Openmart uses AI to match distributors with local businesses most likely to carry their products – replacing manual prospecting at scale.
ENTRY ANGLES
Full-stack B2B platform connecting manufacturers/distributors with local businesses · Supplier discovery and sourcing tools for small retail businesses · Trust and anti-spam mechanisms for B2B marketplace matching
VERTICALS
CAPABILITIES
Marketplace platform design and operations, Trust and fraud prevention systems, B2B sales and relationship management infrastructure
OPENMART FOUNDER
“show me stores selling organic bedding”
For manufacturers and national distributors, local businesses – the stores, salons, restaurants, and hotels that actually carry products – represent the last mile of distribution. And finding which ones are worth approaching is still largely a manual slog. Openmart is fixing that.
Those local businesses span a wide range – retail stores, beauty salons, dentists, hotels, restaurants, cafés, bars, tour operators, museums, regional distributors, wholesalers, and marketplaces.
The problem: there are a lot of them. Finding them currently means combing through Google, Google Maps, Yellow Pages, review sites, and regional directories. Even once you have business names and categories, you still need to figure out what each one actually sells and whether there's a genuine opening for your product.
Database services that cover this territory in depth are expensive. ZoomInfo, for example, starts at $50,000 per year for access to its data.
Openmart lets manufacturers and distributors find similar information faster and cheaper using its AI assistant. The company claims this cuts prospecting time in half, reduces time wasted on irrelevant leads by 20%, and can increase sales volume by 150% by surfacing thousands of opportunities that would otherwise go unnoticed.
Setup is straightforward: describe your company, list your most popular products, specify the types of local businesses you want to reach. Then query the AI directly – "show me stores selling organic bedding" or "find veterinarians discussing joint disease treatment in cats" – and the platform returns a relevant list.
Lists can be further refined using filters ranging from obvious ones like geographic area to more nuanced ones like customer demographic characteristics – "Gen Z" or "budget-conscious."
The startup recently added the ability to surface leads directly from Google search results – solving the annoying problem that a search like "short-term rental companies" tends to return mostly articles and information pages rather than actual business websites. Pulling the companies themselves out of those results is tedious to do manually.
Discovered contacts flow into a built-in CRM inside the platform, where deal progress can be tracked as outreach moves forward.
Standard plans run $250 and $699 per month, differentiated by the number of leads that can be saved and enriched with additional data.
One recently added enrichment feature: identifying the name of the decision-maker at each target business. The platform claims that addressing a specific person by name improves cold outreach effectiveness by 50%.
Openmart was founded in 2023 and is currently going through Y Combinator. It officially launched publicly last week, though it had been running in beta for some time before that.
Despite being early-stage, the startup already has paying customers – which helped it close funding not just from Y Combinator ($500K) but from two additional investors whose contributions remain undisclosed.
Local businesses are everywhere – and there are far more of them than most people realize.
The US alone has 33.3 million small businesses, the majority of which are local, offline operations. These businesses either resell other people's products directly (stores) or use them as part of their service (beauty salons using skincare and beauty supplies).
Breaking it down: the US has over 600,000 independent retail stores, more than 140,000 independent restaurants, over 44,000 pharmacies, and more than 21,000 beauty salons.
The sales potential is enormous. But cold-calling that universe blind would take forever – and without understanding what each business already sells, most calls would be wasted time and money.
Openmart's solution fits neatly into this gap. It's essentially a ChatGPT-style AI assistant, but tuned for conversations about local businesses – and built to deliver output as structured tables that sales teams can actually work from.
In a broader sense, Openmart is a reinvention of the old Yellow Pages business – but on a fundamentally different quality level, with smarter filtering and richer detail. It's not a brand-new concept. It's an old one, dramatically improved. Which is often the most reliable indicator of a product people will actually pay for.
The current version of Openmart may be just the first step toward a more ambitious strategic position – one that could define a whole category for anyone who wants to build in this space.
That direction: a full-stack platform connecting manufacturers and national distributors with local businesses.
Manufacturers and distributors need it because local businesses represent a powerful retail infrastructure they can't easily tap through other channels.
Local businesses need it because they're constantly looking for better suppliers and for products that can drive growth.
The key is ensuring the platform doesn't become a spam engine. It needs to be a genuine win-win – giving local business owners a reason to engage, not a reason to block calls.
The harder design questions: What features would make this platform genuinely valuable to both sides? What mechanisms would prevent abuse? What revenue model makes the economics work?