In this episode we wrap up the data scraping process for mining data in Ontario. With our trusty LLM sidekick, we build a script that uses Selenium to scrape data from the OGS website. We deal with issues like the data being too big, and how to properly iterate when the results are not what we expect.

This is the first episode in a multipart series exploring a use case of applying DocuPanda to mineral mining data. We’ll go from scraping data to making sense of it, to building machine learning models, and finally (fingers crossed) to striking it rich by trading mining stocks. This first installment deals in the drudgery of actually getting the data - which involves a lot of scraping. But we have a secret weapon to help us out - ChatGPT!

A pre-baked notion of similarity is inherently flawed and destined to fail. The only way to achieve reliable and accurate retrieval is through intentional document indexing tailored to unique business needs and constraints. This post explores a fundamental insight that drove us to build DocuPanda.

Discover how DocuPanda’s new integration with Make simplifies automation. With over 2,000 supported apps, connect your document workflows to tools like QuickBooks, HubSpot, and Google Sheets—no coding required. Streamline data extraction, enhance productivity, and build robust connections without spending engineering resources!

Learn how I turned an idea into a functional, revenue-generating SaaS product in just 24 hours. This post isn't about billion-dollar startups; it's about rapid execution, validation, and creating value. Whether you're bootstrapping or exploring, discover how to dip your toe into entrepreneurship quickly and effectively.

GenAI is revolutionizing office work, turning document extraction into its killer app. Tedious tasks like parsing resumes, invoices, and healthcare claims become streamlined, accurate, and scalable. With tools like Docupanda, businesses harness LLMs to transform messy documents into structured data, unlocking efficiency and insights.