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Realink

by Matt WeirichLaunched 2014via Nathan Latka Podcast
See all SaaS companies using enterprise direct sales
ARR$5.5M
Growthenterprise direct sales
Time to PMFApproximately 1 year (launched 2014, first real multifamily customer in 2015)
Pricingsubscription
Built in2014
The Spark

Matt Weirich's entrepreneurial journey began with a personal frustration in May 2011. Moving from Purdue University to Chicago for a consulting role at Accenture, he experienced the pain of remote real estate searching. The timing couldn't have been better—FaceTime had just launched that same month. "It was that real estate search process back in 2011 that really opened my eyes to how inefficient the real estate search process was," he recalls. "That May 2011 was actually when FaceTime came out and was just a light bulb moment." Over three years of consulting travel, he witnessed the same pain point repeatedly: professionals unable to tour properties remotely or cramming exhausting property-viewing marathons into weekends.

Building the First Version

In 2013, at a work event, Matt pitched his idea to Hani, a colleague with startup experience from Northwestern. "The very next week we were in my apartment, whiteboarding laying the foundation," he says. Neither had extensive real estate backgrounds, so they brought on a CTO as a co-founder with equity. They spent 2013 scoping and running focus groups, completing their MVP by 2014. Funding came from a $130,000 friends and family round at the end of 2013, forcing the lean bootstrapping life: "We made that stretch much longer than it should have. We didn't do a formal seed round until 2016 when we did a $1.1 million seed round. We went a long time off of savings and ramen."

Finding the First Customers

Their first customers came from an unexpected pivot. Initially targeting residential brokerages like Coldwell Banker and Century 21, they quickly discovered the B2B sales model was broken: "Brokerages did not want to pay for technology for their agents. And so we had to sell agent by agent by agent. And it just was not an easy or feasible go-to-market strategy for a startup." The breakthrough came through personal networks in Chicago's emerging PropTech scene. A multifamily owner interested in innovation became their first real customer in 2015. "We sat down with them, launched in three communities early on to just prove up the value proposition. I always say product market fit smacked us in the face. The second we launched into those multifamily communities, the usage went up into the right."

That first year brought in roughly $60-70k in revenue. By 2016, they'd expanded from three to 25 properties across a small handful of enterprise clients. The business model: a flat $325/month per property (for 100+ units), with lower rates for smaller buildings. This contrasted with competitors charging per unit, making larger properties prohibitively expensive.

What Worked (and What Didn't)

Early experiments with usage-based pricing failed spectacularly. "What we found very quickly was that the only result that drove was teams trying to minimize their usage," Matt explains. Switching to unlimited usage with a flat fee transformed the business. By January 2020, they'd hit $1M ARR. Then COVID-19 hit. Leasing centers shuttered, forcing virtual-only operations. Realink was perfectly positioned: "The second leasing centers shut down because of shelter in place and quarantine, they had to turn to virtual leasing to keep business running." Growth exploded to 4.5M ARR by year-end 2020—a 350%+ increase in twelve months.

By 2021, they managed ~500,000 units across 1,400 properties and 150 enterprise clients. Expansion revenue made up 75-80% of growth, giving them a net dollar retention rate of $151.60. Gross revenue churn sat below 10% annually. The sales org scaled from founder-driven to six quota-carrying reps, each targeting ~180 properties per quarter (~$600k ARR per rep). In fall 2020, they raised $16M in primary capital on a $22M valuation from Susquehanna Growth Equity, with roughly two-thirds coming as secondary (early employees and investors taking partial exits). With goals to hit $8M ARR in 2021, they'd assembled a 35-person team, including 15 engineers.

Where They Are Now

Realink has established itself as the leading virtual leasing platform for large multifamily properties. The $325/month flat fee model works because their average property has 280+ units—much larger than typical competitors' customer base. Land-and-expand strategy dominates: they enter a portfolio with 3-5 properties, then systematically grow to 25-50 properties within that client group. With seasoned multifamily leader Christie Pickard leading sales and a heavily engineering-focused team (15 of 35 employees), they're primed to capitalize on the permanent shift toward hybrid physical-digital leasing tours that COVID accelerated.

Why It Worked
  • Solving a founder's own pain point enabled rapid validation of genuine market demand, as Matt's three years of repeated exposure to remote property viewing friction ensured he was solving a real, widespread problem.
  • Pivoting from an unsustainable residential broker model to enterprise multifamily clients through local network connections revealed a segment willing to pay for innovation and with the buying power to support sustainable unit economics.
  • A simple, flat-fee pricing model ($325/month per property) removed the perverse incentive of usage-based pricing that discouraged adoption, directly enabling the explosive growth from 3 to 25 properties in one year.
  • The land-and-expand strategy within existing enterprise client portfolios (scaling from 3 to 25 properties within a handful of clients) provided faster revenue growth and proof points than acquiring new customers, reducing sales friction over time.
How to Replicate
  • 1.Identify a repeated professional frustration you personally experienced over an extended period, then validate whether others in your network share that same pain before committing to a solution.
  • 2.Test your initial go-to-market assumption (residential brokerages) with enough rigor to fail fast, then immediately tap your local professional networks to identify adjacent buyer personas with higher willingness to pay and centralized decision-making.
  • 3.Structure your pricing as a simple flat fee per unit of value rather than usage-based metering, then measure whether adoption rates and expansion within accounts accelerate after the pricing change.
  • 4.After landing a first enterprise customer, prioritize expanding within their existing portfolio of properties or locations before pursuing net-new customer acquisition, and use that concentrated expansion as both revenue and proof of product-market fit.

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