Scheduled ingestion
Pulls market, macro, regulatory, bank-document, and banking performance data on scheduled jobs.
ProjectLiveInternal: IR Hub / Analytics Hub
Project profile
Outside In
A banking-market intelligence system that turns public disclosures and market data into executive dashboard views.
Outside In is built around a simple belief: strategic banking questions should not require manually reopening PDFs, market pages, and regulator spreadsheets every time.
Live
Status
Registry state
AI-assisted decision intelligence and structured market data
Profile
Macro tailwind
2026-04-29
Updated
Public build log
What it is
A backend ingestion system and static dashboard layer for outside-in analysis of Australian banks: market performance, share, financial metrics, filings, macro context, and data freshness.
AI-assisted decision intelligence and structured market data
Organizations are trying to make AI useful inside decision workflows, not just chat windows. Market intelligence is a natural fit because the raw material is fragmented, public, and time-sensitive.
Core functionality
Disclosure extraction
Uses AI-assisted extraction to convert bank PDFs and filings into structured metrics, sections, and narrative signals.
Dashboard snapshots
Publishes static read-only dashboard pages for bank profiles, market share, performance snapshots, and industry trends.
Health and freshness
Tracks ingestion runs and page-level freshness so readers can see whether the data is current.
Architecture
Outside In separates ingestion from presentation. GitHub Actions and Node scripts collect and transform data; Supabase stores read-optimized tables and views; static HTML pages consume public-read data for dashboard output.
Stack
- Node ingestion scripts
- GitHub Actions cron workflows
- Supabase Postgres with public-read patterns
- AI-assisted PDF extraction
- Static HTML dashboards with shared assets
Data flow
- Scheduled jobs fetch upstream market, macro, regulatory, and bank-document sources.
- Transformers normalize data into canonical tables and views.
- Extraction jobs turn filings into structured metrics and sections.
- Static dashboards read curated snapshots and render executive views.
Safeguards
- Portfolio copy uses public-safe system descriptions only.
- No service-role details, project identifiers, exact secrets, or operational schedules are exposed.
- Dashboard links point to live public HTML pages, not private source repositories.
Customer and business lens
Wedge
Replace repeated analyst data gathering with a living outside-in dashboard for a focused sector.
Model
Potential paths include internal strategy tooling, subscription intelligence dashboards, bespoke sector monitors, or analyst workflow products.
Use cases
- Compare bank performance across market and reported metrics.
- Review a single bank profile with filings and performance context.
- Track market share and sector trends over time.
- Monitor ingestion health and data freshness.
Risks to watch
- Source drift can silently break ingestion without strong tests and health checks.
- AI extraction needs provenance, review, and conservative claims.
- Dashboard readers need freshness and source context to trust the numbers.
Personas
Strategy executive
Needs a fast view of how competitors and the sector are moving without waiting for a custom pack.
Investor-relations analyst
Wants filings, metrics, and market movements organized around the questions stakeholders ask.
Banking analyst
Needs repeatable benchmarks, freshness indicators, and source-aware metrics.
The exec skimmer
Wants the headline, delta, and confidence level in seconds.
The analyst operator
Needs traceable metrics and wants to know where each number came from.
The build-in-public reader
Wants to understand how public data becomes a useful dashboard product.
Progress kanban
Shipped
- Bank-profile and market-share dashboard pages
- Market-performance and industry-trend pages
- Scheduled ingestion scripts and health checks
- AI-assisted document extraction paths
- Static dashboard styling and freshness chips
In flight
- Financial performance tab polish
- Live data wiring and freshness consistency
- Curated P&L and metric coverage improvements
Backlog
- More sectors or peer groups
- Richer narrative summaries
- Automated insight alerts
- Public-safe methodology notes
Visual evidence
Links and build receipts
Bank profileLive public dashboard page.Market shareLive public dashboard page.Market performanceLive public dashboard page.
Build receipts
- Recent source signals include live data wiring for bank profiles, market share, market performance, performance snapshots, and filings.
- The public GitHub Pages root 404s by design/current configuration; individual dashboard pages are the stable links.