III
Language learning company · Ongoing

Mnememory

The problem

Most language apps drill a word until it sticks. A word sticks faster when it arrives already attached to something you can see, and almost nothing is built that way.

The constraintThe method has to be honest about its limits: a word a picture cannot hold gets a usage note instead of a forced image.

What I did

Founder, designer and engineer of both the product and the public site.

Scale
  • 10 languages at launch
  • 8 review styles
  • 5 kinds of assignment
  • Learner and classroom in one schema
ArchitectureMnememoryIII
  1. 01A keyword picture and a hook for every word
  2. 02Grammatical gender carried in the image on one fixed rule
  3. 03A forgetting-curve scheduler held on the server
  4. 04Eight review styles and a memory palace builder
  5. 05Classes, five kinds of assignment and a gradebook
  6. 06The public site around it

A language learning company built on the way memory actually works. Every entry gets a keyword that sounds like it in your own language and a hook you can see, so the word arrives already attached to something.

Gender is carried in the picture on one fixed rule rather than in a table to be memorised: masculine on fire, feminine underwater, neuter frozen. Underneath sits a modern forgetting-curve scheduler that decides when each word comes back, held on the server so the schedule is the same wherever you study.

Built learner-first, with the classroom in the schema from day one, and a per-word view of exactly what a class is losing rather than a single average.

Continue.

§ 02 · Traverse
Where to next

LewisDe La Paz

Independent practice

Colophon
TypeFraunces · Instrument Serif · Inter Tight · JetBrains Mono
PaletteCream · Obsidian · Oxblood · Saffron
BuiltBy hand, in the open
RuntimeShared hosting · No third-party trackers
MotionLenis smooth scroll · WebGL atmosphere · Reduced-motion honored