PitchPoint

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Our core features
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Inspiration

Imagine if you were an athlete at any level, but you couldn't train or practice. Only games. How good would you think you'd be? How difficult would it be to perform during high-stakes games?

This is the reality for salespeople around the world, especially for partnerships reps for sports teams. Without effective and inadequate practice, 79% of sales pitches fail. The sports partnerships industry is uniquely challenging, with 20-80% of untapped potential sponsorships with unrealized benefits and inefficient sponsorship processes. We want to build a system to give your reps more training reps!

What it does

We built PitchPoint, a tool that generates real-time mock sales, partnerships, and brand deal calls. It gives you realistic practice catered around the person you're talking to, so you can train and prepare yourself before the real deal.

Compared to other market alternatives, we uniquely dynamically generate the persona based on available market research on your prospect company.

How we built it

We built our frontend with NextJS, ReactJS, TypeScript, TailwindCSS, and HTML/CSS. We used Auth0 for authentication, and built our backend with Flask and Python. For the voice functionality, we used Cohere to generate the conversation, ElevenLabs for the voice functionality, Socket.io for the Websocket connection, and Gemini to generate the calling persona.