Recent Posts
Integrating Web Services with Microsoft Excel and Google Sheets
The "Aha" Moment: How to Onboard an API Service and Get Active Users
Introducing Serverless Data Feeds
Share Data Without Sharing Credentials: Introducing Pipe-level Permissions
Lessons from the Data Ecosystem: Part 2
What We've Learned from Exploring the Data Ecosystem: Part 1
Improving Data Access: Getting Past Step One
Data Prep to Data Pipes: 5 Facets of a Data Project
Let a Thousand Data Silos Bloom
5 Steps to Faster Data Projects
About Nate Williams
I’m Nate Williams, co-founder of Flex.io and a few other startups.
I’m a data professional, city dweller and amateur oneironaut. I love new ventures, good design, landscape-changing innovation, cultural history and backpacking in the hinterlands.
Introducing Serverless Data Feeds
It’s been a busy season of coding for our team. But with frigid temperatures and snow falling, what better time to hunker down and work on a major product update?
After many long winter nights, we have a new version of Flex.io in the wild that’s loaded with goodies.
Read moreLessons from the Data Ecosystem: Part 2
In my previous post, I covered some recurring themes from our conversations with different user communities in the data ecosystem, which highlight common facets of data projects.
Read moreWhat We've Learned from Exploring the Data Ecosystem: Part 1
As we’ve progressed through our private beta, one of the most fruitful activities has been talking with folks in different user communities about their data projects. This has had a profound impact on our product vision and roadmap (including a few major pivots).
Read more5 Steps to Faster Data Projects
Data projects come in many shapes and sizes. From big data predictive analytics to small data spreadsheet projects, from building new open data applications to reconciling a couple of ERP tables in the accounting department.
Read moreDecentralized Data Projects are the Norm
In an excellent post, CIO Isaac Sacolick asks, what technologies work best for decentralized data scientists?
Read more