Everything you need to write about Quibble.
Boilerplate, founder bios, brand assets, and fast facts — cleared for publication. For interviews, product demos, data requests, or anything not covered here, email [email protected].
Fast facts
The details reporters ask for first.
Boilerplate
Three approved lengths. Use them verbatim.
Quibble is a revenue management platform that sets each short-term rental night’s price to maximize expected revenue.
Quibble is a revenue management platform for short-term and vacation rental operators. Instead of nudging a base price with the broad market, Quibble chooses comps the way a guest would compare them and uses a discrete-choice model to set each night’s price where expected revenue, price times the probability of booking, is highest.
Quibble is a revenue management platform for short-term and vacation rentals. Most pricing tools move an operator-set base price up and down with the broad market. Quibble instead attaches about 30 comps to each listing, matched the way a guest would compare them (radius, bedrooms, rate band, distance), then uses a discrete-choice model to set each night’s price where expected revenue is highest, layering in demand forecasting, computer vision on listing photos, guest-review sentiment, and local event signals. Measured at cutover, Quibble’s optimized prices carry about $6 per night more expected value than base-price tools. Founded by a former airline revenue manager and an engineering lead, Quibble is based in Scottsdale, Arizona, prices more than 10,000 properties, and connects to more than 25 property management systems.
In the press
Interviews, podcast appearances, and coverage of Quibble and its founders.
Quibble in partnership with SurveyEngine
Quibble pairs its revenue platform with academic-grade choice modeling to measure consumer preferences reservation data can’t reveal.
Read the storyQ&A with pricing experts: Neal Cyr and PriceLabs co-founder Anurag Verma
Two pricing philosophies side by side — optimization versus dynamic pricing — in a live session for short-term rental operators.
Read the storyNeal Cyr, CEO @ Quibble
The origins of Quibble, and why Phoenix is one of the hottest short-term rental markets in the US.
Read the storyCohort 14 Spotlight: Dynamic Rental Pricing with Quibble
Neal Cyr on a decade of airline revenue management, consulting for a dozen airlines, and why rental pricing was ready for the same science.
Read on Blue Startups ↗Announcing Cohort 14!
Quibble is selected for the Honolulu accelerator’s fourteenth cohort — “dynamic pricing like the airlines, but for vacation rentals.”
Read on Blue Startups ↗Puerto Rico’s short-term rental community sees revenue growth amid pandemic
Co-founder Gustavo Pecunia on “pricing eases mind” and the airline-inspired algorithm behind Quibble’s early growth.
Read on News is My Business ↗Founders
Short bios and headshots, cleared for publication.
A former airline revenue manager who brought discrete-choice revenue management to short-term rentals.
Neal Cyr is the co-founder and CEO of Quibble. He spent his early career as a lead revenue manager in the airline industry, where pricing is a mathematical discipline rather than a monthly spreadsheet exercise, and he founded Quibble on the conviction that a rental night deserves the same treatment: a rate that is optimized, not merely moved.
He is a frequent voice on pricing strategy for short-term rental operators, including a live Q&A on dynamic pricing hosted by ASTRHO and an appearance on the Valley Startup Podcast. He leads Quibble’s revenue-science direction from Scottsdale, Arizona.
Download headshot (neal-cyr.jpg)
Builds the optimization engine, AI Vision, and forecasting that price every listing, every night.
Gustavo Pecunia is the co-founder and CTO of Quibble, where he leads engineering and modeling. He owns the systems behind the product: the optimization engine that solves for each night’s rate, the demand forecasting it runs on, the computer-vision model that scores listing photos, and the sentiment analysis that turns guest reviews into pricing signal.
He also builds the platform layer operators actually work in — the property management system integrations, the portfolio tooling, and the data pipelines that keep a market’s comp set current. Quibble ships continuously, and he is why.
Download headshot (gustavo.jpg)The platform, in brief
What each part of the app does, named as in the menu.
Sets each night’s price where expected revenue (price × booking probability) is highest, using comp sets matched the way a guest compares listings.
Every night of every unit on one calendar, with multipliers and stay rules at any scope.
Event multipliers, tapers, and minimum stays, with last year’s performance next to this year’s suggestion.
Steers prices toward a reference curve inside rules you set, and quantifies the revenue that is recapturable.
Booked revenue against forecast, 7-day pace, and a written daily brief of wins and losses since the last sync.
The whole portfolio ranked by occupancy gap, with booking curve, comps, channels, and listing health per property.
Your occupancy and ADR against every market you operate in, with the tracked listings on a map.
Supply, achievable rates, open nights, and demand for the markets you operate in and the ones you are weighing.
A month-by-month revenue estimate for any address across three pricing scenarios, built from nearby competitor rates.
Brand assets
Logos, colors, and type. The ZIP above has all of it.
Inter
Instrument Serif
- Use the vector wordmark wherever the format allows it.
- Leave clear space around the mark equal to the height of the “Q”.
- Place the mark on backgrounds with enough contrast to stay legible.
- Write the name as “Quibble” — one word, capital Q, no “RM” in body copy.
- Recolor, stretch, rotate, outline, or add effects to the wordmark.
- Rebuild the mark from type, or pair it with a substitute logo.
- Use the mark in a way that implies partnership or endorsement.
- Alter the boilerplate or attribute quotes that were not given to you.
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Interviews with the founders, product walkthroughs, market data, and customer introductions are all available on request.