sozoforever
New member
Hi, (as usual 
) against the principle of "Do things that dont scale" I was wondering if I am able to identify a potential niche / problem demand using LLM.
The original idea was to synthesize and potentially categorize the posts from Reddit, then based on the extracted information grouping them in more detail than the subreddit itself.
The categorization looks pretty good considering the lack of an available pool of categories, although because of this it came out less uniform, more like tags.
For synthesis / problem identification it is less effective, there is probably room for improvement in the prompt itself. Subreddits also play a role, some of which are content that does not contain problems, such as show offs.
Below I have included a link to sheets with some processed entries from two subreddits if you would like to check the effects.
https://docs.google.com/spreadsheets/d/1vktpvNSDUcGyTIoqikCwK0FA531TY2-yZjMayOdoRSk/edit?usp=sharing
Greetings
) against the principle of "Do things that dont scale" I was wondering if I am able to identify a potential niche / problem demand using LLM.The original idea was to synthesize and potentially categorize the posts from Reddit, then based on the extracted information grouping them in more detail than the subreddit itself.
The categorization looks pretty good considering the lack of an available pool of categories, although because of this it came out less uniform, more like tags.
For synthesis / problem identification it is less effective, there is probably room for improvement in the prompt itself. Subreddits also play a role, some of which are content that does not contain problems, such as show offs.
Below I have included a link to sheets with some processed entries from two subreddits if you would like to check the effects.
https://docs.google.com/spreadsheets/d/1vktpvNSDUcGyTIoqikCwK0FA531TY2-yZjMayOdoRSk/edit?usp=sharing
Greetings
