Inspiration

I work as a tutor at two companies and every week I felt the same frustration: parents had no real idea how their child was going, and I had no good way to tell them. Writing individual updates after every session was time consuming and inconsistent. I figured if I was feeling this, every other tutor was too.

What it does

TutorTrackr lets tutors log session notes and rate students on effort, understanding and engagement. AI instantly generates a clean progress summary for parents. Over time it builds a visual analytics dashboard showing each student's progress across sessions, with AI recommendations based on patterns.

How we built it

Lovable for the frontend, built on a React and TypeScript frontend with Supabase handling authentication and database, and the Claude API powering the AI layer.

Challenges we ran into

Getting the AI summaries to sound natural rather than robotic, as well as tweaking tone to suit needs of parents. Also making sure session data was properly private between tutors using Supabase row level security.

Accomplishments that we're proud of

Within days of launch, TutorTrackr was being live-tested by an independent tutor who validated the core AI summary feature as genuinely useful, particularly for parent communication.

What we learned

Validating whether people actually find the product valuable is extremely important, and becomes easier when the creator is also a stakeholder.

What's next for TutorTrackr

Getting it in front of real tutoring companies for testing, adding email delivery to parents, and eventually a parent portal so they can log in and see their child's full progress history. Rolling out the monetisation plan once these have been completed.

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