Graph view for podcasters
See the whole library at once.
See every note you have written about an episode and the ones you forgot were connected. Most podcasters find a theme running through a back catalogue that they never filed as one.
Every linked note plotted across the whole library
Spot clusters you never filed together
Jump straight from the graph into a note
Note stats alongside it for how your writing is spread out
Connections you did not plan
Two notes from different months turn out to be about the same thing.
Links do the work
Link note to note as you write and the map fills itself in.
Where your attention went
Note stats show what you have actually been writing about.
Jump from the map into the note
Click a dot and you are reading the thing it stands for.
Clusters your folders missed
Notes filed in three places show up as one group on the map.
The wide shot of the library
Everything you have written, on one screen, at the same time.
the cold open
Three things that stop eating the edit day
Skip the feature list. This is what changes between the recording stopping and the episode going out.
01
An hour of audio, and the show notes still have to be written by hand.
Turn an episode into text you can use
Drop the audio into a note, get a transcript, then ask for the summary and the timestamps worth clipping.
02
Guest research is in tabs, DMs and a doc you cannot find.
Show up to the interview prepared
Keep guest research in one note and ask for the five questions your notes suggest.
03
You know episode forty covered it and you would have to scrub to find where.
Remember what episode forty said
Search the whole back catalogue by topic instead of scrubbing through audio.
an episode
What that looks like for podcasters
Three points between recording and publishing where the app pulls its weight.
01
Before recording
Collect the guest research, links and questions in one note you can read from.
02
Straight after
Drop the audio in, get a transcript, and mark the parts that will make clips.
03
Publishing day
Ask for show notes built from the transcript and export them.
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
Memory
The agent remembers what you tell it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings become text, with who said what
Open
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
Open
listener questions
Questions Before You Install It
The rest of them live in the help center.
Get show notes out of it.
Guest research, running orders, recordings and transcripts in one library, so an episode becomes show notes, clips and the prep for next week without starting from nothing.