Listen to Her

Inspiration

Enterprise event programming is still stuck in the past—slow, manual, and biased. Booking the right speaker can take weeks, with no guarantees of fit or impact. Listen to Her started with one insight: companies aren’t just looking for speakers—they’re looking for outcomes. We saw a way to use AI to connect world-class women speakers to enterprises based on tone, topic, and business goals—not just keywords or clout.

What it does

Listen to Her is an AI-powered speaker matching platform. Enterprise teams input a short event brief—audience, tone, topics, and desired outcomes. Our platform generates a semantic embedding, queries Qdrant, and returns speakers ranked by strategic fit. One-click booking, post-event feedback, and performance analytics close the loop. Speakers also get prep tools and insights to help them win more gigs.

How we built it

OpenAI for text embedding of speaker bios and event briefs

Qdrant to store and search speaker vectors based on semantic similarity

Lovable for building a fast, functional frontend and booking flow

A lightweight backend (Python + FastAPI) to handle embedding logic and API calls We also preloaded the system with speaker data, sample clips, and enterprise mock briefs to simulate a real-world demo experience.

Challenges we ran into

Speaker data quality: Curating realistic speaker bios and tones for meaningful matches

Latency in embedding + vector search: Making OpenAI and Qdrant feel seamless in a real-time UX

Low-code integration: Lovable is powerful, but required creative workarounds for dynamic search and result rendering

Accomplishments that we're proud of

We built a working, searchable, AI-driven speaker marketplace in under 48 hours

Our matching system isn't just functional—it’s explainable and business-aligned

We shifted the DEI conversation from optics to outcomes, giving companies a practical tool instead of a checkbox

What we learned

Vector search and AI matching have massive untapped potential for B2B marketplaces

Buyers care about efficiency and alignment, not buzzwords

Real product thinking isn’t about building features—it’s about removing friction and delivering results users can measure

What's next for Listen to Her

Onboard 500 vetted speakers and 20 pilot enterprise clients

Expand speaker tooling: real-time coaching, talk analytics, and feedback loops

Integrate payments, contracts, and scheduling into the booking flow

Raise a pre-seed round to scale engineering and lock in enterprise sales