Mind maps for researchers
See how one topic hangs together.
A long note about an argument becomes branches you can follow, which is a different pass over the same material than reading a literature review again.
A mind map generated from any note in one step
Branches follow the structure you already wrote
Zoom around the map on desktop or phone
The map stays attached to the note it came from
Structure you cannot see in prose
Long notes hide their shape. A map puts it back on the surface.
Revision that is not rereading
Walking a map is a different pass over the same material.
Built from your note, not a template
The branches come from what you wrote, in your own words.
Results
Three things that stop being a problem
Feature lists are easy to write and hard to care about. This is what changes for researchers.
Stop rereading papers you already annotated
Ask what your notes say about a method and get the answer with the note it came from, ready to cite.
Turn interviews into text the same day
Record the session, get a transcript in the note, and code it while it is still fresh.
See how the threads connect
Link notes to each other and use the graph view to spot the argument forming across a year of reading.
In practice
What that looks like for researchers
A few moments in a normal week where the app earns its place.
Reading a new paper
Drop the PDF into a note, write alongside it, and tag it into the theme it belongs to.
Fieldwork day
Record on the phone, add photos, and let it all sync back to the desk copy.
Writing up
Ask for every note that touches a concept, then pull the quotes into the draft.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
AI Agent
Chat that reads your library and can act on it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings and lectures become searchable text
Open
Flashcards
Decks built from the notes you wrote
Open
Quizzes
Test yourself before it counts
Open
Graph view
How your whole library connects
Open
Ask what you already read.
Papers, interviews, field notes and half formed arguments in one local library you can question in plain language, months after you filed them.