Retailers and fashion brands have a wealth of data available, but it's locked away in legacy systems and siloed third parties. For them, figuring out what products are selling in their stores or online, or what’s running out of stock is a daily struggle.
This is what we fix. We’re not just doing reporting - our product is an end-to-end retail analytics stack that supports aggregating all of the data available. International retailers and fashion brands rely on us to make decisions for their business, every day.
Our product is loved by our customers and has extremely high engagement - users have told us that they would cry if they lost access to 42.
We are a Y-Combinator backed company, co-founded by two Forbes 30 Under 30 recipients and serial hackathon winners. Our team members come from P&G, SAP, HBS, Stanford Health Care, and Flexport.
We are a no-ego collaborative group! We are always open to sharing ideas about how to improve the platform and processes.
Our engineers have a high-degree of autonomy, but we all work together to improve the core product and frameworks. Our process is simple and lightweight, as we're still growing the engineering team.
We do pair programming or white-boarding sessions to solve unfamiliar problems. We encourage pull requests for bigger changes, but engineers are also able to push to production directly.
Every quarter, we collaborate on high-level goals for the engineering team, both as a company and for the product roadmap. We then have bi-weekly meetings to track the progress of these goals, plan bigger codebase changes, and introduce new framework features to other engineers. We also have a company-wide meeting on Mondays, where engineers demo product-level changes.
We need to keep things fast and granular, even when doing hundreds of aggregations over 250m+ rows across dozens of tables.
We're also constantly improving our integration framework, and we are looking at ways to make the process more automated.
You'll be talking directly with brands you've heard of, and you'll have a direct impact on their bottom line. At the same time, you'll be making big improvements to our integration framework and onboarding process.
Integrate with time-series prediction libraries (or create a model), and give our users the ability to perform forward-looking queries.
Enable end-users to fork and make live modifications to their data (ex: item attributes), and push those changes to other users and source systems.
We're detail-oriented, ambitious and product-driven. We love hearing our customers say
wow when we show them what we're up to.
Everyone has a paid MealPal subscription, and we all have lunch together. We also do weekly snack runs, and you can order whatever you like.
Interested in this company?
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