Last week at the entrepreneurship salon, Sister Zhang, who is in the restaurant franchise business, suddenly thrust her phone in front of me: 'Look at this map, the denser the red dots, the better my franchise store's business!' The screen displayed not a common navigation map, but a heat map made up of colored bubbles, each bubble marked with data such as 'average daily consumption frequency within 3 kilometers' and 'average transaction price of similar competitive products,' while the most prominent position featured the 'Bubblemaps' logo.

#Bubblemaps

This reminded me of a pitfall I encountered six months ago. At that time, I wanted to open a bookstore near the university town and spent three thousand yuan on a market research report, only to find that the data was six months old—by the time I rented the store, I discovered that two chain bookstores had just opened nearby, which wasn’t mentioned in the report. I was worried every day staring at the empty store until a classmate who does data analysis recommended Bubblemaps to me.

@Bubblemaps.io

'It's not an ordinary map; it combines on-chain data with offline scenarios.' My classmate explained while demonstrating. I tried entering 'university town + cultural consumption,' and the screen immediately displayed a dynamic bubble chart: orange bubbles represented student dense areas, blue bubbles indicated the consumption periods of nearby cafes, and I could even see the trading heat of second-hand books over the past month. What’s even better is that this data comes from user-authorized anonymous information, which, after being verified through blockchain, ensures authenticity while protecting privacy.

Later, based on Bubblemaps' suggestions, I transformed the bookstore into a 'books + cultural creations' composite space, selecting a location in the overlapping area of the orange and blue bubbles, and achieved profitability in the first month of opening. A few days ago, when I opened the app again, I found that it had added a 'user behavior prediction' feature that analyzes historical data through smart contracts to predict consumption trends three weeks in advance.

Now, every time I chat with entrepreneurs, I recommend Bubblemaps. What impresses me the most is not the fancy visualization effects, but how it uses blockchain technology to turn fragmented market information into 'live data,' allowing small entrepreneurs like me to grasp the pulse of the market. $BMT