Deep learning18:40Introducing
OpenLobe
Your personalised tool for learning with AI and YouTube.
Free during beta · Invite only
Built on YouTube
The best teachers are already on YouTube.
You just can't find them in the right order. Give OpenLobe a topic headline or a prompt in plain English, whether that's physics, quantum mechanics, business or anything else you're into. It lines up videos from creators like these so each one builds on the last.
Deep learning18:40
Physics33:01The Strangest Implication of Quantum Mechanics
Quantum mechanics21:18The Map of Quantum Physics
Chemistry25:16Stoichiometry Basic Introduction, Mole to Mole, Grams to Grams, Mole Ratio Practice Problems
Business32:22How to Get and Evaluate Startup Ideas | Startup School
Economics10:22Supply and Demand: Crash Course Economics #4
Linear algebra9:52Vectors | Chapter 1, Essence of linear algebra
Biology10:48How The Immune System ACTUALLY Works – IMMUNE
Relativity16:07The Geometry of Causality
Calculus7:16Derivative as a concept | Derivatives introduction | AP Calculus AB
Algorithms53:22Lecture 1: Algorithmic Thinking, Peak Finding
Statistics11:23Mean, Median, and Mode: Measures of Central Tendency
One line is enough
Real videos from public YouTube channels, shown as examples of what OpenLobe curates. The creators aren't affiliated with us.
What's in it
A path is more than a playlist.
The videos are the start. What makes it stick is everything wrapped around them, and all of this is in the beta right now.
It checks what you know first
A few questions before anything gets built. Tell it you’re intermediate and it takes your word. Get those questions wrong and it quietly rebuilds for where you actually are.
Videos matched to subtopics
Modules break into subtopics, and each subtopic gets the specific videos that cover it. Not a playlist of forty videos you’re left to sort out yourself.
A quiz at the end of every module
Scored multiple choice. Miss too many and you get a remedial round on the parts you missed, instead of being waved through to the next thing.
Practice you actually write
Open questions where you type the answer in your own words and get it marked with feedback. That’s the part multiple choice can’t really test.
A tutor that knows the module
Ask a doubt without setting the scene first. It already has the module, its subtopics and your level, so you can just ask the question.
Bring your own material
Paste YouTube links, playlists or PDFs and it builds the path around those. Useful when your lecturer already told you what to watch.
Plus the small stuffNotes per module, saved as you typeQuick Learn for one topic with no full pathYour level moves with your scoresDaily streak and XPSaved resources per moduleProgress kept across devices
Inside the beta
What it looks like once you're in.
No feature maze. You land on one question. What are we learning today? Everything else follows from your answer.
openlobe.app/beta
GOOD EVENING
What are we learning today?
quantum mechanics, from scratch…Build path
IN PROGRESS
Quantum mechanics64%
intermediate · 7 / 11 modules
Microeconomics27%
beginner · 3 / 11 modules
Linear algebra completed
01
Type a topic
A single word works. So does a full brief like “quantum mechanics, from scratch, exams in May”.
02
Take a short diagnostic
A few quick questions so it knows where you actually are, not where a syllabus assumes you are.
03
Work the modules
Each module is a handful of curated videos, practice questions, and an AI tutor for the parts that don’t click.
04
It adjusts as you go
Ace a quiz and it skips ahead. Struggle and the next modules get gentler. Streaks and XP keep you honest.
In build
Next up, it reads your module catalog.
Every university publishes a module catalog, usually a long PDF nobody opens twice. We're building import for exactly that. Drop in your catalog or a single module description PDF and OpenLobe works out the structure. It finds the modules, the topics and the order they're taught, then builds a learning path that follows your course instead of a generic syllabus.
CS_Module_Catalog_2026.pdf
CS201 · Data structures12 modules found
Weeks 1 to 2Arrays & complexity
Weeks 3 to 4Linked lists & stacks
Weeks 5 to 7Trees & graphs
Weeks 8 to 10Hashing & heaps
Weeks 11 to 12Sorting & revision
In development for the beta. Invite holders get it first.
The deal
Free while it's in beta.
Invite only, on purpose.
We're looking for beta testers. Students, people teaching themselves, nerds who study every week. Use OpenLobe for free and tell us what breaks. It isn't about being exclusive. We'd just rather have a hundred people who actually study than ten thousand who sign up and vanish.
No card. No tiers. Just an invite.
For NEET students
NEET now lives on ExamGraph.
Mock tests, past papers and chapter practice have moved to ExamGraph, our app built only for NEET.
Free Pro for everyone until 1 NovemberEvery topic test, all 15 full mock papers, every past paper and MITRA, the AI tutor. Sign in or sign up, tap Claim free Pro, and it is yours until 1 November. No card needed.
Practised NEET here? Pick up where you left off
- Go to examgraph.app/login.
- Sign in exactly as you do here: the Google button with the same Google account, or your email and password.
- Using Google? It asks once whether to continue to ExamGraph. Say yes; it is the same account.
- Your tests, mocks and progress up to 8 September are already waiting for you.
Forgot your password? Tap Forgot password? on the sign-in page. Joined OpenLobe after 8 September? Your account did not move over, so create one with Create one free or the Google button. Free Pro is yours to claim too.
Go to ExamGraph