Pacer is the embedded, AI-enabled revenue management function for short-term rental operators. We price and yield every unit, every day, on the tools operators already run, and we own the RevPAR outcome. AI does the work. Our revenue managers handle judgment and relationships.
"Instead of giving you a tool, they just do the work."
"The total spend on services is many times larger than the spend on software. And a lot of these services are already outsourced, which makes them much easier to replace with an AI-native product."
The thesis, as laid out in "Why Y Combinator Is Betting on AI-Native Agencies," is that AI handles the repeatable operating layer of the work while senior operators govern strategy, exceptions, and accountability. The company sells finished outcomes, not tools. The result is professional services at software-like margins, because AI breaks the linear relationship between headcount and revenue.
Pacer is that company for a specific, large, already-outsourced job: revenue management for vacation rentals and boutique hotels. The pages that follow map our model to the thesis point by point, show how margins expand as AI takes on more of the work, and explain why the agency model is our edge.
| The thesis | Pacer |
|---|---|
| Sell the serviceDon't give the customer a tool. Do the work. | Pacer is an embedded revenue function, not another tool to log into. We hold PMS and pricing-tool access, so we execute, not just recommend: rates, minimum stays, fees, promotions, OTA programs, distribution mix. |
| Replace, don't improveTarget services that are already outsourced. | Operators already pay for pricing tools and underuse them. Tools still need someone to run them. We replace that missing revenue team, on any pricing tool, with no migration. |
| AI does the repeatable layerHumans govern strategy, exceptions, accountability. | AI handles routine diagnostics and reporting. The revenue manager owns the strategy, approves the price, and stands behind it. Someone has to own the outcome. That is us. |
| Break the headcount linkThe next client adds minimal marginal cost. | One system pulls PMS, pricing, and market data together and flags what needs attention across the portfolio each morning. Revenue managers spend time on decisions, not rebuilding reports. |
| Data flywheelEvery engagement makes the system better. | We see many portfolios across many platforms, plus years of what actually worked in each market. A general model can't be trained on data it never sees. |
| Ride the model curveBetter, cheaper AI widens the margin. | Every better model makes our revenue managers faster and lowers our cost to serve. The labs are effectively funding our R&D. New pricing-tool agents plug into our workflow too. |
| Less key-person riskKnowledge lives in systems, not heads. | Strategy, history, and benchmarks live in our platform and the Pacer Portal. Director-level oversight on every portfolio. |
Our main cost is revenue-manager time. Our price is per unit under management, not per hour. So every task AI absorbs becomes more units per revenue manager at the same quality, and headcount grows only with the judgment the work needs.
Monitoring, diagnostics, and reporting move to the platform.
Freed hours go to more units and better decisions.
Per-unit pricing tracks units, not hours.
Shared platform cost. Better models cut cost to serve.
AI handles routine diagnostics and reporting. Revenue managers make and execute every call. The Portal adds visibility, not headcount.
The platform proposes rate, stay, and promotion changes. Pricing-tool agents plug in. White-label owner reporting ships. RMs approve.
Routine execution runs inside guardrails each RM sets. People own strategy, exceptions, accountability, and the relationship.
Software vendors sell a tool and hope it gets used. We sell the result and do the work. That position gives us four advantages a pure software company can't easily copy.
Exclusive RM Partner of Key Data. Integration Partner of Track, Guesty, and Streamline. We run on PriceLabs, Wheelhouse, Beyond, and RevMax, so pricing-tool vendors gain when we grow. A free portfolio audit opens every relationship.
We hold PMS and pricing-tool access, run the daily cadence, and power the Portal clients and their owners rely on. Contracts are month-to-month, so retention is earned every month. 83 clients billed, up from 65 a year ago, with a 19-month average tenure that keeps rising.
Software sees one operator on one platform. We see many portfolios across many platforms in 50+ markets across 7 countries, and spot a demand shift across all of them at once. That data compounds with every engagement.
We own the RevPAR outcome and prove it with same-store numbers. Simple per-unit monthly pricing means revenue grows as clients grow, while our cost to serve each unit falls.
They sell the engine. We sell the finished result. A messy vertical with PMS integrations and owner reporting is not their business.
Tools need someone to run them. Owning outcomes would mean competing with the agencies that bring them customers.
It optimizes one channel. Operators price across Airbnb, Vrbo, Booking.com, and direct through their PMS.
Enterprise revenue discipline, a full platform, and director oversight, with no hire to recruit or replace.
Early Vacasa revenue leader. Helped scale Vacasa from 600 to 44K+ homes across 16 countries, leading a 55-person team managing $2B+ in revenue across 100+ acquisitions.
Pacer's revenue team is led by operators from Vacasa, Vail Resorts, Inspirato, and VTrips.