Ship analysis, not copy-paste.

The job title might say “analyst” but the job itself is mostly translation. A stakeholder asks a question in English. You translate it to SQL. You pull the result, translate it back to English, usually in a Slack message with a screenshot of a chart. Repeat 15 times a day.

Most of the friction isn't in the analysis. It's in the tool-switching. Question comes in, you context-switch to your SQL editor, realize you need to pull a CSV to join against, context-switch to Excel, find out you need regex to clean one of the columns, context-switch to a regex tester, come back, lose your place, start again.

FormulasHQ is the one tab where all of that collapses together.

What analysts actually use

Data Chat is where the ad-hoc requests go. Someone sends you a CSV and asks a question. Upload it, ask the question, get the answer with the chart and the SQL it ran underneath. Three minutes instead of thirty.

Data Wizard is for when you already know what you want to write. DuckDB WASM in the browser, full SQL, join across multiple files, window functions, all of it. No database to spin up, no data leaving your laptop.

Python Code Generatorhandles the pandas work when SQL isn't the right shape. Describe the transformation, get pandas that uses the right library conventions, with the imports already at the top.

The formula, regex, and script generators cover the spreadsheet and automation long tail — the stuff you used to Google for ten minutes every time.

Why analysts end up here

Three reasons, in the order we hear them. First, the tool switching goes from four tabs to one. Second, Data Chat handles the “stakeholder drive-by question” use case better than writing a SQL query every time, which freed a surprising amount of sprint capacity. Third, the Python generator skips the “what was that pandas syntax again” tax that adds up to an hour a day for anyone who doesn't write Python from scratch every week.

Objection we hear often

“I already have ChatGPT, I don't need this.” You can use ChatGPT for a lot of this, and many analysts do. The reason people end up on FHQ anyway: the UI is built around the data, not around being a general chatbot. You see the table, the chart, the query it ran, side by side. You can trust the answer because you can see the work. And nothing gets sent outside your browser if you don't want it to.

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