Contacts, ideas, and feedback from every meetup are scattered across notes and memory. Nate and Kai build a real database to track them: tables, SQL, and a graph model for when the relationships get too tangled for rows and columns.
00
Contacts, ideas, and feedback from every Founders Table are scattered across notes, DMs, and memory. Nate and Kai learn why a real database beats another folder of notes.
01
Primary keys, foreign keys, one-to-many. Nate and Kai model their contacts, ideas, and feedback as real relational tables.
02
SELECT, WHERE, JOIN, GROUP BY. Nate and Kai learn to ask their own data a real question and get a real answer back.
03
Who-introduced-who at Founders Table doesn't fit neatly in rows. Nate and Kai meet graphs: nodes, edges, and when a graph beats a table.
04
Queries become a real tracker. Nate and Kai turn raw rows into a small studio dashboard that actually tells them what's working.
05
The SQL syntax and graph vocabulary Nate and Kai keep looking up until it finally sticks.