The B2G Playbook Nobody Talks About (And It's Printing Money)
with Nick Lopez, Prol
The B2G Playbook Nobody Talks About (And It's Printing Money)
Show Notes
Most founders spend their careers chasing customers who are already convinced. Nick Lopez spent his learning to find customers who don't even know they need you yet - in a market worth hundreds of billions of dollars that most of the startup world has never touched.
Nick is the co-founder and CEO of Prol, a market intelligence platform built for federal defense contractors. But before you write that off as too niche or too complicated, stick with the story - because the principles buried inside this conversation are universal.
Nick started at Lockheed Martin as an engineer out of Georgia Tech, working on programs he still can't fully talk about. What he could see was a massive structural gap: the people building the technology and the people selling it were operating in completely separate worlds. Business development teams with decades of domain knowledge were spending their most valuable hours doing slow, manual research instead of talking to the customers who could change their entire trajectory. That insight became the seed of Prol.
The Pivot Framework: From Nonprofit to Defense Domination
Before Prol became what it is today, Nick and his co-founder ran through two earlier versions of the company. First, they tried connecting nonprofits with diversely owned vendors. Then they moved to helping agencies find state and local contracts at $79 a month - where they built over 10,000 users and 400 paying customers. Here is what that taught them:
- •Product-led growth without deep customer touch points produces heterogeneous, noisy feedback.
- •Low price creates zero mutual investment from the customer.
- •High churn with no clear cause is the inevitable result of building before understanding.
- •Feature creep accelerates when you have no anchor on what actually matters.
When they made the jump to federal defense contracting, they brought a completely different philosophy with them.
Frameworks from This Episode
These frameworks have been added to the AI for Founders Frameworks Library. Filter by Sales, Strategy, or Nick Lopez to find them.
The B2G Pivot Framework
When you have users but no anchor, it's not a product problem. It's a customer depth problem. Go vertical, raise the price, and let the credit card prove the market.
- •Product-led growth at low price points produces thousands of users with no shared profile.
- •Low price signals low commitment - customers churn without meaningful feedback.
- •Feature creep accelerates when you have no anchor on what actually matters.
- •A forced pivot into a new vertical with a completely different pricing philosophy resets everything.
- •The decision to move to defense contracting came from domain expertise, not market research.
The RFPs Suck GTM Strategy
The cleanest example of founder-led, zero-product sales: find the pain at the conference, pitch with a slide deck, charge for a pilot, and build the product from proof.
- •Wear a shirt that says the thing everyone is thinking but nobody is saying.
- •Ask why the process is painful instead of pitching your solution.
- •Listen, map the overlap, and identify the single core problem.
- •Pitch one prospect with a slide deck backed by manual work done in real time.
- •Close a 30-day pilot for cash before writing a single line of production code.
- •During the pilot, automate what you did by hand. The product is born from proof, not assumption.
- •The signal that a problem is real is not enthusiasm. It is the credit card.
The B2G Intelligence Framework
Defense contractors who win don't wait for an RFP. They shape the requirement before it's written. Market intelligence is what makes that possible.
- •Pursuit cycles compress from 6–24 months to 30 days under rapid prototyping mandates.
- •By the time an RFI posts, someone else has already shaped it.
- •Shaping means getting in front of the government end user before any formal process exists.
- •Understand their pain, position your solution, and map the incumbent - before the solicitation drops.
- •Just-in-time synthesis: who are the competitors, who is the incumbent, what is the contract lineage, who to call first.
- •Flat subscription pricing over token-based billing because enterprise clients want balance sheet stability.
Founder Experiment: Build a B2G Intelligence Prototype in a Weekend
Pick a vertical where large institutional buyers operate on long procurement cycles - healthcare networks, university systems, large municipalities, any space where RFP-style processes govern buying decisions. Then run this workflow:
- 1Use Claude or GPT-4 to build a simple data aggregation script that pulls publicly available procurement or grant data from one source - SAM.gov or USASpending.gov.
- 2Feed it a company profile you write manually. Describe what the company does, its past performance, and its core capabilities.
- 3Ask the model to return a match score and a list of stakeholders associated with each opportunity.
- 4Package the output in a Google Doc. Do not build a UI. Do not write a database. Just the synthesis.
- 5Present the Google Doc to one prospect and ask if they would pay $500 for a 30-day pilot of this research delivered monthly.
Why this works: This is the exact workflow Nick described - and it is now executable in a weekend. You do not need a product. You need a prototype that proves the synthesis is valuable. The credit card is the validation.
Key Terms
These terms have been added to the AI for Founders Glossary. Search by Nick Lopez to filter them.
Tools from This Episode
Prol
Market intelligence platform for federal defense contractors. Synthesizes publicly available government data to help BD and capture teams qualify opportunities, map competitors, identify incumbents, and make faster pursuit decisions - without manual research.
SAM.gov
The U.S. government's primary procurement database. All federal contract opportunities above $25K must be posted here. Free, publicly available, and the starting point for any B2G intelligence workflow.
USASpending.gov
Federal spending data - who got what contract, from which agency, and for how much. Essential for mapping incumbent positions and contract lineage before a pursuit begins.
Q&A
What is Prol and what does it do?
Prol is a SaaS market intelligence platform for federal defense contractors. It helps business development and capture teams qualify opportunities, identify competitors, map relationships, and make faster pursuit decisions by synthesizing publicly available government data in real time.
How much does Prol cost?
Prol is priced on annual subscription contracts ranging from $70,000 to $300,000 per year, depending on features selected, number of users, and depth of integration required.
How did Prol get its first customer?
The founders wore shirts that said 'RFPs Suck' at an industry conference, asked attendees why the process was painful, identified a core problem, and closed a 30-day pilot using only a slide deck backed by manual work. No product existed at the time of sale.
What is shaping in government contracting?
Shaping is the practice of engaging with government end users before any formal solicitation is published, with the goal of understanding their needs and influencing the requirements of an upcoming contract. Sophisticated contractors often initiate shaping 12 to 24 months before an RFP is released.
What is an OTA contract and why does it matter?
An OTA (Other Transaction Authority) contract allows the government to bypass the Federal Acquisition Regulation, enabling faster procurement - sometimes with turnarounds as short as 30 days. The current administration has accelerated adoption of OTAs, significantly compressing the traditional business development lifecycle.
How is AI being used in federal defense contracting?
AI is being applied to market intelligence, competitive analysis, price-to-win modeling, and stakeholder mapping. Prol's Corvus module allows BD teams to ask plain-language questions and receive synthesized intelligence drawn from vast government data sets, without requiring any prompt engineering expertise.
What industries outside of defense are ripe for similar disruption?
Nick Lopez points to healthcare as an underserved space with large institutional buyers and significant procurement complexity. Any sector with long sales cycles, large deal sizes, and publicly available procurement data is a candidate for this type of market intelligence tooling - healthcare networks, university systems, and large municipalities all fit the profile.