Wheelhouse is a revenue management platform for the $500B+ flex rental space. We build technology that empowers short and mid-length stay operators—managing everything from single-family homes to apartment buildings and boutique hotels. We believe a more flexible and connected world is both inevitable and important, and we're building the tools to help the businesses powering this lifestyle thrive.

Our Culture: We are a remote-first, "work-anywhere" team. We believe in the "healthy hustle"—shipping products our partners love on time, while strictly balancing work/life. We actively encourage you to make time for that adventure or vacation. If you value a transparent, collaborative environment where teammates set each other up for personal and professional success, you'll fit right in.

Open Roles:

Partnership Support Engineer: https://www.usewheelhouse.com/careers/4667492005

Senior Data Engineer: https://www.usewheelhouse.com/careers/4697043005

Full Stack Engineer: https://www.usewheelhouse.com/careers/4666784005

If you're interested in helping us build the future of flexible living, we'd love to hear from you.

Apply here: https://www.usewheelhouse.com/careers

Comments URL: https://news.ycombinator.com/item?id=48641505

Points: 2

# Comments: 0

In 2021, our target customer segment voted our platform “Innovation of the Year” at the Data & Revenue Management conference. In 2022, we closed a significant funding round (via many of the best tech, travel & real estate investors) providing us a long runway, low burn, and rapidly growing revenue.

More about us: As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. Many have worked together for 8+ years across multiple companies. We’re best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We’re a remote-first, work-anywhere, and a “yes - you should make time for that adventure/vacation” company.

What we’re looking for: An experienced (3+ years) front-end engineer with design capabilities. Someone passionate about building great user experiences and who is comfortable taking a design from exploration through to production. Ideally, they can build out designs on their own, or, with partial help from our product designer.

Bonus — Our product can be complex (lots of data, configurations, edge cases), so, someone looking to solve hard problems with a mind for simplified UIs and intuitive experiences would be ideal.

Stack - Tailwind | Chakra | Next.js | Ruby on Rails | Postgres Benefits - Competitive salary and equity. Full medical, dental and vision benefits for US employees, Fidelity 401K available for US employees, Unlimited PTO, and more.

Wheelhouse is building technology foundational to the growth of the next generation of the hospitality space. We’re a data-driven online revenue management service that helps property owners, hosts and managers understand their business, personal performance, and their local markets and maximize their revenue. Our best in class machine learning price recommendation engine provides highly localized variable pricing and differentiates us from our competitors. Learn more about our research on our blog: https://www.usewheelhouse.com/blog/wheelhouse-pricing-engine...

We’re a well-funded early stage company that has weathered the effects of Covid-inflicted downturn. We’re supported by a number of the best VCs in Silicon Valley, as well as many of the largest Real Estate and hospitality companies in the world. Oh! And, we’re a darn fun team on a path to building a meaningful and lasting company. I can promise you’ll be happy you learned more!

We currently use Postgres, Redis, R, Ruby/Rails, Grape, React, NextJS, AWS - so in depth experience in any of these areas is definitely a plus for any technical role. But we’re always open to new technologies and are just as eager to learn as you are.

We're hiring for several roles, including: Front-End Engineer — Product Designer — Backend Integrations Engineer — Data Engineer

All positions offer competitive salary, equity and comprehensive benefits. We are currently a fully remote workforce but may have an onsite presence in the future.

If you're interested in joining, please reach out to us at careers@usewheelhouse.com

Might also just be that the web-server is not handling the traffic well. Some refresh's work, others fail to load the javascript.

Now I decided to make it a bit more approachable through an interactive tool that lets you play with a polynomial that learns from incremental examples you provide. I also included some background on how the method works.

Incremental learning (in contrast to batch learning) poses a unique set of problems as the learning algorithm needs to adapt with just a single new example. Compared to the state of the art, IRMA does this through minimizing what it "forgets" about past learned data while adapting to the new example. I chose polynomials as an example as it doesn't work well with the typically used gradient descent but can be learned with IRMA in a much more stable manner.

The same approach has a closed form solution for a variety of other models (that are linear in the parameters, i.e. LIP) and I'd be interested to try and apply it to more models (like neural networks) or other tasks (like classification) as well.

I'm excited about any questions or feedback!

Comments URL: https://news.ycombinator.com/item?id=25657402

Points: 24

# Comments: 9

On a low level there is for example the "comment on" feature of SQL which won't help with other stores like AWS S3 and thus cannot be a generic solution. Then there are data catalog tools like Azure Data Catalog or Collibra Catalog which seem to be geared towards business users and not as much to developers.

I think a good solution needs to support discovery of data (e.g. through searchability and tagging) and allow to explain how to interpret the data (e.g. through detailed comments).

What are your best practices or recommendations on tools to use?

Comments URL: https://news.ycombinator.com/item?id=17609209

Points: 1

# Comments: 0

We're building a data-driven hospitality company, and data science is the foundation of our success.

Over the last 2.5 years, our team has worked to develop the world's most accurate pricing engine for short-term rentals. We use this pricing engine to power an increasing set of product lines, including Wheelhouse Pricing. Building this pricing engine required (and still requires) us to borrow from a wide range of statistics and ML approaches, including methodologies we found in bio-sciences and other realms.

Now, we're looking to add another data scientist who is passionate about building interpretable machine learning models, and taking them from research to production. These models help our software customers price their homes accurately, and also serve as the foundation of our relationships with many of the world's largest real estate companies.

Our data science team is closely integrated with the engineering team, and we are not shy of full stack tasks from DevOps to front-end integrations. We use open source and homegrown tools in a cloud environment to build the data-driven foundation of all our products.

We currently use Postgres, Redis, R, Ruby/Rails, React, AWS - so in depth experience in any of these areas is definitely a plus. But we’re always open to new technologies and are just as eager to learn as you are.

Please reach out: andreas@usewheelhouse.com

We combine this daily with an analysis of how much hosts and hotels are already increasing their prices and whether they book or not to see how much our learned base price should be increased for the Super Bowl.

The dataset is based on publicly available data from Airbnb and Homeaway.