Hi there! :grinning_face_with_smiling_eyes: 
Is it possible to trim input, by using the _'s ? Or is there a more clever way?
Input: John-Doe_recGQNicbCUqYIJ9s_coach-60bf663d8f264a0004816093
Output formula 1: John Doe
Output formula 2: recGQNicbCUqYIJ9s
Output formula 3: 60bf663d8f264a0004816093
Looking forward to some tips! Thankyou! :smiling_face_with_three_hearts:
Welcome to the Airtable community!
Yes, it is possible. I recommend using the REGEX_EXTRACT formula. I don’t have time to write up the full formulas, but this might get you started.
This will get you the first name. You will still need to substitute the - with a space character.
REGEX_EXTRACT({Field Name}, "^"^_]+")
This is the record ID, but you still need to remove the initial underscore.
REGEX_EXTRACT({Field Name}, "_rece^_]+")
This is the last bit.
REGEX_EXTRACT({Field Name}, " ^-_]+$")
Sorry I do not have more time.
On the other hand, this information is most likely stored somewhere else in the base as individual fields. A better method would be to pull the individual items across from their initial source fields.
Welcome to the Airtable community!
Yes, it is possible. I recommend using the REGEX_EXTRACT formula. I don’t have time to write up the full formulas, but this might get you started.
This will get you the first name. You will still need to substitute the - with a space character.
REGEX_EXTRACT({Field Name}, "^"^_]+")
This is the record ID, but you still need to remove the initial underscore.
REGEX_EXTRACT({Field Name}, "_rece^_]+")
This is the last bit.
REGEX_EXTRACT({Field Name}, " ^-_]+$")
Sorry I do not have more time.
On the other hand, this information is most likely stored somewhere else in the base as individual fields. A better method would be to pull the individual items across from their initial source fields.
Thankyou @kuovonne !
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