Autonomous Agents for Short Term Rentals

Short-term rental operators suffer from diseconomies of scale. As listing count grows, operational complexity increases exponentially, managers lose control, reviews drop, and so do rates and homeowner retention. Most are stuck between 10 and 50 listings, using 5 to 10 different software tools, none flexible enough for their needs. There is no unified data layer of their company. They navigate in the dark, reacting to problems rather than delivering hospitality. Trellis unifies everything into one platform, giving AI agents complete context over operations (communications, tasks, workforce, smart homes, bookings, accounting, revenue management) so they can orchestrate work end to end. We believe software is being commoditized. We reached feature parity with competitors in two weeks. If agents can build software that fast, then every SaaS product becomes a software builder. The vendor provides the trellis: the fixed infrastructure. The AI grows the vines: dynamic features, workflows, and interfaces that adapt to each customer. No more adapting to the tool. The tool adapts to you. But the real value is not in what the agent does for one company. It is in what it learns across all of them. Every workflow that works, every SOP that survives contact with guests, every resolution pattern that prevents a bad review feeds back into the network. The agent shares best practices, battle proven SOPs, and guest intelligence across companies. This creates a network of property management brands where the experience is designed by humans and ensured by software. Quality becomes predictable. Scale becomes unlimited. Hospitality is no longer a people problem, it is a software problem. Airbnb built the marketplace. We are building the machine that runs it.

Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies