Leedsift

In 2012, Toukan Das and his co-founders—all computer science and data mining experts—were playing with Twitter and Foursquare APIs for fun when inspiration struck. They noticed vast amounts of unstructured social media data revealing buying intent and thought: what if we could help businesses find customers through these signals? Their initial vision was ambitious but misguided—sell this data to automotive brands to identify people ready to buy cars. It seemed brilliant until reality hit: Ford doesn't call you because you tweeted about needing a new car.

The team hacked together a demo for Halifax's local Demo Camp event, showing how businesses could find customers through social signals. Surprisingly, after their five-minute pitch, several local businesses approached them asking if it actually worked. Suddenly, their "fun hack" looked like a real business opportunity. The co-founders quit their jobs in August 2012 (without initial funding) and shortly after secured venture capital. They hired an experienced salesperson, built a product, and aimed straight for the Fortune 500.

By year-end one, they had five customers—one being a major electronics manufacturer. But the sales cycle was brutal. Large brands like Ford would redirect them to their agencies, creating lengthy processes. Worse, the brands didn't want proactive social selling; they wanted ad targeting data. The team pivoted to positioning themselves as "market intelligence for ad campaigns," helping brands understand which consumer segments were in-market. Revenue grew, but so did a fundamental problem: customer churn was high and revenue unpredictable. Agencies only paid per campaign, not for recurring access.

After two years in this model, success looked like failure. In Q4 2015, despite booking major revenue, Toukan's board chairman Damian Steele pointed out the real issue: they had no repeatable use case. Each customer wanted different data. Engineers were demoralized, building ad-hoc features that customers never actually paid for. The team had one year of runway left and three options: shut down, get acquired, or pivot one final time.

They chose option three. Rather than build first and hope, they interviewed 80 marketers—most said their solution was "nice to have." Then an intern doing outbound prospecting drew a pie chart of his job pains, and everything clicked. What if they solved *his* problem: finding relevant leads for B2B software sales? They interviewed 50 B2B sales and marketing professionals; 80% called lead generation their top pain point. Three signed contracts before any product existed. The team then did something engineers hate—they manually delivered leads via spreadsheet for months, learning exactly how customers would use the product. By June 2016, 30% was automated. By November, 100%.

The key difference: Leedsift became their own first customer. Toukan used the product daily for outbound prospecting, personally sending personalized email sequences via Outreach.io to target accounts showing intent signals. He booked most meetings within three to four weeks of first contact.

Seventeen months into the rebrand, Leedsift has 105 customers including fast-growing SaaS companies like Looker, Mulesoft, and others. Growing 13% month-over-month with just one salesperson, they're "very close" to $1M ARR and near profitability. Toukan credits co-founder conviction, supportive investors, and the discipline of building "brick by brick"—one customer at a time, learning, iterating, and changing the product accordingly. This isn't a fluke; it's a real business.