Startup Forecast
Most forecasting tools help you build the case. I built this one to take the idea apart first. It will not run a single number until it has written the obituary — the Kahneman pre-mortem, at least three named failure modes, each with an early warning indicator — and scanned the idea against five known tarpit patterns. A hit stops the run and asks what unfair insight the graveyard lacked. Then it works in the investor's order, not the founder's. Bottom-up SOM from price, reachable ICP count, frequency and achievable share, kept visibly separate from a TAM labelled directional. 60% of pitch decks inflate that number, and "the team cannot explain their SOM" is the red flag investors name first. It classifies your business model before quoting any benchmark, because 3:1 LTV:CAC is a SaaS floor rather than a goal, and payback — not the ratio — is what actually caps growth. Four VC lenses read the same idea and disagree on purpose. Every projection ships worst, base and best. Guidance-only: no backend, no market-data API. Six scripts gate its own output. Composes with icp-discovery, voice-builder and copy-engine.
Business Application
In an enterprise environment, having an agent with deep expertise in Startup Forecast means you can offload significant operational overhead. Rather than hiring external contractors or committing full-time internal engineering resources, this skill allows an artificial employee to operate as a completely independent contributor.
From strategy to final execution, the system continuously analyzes outcomes, integrates smoothly with existing internal tooling, and rigorously follows your overarching architectural guidelines.
Key Capabilities
Pre-mortem runs before the math
Bottom-up SOM, not an inflated TAM
Benchmarks that know your model
Four VC lenses that disagree
Ranges, never a point estimate
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