For founders & developers
Ask your own data, before you have a data team.
You have a product, a database and a website — and no analyst yet. Point BumbleB Crunch at what you already have and ask the questions you’d ask an analyst: who signs up, who sticks, where people drop.
Live — “Growth feels flat and I can't tell where we're losing people — I don't even know the right question to ask. Where should I focus?”
Start with what you have
Your database, from your editor
Install Acorn for VS Code, connect your Postgres or MongoDB, tick the tables, and ask. Your data is read where it lives, read-only, and never copied to your workspace.
Your database, in a desktop app
Prefer an app? BumbleB Crunch Desktop reads the same Postgres, MongoDB and CSV or Parquet files on your computer.
Your website or web app
Add one tag through Google Tag Manager and ask what visitors actually do — sources, funnels, sign-ups, repeat use. You can hash user IDs in the page before anything is sent.
The files you already export
Ad spend, Stripe or order exports, a spreadsheet of customers — upload Excel, CSV or Parquet and ask about it on its own or beside your website data.
Questions to start with
Ask in your own words. Every answer comes with how BumbleB Crunch™ read the question and how it counted.
“Which signup source had the best week-4 retention?”
“Growth feels flat. Where are we losing people?”
“What share of customers bought again within 60 days, by first product?”
“Which campaigns brought people who actually signed up?”
Watch it work
A founder’s conversation
A vague worry about flat growth, turned into first questions, a plan and a named leak.
The founder's conversation
“Growth feels flat and I can't tell where we're losing people — I don't even know the right question to ask. Where should I focus?”
Three turns: BumbleB Crunch turns a vague worry into first questions, lays out a plan before running anything — flagging that traffic-source data is empty — then runs the funnel and names the leak: 12,300 lost between viewing a listing and contacting an agent.
The north star, decomposed
“The median and 90th percentile of listing views per person, and the ratio between them — are a typical user and a heavy user close or far apart?”
Far apart: the median person views 4 listings, the 90th percentile views 19 — a 4.75× gap. A thin power core carries the metric.
The spend that comes back
“We spent the same on our Google and Meta campaigns. How many sign-ups did each bring in, what was our cost per sign-up on each — and is the cheaper one the one that looked cheaper per click?”
Ad spend joined to website behavior: $12,000 each, but Google brought 960 sign-ups to Meta's 480 — $12.50 a sign-up against $25.00. Meta looked cheaper per click ($0.75 vs $2.00); the cheap clicks were the expensive sign-ups.
Which plan
Start free. The Starter plans are for one person: your own space in the data lake, website clickstream, file uploads and a SQL console. Acorn is included in every plan.
Compare plans →