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Scorley

by Sean Paratvia Nathan Latka Podcast
See all SaaS companies using partnerships →
Growthpartnerships
Pricingfreemium
The Spark

Sean Parat's interest in business credit came from a painful experience. His previous company, a judgment investigation firm called Recovery of Judgment, had been operating for seven years when he pulled its business credit report. It showed a credit score of 25 out of 100, an address from six years earlier, and monthly expenses of $50, while the company was actually spending about $25,000 a month. He described the report as completely inaccurate, and he saw that many small businesses depend on credit to get funding without any reliable report to rely on.

Building the First Version

Scorley was designed as a different kind of business credit bureau. Instead of charging for individual reports, it offers free monitoring so small businesses can track their vendors, suppliers, customers, and competitors. The company planned to earn money from loan referrals, where it would match businesses with lenders and take a commission, and from a premium membership. The company had raised $250,000 in a pre-seed round using a SAFE. Sean's team was small, with a co-founder and about ten freelance contractors who handled data cleaning, aggregation, and scoring.

Finding the First Customers

Before launch, Scorley built demand through partnerships rather than paid acquisition. Sean attended chamber of commerce events and a New York Chamber Expo, and partnered with government agencies. One New York State chamber emailed about 5,000 members to say they could access free business credit reports. Three exhibitors at the expo also sent email blasts to their own customer bases, framing the offer as a value add for their clients. The pitch worked because businesses often need a credit check before working with a new partner, and existing options were expensive. The result was a pre-launch waitlist of about 10,300 people.

What Worked (and What Didn't)

The clearest success was the partner-driven waitlist, which showed that small businesses wanted free access to credit information. The approach also gave Scorley distribution without a large marketing budget. The company's revenue model was still unproven at the time of the interview. It had no revenue yet and was planning to make money from lenders and future premium memberships, and Sean acknowledged that some of the business was still being worked out, including how to monetize the judgment data from his earlier company.

Where They Are Now

At the time of the interview, Scorley was pre-revenue and about three weeks from launch. It had a waitlist of roughly 10,300 people, $250,000 in pre-seed funding, and a plan to pair free credit monitoring with lender partnerships and a premium tier.

Why It Worked
  • •Free monitoring paired with a clear pain point, inaccurate and expensive business credit reports, gave small businesses a reason to join before any revenue existed.
  • •Partnering with chambers of commerce and businesses that already had client relationships gave Scorley trusted distribution that paid advertising could not easily match.
  • •Positioning the product as a value add for partners made each email blast a recommendation rather than a sales pitch, which likely drove the large waitlist.
  • •Using free access as the entry point builds a large user base that can later support loan referrals and premium upsells, so the monetization path depends on scale.
How to Replicate
  • 1.Identify a costly, underserved step in your market, such as a price-heavy report or an inaccurate data source, and build a free alternative around it.
  • 2.Attend local business associations and trade expos to meet organizations that already email the customers you want to reach.
  • 3.Give partners a reason to share the offer, such as a free benefit they can give their own clients, and provide ready-made email copy.
  • 4.Build a waitlist before launch and track sign-ups by partner so you can see which channels produce the most demand.
  • 5.Plan monetization around the users you collect, such as referral commissions or premium tiers, and test those models once the audience is large enough.

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