Choose the role, seniority, technologies, and timeline that describe the interview ahead.
- 02
Shape the program
Confirm the relevant topics, their importance, target depth, and question limits before activating the plan.
- 03
Practice and assess
Answer cards in focused sessions and record how well you knew each answer instead of passively reading it.
- 04
Close gaps and review
Use contextual explanations when needed, then revisit uncertain cards through spaced repetition.
Current capabilities
The working tools behind the preparation loop
Every capability below is part of the current product and serves the same purpose: helping you understand what to study, practice it actively, and make weak areas measurable.
Personalized preparation programs
Build a focused program around your target role, seniority, technology stack, and interview date. Mentaro turns those choices into a clear set of topics with an appropriate depth for each one.
Technical practice sessions
Work through question-based sessions designed for active recall. Each card asks you to form an answer first, then record how confidently you handled it.
Knowledge-gap tracking
Self-assess every answer as I don’t know, Partially, or Confident. Mentaro uses that signal to keep difficult questions visible and show where more practice is needed.
AI explanations
Open a contextual explanation when a question exposes a gap. The AI tutor stays anchored to the current card, topic, target depth, and preparation goal.
Spaced repetition
Return to difficult cards on an adaptive schedule. Review intervals respond to your assessment history so uncertain answers come back sooner and confident answers spread out over time.
Progress tracking
See learning activity, topic coverage, completed cards, and the work still ahead. Progress is stored separately for each preparation goal, even when cards are reused.
Inside Mentaro
Follow the real product workflow
These screens show the working experience from initial goal setup through a personalized program, daily practice, AI-supported learning, and progress review.
Start with the interview you are preparing for
Create a preparation goal by choosing a specialization, seniority, target role, and relevant technologies. This context gives the program a concrete destination instead of treating every interview as the same generic syllabus.
Fit the plan to your available time
Set the expected interview date and a sustainable daily intensity. Mentaro uses the timeline to frame the preparation workload, so the daily plan reflects how much time you can realistically invest.
Confirm topics and target depth
Review the proposed program before studying. You remain in control of which topics are enabled, how important each topic is, and whether the target depth should cover fundamentals, practical work, advanced concepts, or expert-level reasoning.
Know exactly what to study today
The daily plan combines new questions with cards due for review and shows the estimated session time. Difficult carry-over work is kept visible while new material continues across the enabled topics.
Keep one active goal in focus
Your active preparation goal keeps the role and technology stack close to the learning workflow. Other goals can be paused or completed without mixing their topic settings and card progress into the current plan.
Practice by answering before revealing help
A learning session presents one technical question at a time with its topic, depth, and session progress. After forming an answer, assess it honestly as I don’t know, Partially, or Confident to drive the next review interval.
Turn uncertainty into a short learning moment
When a question reveals a gap, ask for an explanation without leaving the session. The AI tutor works in the context of that specific card and can continue the conversation when you need to clarify the idea or test your understanding.
See coverage, activity, and remaining work
The progress view brings together learning activity, topic coverage, and the card pipeline. It helps you distinguish steady progress from weak areas that still need attention before the interview.
Product walkthrough
See the preparation flow as one connected experience
Follow Mentaro from preparation goal setup through a focused learning session, an AI explanation, and progress tracking.
Start with a question
Experience the learning session, then build your own plan
Try six advanced Node.js and TypeScript cards in the public demo, or create a preparation goal for your role and interview date.