Winning the Reacher Track at the Nozomio Hackathon 🚀

Last Saturday I joined the Nozomio Hackathon without a team, without expectations, and honestly just looking for an excuse to get back into building again.

By the end of the night, my teammate Joaquin Llenado and I somehow ended up winning the Reacher track.

And honestly? The whole experience reminded me why I love this space so much.

The event brought together an incredible mix of builders, engineers, founders, creatives, operators, and researchers all experimenting with different approaches to AI agents and automation. The energy in the room felt contagious from the moment I walked in.

When the tracks were announced, choosing the Reacher track felt like a very obvious decision for me.

A huge part of my career has lived inside campaign analytics, reporting workflows, measurement strategy, operational processes, and cross-functional collaboration. I’ve spent years working across social analytics, business intelligence, digital strategy, and data operations, helping teams make sense of performance and turn data into actionable decisions. 

So naturally, the challenge quickly became:

What would campaign operations look like if AI agents could actually support the operational side of the workflow?

That’s where CampaignOS started.

Working alongside Joaquin was honestly one of the best parts of the experience. We approached the project from completely different angles, which made the collaboration work surprisingly well. I brought the operational and measurement perspective from years of working inside these systems, while he rapidly translated ideas into actual product functionality almost in real time.

Watching someone move that quickly from concept to execution was incredibly fun to experience.

What we built focused on automating some of the most repetitive parts of UGC campaign management:

• identifying campaign priorities

• adapting KPI frameworks based on objectives

• evaluating creator performance

• organizing reporting workflows

• generating scalable performance feedback

Not because automation replaces strategy, but because operational friction slows teams down constantly.

And honestly, that’s the part that excited me most.

For years I’ve seen teams spend countless hours manually building reports, reviewing creator performance, aligning metrics, and translating campaign results across stakeholders. Exploring how AI agents could help streamline those workflows felt incredibly natural given the kind of work I’ve done throughout my career.

The experience also brought back memories from my agency days and programs like the MIT Bootcamps — especially pitching in person again. After years of remote calls and virtual presentations, getting in front of judges and presenting live gave me a rush I genuinely hadn’t felt in a long time. 

I left the event feeling proud of myself for saying yes without overthinking it.

Proud that I threw myself back into an environment where things move fast, where ideas are messy, where collaboration matters, and where people are building simply because they’re excited about what’s possible.

And yes… somehow we also ended up winning our track 👀🚀

Huge thanks again to Joaquin for being an amazing teammate throughout the process, and to everyone who helped make the event happen.