Linkrunner raises $560k pre-seed to build an AI-driven MMP!

Linkrunner raises $560k pre-seed

Read more

Read more

Linkrunner raises $560k pre-seed to build an AI-driven MMP!

Easy peasy lemon-squeezy.
Shreyans Sancheti

Shreyans Sancheti

Reading time: 5 mins

Today we’re thrilled to share that Linkrunner has raised it’s first round of venture capital within just months of emerging from stealth, led by Titan Capital with participation from 2AM VC and Samir Sood!

When Darshil and I set out to build an AI-driven MMP in late 2024 we had no idea we would scale this much in just a few months. We just wanted to build something that we could use for ourselves at our previous venture and over time founders and marketers kept asking us if we could expand support for them too. We started off supporting only apps built in React Native but since then we have added SDK support for Flutter, Native Android, iOS, Expo and Unity.

Over the last few months, we have met 100s of consumer app founders, growth marketers, and UA specialists and almost all of them told us the same thing. Measurement of app ads is immensely expensive and difficult, so we set out to change that.

The first thing we did was make it super easy to integrate with Linkrunner.

It usually takes ~2–4 weeks and the bandwidth of 3–5 people to set up a new MMP platform. But with Linkrunner we’ve managed to integrate customers in under 30 mins, with our average time to integrate being about 60–90 mins. By relentlessly prioritising developer experience and having one of the lightest SDKs in the industry we were able to make our onboarding smooth. You can check out our docs at docs.linkrunner.io!

Next we went after pricing. In India, over 90% of the apps that are downloaded are unattributed, purely because the attribution cost as a percentage of CPI (Cost per install) doesn’t make sense.

In mature markets like the US, the average CPI is around $3–5 (It varies a lot depending on industry) so for MMPs charging $0.03–0.05 per install makes sense — roughly 1% of CPI.

But in India the average CPI is anywhere between INR 5–50 (for most industries), and MMPs are still charging the same prices per install which ends up being anywhere between 10–25% of CPI (Way too high!) Spending that much on attribution ends up bleeding the marketing budget and therefore most companies end up building a rough solution in-house. But building in house usually means you miss out on core features of an MMP such as sending conversion data back to ad networks for better optimisation or robust fraud protection features.

That’s the problem we’re solving. Making mobile measurement super easy and more affordable.

But we don’t want to just stop there. Today most companies have so much customer data but only end up using < 10% of the data to optimise their marketing spend. It’s because traditionally it’s hard to see all marketing data in one place, and the platforms that do unify marketing data, don’t really have any intelligence layers.

We want to enable every marketer to become a 10x marketer.

It’s been a tough journey, from integrating with major ad networks to building data infrastructure that can handle billions of events real time with low latency and low cost. Everyday we learn something new and we’re just getting started!

I’m grateful to our investors for believing in us and the vision, and for backing us when we were so early. Both Titan Capital and 2AM VC are second time investors in our ventures (Bluelearn & Linkrunner) and we couldn’t have asked for anyone better!

P.S: We’re looking to hire for 2 roles: cracked engineers and GTM/Sales wizards. If that’s you, then please reach out to me at shreyans@linkrunner.io

Empowering marketing teams to make better data driven decisions to accelerate app growth!

For support, email us at

Address: HustleHub Tech Park, sector 2, HSR Layout,
Bangalore, Karnataka 560102, India

Empowering marketing teams to make better data driven decisions to accelerate app growth!

For support, email us at

Address: HustleHub Tech Park, sector 2, HSR Layout,
Bangalore, Karnataka 560102, India