#125 - Exa vs ChatGPT: Building Bespoke Beaver – AI-Powered X Persona App | Kirill Spitsyn

About this episode

The episode explores the development of the AI-powered app Bespoke Beaver, discussing its features and the technologies used.

In this episode of the Azizi Podcast, host Samir Azizi is joined by developer Kirill Spitsyn to explore the development journey behind Bespoke Beaver — a fun and functional AI-powered app created by the Toronto DAO team. This tool scrapes your Twitter persona and recommends 5 tailored locations in Toronto based on your online traits, using Exa and ChatGPT. 🔍 In this episode: - Exa vs ChatGPT – performance, reliability, and use cases- Inside the 3-Hour Dev Challenge that kickstarted the app- Tech breakdown: Exa web scraping, ChatGPT for persona modeling, Google Maps API for location plotting- Challenges with AI accuracy, costs, and output formatting- Backend strategy: caching, defaults, and balancing speed with UX- Real-world use cases for conferences like Futurist & Consensus Toronto- Future plans: city expansion, gamification, and monetization through local partnerships 🛠️ Stack Used:- Exa – AI web scraper for Twitter content- ChatGPT (OpenAI) – generates user persona + location recommendations- Google Maps API – interactive map visualization- Simple backend glue logic to orchestrate flow & fallback 💡 Whether you're an AI enthusiast, indie hacker, or dev building…

People in this episode

Host: Samir Azizi

Guest: Kirill Spitsyn

Topics covered

• AI development
• web scraping
• persona modeling
• location recommendations
• app development
• technology

Keywords

• AI
• Bespoke Beaver
• Exa
• ChatGPT
• web scraping
• location tips
• Toronto
• persona modeling

Mentioned in this episode

Organizations: Toronto DAO, Google Maps API

Products: Bespoke Beaver, Exa, ChatGPT

Places: Toronto

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