Why Goodfit

The problem with agency search

An agency search usually starts with noise. You collect referrals, browse directories, and still end up with a list that reflects who markets themselves well rather than who suits the work. How buyers search for and evaluate firms at this stage is well documented; Hinge's Inside the Buyer's Brain study of nearly 2,000 professional-services buyers is a good overview.

The practical experience is familiar. A half-formed project gets translated into outreach emails, the same context is repeated on every introduction call, and providers get compared on signals that are easy to find but hard to trust.

Goodfit starts from a simpler question: if we understand the project first, can we make the first list of candidates less random?

What Goodfit is testing

Goodfit is a research-stage matching tool for service work. You share a project idea, and the product looks for providers whose public profile fits the brief: location, language, budget range, industry experience, services, and signs of relevant work.

The intended result is a better first page for the buyer: fewer names, with a stated reason for each one. Judgment about who to actually contact stays with the buyer.

For providers, the same idea works in reverse. A profile earns its place in a directory when it helps suitable projects find the relevant evidence quickly.

Why this needs to exist

A good match is rarely one big fact. It is usually several small ones: a team that knows the sector, speaks the buyer's language, has worked in the right market, and can handle the budget. Those details are scattered across websites, case studies, social profiles, and sales calls, so checking them by hand is slow. Goodfit is trying to collect that scattered evidence into one usable starting point.

Where we are now

This first version is deliberately small. The provider data is still being checked, and the matching logic will change as we learn which signals actually help buyers decide. Expect gaps.

That is also why this note exists. We would rather be specific about what the product does today than suggest it is further along than it is. If you try Goodfit and something feels off, tell us. Fixing those reports is a large part of the current work.