I Built a Real-Time Zombie Outbreak Simulator Using Uber’s H3 Spatial Index and Web Workers

May 20, 2026 · 9:23 AM UTC ·8 min read · 0 reactions · 0 comments · 25 views

#webdev #gis #simulation #technology #programming

TL;DR · WeSearch summary

Mohid Dastgeer has developed a real-time zombie outbreak simulator using Uber's H3 Spatial Index and Web Workers. The simulator is designed to handle thousands of geographical zones in real-time while maintaining a smooth user experience. It employs a custom SIZD model to simulate the dynamics of a zombie apocalypse in a detailed urban environment.

Key facts

▪The simulator runs at 60 FPS and incorporates real-world city structures and road networks.
▪It uses a background Web Worker to manage the simulation state and process data without freezing the UI.
▪The SIZD model replaces traditional pandemic models to account for the unique characteristics of a zombie outbreak.

About this source

DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

All DEV.to (Top) coverage →

Original article

DEV.to (Top)

Read full at DEV.to (Top) →

Story provenance

Source · retrieval · rights · ranking — open for full record

inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/mohid123/i-built-a-real-time-zombie-outbreak-simulator-using-ubers-h3-spatial-index-and-web-workers-4hc2
Publication time	Wed, 20 May 2026 09:23:28 +0000
Retrieval time	2026-05-20T09:35:01.414Z
Last seen	2026-05-20T09:35:01.414Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	oyEVrnO2pyyw
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3941762) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mohid Dastgeer Posted on May 20 I Built a Real-Time Zombie Outbreak Simulator Using Uber’s H3 Spatial Index and Web Workers #webdev #gis #architecture #frontend There are two kinds of developers in this world: 1.Those who build practical, enterprise-grade, high-value CRUD applications. 2.Those who spend their weekends writing heavily optimized mathematical simulations calculating exactly how fast an army of fast-moving zombies would turn the city of London into an absolute buffet.

…

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

Anonymous · no account needed

Discussion

0 comments