We watch the market move, so you can source before everyone else does.

Before Ripe Banana, I was an Amazon seller. And there was one thing that drove me absolutely insane.

I’d spend hours researching products. I’d find something I believed in, buy it, label every unit, pack up the boxes, and ship everything off to Amazon. My money. My time. My sweat. My tears. My hands on every single unit.

Then, before Amazon had even finished checking in my inventory, I’d watch the price tank.

Suddenly, I was losing $2 per unit.

Two dollars. Gone. On a product I’d carefully researched and worked my ass off to get ready for sale. And I hadn’t even had a chance to sell it yet.

That was the part that killed me. I’d done all that work, taken all that risk, and still ended up on the wrong side of a price war I hadn’t seen coming.

I didn’t want to get better at guessing. I wanted to understand what the hell was actually happening.

So I went looking for answers.

I realized Amazon wasn’t a supermarket. It was a stock market.

Think about it. You go to the supermarket, and the price of milk is roughly the same today as it was yesterday. Amazon doesn’t work that way. Prices can move every minute. Sellers come and go. Inventory gets replenished. Products sell out. And the price reacts.

But why?

I became obsessed with that question. And the deeper I dug, the more I realized something that changed the way I looked at Amazon:

The price tells you what’s happening now. Inventory tells you what might happen next.

When there’s too much inventory chasing too little demand, sellers fight each other to the bottom. But when inventory starts disappearing, the entire equation changes. Sellers run out. Competition thins. And suddenly, a product that looked unprofitable yesterday can become a very different opportunity tomorrow.

I needed to see that happening before everyone else did.

I knew what I needed. Nobody could show it to me.

Once I realized inventory was driving prices, I went looking for a tool that could help me track it.

Surely someone had already figured this out, right?

Nope.

There were plenty of tools that showed me how much inventory each seller had right now. Great. But what about yesterday? The day before? Last week?

Was that seller running out of stock, or had they just replenished 500 units? Was inventory steadily declining, or was it piling up? Was the competition getting weaker, or was it getting worse?

A snapshot couldn’t tell me any of that.

And that wasn’t even the whole problem. I wanted to know the total inventory across every seller on a listing. Not just Amazon’s inventory. Not just the biggest competitor’s. Everyone’s.

But I’d have to pull up the numbers and get out my calculator to add everything together. Then I’d have to record those numbers day after day, build my own graphs, and manually figure out what the trends meant.

I was trying to make buying decisions involving real money, and I was doing it with a calculator and a spreadsheet that was slowly taking over my life.

I didn’t need another tool to show me what was happening today. I needed a tool that could show me what was changing, why it mattered, and where things might be headed.

I looked for it. I couldn’t find it.

So I built it.

The spreadsheet that became an obsession.

I started tracking my competitors’ inventory in a spreadsheet. Every day, I’d record how many units each seller had, graph the numbers, and watch the trends.

Who was running low? Who had just restocked? Was inventory piling up, or was the listing burning through its supply?

Then I’d compare it all against how many units the listing was actually selling each day.

And I started seeing patterns.

When total available inventory dropped below roughly 15 days of sales, I noticed prices often started moving up. It wasn’t just about how many units were available. It was about how quickly they were disappearing.

But here’s the catch: a snapshot wasn’t enough. I needed history. I needed to know where inventory had been, how quickly it was changing, and whether the trend was accelerating or reversing.

I went from tracking dozens of listings to hundreds, then thousands, then tens of thousands.

My spreadsheet became a monster. I needed historical data going back to the Stone Age just to understand what was happening today.

Ridiculous? Maybe.

But I was starting to see opportunities other people were missing.

Then I started asking a question that changed the conversation.

Eventually, I moved into wholesale. I’d negotiate deals with suppliers, put together lists of products, and send them to potential buyers.

And time after time, I’d get rejected.

“Amazon is selling it.”

“Too many sellers.”

“No thanks.”

I’d look at these deals and think, Are we even looking at the same numbers?

So I started asking a different question.

“Do you want to buy a banana when it’s yellow, or when it’s still green?”

They’d look at me like I was nuts.

Then I’d pull up the inventory data.

“Look. Amazon has eight units left. This listing sells four a day. What happens when those eight units are gone in two days?”

And suddenly, I had their attention.

The product hadn’t changed. The listing hadn’t changed. The only thing that had changed was that they could finally see what I was seeing.

Today’s price wasn’t the whole story. The available supply was telling us something about tomorrow.

The conversation would go from “I’m not interested” to “Wait a minute… show me that again.”

And before long?

“Take my money!”

That’s when it really clicked for me. I’d spent years building a system in spreadsheets to solve my own problem. Now I was using that same insight to help other sellers see opportunities they’d been overlooking.

I didn’t build another Amazon tool. I built the tool I desperately needed.

I built Ripe Banana because I was tired of guessing, tired of getting blindsided by price drops, and tired of seeing good opportunities dismissed because people were looking at the wrong numbers.

I wanted to know when inventory was building up before prices collapsed. When competitors were running out before prices climbed. When a product was turning from a bad deal into a great one.

And I wanted to do it without spending my life buried in spreadsheets.

That’s why Ripe Banana exists.

We track inventory trends, connect them to sales velocity, and help sellers spot the supply-and-demand shifts that can create real opportunities.

Because the goal isn’t just to find products that are profitable today.

It’s to spot the products that are becoming more profitable tomorrow.

Anyone can look at a price. Anyone can count sellers.

But if you understand the inventory behind that price, you have a very different picture of what’s coming next.

So the next time someone tells you a product is a bad deal, ask yourself one question:

Is that banana really yellow? Or is it still green?

Because by the time everyone else sees the opportunity, the best time to buy may already be gone.