Building Standing World
Standing World models how public perception changes around connected entities — teams, players, coaches, companies, politicians, and public figures. FIFA World Cup 2026 is the first complete ecosystem being used to test that model.
The World Cup is not the product. It is the first complete perception ecosystem being modeled inside Standing World.
1300+
Entities modeled
48
National teams
104
Match moments
7
Entity categories
The Platform
What Standing World is
Standing World tracks public standing — the accumulated perception of an entity at a given point in time. Every public reaction to a real-world moment is a signal. Those signals move standing up, down, or hold it still. Over time they form a standing profile that reflects genuine public sentiment, not follower counts or engagement metrics.
The core question: when something happens, does the public back this entity, doubt them, or wait? Aggregated across many people and many moments, that becomes meaningful perception data.
How public standing is expressed
Every reaction is one of three stances — aggregated into a standing score and stability label: Trending, Stable, Volatile, or Declining.
Back
Confidence rising
Doubt
Confidence falling
Hold
Watching, not committing
Entity categories — current and planned
Model
The perception model
The same structural model applies across every domain Standing World will cover. FIFA World Cup 2026 validates it at scale — football provides the clearest, most naturally structured set of entities, relationships, and moments of any publicly visible domain.
FIFA World Cup 2026 — Active Ecosystem
Future domains — same structure
Reaction layer and standing output are identical across all domains. Only entity types change.
Beyond sports
Why this matters outside of football
The FIFA World Cup 2026 was chosen because it is bounded, globally visible, and rich with structured entities. But public standing is not a sports concept — it is a universal one. How the public perceives a company after a product launch, a politician after a debate, a creator after a controversy — these follow the same pattern.
Sports
ActiveWhere we start. Teams, players, coaches — structured, global, and publicly legible.
Business
NextCompanies, founders, brands. Public standing shaped by decisions, launches, and crises.
Entertainment
NextArtists, creators, films. Public perception is the entire currency of this domain.
Politics
PlannedPoliticians and parties. Standing measured by moment-by-moment public reaction, not polls.
Society
PlannedInstitutions, organizations, cultural events. Perception at the societal level.
Places
PlannedCities, nations, regions. Standing shaped by events, leadership, and global narrative.
First ecosystem
Why FIFA World Cup 2026 specifically
A perception platform needs a real, bounded, high-attention ecosystem to model first. The 2026 World Cup — the first with 48 teams — provides the largest structured football dataset in tournament history, with a global simultaneous audience.
48 national teams
Each team is a first-class entity with its own standing profile — not just a bracket entry.
1,000+ individual entities
Every player and coach has individual standing. A team and its captain can diverge significantly.
104 match moments
Every match creates a perception moment with measurable before/after standing movement.
Finite, testable scope
A start date, an end date, 48 teams. A complete dataset to validate before expanding.
Global simultaneous attention
Reactions from different countries to the same match are directly comparable — rare elsewhere.
Natural entity graph
Sport → Competition → Edition → Team → Player → Match. The hierarchy already exists.
Status
Current progress
State of the FIFA World Cup 2026 ecosystem inside Standing World as of June 2026.
Football sport model
Sport entity created with correct configuration and category context
FIFA World Cup competition
Competition entity created and linked to the football sport model
FIFA World Cup 2026 edition
Edition created with dates, host countries, and full configuration
Entity pages
Public-facing pages for teams, players, and competitions live and routable
National team import
All 48 qualified national teams being imported with metadata and profiles
Players & coaches
Squad members and coaching staff linked to their respective team entities
Match schedule as moments
All 104 official matches modeled as perception moments
Relationship graph
Cross-entity graph linking teams, players, coaches, matches, and reactions
Standing calculation engine
Aggregating back/doubt/hold reactions into entity standing scores over time
Public reaction layer
User interface for submitting stances tied to specific match moments
Stack
Technical architecture
Founder-built. Optimized for iteration speed and a typed relational data model that scales to the full World Cup dataset and the broader platform beyond it.
