For coding clubs and career centers
Free interview prep for your members
LearningTo is a free website for interview prep: visual walkthroughs of data structures and algorithms, practice challenges with instant feedback in the browser, question banks with worked answers, and a study planner that matches a job posting to topics. It is built for students who want to get ready for software and AI interviews without buying a course.
What your members get
Nothing is charged to the club and nothing is charged to students. Every lesson, challenge, and question bank on the site is free to open.
Everything runs in the browser. Members open the link in any browser - phone or laptop - and start working through a topic.
Each data structure and algorithm topic is explained as a step-by-step walkthrough in plain English, so beginners are not dropped into dense textbook prose.
Members solve timed practice challenges in Python in the browser and see what passed or failed right away, plus question banks with worked answers.
A member can paste a real job posting and get a checklist of matching topics to study, without an account.
How to start
Post learningto.co in your club channel, newsletter, or workshop slide. That is the entire setup. Members land on the homepage and pick a topic.
A one-hour session works well: one visual walkthrough on a projector, then the matching practice challenges on laptops. The playground is a good warm-up.
Email learningto@duck.com and the founder will help you pick topics for your members' experience level and format for a session.
Questions, or want a topic list picked for your club? learningto@duck.com
Questions clubs ask
What does it cost?
Nothing, for the club or the students. The lessons, practice challenges, question banks, and study planner are free. Learning is not paywalled.
Do our members need accounts?
No. They can open and work through the material without one. A free account only tracks progress across visits.
Who is it for?
Students preparing for software engineering and AI engineering internship or job interviews. The material starts from first principles, so it works for members who have not taken an algorithms course yet as well as members who have.
What should a first session look like?
Keep it simple: open one visual topic together, walk through it, then let members try the practice challenges on their own. If you want a prepared pick of topics and challenges, email us and we will put one together.
Paste any job posting from your career fair feed into the study planner and see the topic checklist it returns.