Research Teams
A lab PI whose group's collective knowledge walks out the door every time a postdoc graduates.
[ 01 ]The problem
Labs lose their memory on a two-year cycle. The negative results, the calibration quirks, the reason method B was abandoned — none of it is in the papers, all of it is in departed people. New members repeat old failures because the failure was never written anywhere queryable.
[ 02 ]How Mynd handles it
The lab gets an institutional memory
Y0's shared graph holds protocols, notebooks, negative results, and decisions — attributed and versioned, surviving every graduation.
New members onboard against the graph
A new student's questions resolve against the lab's actual history: why method B died, which instrument drifts, what the last three attempts at this assay looked like.
Runs are reproducible by trace
Every analysis run records its inputs, parameters, and outputs — so 'how did we make figure 3' has an answer two years later.
[ 03 ][ example run ]
plan ✦ onboard: new phd student — assay project context ✓ lab graph — 4 yrs protocols + notebooks context ✓ prior attempts: 3 — incl. 2 negative execute → briefing pack: what failed and why execute → protocol v6 annotated with drift notes result ✓ student productive in week 1 · failure #4 avoided
[ 04 ]of repeated-failure time saved per hire