Customer-facing dashboards are no longer just a “nice to have” - they’re mission-critical for modern SaaS platforms. But for product and data teams, building and maintaining those dashboards can be a source of friction: version control mishaps, connection headaches, and time-consuming debugging.

At Explo, we’ve been listening closely to the developers and analysts building embedded analytics every day. Today, we’re excited to launch a suite of AI-powered features that directly improve developer experience and remove friction from the dashboard creation process.

The Problem: Dashboards Are Still Too Manual

While dashboards might appear seamless to end users, they often hide layers of behind-the-scenes complexity:

• Iterations slow as teams collaborate without visibility into their colleagues work.
  
  
• Query troubleshooting burns sprint cycles, especially for analysts stuck in SQL trial-and-error.
  
  
• Data connection errors slow progress, requiring engineering support to move forward.
  
  

The result? Too much time spent on the “how,” not enough on the “why.”

The Solution: Explo’s AI Features Streamline Developer Workflows

We’ve introduced three major updates to accelerate dashboard delivery, reduce technical friction, and improve clarity across teams.

1. AI-Powered Version Control: Track Changes with Confidence

Keeping track of dashboard changes can quickly become chaotic. Our new Version Control AI summarizes updates in plain English—so you can understand what changed, when, and why, without diving into commit logs.

• Human-readable summaries of every dashboard change
  
  
• Attribution metadata (who made the change and when)
  
  
• Easy rollback to previous versions
  
  

It’s like Git meets Google Docs—tailored for embedded dashboards.

2. Datasource Debugging AI: Resolve Connection Issues Instantly

Adding a new data source should never mean opening a support ticket.

Our Datasource Debugging AI helps developers diagnose and resolve integration issues in real time. Whether it's a schema mismatch or expired credential, the system walks you through three core actions:

• Debug: Identify and explain the error
  
  
• Optimize: Recommend connection improvements
  
  
• Explain: Provide context in simple language for quicker fixes
  
  

No more guesswork or redundant back-and-forth with your data engineering team.

3. Improved Dataset AI: Smarter Query Optimization and Debugging

Explo’s existing Dataset AI just got an upgrade.

Now, in addition to helping build queries, Dataset AI actively surfaces opportunities to optimize your SQL queries and debug any issues.

• Suggestions to fine-tune query performance based on the underlying database type and schema
  
  
• Help debug SQL errors with actionable suggestions
  
  

Developers stay productive, analysts stay unblocked, and end users get a better product.

A Word from Our CEO

“With these new AI features, we’re giving our users more power with less effort,” said Gary Lin, CEO of Explo. “Our goal is to eliminate the guesswork—so teams can focus on creating beautiful, data-rich experiences their customers will love.”

How to Get Access

These features begin rolling out to customers starting May 29th.

If you’re interested in enabling these updates for your workspace, reach out to Explo Support to request early access and onboarding guidance.

Ready to Build Smarter?

If your team is looking to:

• Build dashboards faster 🛠️
  
  
• Debug data issues more effectively 🧩
  
  
• Deliver high-performance, polished analytics at scale ⚡
  
  

Now’s the time to explore what’s new in Explo.

👉 Visit www.explo.co or log in to your account to get started.

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