Fabi.ai December 2025 Product Updates: Application connectors

TL;DR: Fabi now connects to your data sources across multiple platforms through new application connectors (starting at $100/mo after free trial). The update includes a streamlined home interface that reduces clicks between questions and insights, making it faster to start analyses. Additional resources include podcast appearances discussing the future of data science and AI product development, a tutorial on connecting Fabi's AI Analyst Agent with Claude Desktop or others via Fabi MCP, and an upcoming live demo on automating data workflows across Google Sheets, Slack, and email.

Fabi.ai December Product Update

Your data lives everywhere. Now you can talk to it from anywhere.

๐Ÿ”Œ Application connectors: Connect to all your data

From day one, our goal has been simple: help teams find and share insights incredibly fast, no matter where it lives. Today, we're making that vision a reality with our new application connectors. Most companies have data scattered everywhere: databases, CRM tools, product analytics platforms, marketing systems, and dozens of other apps. Now you can connect them all, from Amplitude to Stripe and everything in between.

This is our biggest unlock to date, and itโ€™s available right now.

We're excited to see what you'll build in Fabi with all your data finally connected.

Pricing details: Application connectors are part of the free trial and start at $100/mo afterwards.

๐Ÿ  Redesigned home experience: From question to insight in seconds

Fabi is the fastest way to do any analysis and we strive to remove as many clicks as possible. We've streamlined how you kick off an analysis in Fabi to eliminate the friction between having a question and finding an answer.

What's new:

  • Zero clutter: A clean, focused interface that gets out of your way
  • One-click start: Go from question to active Smartbook instantly
  • Faster discovery: Find recent analyses, templates, and data sources without hunting

The result? You spend less time navigating menus and more time exploring your data. Whether you're building a new dashboard, running an ad hoc query, or picking up where you left off, the new home experience gets you there faster.

๐ŸŽ™๏ธ Podcast

Data science is here to stay

In the recent episode of the Data Neighbor Podcast, Lei, one of our co-founders and CTO, shares why the future of data science isn't about who writes the best code but about who understands the business and asks the right questions. As AI transforms how we work with data, the human skills of curiosity, context, and critical thinking become more valuable than ever.

Why AI needs guardrails to be useful

Lei also joined a conversation about building AI products on Timothรฉ Frin's documentary series. The episode features insights from leaders at OpenAI, Google DeepMind, YC, and more, all discussing how AI is reshaping how we build products. Lei's key insight: AI tends to "boil the ocean." Without explicit guardrails, it will try to refactor everything instead of solving the specific problem at hand. This speaks to something we think about constantly at Fabi: how do you give AI enough freedom to be powerful, but enough structure to stay focused?

๐ŸŽฅ New tutorial: Chat with your data from Claude in under 10 minutes

Stop waiting for dashboards or writing SQL queries. This step-by-step video tutorial shows you how to connect any database to Fabi's AI Analyst Agent and integrate it with Claude Desktop via MCP for instant ad hoc analytics.

What you'll learn:

  • Connect your database (we use Supabase in the demo) to Fabi in minutes
  • Set up the Fabi MCP server with Claude Desktop or Cursor
  • Ask questions in plain English and get instant answers from your data
  • Extend the setup to Slack, email, or other tools your team already uses

Perfect for founders who need quick metrics, product managers exploring user behavior, or anyone who wants to move faster without learning SQL.

๐Ÿ“บ Live demo: Automating your data workflow

Most teams drown in data but starve for insights. Workflows solve this by sending the right information to the right people at the right time.

In this hands-on session, we'll build three real workflows together:

  • Dashboard vs. workflow: Learn when to visualize vs. automate
  • Workflow anatomy: Understand how data flows from source to action
  • Multi-channel delivery: Push insights to Google Sheets, Slack, and email
  • Live builds: Watch real workflows come together with best practices

This session is for product managers monitoring metrics, sales managers tracking pipeline health, or founders keeping tabs on customer acquisition. You'll see exactly how to automate insights that move your business forward. Register now

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