Blog
Product updates, customer stories, and practical guides for modern analytics teams.
Max Musing · December 10, 2025
Introducing Basedash Autopilot
Today we’re excited to introduce Autopilot, the next evolution of Basedash. Autopilot is an AI agent that proactively analyzes your data, finds the most important insights, and automatically surfaces them to your team.
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Robert Cooper · November 17, 2025
Row level security now available
Basedash now supports Postgres Row‑Level Security (RLS). Use the basedash.groups session variable to restrict rows per user or team across chats, charts, reports, Slack, and the Basedash Warehouse.
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Max Musing · October 28, 2025
We let AI drive our product roadmap (and it 10x’d our activation rate)
At Basedash, we built an AI agent that acts as a 24/7 data analyst and PM—analyzing all our business data, surfacing insights, and guiding product decisions. The result? A 10× increase in activation rate and faster growth than ever.
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“Basedash is the first tool that writes and runs SQL, catches its own errors, self-corrects, and genuinely nails it.”
Nathan Baschez
Founder · Lex
Read case study →
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“Before Basedash, reports could take weeks of back and forth. Now, they can be ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
Read case study →
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Tom Johnson · July 14, 2025
What is an AI-Native Product?
AI-native products aren’t just tools with AI slapped on — they’re designed around the model as the primary interface. This post breaks down the three kinds of AI products today and shares how Basedash pivoted from legacy UI patterns to an AI-first architecture, removing traditional dashboards and empowering anyone to query data naturally.
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Max Musing · June 18, 2025
Introducing Basedash: The AI-native BI platform built for today’s teams
Basedash is now publicly available. It’s a powerful, AI-native BI tool that lets you connect any data source and instantly get insights. Describe a chart or ask a question—Basedash handles the rest. Built for the AI era, designed to empower teams.
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Robert Cooper · May 19, 2025
How We Built Light Mode Without Tailwind’s dark: Class
Skip Tailwind’s dark: modifier. Learn how Basedash uses CSS variables, global state, and zero-flicker theming for a scalable light/dark mode system.
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Robert Cooper · January 31, 2025
UUID vs GUID vs CUID vs NanoID: A guide to database primary keys
When you're working on database design, how you uniquely identify each record matters—a lot. The ID type you choose can have implications on performance.
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Max Musing · October 10, 2023
Is YC worth it?
Learn how YC’s $500K offer—$125K at 7% and a $375K MFN SAFE—benefits startups. From mentorship to funding and an unparalleled network, discover why Y Combinator often outweighs its equity cost.
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Robert Cooper · April 7, 2023
Our TypeScript monorepo setup
Discover how Basedash uses a TypeScript monorepo with yarn workspaces, shared configs, tRPC, and turborepo to enable code sharing and efficient builds.
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Robert Cooper · March 10, 2023
Implementing Re-Ordering at the Database Level: Our Experience
Learn how Basedash simplified sidebar page re-ordering by switching from integer indices to floating-point values. Discover the challenges, solutions, and best practices they uncovered.
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Max Musing · February 14, 2023
How to write a successful YC application
Explore a successful YC application from Basedash’s solo founder. Get proven tips on clarity, concise answers, and genuine insights to improve your own Y Combinator submission.
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Robert Cooper · July 21, 2022
Why we had to move away from React Query
Discover how Basedash left React Query behind for a more robust Redux setup. Explore the benefits of normalized state, fewer bugs, and improved scalability.
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Robert Cooper · April 26, 2022
How virtualization increased our table performance by 500%
Learn how Basedash overcame table-performance challenges using React optimizations, virtualization, and strategic rendering. Discover their 4–5x speed improvements and key takeaways.
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Robert Cooper · June 11, 2021
Optimizing REST API calls
How we migrated to React Query and reworked our API routes to reduce data-fetching calls by half and cut initial page-load data by 3x.