QuickTable

Today we got our 100th sign up users of QuickTable. QuickTable beta was launched in May 18th. After about 2 months, we achieved our first small milestone. During the 2 months, we did following:
1, Improved user onboarding guide.
2, Added user collaboration feature
3, Added more date type related functions
4, Improved user experience for some functions.

The next step is get 500 signed up users and first paid users. I hope it can be done before October.

Today we get an email from a customer who are seeking for a data tool for data democratization. They plan to migrate their current data infra to Snowflake centric on public cloud. Because there are so many data related requests from non-technical teams, they want to find a tool which can support Snowflake but easy to use for non-technical guys. That is what QuickTable designed for. Will demo how to use QuickTable connect Snowflake and use those data through spreadsheet.

As a data productivity product, QuickTable still has a lot of features need to be added. I hope we can get some real feedback from this first customer.

After about 100 days hard work, we improved QuickTable a lot based on feedback of our users.
Today QuickTable is ready for beta test. It has following highlights:
1, Easy to use like Excel
2, Can handle millions rows of data and very fast
3, Support Json format
4, Data process steps can be compiled to SQL

After 3 months of hard work, our MVP version is ready for the inviting test. It looks like a spreadsheet but is very powerful with data modeling and transformation. It can support interactively process 1G byte data interactively. And all your works can be logged automatically for future review and sharing.

Having been working with data for more than 10 years, we found that using data is still a difficult problem for most companies and users. Companies are collecting more data from different data sources with different data formats. Using data needs a team with data analytics skills, SQL skills, and python skills. And current tools either can not do that job(Excel, Google Sheet) well or are very expensive. We want to build a tool to help data users to use data easily and at a low price. That's why we come out the idea.