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Anthology

by Tom Leungvia The SaaS Podcast
See all SaaS companies using content marketing
Growthcontent marketing
Time to PMFone week
The Spark

Tom Leung's journey began in 2012 with Yabli, a startup he believed in deeply. He invested two years and $1.5 million into the product, convinced he was solving a real problem. But after all that time and capital, Yabli never achieved product-market fit. Users wouldn't even ask free questions on the platform—a telling sign that the problem he was solving wasn't truly urgent. Tom faced a hard truth: he'd been solving a "mild annoyance" problem, not a "migraine" problem.

Building the First Version

Instead of abandoning entrepreneurship, Tom changed his approach dramatically. Rather than spending a year perfecting each idea, he compressed his validation cycle. In six months, he ran eight pivots—a ruthless pace designed to fail fast and learn faster. Each experiment was designed to test a different hypothesis about what professionals really needed. Then came the ninth pivot: a one-page HTML form for a platform called Poachable that would let employed tech professionals explore career opportunities anonymously.

The form was brutally simple—no fancy design, no SSL certificate, no complicated onboarding. Yet something magical happened. People started entering sensitive information: their current salaries, job titles, career aspirations. The fact that they were willing to share this data on an unsecured form told Tom everything he needed to know. The problem mattered enough that security concerns took a back seat.

Finding the First Customers

On day two, a GeekWire article about Poachable hit the internet, and the signup flood began. In one week, Poachable proved what two years of Yabli couldn't: genuine product-market fit. Major tech companies—Amazon, Microsoft, Netflix—quickly recognized the value and began recruiting through the platform. The contrast was stark. With Yabli, users had shown zero urgency. With Poachable, they couldn't sign up fast enough.

What Worked (and What Didn't)

The core lesson was about problem severity. Yabli solved an incrementally better way to do something people could tolerate. Poachable solved a genuine pain point that justified giving up private information to strangers. Tom realized that adding more features to Yabli wouldn't have saved it—you can't iterate your way out of solving the wrong problem.

The other critical insight was timing and pace. Tom's tendency to persist with Yabli for two years wasn't tenacity—it was blind faith mixed with ego. Admitting failure felt like admitting he wasn't smart enough. But speed forced clarity. When you set a one-month kill threshold per experiment, you can't hide behind the "just one more feature" excuse.

Where They Are Now

Poachable rebranded as Anthology and became the platform where anonymity and genuine opportunity meet. The validation method itself—asking for real data that mattered to users—proved more valuable than any email signup metric. Tom had learned that 10,000 worthless email addresses are worth far less than 1,000 paying customers with genuine intent.

Why It Worked
  • Tom succeeded because he solved a true migraine problem (career exploration anxiety and privacy concerns) rather than a mild annoyance, which forced users to take real action like sharing sensitive data unprompted.
  • The compressed pivoting cycle (eight pivots in six months) forced speed and accountability, preventing him from rationalizing away failure through incremental improvements like he did with Yabli.
  • Early press coverage from GeekWire provided social proof and reach at exactly the right moment when the product genuinely resonated, creating a feedback loop that validated the core hypothesis in one week.
  • Tom's willingness to embrace radical simplicity (a one-page HTML form) as the validation tool worked because it removed friction that would have obscured whether users actually cared, cutting through noise to reveal true demand.
  • The pivot from founder ego (proving he was smart by persisting with a bad idea) to founder objectivity (measuring real user behavior like sensitive data sharing) freed him to recognize and act on market signals faster.
How to Replicate
  • 1.Set a strict kill threshold (one month) for each product hypothesis and ruthlessly execute pivots on that schedule rather than playing dead ideas indefinitely, forcing speed and preventing sunk-cost rationalizations.
  • 2.Test for genuine problem urgency by asking users to reveal sensitive or valuable information (salary data, contact details, private preferences) without heavy security theater—if they won't share it, the problem isn't urgent enough.
  • 3.Launch with the absolute minimum viable form or experience that tests your core hypothesis, then watch what happens without adding features; if traction doesn't come, the problem is wrong, not the execution.
  • 4.Couple your product validation with at least one high-impact media outreach or press opportunity (like the GeekWire article) that can create velocity when the product actually resonates, rather than relying purely on organic growth.
  • 5.Measure success by real behavioral signals (users entering sensitive data, conversion to paying customers) rather than vanity metrics (email signups), and be willing to admit when you're chasing the wrong problem rather than defending past investment.

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