| --- |
| title: "EventCanvas | Event Economics Planning Studio" |
| emoji: 📊 |
| colorFrom: blue |
| colorTo: green |
| sdk: static |
| app_file: index.html |
| pinned: false |
| license: mit |
| short_description: "Event capacity and profit simulator." |
| --- |
| |
| # EventCanvas | Hugdrigo Project #132 |
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| **Event Economics Planning Studio** |
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| Simulate attendance, ticket revenue, sponsorship, and operating margins across an editable event portfolio. |
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| ## Capabilities |
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| - Four distinct scenarios, with three adjustable parameters affecting actual model outputs. |
| - Record management: add, edit, archive, restore, local save and JSON backup/import. |
| - Computed indicators, comparisons and CSV export without cloud calls. |
| - Responsive desktop and mobile interface, accessible controls and light/dark themes. |
| - Entirely static HTML, CSS and JavaScript, no paid API, build pipeline or CDN. |
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| ## Reproducible model methodology |
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| - Tickets sold are demand limited by seating capacity; attendees are ticket sales × show-up rate. |
| - Margin combines sales revenue, equal event-level sponsorship, venue fixed cost and per-attendee cost with inflation. |
| - Assumes no cancellations, taxes, commissions, refunds or sponsorship restrictions. |
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| **Practical interpretation:** Examine breakeven and venue capacity under demand changes. |
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| ## Launch on Hugging Face Spaces |
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| Create a **Public** Space named `eventcanvas-revenue-capacity`, set **Static** SDK, choose **Blank** template and MIT license. Upload `README.md`, `index.html`, and `LICENSE` in the repo root. No GPU or secrets are required. |
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| ## Limits and privacy |
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| All inputs, names, data, cost estimates and scenario outcomes are synthetic demonstrations, not real forecasts, laboratory evidence, legal advice, certification, audited measurements or investment recommendations. Models deliberately simplify reality. Records and scenario settings are saved only in this browser using localStorage and may be lost if browser storage is cleared. Use JSON export for backups. Do not publish sensitive datasets in a public Space repository. |
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| © 2026 Hugdrigo. Project #132. MIT License. |
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