Stop collecting resources.
Start following a plan.
Tell APEX what you are preparing for and by when. It finds the best material that actually exists, then maps every day between now and your deadline around the hours you really have.
- Exams and career prep
- Real, verified resources
- Free to start
Timing closure
2h 40m- Learn55m
Setup & hold time violations
- Practice40m
Timing problem set 3
- Review15m
Recall: Metastability
- Learn50m
Clock domain crossing — part 1
Three answers, then a plan you can actually run
Setup takes about a minute. Building the map takes about two.
- 01
Name the goal
GATE ECE, AWS Solutions Architect, or "become an ML engineer". APEX works out whether it is an exam or a role and asks the one or two follow-ups that actually change the plan.
- 02
Give it your real constraints
Deadline, weekday minutes, weekend minutes, rest days. It plans against what you have, not against an idealised eight-hour day.
- 03
Follow Today, every day
Open the app, do what it says, tick it off. Review, checkpoints and mocks are already placed. When you slip, it re-cuts the schedule.
Five surfaces, one job each
No dashboard sprawl. Each screen answers exactly one question.
Today
One screen that answers "what do I study right now" — with the resource already open.
Map
Every day from now to your deadline, laid out. Units, topics, checkpoints, mocks.
Library
Real lectures, docs and papers — ranked by watch data, never invented by a model.
Drill
Spaced-repetition questions generated from your own topics, scheduled by SM-2.
Progress
Streaks, mastery per topic, and an honest read on whether you will finish in time.
Coach
Knows your whole plan and where you are in it. Ask it to explain, unstick you, or tell you honestly whether you are on track.
The plan is computed, not improvised
Asking a model to write six months of tasks gives you a shallow list with the arithmetic wrong. Scheduling is a solvable problem, so APEX solves it.
It respects the hours you actually have
You give it weekday and weekend minutes. No day is ever scheduled past its capacity, so the plan stays followable instead of aspirational.
Everything comes back
Each topic returns at 2, 7 and 21 days, with unit checkpoints and full mocks spaced through the timeline. Learning once is not learning.
Every link is real
Resources are fetched from live APIs and ranked on duration, engagement and authority. A language model never writes a URL.
It bends when you slip
Fall behind and one tap re-cuts the remaining days around what is left — rather than leaving you with a wall of overdue tasks.
What are you preparing for?
Name it, give it a deadline, and have a day-by-day map in a couple of minutes.
Build my prep map