My name is Maxim, and like many entrepreneurs, my journey began with failure. As an IT expert with 25 years of experience in software and hardware development, I never expected that entering the e-commerce world would present such formidable challenges.
My first venture a brand of minimalist Swiss watches seemed promising. I'd created the product, built the website, established the brand, and decided to target the lucrative US market through Amazon. What could go wrong?
The warning signs were there: special permissions required to enter the category, literally millions of competing products drowning out my listings, and countless other obstacles that ultimately proved fatal for my brand. These weren't just minor setbacks they were fundamental mistakes in market understanding that no amount of product quality could overcome.
Later, when I found success selling on European marketplaces, I faced a different challenge: the painstaking process of product research. For each potential product, my team spent hours analyzing nearly 40 different data sources, manually compiling spreadsheets, and making educated guesses. The insight was valuable, but the process was unsustainably slow and inefficient.
The Turning Point
That's when my background in technology collided with my e-commerce experience. I realized I could automate what was taking hours into a process that required mere seconds. The initial tool I built transformed our internal operations suddenly we could analyze hundreds of potential products in the time it previously took to evaluate just one.
What began as a personal solution for my team quickly gained interest from fellow sellers, then clients. After refining the system based on real-world feedback, I realized the potential impact this could have for the broader marketplace seller community.
My first attempt at sharing this technology a Telegram bot taught me another valuable lesson about market fit. Despite Telegram's significant presence in certain regions, it wasn't the platform of choice for most marketplace sellers globally. The insight was clear: powerful technology needs accessible platforms to make a real difference.
The Birth of PandaRadar
This realization led to the creation of PandaRadar a sophisticated yet intuitive research tool available where sellers actually work: iOS devices and Chrome browsers.
Today, PandaRadar analyzes nearly 40 data sources in real-time to deliver comprehensive sales forecasts and market intelligence for any product idea. It provides clear answers to the most critical question in e-commerce: "Should I sell this product or not?"
What once required specialized knowledge, countless hours, and expensive software now happens seamlessly in seconds giving sellers of all experience levels the insights previously available only to enterprise organizations.