Max Musing

About

I'm the founder and CEO of Basedash, an AI-native business intelligence tool that lets you ask questions about your data and build dashboards. I went through Y Combinator in the Summer 2020 batch and have been building Basedash in public since then (check my launches for proof!).

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3d ago

Basedash Audit Logs - Every action in your BI tool, on the record.

Native audit logs for Basedash — every sign-in, query, and configuration change is on the record, including every query the AI runs, attributed and traceable. Answer who saw what, when with one filter, stream events to your SIEM, set retention to match your policy, and pull the log through the API. Built for security reviews and enterprise rollouts, alongside SSO, SCIM, and RBAC. Your BI tool finally has a memory. Every action, on the record.

🔌 Every feature you ship should also be an endpoint

The rule is simple: if your product can do something, code should be able to do it too. Chat, reports, settings, whatever. One feature, two surfaces.

This has always been good practice, but agents just changed the math on it completely.

⛔ Stop building your product analytics in-house

I've watched this happen at least a dozen times now with teams we talk to: customers start asking for analytics, the team says "how hard can charts be," and 2 quarters later they've shipped a worse version of a BI tool and their actual roadmap is on fire.

The problem is that customer-facing analytics looks like one feature but it's actually 5 products stacked on top of each other:

  • A query layer against production data

  • Charting that doesn't look terrible

  • Permissions and multi-tenant isolation (get this wrong once and you're writing a security disclosure)

  • Performance that holds up when a customer asks for 2 years of data

  • And now, because every customer expects it, an AI analyst that actually gets answers right

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