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Using Airtable to Track and Analyze Letter Boxed Game Strategies

  • February 12, 2026
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Hellen54302
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Hi Airtable Community! 👋

I’ve been working on a small project where I use Airtable to track and analyze my daily Letter Boxed (NYT word puzzle) performance, and I’d love some advice on improving the structure and automations.

🎯 What I’m Trying to Do

I want to build a base that:

  • Stores daily Letter Boxed puzzles (letters on each side)

  • Logs the words I used to solve them

  • Tracks number of words per solution (2-word solves, 3-word solves, etc.)

  • Calculates average solve efficiency over time

  • Identifies commonly reused word patterns

🗂 Current Setup

I currently have:

Table 1: Daily Puzzles

  • Date

  • Letters (long text field)

  • Word Count (formula)

  • Difficulty Rating (manual select)

Table 2: Words Used

  • Linked to Daily Puzzles

  • Word

  • Word Length

  • First Letter

  • Last Letter

I’m using formulas to check:

  • Whether the last letter of Word 1 matches the first letter of Word 2

  • Total character coverage of all 12 letters

❓ Where I’m Stuck

  1. Is there a better relational structure for tracking multi-word chains?

  2. What’s the best way to automatically calculate whether all 12 letters were used at least once?

  3. Would an automation or script extension be more efficient for validating puzzle rules?

  4. Any suggestions for visualizing trends (e.g., average words per solve per month)?

💡 Goal

I’d like to turn this into a small analytics dashboard to improve my puzzle-solving strategy over time.

If anyone has built something similar (game tracking, word analysis, performance dashboards), I’d love to see examples or get suggestions!

Thanks in advance