Who actually uses these products,
and what made them stay.

The Hex Data Analyst

A data analyst or analytics engineer at a company with a modern data stack — dbt, Snowflake or BigQuery, and a growing demand from business stakeholders for self-service data access. They use Hex because Jupyter notebooks are hard to share and dashboards aren't flexible enough. Hex sits in the middle: code-first enough for real analysis, shareable enough that a PM can click through an interactive version without needing to run code. They build notebooks in Hex. Business people use the published apps. This is the workflow they've been trying to build for years.

“A teammate asked how they managed build analyses that colleagues can interact with without running code themselves.”

The Hex Collaborative Data Analyst

A data analyst or analytics engineer who uses Hex because it combines everything they used to do across 3–4 separate tools into one collaborative environment. They write SQL to pull data, Python to transform it, and build visualizations and dashboards — all in the same notebook. They share their work as interactive apps that stakeholders can explore without learning SQL. They've replaced Jupyter notebooks, Mode, and Google Sheets with Hex. They are the data person who makes data accessible to people who aren't data people.

“The marketing team asks: "Which campaigns drove the most pipeline last quarter?" The data analyst opens Hex, writes a SQL query to pull campaign data, joins it with pipeline data, and adds a Python cell to calculate attribution.”

The Cursor AI-Native Developer

A software developer with 2–10 years of experience who switched to Cursor after a trial period and didn't go back. They've restructured how they code around the assumption that AI is in the loop. They write less boilerplate. They spend more time reviewing and directing than typing. They're faster on unfamiliar codebases than they've ever been. They're also developing opinions about when AI help hurts — about the kinds of errors that look right until they don't.

“The shift was quiet.”

The Replit Non-Traditional Builder

A student, career changer, or self-taught developer who is building real things before they've mastered the full developer toolchain. They use Replit because it removes the setup. There's no local environment to configure, no PATH to fix, no version conflicts. They open a browser, pick a language, and the environment exists. They have learned more by shipping things than by completing tutorials. They have strong momentum. They have significant gaps. This is not a problem — it's a developmental stage.

“It happened mid-workflow — they're building a personal finance tracker.”

The Replit Coding Educator

A coding instructor, bootcamp teacher, or CS professor who uses Replit because it eliminates the "but it works on my machine" problem. Every student gets the same environment, in the browser, with no setup. They can see student code in real time, run it, and give feedback without cloning repos or debugging local environments. They've taught programming long enough to know that environment setup kills motivation faster than any algorithm does. They chose Replit to remove the barrier between "wanting to code" and "coding."

“A teammate asked how they managed eliminate setup and environment issues so students can focus on learning to code, not configuring tools.”