zack hendlin

Ever spent *too long* researching an investor, sales prospect, or hiring manager to write the perfect message on LinkedIn that will stand out from the generic noise? We did too. We built SuperKeen.AI as an internal tool to reach out to sales prospects and people we wanted to hire with thoughtful and personalized messages while automating the research that goes into drafting the perfect InMail...

is this pretty much like deepnote? What would you say the core differences are?

After trying every BI tool out there, writing a ton of Python and SQL code to answer questions, and feeling like *there had to be a better way*, we created Zing Data AI. 🪄 It lets you choose how you want to work -- natural language to query data, or drag and drop, or a SQL typeahead. Unlike most other 'AI data tools' out there, with Zing everything is directly editable visually. 🚫🐞 No...

Congrats on the launch @peterfishman and team! Having all these pieces well integrated (and free to try) is a huge time saver for getting a great data stack up and running!

Co-founder of Zing Data here, and stoked to share 3️⃣ great ways to query and visualize data your phone with Zing. 📱📊🚀 1️⃣ Natural Language Querying or Dictation ⌨️🎙️ Just type your question using regular English and Zing will query your data (Postgres, mySQL, Snowflake, gSheets, etc) using OpenAI's GPT-3 large language model. 2️⃣ Visual querying 🎨 Tap on field names to select them, and long tap to...

Exciting product updates since launch: - We've added Postgres, MySQL, and Google BigQuery support - Added additional graph types - Multiple data sources can be configured at once - You can add data sources from your phone - Support for long running queries where you'll get a notification when they are complete - Filtering to INCLUDE, EXCLUDE, select date ranges, and do value comparisons -...

Writing SQL queries was a pain and this friction makes data available only to a small set of folks. Data tools generally suck or are really expensive. Tableau, Looker, Domo and Power BI were built at least ten years ago for desktop - and it shows. Thats why I set out to build an easy, visual way to ask questions of data (not just view old dashboards that somebody had to create on a desktop),...