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

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 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 Retool Internal Tools Developer

A full-stack developer or engineering lead tasked with building internal tools — admin dashboards, customer support panels, operations consoles. They chose Retool because writing React apps for internal use felt wasteful, but they still need to write SQL, connect APIs, and handle auth. They are a developer using a low-code tool, which means they appreciate the speed but feel the constraints more acutely than a no-code user would.

“The support team needs a tool to look up customer accounts, view their subscription history, and issue refunds.”

The Supabase Full-Stack Developer

A full-stack developer or indie hacker who uses Supabase as their backend and thinks of it as their database, their auth layer, their file storage, and their API layer at once. They came from Firebase and wanted Postgres. Or they came from setting up their own Postgres and wanted the tooling. Either way they arrived at Supabase and found a backend they could move on from thinking about. They write SQL fluently. They use Row Level Security. They are deeply comfortable in the Supabase dashboard. They have strong feelings about their Supabase tables.

“The shift was quiet.”

The Prisma ORM Developer

A TypeScript or Node.js backend developer who uses Prisma as their ORM. They chose it because the type safety and auto-generated client make database interactions feel like writing TypeScript, not SQL. They've come to depend on the schema-first workflow — define the schema, generate the client, write queries with full autocomplete. But they've also hit the wall where the ORM can't express what they need, and they have to drop down to raw SQL with a guilty feeling, like they're breaking the abstraction.

“The developer is building a leaderboard feature that requires ranking users by score within time windows, with pagination.”

The Amplitude Growth Analyst

A data analyst, growth analyst, or analytics engineer at a Series B–D company who owns Amplitude as the source of truth for product behavior. They are technical enough to write SQL but prefer not to for exploratory analysis. They've mastered the Amplitude chart types. They build dashboards that PMs and executives use but don't fully understand. They're the person in the room who says "let's look at the data" and then actually pulls it up.

“The head of product wants to know which activation milestone most predicts 30-day retention.”

The Supabase Indie Hacker

A solo developer or indie hacker building a SaaS product where Supabase is the entire backend. They chose Supabase because it gives them Postgres, auth, storage, and real-time out of the box — and they can ship their MVP in a weekend instead of a month. They write SQL directly, use Row Level Security because they have to, and treat the Supabase dashboard as their admin panel. They are building a business alone and Supabase is the co-founder that handles the backend.

“The shift was quiet.”

The Mixpanel Product Analyst

A product analyst or data analyst embedded in a product team who uses Mixpanel as their primary tool for understanding user behavior. They build funnels, analyze retention, and create the dashboards that PMs reference in every planning meeting. They know SQL but prefer Mixpanel's UI for speed. They've named every event in the tracking plan and written documentation for each one. They are the person the PM turns to and asks "are users actually using this feature?" — and they always have the answer.

“A teammate asked how they managed build funnels that accurately capture user journeys from signup to activation to retention.”

The Prisma TypeScript Developer

A backend or full-stack developer working primarily in TypeScript who uses Prisma as their database interface and considers the Prisma schema file to be the authoritative source of truth for their data model. They came from raw SQL, or from another ORM, and found that Prisma's type generation changed how they think about database access — not as a string-query problem but as a typed function call where the compiler tells them when something is wrong before it runs. They have strong feelings about the Prisma schema. Those feelings are mostly fond.

“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 Fly.io Edge Deployer

A backend developer or DevOps engineer who deploys applications on Fly.io because they need their app running close to users globally — not just served from a CDN, but actually computing at the edge. They've outgrown Heroku's simplicity, don't want AWS's complexity, and find Vercel too opinionated for non-Next.js workloads. Fly.io hits the sweet spot: Docker containers deployed globally with a CLI that feels developer-first. They're comfortable with infrastructure but don't want it to be their full-time job.

“Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about stateful workloads at the edge (databases, volumes) have limitations that aren't always clear until production in two weeks.”