What changed
FACT: A Federal Register rule (2026-13609, effective 2026-07-06) grants State, Local, Tribal and Territorial police and correctional agencies brand-new authority to detect and mitigate (jam/seize/down) drones. HYPOTHESIS: this creates a patchwork of 'mitigation zones' with no central registry.
Why now
FACT: The rule is days old (2026-07-06) and there is no centralized public record of which of the thousands of SLTT agencies have stood up counter-UAS operations. INFERENCE: structured-extraction APIs (Context.dev, YC S26) make it cheap for a solo dev to continuously scrape agency notices/FOIA responses into clean records.
Converging signals
A new SLTT counter-UAS legal authority (signal 5638/regulation) + one-call structured web extraction (signal 940/dev). The claimed meeting point — that these two produce a sellable operator-facing risk feed — is an imaginative leap, not evidenced.
Customer pain
HYPOTHESIS ONLY: that commercial operators flying $30k+ aircraft risk seizure/jamming in newly-authorized zones and lack visibility. No demand_evidence array entries, no complaints, no job posts, no insurer quotes were provided. Pain is asserted, not proven.
Who pays
Claimed: commercial drone operators (delivery, infrastructure inspection, ag, mapping) and drone-hull insurers. Both are discretionary buyers here — neither is a forced filer, so the founder's strongest demand pattern does NOT apply.
Solved today
Operators today check FAA airspace via LAANC/B4UFLY (free) and controlled-airspace authorizations. There is no product for 'where police may mitigate' because agencies do not pre-announce mitigation intent.
Why current solutions are bad
LAANC covers airspace class, not law-enforcement mitigation posture. INFERENCE: mitigation authority is invisible in existing tools — but it is also largely invisible everywhere, which is the core data-availability problem below.
Proposed product
A geofenced 'mitigation-zone' database built from published counter-UAS authorizations/notices + crowdsourced/FOIA reports, exposed as a map + pre-flight API/webhook.
MVP version
Extraction pipeline over Federal Register, DHS/DOJ coordination notices, and state/agency press releases into a zone table; a simple map; a /preflight?lat,lng API returning known/likely mitigation posture with source citations.
30-day build
KILL TEST FIRST — do not build. Interview 10 commercial operators + 2-3 hull insurers (BWI/SkyWatch.AI). Ask: has a mitigation zone ever changed your flight plan, and would you pay for a verified feed? Simultaneously test whether the underlying data even exists: FOIA 20 agencies and count how many publish mitigation locations.
60-day build
Only if both tests pass: build the extraction pipeline and seed the zone DB from whatever public record exists; recruit 1-2 insurers or inspection fleets as design partners.
90-day revenue plan
Paid pilot API access for 1-2 design partners. Realistically revenue is unlikely in 90 days given unproven demand and thin source data.
Distribution path
Drone-operator forums, Commercial UAV Expo, insurer partnerships. Small, reachable community but modest in size.
Pricing hypothesis
Hypothetical API/seat subscription $99-499/mo per fleet; insurer data licensing higher. No evidence of willingness to pay at any point.
Technical difficulty
Moderate. Extraction/geocoding is easy; the hard part is that the source data may not exist because police do not publish where they will down a drone.
Legal / regulatory risk
Low for the tool itself. Note: drone jamming is heavily federally restricted, so the number of agencies actually mitigating (vs. merely authorized) may be small — shrinking the addressable data and the pain.
Platform dependency
None material — no platform owner can deplatform it.
Founder fit
Moderate. It is a data/intelligence/monitoring product he likes, but it is NOT the forced-filer/government-portal shape where he scores highest. STRONGER PIVOT (see kill args): sell to the SLTT agencies who now have new authority bundled with mandatory training, certification and reporting obligations — that is the compliance-monitor/filing pattern that fits him at 8-9.
Breakout potential
Low-to-moderate; a niche intelligence feed in a nascent risk category.
Final recommendation
REVISIT / PIVOT. Do not build the operator-facing map on current evidence — run the kill-test interviews and a data-existence FOIA probe first. The more fundable idea hiding in the same rule is an agency-side counter-UAS compliance/reporting tool (certification prep, mitigation-incident reporting, authorized-tech procurement docs), which matches the founder's forced-filer edge far better.
Next action
Spend one week on the KILL TEST: interview 10 operators + 2 insurers on willingness to pay, and FOIA 15-20 agencies to measure whether mitigation-zone data is actually publishable. In parallel, scope the agency-side compliance-reporting pivot.