AI-powered matchmaking with the human in the loop: Connecting founders to tech talent

Matching the right tech talent with founders can be achieved with AI.

As a company which has spent the last few years building an AI-powered matchmaking platform for startups and tech talent, we’ve come to believe one thing very deeply: AI shouldn’t replace human instinct, it should amplify it.

When we started building our tool, we thought it would mostly be about matching based on tech stacks, such as React, Node.js, Python, Solidity. But as we dug deeper, we realised that the most resilient founder-developer relationships go well beyond hard skills. They hinge on shared purpose, personality fit, and even things like how someone thinks about risk or what drives them on a weekend.

That’s why we built a multi-layered matching algorithm that evaluates not just technical compatibility, but also alignment across industry interest, problem-solving approach, and personal motivators. We use natural language processing (NLP) to analyse bios, pitch decks, and intake forms. This helps extract subtle cues, like whether someone prefers working solo or in sprints, or whether they lean toward deep tech vs. quick iteration cycles.

On the backend, our platform applies cosine similarity and semantic embeddings to rank matches not just on keywords, but on contextual relevance. For example, two profiles might not mention “blockchain” at all, but both show a pattern of working on distributed systems with a trust-minimising architecture. That’s the kind of match a keyword-based filter would miss, but a context-aware AI can catch.

This is where AI truly enhances the process, by identifying meaningful connections faster, surfacing insights a human might overlook, and ensuring the initial shortlist is more aligned with the founder’s long-term vision.

Importantly, every match is scored but never auto approved. We keep a human in the loop. Founders and developers get transparent match rationales and can filter by what matters most to them, whether that’s a shared mission in climate tech or someone who thrives in simultaneous, remote teams.

We didn’t build this to replace recruiters or community leads; we built it to give them superpowers. Our goal is to save them from the heavy lifting of sorting through hundreds of profiles, so they can focus on what humans do best: build trust, assess chemistry, and support real partnerships.

In short: we built this platform not to replace the human touch, but to respect and strengthen it, with just the right amount of intelligence woven in.