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Geopolitical Supply Shock Simulator
Build a SaaS platform for energy traders, logistics planners, and policy teams to run explainable supply disruption scenarios across oil and related commodities. The strongest demand signal is not entertainment value but the repeated request for concrete predictions, better assumptions, and configurable stress testing.
Why this matters
You are responsible for understanding how a regional disruption could cascade through global supply, but your current tools are split between static research, spreadsheets, and opaque models. When leadership asks how long a disruption would take to hit specific countries, what prices might do, or which fallback routes matter most, you cannot answer quickly with confidence. The biggest frustration is not the absence of a model, but the absence of one that is transparent enough to defend, current enough to trust, and flexible enough to test politically realistic scenarios such as selective access or hidden stockpile assumptions.
- · Built for Energy market analysts, commodity trading firms, strategic planning teams at import-dependent corporations, and policy researchers who need scenario-based disruption analysis..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You are responsible for understanding how a regional disruption could cascade through global supply, but your current tools are split between static research, spreadsheets, and opaque models. When leadership asks how long a disruption would take to hit specific countries, what prices might do, or which fallback routes matter most, you cannot answer quickly with confidence. The biggest frustration is not the absence of a model, but the absence of one that is transparent enough to defend, current enough to trust, and flexible enough to test politically realistic scenarios such as selective access or hidden stockpile assumptions.
Score Breakdown
Market Signal
Go-to-Market
Energy and macro strategy analysts inside commodity funds, shipping intelligence firms, and corporate strategy teams at large fuel-dependent businesses.
~10K-30K high-value professionals globally
cold outbound
$499/month
10 demos booked and 3 pilot accounts started within 30 days from outbound to energy and shipping intelligence teams
MVP Scope · 1–2 weeks
- Define one commodity scope: crude oil with 20 major importer and exporter nodes
- Ingest public trade flow data and daily benchmark price data into PostgreSQL
- Implement baseline network flow and reserve depletion engine in Python
- Create three preset scenarios: partial closure, full closure, selective passage
- Build a simple web UI showing depletion timelines and price curves
- Add sensitivity controls for reserve assumptions and price elasticity
- Implement historical backtest view for one recent disruption period
- Add exportable PDF summary for internal meetings
- Instrument usage analytics and collect feedback from 5 domain users
- Set up Stripe billing and gated access for pilot customers
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The market may view the product as an interesting visualization rather than a workflow-critical decision tool, limiting paid conversion.
- 2Without proprietary or high-confidence data on hidden reserves and sanctioned flows, users may reject outputs as too speculative.
- 3Large institutional buyers may prefer analyst subscriptions from established providers instead of adopting a new simulation platform.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
The discussion repeatedly returned to the same commercial theme: users wanted stress testing, but they challenged whether the outputs were decision-ready. Roughly ten comments focused on prediction quality, missing assumptions, reserve realism, and scenario scope. Several users proposed new what-if cases, which suggests practical demand for a configurable tool rather than a one-off visualization.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Geopolitical Supply Shock Simulator
Sub-headline
Build a SaaS platform for energy traders, logistics planners, and policy teams to run explainable supply disruption scenarios across oil and related commodities. The strongest demand signal is not entertainment value but the repeated request for concrete predictions, better assumptions, and configurable stress testing.
Who It's For
For Energy market analysts, commodity trading firms, strategic planning teams at import-dependent corporations, and policy researchers who need scenario-based disruption analysis.
Feature List
✓ Scenario builder for chokepoint closures, selective passage, and phased disruption ✓ Reserve depletion and price trajectory simulation with assumption toggles ✓ Historical backtest mode comparing model output with observed events
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
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