▲ | throwup238 3 days ago | ||||||||||||||||||||||||||||
I have a similar type of product that depends on a third party and I use LLMs to automate most of the work. I feed it batches of Discord/Discourse messages from the third party’s community along with a prompt containing my feature set and it flags messages that might be relevant so that I can reply to them (manually, although the LLM generates some starting points based on examples replies). The false positive rate at first was over 50% but with some prompt tweaks and back testing, it’s approaching 10-20% | |||||||||||||||||||||||||||||
▲ | kevmo314 3 days ago | parent [-] | ||||||||||||||||||||||||||||
That tool itself might be worth publishing. I've noticed some cofounders (Supabase's kiwicopple comes to mind) that are very on top of HN comments and I am not sure if they're literally reading all the HN comments or doing that in some automated, "notify me when someone talks about Supabase" kind of way. Could be very valuable to notify when even a related discussion happens! | |||||||||||||||||||||||||||||
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