Built for exam preparation
NeoLink analyzes and prioritizes study materials, identifying the most important concepts and topics to create a structured learning plan tailored to each learner's goals and progress.
Investor overview
Study Less.
Study Less.
Achieve More.
NeoLink is an AI-driven platform that helps you make smarter use of your time by understanding what you know, identifying what matters most, and adapting your study plan accordingly.
50%
forgotten within one hour
70%
forgotten within 24 hours
90%
forgotten within one week
What is Neo-Link?
NeoLink is an AI-powered learning platform designed to help students master a defined body of knowledge efficiently.
A memory engine at the core
Using FSRS and continuous performance tracking, NeoLink identifies each learner's strengths and weaknesses, adapting future study sessions to maximize learning efficiency.
Content and tools in one place
NeoLink offers daily flashcard-based learning, targeted review of mistakes, practice exams, realistic simulations, and innovative learning tools designed to strengthen knowledge and improve performance.
Learners forget most of what they study
Without structured review, memory fades within days. People invest hours in studying and still lose most of it before the exam.
Learners forget most of what they study
Most study material is forgotten within days- Spaced repetition is proven, yet adoption is low and partial
- Unfocused study experience and unnecessary load
A daily practice plan built around memory
Reviews scheduled by FSRS, just before you would forget- One focused place for books, practice and exams
- An AI assistant to explain what is unclear
How the platform works
From choosing your material to walking into the exam prepared, in six simple steps.
- 1
Pick your material
Add the courses and chapters you study from the library and set your exam date. Core books cover the syllabus, and extension books are there for learners who want more depth.
- 2
Get a daily plan
Every day, FSRS decides which questions to review and which new ones to learn, based on how well you remember each one. Sessions stay short and the plan adapts to you automatically.
- 3
Practice one card at a time
The study screen shows one card at a time. Read the question, answer it, then rate how well you knew it, from “didn’t know” to “easy”. That rating decides when the card returns.
- 4
Strengthen weak spots
Questions you struggled with return more often, until the topic really sticks. Material you already know appears less, so no time is wasted on what you have mastered.
- 5
Go deeper with books and AI
Stuck on a question? The built-in AI assistant explains it in context, without leaving the session. Extension books add depth wherever the core material is not enough.
- 6
Arrive exam-ready
Follow your progress, close the remaining gaps with exam simulations, and walk into the exam knowing exactly what you know and what you do not.
The FSRS Algorithm
Smarter spaced repetition
FSRS (Free Spaced Repetition Scheduler) is a modern, open-source algorithm that models how memory fades. It predicts how well a learner will remember each card and schedules the next review just before they would forget it, so they review less and remember more.
Predicts memory, per card
FSRS tracks each card’s difficulty, stability (how long a memory lasts) and retrievability (the chance of recalling it right now), learned from the learner’s own answers.
Fewer reviews, same retention
Reviews land at the moment recall starts to slip, not on fixed intervals. Compared with the legacy SM-2 algorithm, FSRS needs roughly 20–30% fewer reviews for the same results.
Adapts to every learner
No more one-size-fits-all intervals. The model fits itself to each learner’s review history, keeping daily practice short while knowledge lasts longer.
Frequently asked questions
Answers to the questions investors ask most about the product and the method.
What problem does Neo-Link solve?
Learners forget most of what they study within days. Neo-Link turns study time into lasting memory with a daily practice plan built on spaced repetition.
Does spaced repetition actually work?
Yes. Spaced repetition has been tested in research and shows a significant improvement in learning efficiency over time.
What is FSRS and why does it matter?
FSRS is a modern spaced-repetition algorithm (23.10+) that replaces the legacy SM-2 (1987). It needs roughly 20–30% fewer reviews, which also makes a freemium model practical.
Why start with the Knowledge Exam?
It is a small market, so large competitors have little motivation to enter. Users are used to paying for prep courses, the syllabus is fixed, and learners are highly motivated and consistent.
What is the business model?
A free track plus paid annual tracks with fixed pricing per semester. The annual track is the recommended one.
What is on the roadmap?
Build the MVP and run a pilot with a trial course (about 20–200 users). Then expand to more courses and the wider market, followed by a full launch and a dedicated app.
The team
The people building Neo-Link: product, algorithms, engineering and design.
Tzur
Founder & CEO
A short bio goes here
Harel
CTO · Algorithms & business development
A short bio goes here
Yehuda
Developer
A short bio goes here
Noga
Developer & data researcher
A short bio goes here
Aviad
Backend developer
A short bio goes here
Neria
Frontend developer
A short bio goes here
Kevin
UX/UI designer
A short bio goes here