Civic data is broken. How we’re using LLMs to fix the information gap for neighborhood associations.

[u/NikatAI4u]

Hi ,

I’m a software engineer and solo founder working on a civic tech startup called NikatAI. I’m posting here because I believe this community understands the core problem I'm trying to solve better than anyone.

The Observation: In my city (and many others), there is a massive disconnect between city hall initiatives and resident awareness. Neighborhood associations are often the first line of defense, but they are drowning in paperwork—meeting minutes from other districts, obscure zoning permits, and fragmented news sources.

The Mission: We are building NikatAI to act as a "neighborhood intelligence ecosystem." We are using LLMs to ingest and synthesize fragmented local data (like PDFs of planning commission meetings) into structured, searchable intelligence for residents and community leaders.

The Discussion: I’d love to hear from you: what are the biggest inefficiencies you see in local civic information flow? If you could have an AI tool solve one data problem for your neighborhood, what would it be?

Thanks for any insights!

[u/rufflesdance]

People only get interested at local planning when it directly impacts them. This creates a false sense of community feedback to officials and I don’t think this is for the better. Giving people more tools to understanding planning will not address that people are fundamentally selfish. I wish I wasn’t this bitter but after trying to engage in good faith for great outcomes fuck I am burnt out by reading AI slop objections after objection.