Bear Metrics

In 2013, Josh Pigford was running a couple of SaaS products in the survey space and faced a frustrating problem: he needed to track essential metrics like monthly recurring revenue, lifetime value, and churn—but no great tools existed. "You could either do a bunch of stuff in an Excel spreadsheet, which was ripe for screwing up, or use a generic analytics platform where you have to do a bunch of engineering work to get it up and running." Since he was using Stripe as his payment processor, Josh realized Stripe already had most of the data he needed. He decided to build a small internal tool to see what would happen.

The initial version took about a week of work—remarkably lean for what would become a major SaaS platform. Josh didn't overthink it. "I figured, well Stripe's got most, if not all of the data that I need. Let me just see, let me build this little internal tool and see what happens." He had no intention of turning it into a company; it was pure itch-scratching. But when he mentioned it to SaaS friends, the response was unanimous: they all wanted it too. They'd been using spreadsheets and wrestling with clunky analytics tools for years.

Josh launched Bear Metrics in November 2013 with zero pre-launch hype—no landing page, no beta list, just a flip of the switch. He posted on Twitter that he'd built an SaaS analytics tool for Stripe and reached out to a few people he knew. They shared it in their networks. The SaaS community on Stripe was small and tight-knit, making it an easy sell: one click to connect your Stripe account, instant analytics. His first customer paid $250/month. "At that point, you've actually started solving a problem, the momentum is kept up and you get this extra encouragement from validation from actually having paying customers."

Josh's strategy was radical simplicity. He built only what he needed to prove the core idea existed. Most founders would have spent months polishing; Josh shipped in a week and learned by talking to paying customers. Within two months, he scrapped the entire first codebase based on feedback. He'd built only high-level metrics (current MRR, current churn), but customers wanted historical trends and the ability to see patterns over time.

By January 2014, just two months after launch, Bear Metrics' growth dwarfed his other projects. He made the leap to focus 100% on it. Six months in, he hit $14,000 MRR through Twitter sharing and word-of-mouth. A major breakthrough came when Buffer, a high-profile transparency advocate, made their Bear Metrics dashboard public—pure marketing, zero code required, massive impact on long-term growth.

Josh also discovered that writing worked incredibly well. "It's not just feature editions but marketing efforts" that drove growth. He began publishing detailed, transparent content about running Bear Metrics: revenue numbers, churn rates, lessons learned. The Business Academy section became a magnet for founders and entrepreneurs who needed education on what to do with their metrics. Content marketing became his primary growth lever.

Another crucial insight: talking to customers on the phone was far more valuable than surveys or email feedback. People don't want to type long responses; they'd rather talk. Josh spent "an inordinate amount of time on the phone" with customers, digging past surface-level feedback to understand real pain points. This practice shaped product decisions more than any feature spec ever could.

By 2017, Bear Metrics had grown to $70,000 MRR—a 280x increase from the first customer. The company had raised $800,000 total ($500k from the Stripe Platform Fund in summer 2014, then $300k more a year and a half later). But rapid hiring and overconfidence in growth projections nearly broke them in summer 2016; they nearly ran out of cash. Everyone took pay cuts. Six to seven months later, they'd course-corrected and were approaching profitability—a milestone most venture-backed companies would celebrate much earlier, but Bear Metrics had learned the hard way that growth without unit economics is a trap.

Josh's core insight remained unchanged: "Don't do a startup. Just build something that solves a problem." Most people never ship anything; they research forever. Josh shipped in a week, talked to customers relentlessly, wrote transparently about what he was learning, and let the market teach him what to build next.