🤝 Top Collaborators
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🤓 Latest Submissions
RadarAI — Live Watch Over Your Market.
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
The war room
The War Room is an autonomous, multi-agent incident response platform designed to accelerate cloud service recovery and reduce Mean Time to Resolution (MTTR). When outages or spikes occur, instead of engineers manually checking disparate monitoring systems, The War Room coordinates a synchronized swarm of specialized AI agents. Directed by an Incident Commander (orchestrated with LangGraph), these agents include Metrics (Telemetry), Logs (Code Audits), Change (CI/CD Deployments), and Runbooks (Procedure Retriever) specialists. Unified via the event-driven Band SDK, these agents perform parallel diagnostics, exchange findings over deliberation channels, and submit structured evidence. A mathematical consensus engine computes dynamic confidence scores by weighing domain findings and analyzing deliberation sentiment. If confidence meets security gates, the platform generates a step-by-step interactive remediation plan (e.g., database rollbacks, traffic caching, container scaling). Finally, it compiles a complete markdown postmortem report and automatically commits it to Git via simulated Git-Ops, creating a traceable GitHub postmortem record.
19 Jun 2026