Frontend
React 19
TypeScript
Tailwind CSS v4Build & Deployment
Vite
VercelBackend & Database
Supabase
PostgreSQL
Drizzle ORMSupabase AuthData Model
TanStack Start and Vite deployed to Vercel. Supabase handles the full backend — auth, database, and storage. Drizzle ORM manages the typed schema and migrations. No dedicated infrastructure team. Operational overhead is close to zero.
AI assistance
AI in the build
Standing World is built by a small team using AI as a core part of the development workflow. This is not hidden — it is how the product moves quickly without a large engineering team.
Lovable
UI & frontend scaffolding
Used for component generation, UI scaffolding, and frontend structure. Accelerates the visual layer without requiring a dedicated frontend team.
ChatGPT
Product & architecture thinking
Used for product decisions, architecture planning, content structuring, and working through positioning questions.
Codex
Code generation
Used for code generation, implementation assistance, and working through technical problems quickly.
AI broadly
Research & planning
Used for research, roadmap thinking, entity data generation, and documentation — freeing time for decisions that require original judgment.
AI accelerates execution. The product decisions, entity model, stance system, and platform vision are the founder's own. AI is a tool in the build — not the author of it.
Scale
Expected scale at tournament completion
The largest dataset Standing World will have hosted when the World Cup ends.
48
National team entities with standing profiles
1,000+
Football entities — players, coaches, staff
104
Match moments with standing deltas
10k+
Projected public reactions as standing inputs
~5k
Entity relationship edges in the graph
3
Host countries — USA, Canada, Mexico
Active scalability work
- ✓Database indexingCore entity and relationship tables indexed
- ✓Static generationEntity pages pre-rendered at build time
- ↻Query optimizationReducing join depth on nested entity lookups
- ↻Image pipelinePlayer and team images served via CDN
- ↻Graph lazy-loadingSegment loading to reduce initial page payload
- ↻Response cachingCaching high-traffic entity and match pages
- Standing batchingBatched recalculation during live match peaks
- Realtime updatesSupabase Realtime for live standing movement
Transparency
Why we are building in public
This page is a progress document. Standing World is documenting its preparation for the World Cup openly — what is built, what is in progress, and what is planned. There is no pitch here. The goal is accountability and legibility.
Infrastructure partners
Standing World is a relational, entity-heavy platform with real scale requirements during a global event. We run on Vercel and Supabase and are actively growing toward World Cup scale. The workload is real — infrastructure support conversations are welcome.
Sponsors & partners
Standing World will have a live public presence during FIFA World Cup 2026 — standing pages for all 48 teams, 1,000+ players, and 104 match moments. Partnership opportunities are open for organizations aligned with public perception and sentiment at scale.
Infrastructure
Current infrastructure
| Component | Provider | Notes |
|---|---|---|
| Frontend | Vercel | TanStack Start + Vite, deployed on Vercel |
| Database | Supabase (PostgreSQL) | Entity storage, relationship graph, standing data |
| ORM | Drizzle ORM | Typed schema, migrations, and query layer |
| Auth | Supabase Auth | User accounts for reaction submissions |
| Storage | Supabase Storage | Team crests, player images, media assets |
| Domain | Standing World | Public-facing, live |
| Status | — | Actively preparing for FIFA World Cup 2026 |
Founder Note
Standing World is still early. But the FIFA World Cup 2026 offers something genuinely useful for a platform like this: a globally shared event with clearly defined entities, a natural timeline, and a massive simultaneous audience — all conditions that make testing a perception model meaningful rather than synthetic.
The goal is not to launch a finished product during the World Cup. The goal is to run a real perception ecosystem through a real global event and learn from it in public. Every team page, every match moment, every standing movement is a data point.
After the World Cup, the model expands. Sports was the entry point because the entities are well-defined and the moments are public. But Standing World is designed for any domain where public perception matters — and that is most of them.