
Trellis
https://trellistech.comAutonomous 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