d3836ba49b
* feat(sentiment): add AAII investor sentiment survey Weekly bull/bear/neutral sentiment from AAII (1987-present). Shows current reading, bull-bear spread, and 52-week historical chart. Seeder fetches from AAII CSV, stores last 52 weeks in Redis. * fix(aaii): wire panel loading + mark fallback data explicitly * fix(aaii): keep panel live across refreshes + surface in health monitoring - fetchData now falls back to /api/bootstrap?keys=aaiiSentiment on refresh (getHydratedData is one-shot and returns undefined after the first read, causing a permanent spinner on hourly refresh) - Shows an error state with auto-retry when both hydrated and bootstrap-fetch miss, matching the WsbTickerScannerPanel pattern - Registered aaiiSentiment in api/health.js BOOTSTRAP_KEYS and api/seed-health.js SEED_DOMAINS so rollout failures and fallback-only operation are observable in the monitoring dashboards * fix(sentiment): handle BIFF8 SST trailing bytes and use UTC for AAII Thursday calc Two P2 greptile fixes from PR #2930 review: 1. BIFF8 SST parser was reading the rich-text run count (cRun, flags & 0x08) and extended-string size (cbExtRst, flags & 0x04) to advance past those header fields, but never skipped the trailing bytes AFTER the char data: 4 * cRun formatting-run bytes and cbExtRst ext-rst bytes. If any string before the column header was rich-text formatted, every subsequent SST entry parsed from the wrong offset, silently breaking XLS extraction and falling back to HTML scraping. 2. parseHtmlSentiment() computed last-Thursday via today.getDay() + setDate(today.getDate() - daysToThursday), both local-TZ-dependent. On Railway (non-UTC TZ) the inferred Thursday could drift by a day, causing the HTML-derived row to mismatch the XLS historical rows. Switched to getUTCDay() + Date.UTC() for TZ-stable arithmetic.
World Monitor
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.
-0078D4?style=for-the-badge&logo=windows&logoColor=white){kind=icon}
-FCC624?style=for-the-badge&logo=linux&logoColor=black){kind=icon}
Documentation · Releases · Contributing
What It Does
- 435+ curated news feeds across 15 categories, AI-synthesized into briefs
- Dual map engine — 3D globe (globe.gl) and WebGL flat map (deck.gl) with 45 data layers
- Cross-stream correlation — military, economic, disaster, and escalation signal convergence
- Country Intelligence Index — composite risk scoring across 12 signal categories
- Finance radar — 92 stock exchanges, commodities, crypto, and 7-signal market composite
- Local AI — run everything with Ollama, no API keys required
- 5 site variants from a single codebase (world, tech, finance, commodity, happy)
- Native desktop app (Tauri 2) for macOS, Windows, and Linux
- 21 languages with native-language feeds and RTL support
For the full feature list, architecture, data sources, and algorithms, see the documentation.
Quick Start
git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev
Open localhost:5173. No environment variables required for basic operation.
For variant-specific development:
npm run dev:tech # tech.worldmonitor.app
npm run dev:finance # finance.worldmonitor.app
npm run dev:commodity # commodity.worldmonitor.app
npm run dev:happy # happy.worldmonitor.app
See the self-hosting guide for deployment options (Vercel, Docker, static).
Tech Stack
| Category | Technologies |
|---|---|
| Frontend | Vanilla TypeScript, Vite, globe.gl + Three.js, deck.gl + MapLibre GL |
| Desktop | Tauri 2 (Rust) with Node.js sidecar |
| AI/ML | Ollama / Groq / OpenRouter, Transformers.js (browser-side) |
| API Contracts | Protocol Buffers (92 protos, 22 services), sebuf HTTP annotations |
| Deployment | Vercel Edge Functions (60+), Railway relay, Tauri, PWA |
| Caching | Redis (Upstash), 3-tier cache, CDN, service worker |
Full stack details in the architecture docs.
Flight Data
Flight data provided gracefully by Wingbits, the most advanced ADS-B flight data solution.
Data Sources
WorldMonitor aggregates 65+ external data sources across geopolitics, finance, energy, climate, aviation, cyber, military, infrastructure, and news intelligence. See the full data sources catalog for providers, feed tiers, and collection methods.
Contributing
Contributions welcome! See CONTRIBUTING.md for guidelines.
npm run typecheck # Type checking
npm run build:full # Production build
License
AGPL-3.0 for non-commercial use. Commercial license required for any commercial use.
| Use Case | Allowed? |
|---|---|
| Personal / research / educational | Yes |
| Self-hosted (non-commercial) | Yes, with attribution |
| Fork and modify (non-commercial) | Yes, share source under AGPL-3.0 |
| Commercial use / SaaS / rebranding | Requires commercial license |
See LICENSE for full terms. For commercial licensing, contact the maintainer.
Copyright (C) 2024-2026 Elie Habib. All rights reserved.
Author
Elie Habib — GitHub
Contributors
Security Acknowledgments
We thank the following researchers for responsibly disclosing security issues:
- Cody Richard — Disclosed three security findings covering IPC command exposure, renderer-to-sidecar trust boundary analysis, and fetch patch credential injection architecture (2026)
See our Security Policy for responsible disclosure guidelines.
worldmonitor.app · docs.worldmonitor.app · finance.worldmonitor.app · commodity.worldmonitor.app