June 8, 2026

Every Monday morning, before I hit my first dose of caffeine, a report lands in my inbox. It tells me which community events are happening in up to seven U.S. cities that week, ranks them by strategic value for my specific audience, and recommends exactly how to engage; whether to book a vendor booth, pursue a sponsorship, reach out to the organizer, or skip the event entirely. This took just about $0.75 in AI API credits to generate and replaced two to three hours of manual work.

The highest-return marketing channel for most small businesses is not Instagram. It is not Google Ads. It is not even email. 

It is showing up in the right room.

Community events (vendor markets, cultural festivals with expo floors, professional association gatherings, government contracting conferences, neighborhood business summits) are where trust-based business relationships actually form. For a small business that depends on word of mouth, repeat purchase, and community credibility, showing up consistently at the right gatherings is often worth more than six months of digital advertising spend. The room is where the customer who becomes a loyal customer first decides they like you.

But there is a problem that every small business owner running this playbook knows well and almost nobody talks about publicly: finding the right rooms, across multiple cities, across multiple event platforms, week after week, is brutal manual work. And until three months ago, there was no AI tool designed to help with it.

I know this because I went looking for one. When I could not find it, I built it.

The manual (unproductive) process everybody accepts

A small business owner trying to build community presence has to check Eventbrite, AllEvents, Luma, local Facebook groups, chamber newsletters, association calendars, and city government event listings separately, for each city they care about, every week. Then they have to filter out the events that are not relevant to their specific business and audience: the concerts, the general meetups, the panels that attract the wrong crowd, the festivals that have no vendor access. Then they have to figure out which of the remaining events are actually worth the time and cost of participation.

For a solo founder or a two-person team, this is two to three hours that disappear every week without producing a customer, a partnership, or a dollar. And most of the time, they just skip it; not because community presence is not valuable, but because the research cost is too high relative to the uncertainty of the outcome.

To be honest, this is an information problem, not a resource problem. The events are happening. The opportunities are there. The business owner just has no systematic way to identify which ones are worth their Saturday.

Why the problem is harder than it looks

The difficulty is not discovering that events exist. Eventbrite and Luma do that well enough. The difficulty is evaluating whether a specific event is strategically valuable for a specific business reaching a specific audience.

This requires context that no general-purpose platform provides. A Juneteenth festival is not the same strategic opportunity for everyone who attends it. A food and culture festival is not equivalent to a Black business expo with a vendor market floor, even if both happen on the same weekend in the same neighborhood. A professional networking happy hour is a completely different proposition from a government procurement conference, even if both show up under 'business events' in the same search.

To illustrate what this actually looks like in practice: in the most recent production run of the tool I built, two events appeared in Dallas on the same day. Both were Juneteenth celebrations. Both explicitly drew from the same community audience.

One scored 9 out of 10. The recommended action was to book a vendor booth. The reason: the event was organized explicitly around community dollar circulation and economic networking, with an active vendor market.

The other scored 6 out of 10. The recommended action was to monitor it rather than commit resources. The reason: it was primarily a concert. High community attendance, low commercial access for vendors.

Same city. Same day. Same broad audience association. Three points apart, because the strategic value for a small business owner behind a vendor table is completely different. A keyword-based search would have returned both identically. The AI scoring engine I built returned them 3 points apart because it was reasoning about strategic fit, not just relevance.

What I built and why I gave it away

Growth Radar is an open-source AI agent system that automates community event intelligence for small businesses. You describe your target community: the audience you are trying to reach, the keywords that match your business context, the cities you care about, and the system scrapes event platforms across those cities, evaluates each event using Claude AI, scores it for strategic fit against your specific audience, and delivers a ranked weekly report to your inbox every Monday morning. It also scores cities by opportunity volume and competitive gap, so you know not just which events to attend but which geographic markets are most worth your time.

The tool is audience-agnostic by design. It works for a multicultural marketing agency targeting Black and Hispanic entrepreneurs in the Mid-Atlantic. It works equally for a female-founded consumer goods brand in South Jersey, or an immigrant-owned restaurant group trying to identify the food festivals and community gatherings where their target customer shows up. The system does not have a fixed definition of community. You define yours.

The full code is open source and MIT-licensed at github.com/ogbonnayastephen/growth-radar. There is a live demo at https://growth-radar.streamlit.app/ that requires no installation and no technical background — any founder can run a full city scan in under five minutes. The cost of a complete 200-event pipeline run is under a dollar in API credits.

I made this choice deliberately. A subscription product would have priced this out of reach for the founders who need it most. Open-sourcing it, with a free live demo, means any SBDC chapter can integrate it into their small business training programs, any chamber of commerce can demonstrate it to members, any founder running lean can use it without a budget line.

The result from a real production run

On May 26, 2026, I did a run that produced the most fantastic results. The agent processed 236 events across New Orleans, Baltimore, Dallas, Oakland, Atlanta, Miami, and Richmond. Fifty events made the final ranked delivery after filtering and scoring.

New Orleans topped the city intelligence rankings with a 9 out of 10 activity score and an 8 out of 10 gap score. The gap score is a dimension I added after the first few runs — it measures how underserved a market is by existing vendor and sponsor activity, not just how many events are happening. A city with high activity and an 8 out of 10 gap means the opportunity is large and the competition for vendor positions is still limited. New Orleans in early summer is that market.

The GovCon Conference in Richmond scored 9 out of 10 with the highest urgency rating. Government contracting conferences represent one of the highest-value opportunity types for small businesses seeking federal procurement access; the system identified this without being explicitly programmed to do so. It reasoned from the event description and the defined audience context to the correct strategic conclusion.

The tool also learns to discriminate between events that look similar on the surface and differ significantly in strategic value; the Juneteenth concert versus the Juneteenth vendor market being the sharpest example from this run. That discrimination is what makes it useful rather than just functional.

Why this matters for NJ's innovation ecosystem

New Jersey is home to over 1 million small businesses. NJEDA programs, SBDC chapters, and organizations like AACCNJ, which represents over 80,000 Black-owned businesses in the state alone, exist specifically to support founders who are building outside the venture-funded startup track. Community events are a primary channel for that entire ecosystem.

The AI tools being built by the major marketing platforms were not designed for this market. They were designed for enterprise teams with marketing departments, analytics infrastructure, and vendor budgets that most small business operators will never have. The gap between what AI can do for a small business and what the available tools actually deliver is real, documented, and not closing on its own.

Growth Radar is one response to that gap. It is a complete solution but proves one thing: this infrastructure is buildable, can be open-source, and that the people closest to the problem are often the ones best positioned to design the solution.

I grew up in Nigeria, moved to New Jersey for graduate school, and built these tools because I understood from personal experience what it feels like to navigate a market without the institutional support that established businesses inherit. That experience is the reason the tool correctly distinguishes between two Juneteenth events that look identical to an algorithm built without that context.

The question worth sitting with

Community-led growth, building a customer base through consistent presence at the gatherings where your audience actually spends time, is one of the oldest and most reliable strategies in small business. It predates digital marketing by decades. It is also the strategy that benefits most from systematic intelligence: knowing not just that events exist, but which ones are worth the booth fee, the travel, and the Saturday.

The AI tools being built right now are making enterprise marketing more efficient. That is genuinely useful. But the small business owner who relies on community presence; who builds her customer base one neighborhood event, one vendor market, one professional gathering at a time, is running a strategy that the AI revolution has so far mostly ignored.

She does not need a smarter ad platform. She needs to know which room to be in next Saturday, and why.

That tool exists now. It is free. It is open source. And it was built by a Montclair State MBA graduate in New Jersey.


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