Locus Intelligence
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Locus Intelligence is a location intelligence platform built for enterprise and multi-location businesses. It gives teams a centralized way to monitor, analyze, and govern location-level visibility, reputation, and performance across platforms such as Google Business Profile.
When a brand has dozens (or hundreds) of locations, small listing issues can create uneven demand across cities. One location may lose visibility, another may see a ratings dip, and a third may suddenly gain traction. Locus Intelligence is designed to help you see what is happening at each location, compare regions, and act quickly when performance shifts.
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Locus Intelligence's answer
Because it helps you spot spikes/drops across locations early and act using the exact signals that drive real outcomes (calls, clicks, direction requests).
Locus Intelligence's answer
The site doesnโt publicly list a tech stack; itโs a web platform that aggregates location signals (e.g., Google Business Profile) and runs analytics/reporting on top.
Locus Intelligence's answer
Customer names arenโt published on the website yet (controlled rollout); itโs intended for enterprise multi-location brands.
Locus Intelligence's answer
It was built to solve fragmented, location-level performance tracking by giving multi-location teams a single source of truth to monitor and govern outcomes.
Locus Intelligence's answer
It unifies location-level visibility, reputation, and high-intent actions (plus trends/anomalies) into one centralized view for multi-location governance.
Locus Intelligence's answer
Enterprise and multi-location brands, operations/regional leadership teams, and marketing/reputation management teams.
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Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 4 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 8 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 9 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 18 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 19 days ago
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