CouncilVoice — Prep and submit local council testimony in minutes
A mobile app that helps concerned residents draft, structure, and submit testimony for city and town council meetings — on issues from airport noise to zoning — with templates tuned to each municipality's public-comment rules.
Residents attending their first or fifth council meeting who want their comments to land
- Issue-specific templates (airport noise, zoning variance, short-term rental cap, traffic calming)
- Auto-pulls publicly available municipal data (flight logs, permits, traffic counts) into your talking points
- Time-tracking coach that fits your remarks to the typical 2-3 minute public comment window
- One-click submission to council clerk and CC to local reporters and resident associations
Small-town council meetings are seeing record attendance — over 100 residents packed Qualicum Beach's bi-annual meeting over a single airport-noise dispute — but most have never testified and lack the format or data to be effective.
Searches surface many free guides (wikiHow, SV@Home toolkit, CAUSE, Rent Responsibly) but no evidence of paid demand for an AI testimony drafter; residents typically rely on advocacy org templates.Public Comment 101: Effective Written and Spoken Testimonies ↗Public Comment Toolkit — CAUSE ↗
No dedicated AI testimony-drafting competitor surfaced; closest are form-template builders (Paperform) and government-meeting data tools (Civic.band), leaving the AI drafting niche open.City Council Public Hearing Comment Form Template | Paperform ↗Civic Band - Government and Municipality Meeting Data ↗
Willingness to pay is weak — residents typically testify on one-off issues; free nonprofit toolkits and wikiHow-style guides dominate, and a per-meeting subscription has limited recurring revenue.Public Comment Toolkit — CAUSE ↗How to Make a Public Comment at a City Council Meeting ↗
Local council meetings are enduring institutions and engagement spikes around zoning/airport/noise issues, but a single-purpose drafting app risks being replaced by general-purpose LLMs the moment users discover they can prompt ChatGPT directly.
Technically straightforward — LLM-driven draft generation plus a per-municipality rules database and standard mobile client; main cost is scraping/maintaining rules across thousands of jurisdictions.