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Case study
House of Nimbus on City Street, Enhanced by GhatGPTv5.1

Glass House on City Street, Enhanced using ChatGPTv5.1.

Building a real estate dashboard with Nimbus Enterprises

HYUMYN partnered with Nimbus Enterprises to design a focused dashboard for real estate investors working across dense urban markets. The brief: reduce noise, surface real opportunities, and keep teams out of spreadsheets.


Most investment teams grow around a patchwork of tools: shared folders, exports, saved searches, inbox tags and one very important spreadsheet that “no one is allowed to break.”

Nimbus Enterprises came to us with a simple but ambitious request:

> “Give us one place where our team can see what matters, act on it, and move on.”

House of Nimbus on City Street, Enhanced by GhatGPTv5.1

Glass House displaying graphs, Created in ChatGPTv5.1.

Instead of pitching another complex platform, we focused on something much tighter: a single dashboard that gives operators a live picture of what’s happening in their world, without asking them to learn a new language or workflow.

Start with the daily questions

The first thing we mapped with Nimbus wasn’t data – it was questions. Every day, operators were asking:

  • What’s changed since yesterday?
  • Which opportunities actually deserve attention right now?
  • What’s stuck, and who owns it?
  • Where should we be spending our next block of time?

Instead of trying to “show everything,” the dashboard is designed to answer those questions quickly. That meant prioritizing:

  • clear opportunity lists instead of raw tables,
  • simple visual cues over heavy charts,
  • fast filters that match how people actually think about their market.
House of Nimbus on City Street, Enhanced by GhatGPTv5.1

Money pouring from glass house, Created in ChatGPTv5.1.

Bringing scattered signals into one view

Nimbus already had access to powerful data – public sources, internal notes, and operator knowledge built up over time. The issue wasn’t access. The issue was friction: too many clicks, too many tabs, and too much copying between tools.

We designed the dashboard so those signals can live together in a single, opinionated view. Instead of dropping every column on screen, we focused on:

  • what an operator needs to quickly understand a potential deal,
  • the next action they’re likely to take,
  • how that action is tracked over time.

The result is a workspace where an operator can scan a list, drill into one opportunity, add or update context, and be back to the bigger picture in a couple of clicks.

From “dashboard” to daily habit

A dashboard is only useful if people actually use it. So we worked with Nimbus to keep the experience:

  • fast enough to open and check between calls,
  • clean enough to share on a screen in a meeting,
  • structured enough that data stays useful over time.

Over time, this kind of internal tool becomes more than a report. It becomes a habit: the place you start your day, decide what to work on, and close the loop on yesterday’s decisions.

As HYUMYN moves toward launch, we’re continuing to refine this pattern: focused dashboards that respect operators’ time, reduce noise, and quietly pull the right signals into view – without giving away all the tricks under the hood.