jhoetter

I thought this could be interesting - sharing how we iterated from a no-code product for non-technical users to a developer platform, and from proprietary to open-source.

For anyone who is currently facing similar challenges, this could be worth a read :)

Awesome that you guys finally went open-source :)

Very much needed. Spoke with many of the people listed on the repo, can confirm that they are not only open-source but generally very kind and trying to help. Using this for our current fundraise, and hopefully using this for our next one, too :)

Annotation platforms use Excel. I once received 25 files of separate Excel spreadsheets from a labeling service for 10k texts (short texts about product titles, e.g. "Sauvignon blanc" -> "wine"). Had to merge them, which wasn't as easy as you'd might expect.

Also, I once labeled 5,000 texts during my master's degree via Excel. Was painful as hell.

Thanks Francis! Means a lot :)

My guess (some if this we already have, some we don't): - automation: integration of heuristics (multiple columns that you can program via formulas and such) - exploration: finding outliers or most similar records given some reference (e.g. "I want to label more rows that are about business news in some extent") - monitoring - labelmanagement [which we don't offer yet in the extent we'd like to]: merging and splitting labels etc.

generally anything that scales and "somewhat" guarantees the users to input valid labels.

But it definitely offers something that new tools don't: users are super familiar with it.

Thanks, means the world!