
In this hands-on labs episode of This Week in NoCode + AI, JJ sits down with David, CEO and solo founder of Formula Bot, for a practical, live walkthrough of how AI is changing the way teams analyze data.
If you want to learn by doing, this episode is for you. JJ and David dive directly into the Formula Bot platform, connect real data sources, and show how AI can act as a true data analyst — answering questions, generating reports, and uncovering insights without complex dashboards or manual spreadsheet work.
You’ll see how Formula Bot evolved from a simple Excel formula generator into a full AI-powered data analysis platform that integrates with tools like Google Analytics, data warehouses, and more. David walks through key features including data connectors, automated reporting, web scraping, and enrichment — all designed to help teams move faster from raw data to decisions.
David also shares his journey bootstrapping Formula Bot to over $1M in revenue as a solo founder, what he learned along the way, and how he thinks about AI competing with (and complementing) tools like ChatGPT.
Whether you’re in finance, accounting, marketing, or running a small business, this episode shows exactly how AI can simplify data analysis and unlock insights you may be missing today.
Links & Resources 🔗
• Formula Bot: https://formulabot.com
• Subscribe to This Week in AI
• Workflows Newsletter: https://theworkflowsjobs.substack.com/
Timestamps ⏰
00:00 Introduction to David and Formula Bot
00:57 What is Formula Bot?
02:20 Real-world use cases and customer wins
03:12 Live, hands-on demo of Formula Bot
10:05 Advanced features and data connectors
20:41 Formula Bot vs ChatGPT
25:05 Web scraping and data enrichment
29:36 Final thoughts and takeaways
Why This Labs Episode Matters
This isn’t just a conversation — it’s a hands-on session where you’ll see how AI can replace hours of spreadsheet work, connect directly to your data, and deliver answers in plain language.
AI isn’t just assisting analysts anymore — it’s becoming one. Formula Bot shows what the future of practical, accessible data analysis looks like.