Trend Spotting Software

Trend Spotting Software Success Stories [2024]

Updated: September 6th, 2024

Spotting trends before they go mainstream can be a game-changer. This is where trend-spotting software comes in.

In simple terms, trend-spotting software uses machine learning algorithms to sift through massive data sets, identifying emerging trends and shifts in consumer behavior. Whether for fashion, tech, or market research, this software can predict "what's next."

This business idea is intriguing because it's rooted in data science, a field that's rapidly growing and in demand. You'll be providing companies with insights that could shape their product lines, marketing strategies, and investment decisions.

Creating this software involves understanding big data, employing advanced algorithms, and designing a user-friendly interface. It's not an easy undertaking, but the payoff is substantial, especially in today’s data-driven world.

In this list, you'll find real-world trend-spotting software success stories and very profitable examples of starting a trend-spotting software that makes money.

1. Treendly ($12K/year)

While working on another SaaS product, he wondered about what non-essential feature he could take out from an existing product and put into another market where the feature is essential.

He was already running one of my other software products, where he collected e-commerce data. One of the features of that product was trend-spotting for e-commerce merchants.

And so Treendly was born from a side feature of that other product.

How much money it makes: $12K/year
How much did it cost to start: $0
How many people on the team: 0

SMALLBORDER

I Bootstrapped A $12K Trend-Spotting Tool [From Estonia]

This case study is about a jazz musician turned SaaS founder who bootstraps and simultaneously runs nine products with $8k/month revenue, of which Treendly, a platform that discovers emerging trends, accounts for $1k/month and uses self-taught data collection skills to focus on what is important.

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