← Back to browse

True.me

by Dave HurwittLaunched 2020-02via Nathan Latka Podcast
See all SaaS companies using enterprise direct sales
ARR$120k
Growthenterprise direct sales
Pricingsubscription
Built in3.5 years
The Spark

Dave Hurwitt spent his entire career launching products—from toothpicks to wind turbines—and had generated over a billion dollars in sales. But in 2020, he found himself sitting in a car outside a college campus in upstate New York with his daughter, who refused to even get out to tour the school. That moment crystallized a larger insight: families were making quarter-million-dollar decisions about college using tools far less sophisticated than Spotify's music matching or Yelp's restaurant recommendations.

Dave realized the real crisis in American higher education wasn't admissions—the average acceptance rate was 70%—but retention. Only 45% of students graduate from their first college; half transfer or drop out. He decided to rebuild the college-matching process from first principles, launching True.me in February 2020, right before COVID hit.

Building the First Version

Hurwitt came from outside the college industry and wasn't a coder, so he knew he had to listen deeply to students, school administrators, counselors, and other stakeholders to avoid building a solution based on his own assumptions. Finding engineering talent during the pandemic was challenging, but a connection through Burlington, Vermont's tight startup community led him to a co-founder of dealer.com (which had exited for ~$1 billion). That connection became critical: a former CTO/CEO of dealer.com became an investor and guided product development, even as the company remained lean with just three full-time employees.

The development took 3.5 years—longer than typical because Dave wanted to truly understand the market. The product's core innovation was a matching quiz built from data on recent graduates of each school. Schools could deploy this quiz to prospective students in their marketing, surfacing "school codes" based on academic and social fit rather than just SAT scores or GPA.

Finding the First Customers

True.me priced its offering at $10,000$15,000 per year—a small fraction of the $27,000$28,000 fully loaded cost schools spend to enroll a single student. Dave intentionally kept pricing low to remove friction and encourage schools to trial the platform. By the time of this interview (roughly 2023–2024), he had signed 12 schools, with most in the early months and about to go "active" during the fall enrollment cycle after Labor Day.

Dave was deliberate about building proof of concept before seeking institutional capital. He'd raised a couple hundred thousand from angels, enough to stay bootstrapped while proving that schools would actually pay for the product. His goal was to reach 30–40 schools and $300,000$400,000 in revenue to signal institutional investors that product-market fit existed.

What Worked (and What Didn't)

What worked: Dave's deep product thinking and willingness to slow down and listen to the market. His outsourced engineering team through Burlington connections kept burn low. His own credibility as a veteran product launcher gave schools confidence to trial the product.

What didn't: COVID hampered fundraising and team-building in the early years. The college admissions market moved slowly—even as trends (affirmative action changes, SAT privacy updates, virtual college visits) aligned in True.me's favor, schools were sticky with legacy practices and direct mail models. Dave had to accept that 3.5 years of development with just 12 customers was the price of truly understanding the market.

Where They Are Now

True.me has 12 active schools paying an average of $10,000$15,000 per year (approximately $120,000 ARR). Dave is hunting for critical mass—30–40 customers—to justify an institutional raise and scale aggressively. The longer vision is even bigger: disrupt the entire $15 billion college admissions marketing and direct mail industry, which represents a gateway to the trillion-dollar higher education market. He's energized by recent advances in generative and predictive AI, which can enhance the matching algorithm. At 54 years old, with three grown children, a supportive spouse, and decades of product wins under his belt, Dave is betting on his final act being his biggest.

Why It Worked
  • Dave's decades of sales experience in unrelated industries gave him credibility with school administrators while his outsider status forced him to validate assumptions rather than rely on industry conventions, avoiding the trap of solving non-existent problems.
  • By pricing at only 37–55% of the per-student enrollment cost schools already bear, he eliminated procurement friction and made trials a rational business decision for cash-strapped institutions, enabling faster adoption without complex sales cycles.
  • The 3.5-year development cycle, driven by genuine market listening rather than speed-to-market pressure, produced a product built on actual graduate data that solved retention (the real problem) rather than admissions (the obvious one), creating defensible differentiation.
  • Maintaining a lean three-person team and sourcing engineering through established community networks kept burn low enough to bootstrap past product-market proof, reducing pressure to oversell and allowing him to be selective about customers who could succeed with the product.
How to Replicate
  • 1.If you have deep domain expertise from outside your target industry, lean into it: deliberately talk to at least 10–15 practitioners in each stakeholder group (students, administrators, counselors) before finalizing your core feature set, and document what surprised you most about how they work.
  • 2.Set your initial pricing at 30–50% of the fully loaded cost your customers incur to solve the problem you're addressing, then communicate that pricing as a deliberate trial incentive in your first customer conversations to reduce perceived risk.
  • 3.Prioritize hiring or contracting with engineering talent from your existing geographic or professional network where relationships already signal trustworthiness, and be willing to extend development timelines if it means avoiding bad hires or outsourcing partnerships that would increase burn.
  • 4.Define a clear proof-of-concept milestone (e.g., 30–40 customers, $300k–$400k ARR) before approaching institutional investors, and use only enough angel capital to reach that milestone while staying bootstrapped, which preserves your ability to turn down misaligned growth pressure.

Similar Companies

247.ai

$25.0M/mo

247.ai, founded by PV Cannon in 2000, is an AI-powered customer service automation platform serving over 150 enterprise customers with $300M+ in ARR. The company raised only $20M from Sequoia (2003) and bootstrap, achieving 10% net profit margins while maintaining a 12-month CAC payback period and 100% net revenue retention. Despite a security breach setback around 2018, 247.ai has recovered and recently achieved 20% new revenue booking growth in their best quarter.

iCIMS

$13.3M/mo

iCIMS is a bootstrapped SaaS provider founded in 1999 that dominates the talent acquisition software market as the #2 player, serving 3,500 enterprise customers with an average monthly spend of $4,000. The company exited 2017 with $160M ARR and is targeting 25%+ annual growth while maintaining profitability, recently acquiring Text Recruit to expand into candidate messaging and recruitment advertising.

Zoom

$12.0M/mo

Zoom is a freemium SaaS video conferencing platform founded by Eric Yuan in July 2011 after he left Cisco to build a next-generation collaboration solution. The company has grown to 850,000+ paying customers across individual, SMB, and enterprise segments, generating over $12M in monthly recurring revenue with approximately 100% year-over-year growth. Rather than focusing on customer stickiness or aggressive growth targets, Zoom emphasizes customer happiness and organic word-of-mouth acquisition, which has proven highly effective in driving viral adoption.

Madwire

$10.0M/mo

Madwire is a comprehensive SaaS platform for small businesses (1-100 employees) that combines CRM, payments, invoicing, billing, e-commerce, and multi-channel marketing tools in a single platform. Founded in 2009, the company has grown to $120M ARR serving 20,000 customers with an average revenue per user of $500/month, while maintaining strong unit economics ($3,000-$4,000 CAC with 3-month payback) and recently turning profitable with a focus on reaching 15-20% EBITDA margins. The company is exploring an IPO within 12-18 months without having raised substantial capital beyond an initial $7.5M.

SwiftPage

$7.0M/mo

SwiftPage is a CRM and marketing automation platform founded in 2001 that targets small businesses. Under CEO John Oshel's leadership since 2012, the company scaled from 60,000 customers with $26.2M revenue in 2015 to 84,000 customers today with an estimated ARR of $36M+, maintaining 1.5% monthly logo churn and a 6-7 month payback period with a sub-$500 CAC.

Related Guides