
Target Audience & Market Validation RadarAI is built for U.S. brick-and-mortar small business owners and solo-founders in the service and hospitality sectors (coffee shops, bakeries, car washes, salons, and auto repairs).Official SBA reports confirm that over 82% of U.S. small businesses are solo-founders with zero paid employees. Reddit sentiment research validates that these owners are completely trapped in daily operational tasks like sales, inventory, and staffing, leaving them with zero time or capacity to manually track local market fluctuations or competitor pricing trends. The Problem Small business owners lack the time for daily market research. When competitors alter working hours, adjust pricing, or secure new reviews, surrounding businesses remain blind to the shift until weeks too late. This critical visibility gap causes immediate customer attrition, margin erosion, and thousands in lost revenue. These busy entrepreneurs don't need complex data dashboards—they need immediate, stress-free market clarity. Product Solution & User Journey RadarAI is an automated revenue shield with a 10-second setup requiring only Google Maps links—no passwords or bank data.The live version provides an instant-value sandbox of Marfa, Texas. The user journey is seamless: the owner hits "Explore" on the landing page, views the interactive map, zooms into their neighborhood, and clicks "Refresh Data." RadarAI handles the rest, turning public web data into instant actionable insights. Infrastructure, AI Logic & ScalingBuilt via Native.Builder, RadarAI uses scraping and an OpenAI core to parse real-time map data into a three-step plan: Fact, Opportunity, and Prediction with Zero-Data Retention. Validated and ready to scale, the SaaS pipeline expands from niche tracking to scenario simulation, storefront sync, and global multi-sector deployment.
10 Aug 2026

CivicVoice Al is an Al-powered multi-agent voice assistant designed for smart city power outage management. The system allows users and operators to interact through natural voice or text conversations. It uses Whisper STT to convert voice into text, Groq/OpenAl LLM for intelligent responses, and Piper TTS to generate spoken replies. The project includes multiple agents such as an Orchestrator Agent, Memory Agent, Research Agent, and Smart City Power Outage Agent. These agents work together to understand requests, remember user context, analyze outage events, calculate risk scores, and recommend response actions. The system can simulate transformer or feeder failures, identify affected users, prioritize critical zones such as hospitals and residential areas, and provide useful recommendations for response teams. It also includes a smart dashboard showing affected users, critical incidents, average risk, active feeders, service status, city zone monitoring, and outage intelligence. CivicVoice Al helps city teams respond faster, communicate better, and make smarter decisions during power outage events.
19 Jun 2026