Kudos on building something cool to solve a pain point, but unsure about the efficacy of this implementation. A list of negative-sentiment tweets about competitor products is certainly a good place to start, but is by no means a list of actionable leads. Still requires quite a bit of human interaction to figure out which tweets are actually solid leads, and is only truly useful if your competitors have only one product.

You also miss out on users asking for suggestions who aren't currently using a competitor product (which IMO is a more valuable segment).

A more interesting implementation is one that takes context into account, but that would require some homemade ML work and likely outside of the scope of quick & hacky solutions.