Honeydew

The home for shared data logic

Y CombinatorWinter 2023ActiveB2BAnalyticsSaaSB2BAnalyticsData Engineering

What they do

Problem

Data teams struggle to support many changing data use cases without breaking consistent shared metrics and data truth across tools and workflows.

Solution

Honeydew provides an automated semantic layer that validates changes and propagates shared data logic updates across every downstream data flow.

Who it's for

Data teams and analytics/BI engineers at organizations supporting many data consumers across multiple tools.

Founders

David Krakov

Founder

My last 20 years are in and around data and software. At the first startup I founded, Varada (acq. by Starburst), we created an acceleration engine for data lakes - helping queries run faster on huge amounts of data. Before becoming a founder, I was an early employee at XtremIO (later EMC) - which became the market leader in all-flash-storage. Even before that, I was a computer science and physics nerd. Still am. I live in Tel Aviv with my wife and two kids.

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Baruch Oxman

Founder

I have been in software for over 20 years, leading technology and engineering, and building products around data. I was the first employee of Implisit, building AI for sales. After being acquired by Salesforce, I led the architecture and engineering of Einstein for Sales. My passion is traveling, cycling and finding simple solutions for complex problems. I live in Tel Aviv, with my wife and 2 daughters.

Liron Slonimsky-Shemy

Founder

In my previous life, I worked as a script writer (and even won first prize for best drama feature), I pivoted and decided to "produce" my scripts in real life by opening a startup. At my first startup, Awear, we did "Frequent-Flyer for fashion" - We sold data to fashion companies showing how people are actually wearing their garments. Currently living in Tel Aviv with my husband and our two kids - Orr and Eyal.