30 Million Small US Businesses – and Fewer Than 10% Are Discoverable

01 /The Concept

Openmart built an AI-powered database of small local businesses in the US – purpose-built for manufacturers and distributors who need to sell to them.

Think of it as a next-generation business directory – but designed not just for finding companies, but for selling to them. The critical difference is filtering. A standard business search returns companies by category. What sales teams actually need is companies filtered by much more specific criteria – otherwise reps spend most of their time contacting businesses with no genuine need for what's being sold.

A simple example from the startup illustrates this well: a company selling sushi rice doesn't need a list of restaurants in a given region. It needs restaurants with sushi on the menu – even if those restaurants don't call themselves Japanese. Openmart can surface that, and much harder things: the platform's demo shows the ability to find bars and diners that have a jukebox on premises – the kind of attribute that no standard directory would ever index.

To be precise, Openmart returns four confidence levels for each attribute: confirmed present, probable, confirmed absent, or unknown. Each result includes a brief summary explaining why a business was included.

For roughly half the businesses in its database, Openmart also surfaces owner contact information – names, phone numbers, and email addresses. CRM integration is available, allowing the platform to push only net-new discoveries while avoiding duplicate entries.

The database currently covers more than 10 million local businesses, with owner data on 5 million-plus of them. Openmart claims its platform cuts prospect research time by 80% and doubles sales conversion rates through more precise targeting.

The bulk of the database covers home services (HVAC, plumbing, electrical, general contracting), retail shops, hotels, restaurants and bars, professional services (attorneys, accountants), and other niche operators. Pricing starts at $299/month for a standard plan and $749/month for higher-volume access, based on contact query volume.

Openmart calls itself "an AI alternative to ZoomInfo." It was [covered here](/review/vstan-mezhdu-do-hrena-i-do-figa) earlier this year when it was going through Y Combinator on a $500K check. It has now raised an additional $2.75M.

02 /Why It Matters

There are more than 30 million small local businesses in the US, making them one of the largest and most fragmented B2B audiences in the country. The catch: LinkedIn – the default first stop for B2B research – has profiles for only about 10% of them, which is a significant structural gap for anyone trying to sell into this market.

Resquared ([related review](/review/zarabatyvaj-na-teh-kogo-trudno-najti)) – funded at $5.13M, with $5M coming in a recent round – built a similar AI-powered database but went further: its platform not only finds target companies but automatically sends personalized outreach messages via email and social channels, letting sales teams focus only on the leads who respond.

Also in the same Y Combinator cohort as Openmart was Firebender ([related review](/review/kak-najti-teh-kto-tochno-kupit)), which collects local business data for a different buyer: cloud B2B software vendors looking to identify their ideal customers among small operators.

And alongside both of them was OffDeal ([related review](/review/vygodnee-prodavat-ne-instrument-a-rezultat)), which also built a local business database – but for acquisition prospecting rather than sales. OffDeal has since raised $4.6M and pivoted into something more ambitious: an AI investment bank that not only identifies acquisition targets but structures the deal and provides buyer financing. Individual database access is no longer sold as a standalone product.

03 /Opportunities

Three startups in a single Y Combinator batch all building local business databases is a strong signal from one of the most pattern-matched investors in early-stage tech. The obvious first move is replicating the model in other geographies.

But the more interesting question is what comes after the database. OffDeal's pivot is instructive: raw data access is a thin margin business; the real money is in what you enable with that data. OffDeal turned its database into a deal-making platform that earns advisory fees and financing commissions. The database was a means, not the end.

For Openmart specifically, the same logic applies. A database of local businesses, combined with knowledge of what they buy and from whom, is the foundation of a diversified distribution business – one that earns commissions by acting as the intermediary between suppliers and the local operators they're trying to reach. That's a fundamentally different – and potentially much larger – revenue model than selling database subscriptions.

The deeper question is what you'd build on top of that data. A sales tool is the obvious answer – but OffDeal's pivot suggests the real opportunity may be further up the value chain, acting as the intermediary who structures the deal rather than just identifying the target.