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Turning Data into Dialogue: An AI-Powered Podcast Experiment



At GraceBlocks, we're always looking for innovative ways to understand the market, our competition, and most importantly, the needs of our users. We know GraceBlocks is a powerful contender in the no-code space, especially as an alternative to Airtable for building employee-based tools. Our built-in capabilities for email/text communication and robust forms that update data in real-time make us ideal for streamlining employee and applicant workflows.

But how do we truly grasp the nuances of the market and stay ahead of the curve? Recently, I embarked on an experiment that blends data with a dash of AI magic: I created an AI-powered podcast!

Here's how it worked:

  1. Data Collection: I gathered a week's worth of posts from the Airtable subreddit, a treasure trove of user experiences, pain points, and discussions about Airtable to see what users were discussing. What was working, what they had issues with, etc.

  2. AI Transformation: I then fed this raw data into a tool called Google's NotebookLM, a powerful tool that can synthesize information and generate conversational content. Listening to podcasts is a great way to learn about stuff.

  3. Podcast Generation: NotebookLM processed the data and produced a podcast episode summarizing key themes, user sentiments, and competitive insights.

The result? Check it out for yourself. A fascinating audio snapshot of the Airtable community and the broader no-code landscape. You can listen to the AI-generated podcast here. It's super impressive what they can do. And recently, they added the ability so you can tell the AI to focus on specific areas...making it even more relevant to what you want to learn about.  


This experiment was an exciting exploration of how AI can help us make sense of vast amounts of data and extract valuable insights. By turning raw data into a digestible dialogue, we can better understand:

  • User Pain Points: What are users struggling with? Where do existing solutions fall short?

  • Competitive Landscape: What are our competitors doing well? What are their weaknesses?

  • Emerging Trends: What new ideas and trends are shaping the no-code space?


Airtable is an amazing product and solves for so many use-cases, but I was encouraged to hear/learn about the many of the challenges existing Airtable users run into, and how our solution uniquely deals with them. 

This is super apparent when a company is trying to create solutions around employee and applicant workflows, where you need to be able to automate collection of data which UPDATES existing records in the DB. 
If you are trying to use Airtable to build an employee/applicant solution, you know of which the challenges I speak. We should talk! 

This is just the beginning...I think creating other podcasts focused on where users might be running into similar challenges from solutions like SmartSheets, Clickup, Monday.com could be educational for both us and others who are trying to understand what options are available. 

As is so often the case, solving a problem begins with finding the right tool.


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