“Basedash has completely changed the way we look at our metrics, and therefore our product.”

Gumloop is one of the fastest-growing AI automation platforms on the market. Backed by Y Combinator and First Round Capital, the team builds a no-code platform that lets companies automate complex workflows with AI — and they have enterprise customers scaling to thousands of users.

But Gumloop has always been intentionally lean. With a small team handling a rapidly expanding customer base, they needed real-time visibility into production data without pulling engineers away from the product.

“We’ve always believed a small team can do the work of a much larger one if you pick the right tools. Basedash fits perfectly into that philosophy.”

Before Basedash

As Gumloop’s enterprise customers grew, so did the operational surface area. The team needed to track credit consumption across accounts, monitor error rates, investigate failed runs, and answer ad-hoc questions from across the company — all against a production stack built on BigQuery and Spanner.

Without a dedicated data or ops team, those tasks fell to whoever happened to be available. Engineers wrote one-off queries. Customer-facing team members waited for answers. The friction was small on any given day, but it compounded fast.

Plugging into the production stack

Gumloop connected Basedash directly to both their BigQuery warehouse and their Spanner production database. Within days, the team had a conversational interface over the same data powering their automation platform — no schema docs to write, no dashboards to build.

“We pointed Basedash at our databases and started asking questions. There was no setup project — it just worked.”

Team members now use Basedash to look up customer runs, check credit usage, and debug issues in real time. The questions are conversational — “fetch me recent run links for this user” or “show the most active customers over the past month” — and the answers come back fast.

Automated daily reports in Slack

Where Basedash became indispensable was in scheduled reports. Gumloop set up automated reports that run every day and post directly to Slack:

• Enterprise customer credit consumption, tracked daily by account
• Users with the most error runs in the last 24 hours
• Unusual spikes or anomalies in platform activity

These reports run without anyone lifting a finger. The team sees them in Slack every afternoon, spots issues early, and acts before customers notice.

“Our Slack channel gets a daily snapshot of everything that matters — credit usage, errors, anomalies. We used to have to actively dig for that kind of insight.”

Team-wide adoption

What started as a tool for a few engineers quickly became part of the daily workflow across the entire company. Today, over 20 people at Gumloop use Basedash — engineers, operations, and customer-facing roles alike.

The team runs hundreds of conversations a month, covering everything from routine monitoring to one-off investigations like tracking down a specific customer’s workflow or identifying the most-used operators across all pipelines.

“When someone on the team needs to look something up, they don’t file a ticket or ping an engineer. They open Basedash and ask.”

Impact

Since adopting Basedash, Gumloop has replaced reactive, ad-hoc firefighting with automated daily visibility:

• Zero custom dashboards or internal tools to build and maintain
• Daily automated monitoring of enterprise customer health, delivered to Slack
• Self-serve access to production data for the entire team, not just engineers
• Hundreds of questions answered every month without a single hand-written SQL query

For a team that aims to do the work of a company ten times its size, Basedash quietly became one of the tools that makes that possible.

“Basedash is the kind of tool that disappears into your workflow. You stop thinking about how to get data and just start using it.”