How Turbolearn Grew from $40K to $170K MRR in 5 Months

The Challenge

Turbolearn is an AI study tool helping students with their learning. The app had already established product-market fit and reached approximately $40K in monthly recurring revenue, but the team faced a challenge as it looked to grow further.

They needed more creators than they could realistically hire, train, and manage internally. Growth was being limited by creator operations rather than the product itself.

The goal was to scale content production and reach more students without building an entire creator operation in-house.

What We Did

We built and managed a creator programme for Turbolearn, taking care of creator recruitment, training, content production, and testing.

Creator System

We hired and trained creators at scale, focusing on people who could create content relevant to a student audience.

This gave Turbolearn the capacity to produce content consistently without having to manage the creators themselves.

Content Testing

We launched 10,800 posts across different hooks and formats, testing creative approaches to see what resonated with the audience.

Optimisation

We identified winning creative and moved it into paid ads, allowing Turbolearn to make further use of content that had already performed well.

The Results

Over five months, Turbolearn's monthly recurring revenue grew from $40K to $170K, reaching approximately $2M in annual recurring revenue by month five.

Alongside that growth, Turbolearn recorded 500,000 active users and approximately 25,000 sign-ups per week.

Our creator programme generated 120.8 million views across 10,800 published posts.

Business growth | $40K to $170K MRR in five months

Annual recurring revenue | Approximately $2M by month five

Active users | 500,000

Weekly sign-ups | Approximately 25,000

Creator campaign views | 120.8M

Posts published | 10,800

The Learning

The biggest lesson from Turbolearn was the value of having a managed creator team.

We handled creator hiring, training, and ongoing content production, giving Turbolearn the capacity to scale its creator activity without building the operation in-house.

It also meant the team could use the creative that performed well organically in its paid campaigns, extending the value of the content beyond its initial distribution.