AutoSitu
Product & Competitive Intelligence
Cuts municipal development approvals from weeks to minutes with AI-powered compliance review.
Company Overview
Builds coordinated AI agents for municipal cross-department development review workflows. Formerly called MirageDoodle. The agents handle zoning compliance, code reviews, and site plan analysis, escalating judgment calls to human staff while automating the heavy lifting of regulatory review.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Coordinated AI agents inside cities' cross-department development review workflows. Expert-level zoning and compliance guidance based on precedents. Delivering 90% faster approvals. Serving cities and design firms across the US.
Signals & Private Analysis
Lean two-person team and YC participation suggest imminent seed round mid-2026. The rename from MirageDoodle to AutoSitu signals product maturation and GTM readiness. Likely targeting underserved mid-size U.S. planning departments.
Product Roadmap Priorities
AI agents autonomously parse municipal zoning codes and evaluate site plans for compliance, replacing weeks of manual planner review with minutes of automated analysis.
It's like having a tireless city planner who has memorized every zoning rule in town and can review your building plans in minutes instead of weeks.
It's like replacing a room full of lawyers reading a phone book with a single paralegal who has photographic memory and never needs a coffee break.
Computer vision models automatically extract, digitize, and annotate architectural site plans to identify building footprints, setbacks, parking layouts, and lot boundaries for automated compliance scoring.
It's like teaching a computer to read blueprints the way an experienced architect does—spotting every building edge, parking space, and property line instantly.
It's like giving a building inspector X-ray glasses that instantly measure every wall, setback, and parking spot on a blueprint without ever picking up a ruler.
Precedent-based reasoning engine analyzes thousands of historical municipal decisions to predict approval likelihood, flag risk factors, and recommend application modifications before submission.
It's like having a seasoned zoning attorney who has studied every past ruling in your city and can tell you exactly how to tweak your project to get approved on the first try.
It's like Moneyball for building permits—using data from every past game to tell you exactly which pitch to throw so the umpire calls it a strike.
Company Overview
Key Team Members
- Xuanshu Lin, Co-Founder
- George Zhai, Co-Founder
Founder Force Multiplier
Xuanshu Lin combines Urban Planning and Architecture from the University of Michigan, with hands-on project experience in Champaign-Urbana and Detroit's Joe Louis Greenway. APA Planning and Design Competition Honorable Mention. George Zhai (Georgia Tech, ex-General Motors per LinkedIn) has worked on autonomous cars, boats, and robotic systems. Together they combine regulatory domain fluency with AI/robotics depth in a historically underserved market.
Funding History
- 2025 | Xuanshu Lin and George Zhai co-found AutoSitu (originally as MirageDoodle).
- 2026 | Accepted into Y Combinator W26 batch.
Competitors
- Govtech Permitting: OpenCounter, Symbium (AI zoning lookup).
- Proptech Analytics: Archistar, UrbanFootprint.
- Adjacent AI: TestFit (site planning optimization).
