Newman Properties

When you get access to a deal room, you're looking at commercial leases that can run 60 to 70 pages each. National companies with national attorneys writing these things. And what you're really looking for is what's in the lease, what's not in the lease, and whether there are any weird caveats or holes you can make money through — or that would make you walk away.

Right now that's Alex. Weeks per deal, going through every word. You can't always know what you're looking for in advance, because the gaps are the point.

Start here: it pays for itself fastest and lays the groundwork for the other two.

We'd build a tool you drop the deal room PDFs into. It reads every lease and surfaces a structured breakdown: rent bumps, escalation clauses, sales-tied provisions, non-competes, co-tenancy requirements, early termination rights. Every finding ties back to the exact page and section it came from, so you can go straight to the source to verify.

Alex still thinks through the strategy. You still make every call. But instead of weeks of reading to find what's there, you start from a clear picture of what each lease actually says and spend your time on the caveats and holes that matter.

50,000 leads. You look at 1,000. You dig in on 20. You buy one or two.

CoStar and LoopNet are already sending alerts to your email box when something new hits your saved searches. The problem is it's all landing together. Properties in Ohio, California, Missouri. Wrong size, wrong type, wrong market. You're spending time on emails you're going to pass on anyway.

We'd connect to your Google email box and build a triage layer that reads incoming deal emails against your criteria. Geography, asset type, deal size. Whatever your box actually looks like. Leads that don't fit get archived before you ever see them. The ones that do fit come through flagged, with a short note on why they made the cut.

Nothing gets deleted. You still make every call. You just stop seeing the ones you were going to pass on anyway.

When you run a campaign, you run it by hand. The Boston Food Bank fundraiser meant texting and emailing 200 people once a week for two months straight, tracking who gave, sending thank-you notes yourself. You raised $28,000. It worked because you put in the time.

But it's meticulous. And it's not something you can hand off or run again without starting from scratch.

We'd build a reusable campaign system you load a contact list into and configure once: who gets contacted, what channel (text or email), what sequence, what timeline. You write the messages. The system handles the scheduling and the sends.

It checks your donation site for who's already given and routes thank-you notes automatically. What you liked about this idea was being able to run it every year. That's exactly what this is. You set it up once, and next time you update the list and the messaging. You don't rebuild from scratch. Same system works for broker outreach, tenant communication, or any other list-based push.

Every Friday you get a list of 400 to 500 bills. You spend about 10 minutes scanning down it. If a big bill jumps out, you see it. If you're moving fast, or the spike is subtle, you might not.

And when something does get caught, there's a chain that follows. You delegate it to a property manager, check that they got it, follow up to confirm it got handled. That chain runs through you right now.

We'd build a monitor that watches your bill data and flags anomalies automatically. Each property gets a baseline from its history. When a bill comes in above that threshold, the system catches it, alerts you, and kicks off a notification to the right property manager with the details they need to act.

You get notified that it happened and that it's been handed off. No manual scan. No gap in the chain. It just computerizes and automates what you're already doing by eye.

There's a lot of turnover in rental agents. In the winter, there's no business. They become sales agents, or they move on. By the time your listings come in for next season, the agent pool you knew has changed.

Finding the new 20 or 30 agents who are hot and heavy in a market right now, the ones who just got their license or moved to the area, is a manual research job. And it needs to happen every January or February, market by market.

Every licensed real estate agent in Massachusetts is in the state's public licensee database. We'd build a system that pulls a fresh copy each season, diffs it against your prior list, and surfaces net-new active agents by market: Salem, Winthrop, wherever you need coverage that year.

New agents get filtered against your criteria — active license, right geography, residential focus — and staged to add directly to your MailChimp list. One trigger per market per season. You start emailing out your listing sheet to the right people instead of spending time finding them first.

One honest note: the state database comes via a form request rather than a live feed. The seasonal refresh is a one-step trigger, not a fully automated pull. We'll validate early in the build whether the state's licensing API supports automated querying, which could make future refreshes fully hands-off.