CapStackGP
CapStackGP
Overview
Welcome to CapStack GP
Sample data is pre-loaded with a Series A cap table. Click ▶ Run Model to generate a live waterfall, cap table, and fund MOIC in under 10 seconds.
⚠ Convertible instruments will be converted at exit. Run model to see waterfall impact.
Model Assumptions
47 discrete assumptions across 6 domains. Defaults set to institutional standard. Expand any domain to review or override.
⚠ Assumptions with silent defaults produce wrong outputs in edge cases. Review each domain before running the model against live data.
Company & Fund Parameters
Core inputs that anchor the model.
Company
Fund Parameters
Capital Structure
Add shareholders, financing rounds, and convertible instruments.
Shareholders & Security Holders
👤
Click "+ Add" to add founders, investors, and employees.
Financing Rounds
💵
Add financing rounds to model dilution.
Convertible Instruments
📄
Add SAFEs or convertible notes.
Exit Scenarios
Define acquisition prices and structural terms.
Global Exit Parameters
Scenarios
Cap Table
Ownership derived from share counts. Percentages are computed, never stored.
📊
Add shareholders and run the model.
Exit Waterfall
Sequential allocation across the full exit price range. Kink points mark preferred conversion thresholds.
⛰
Add shareholders and exit scenarios, then run the model.
Ownership Decay
Investor ownership from entry through each dilutive round. Pro-rata toggle shows cost of not following on.
📉
Add investor shareholders and financing rounds.
Fund MOIC
Gross and net MOIC across exit scenarios. Carry computation, LP distributions, DPI proxy.
💰
Configure fund parameters and run the model.
VC & Cap Table Glossary
127 terms. Plain English definitions with technical depth for practitioners.
AI Research Prompts
Practitioner-grade prompts designed to extend your CapStack model analysis. Copy any prompt, paste your model outputs into an AI assistant, and ask.
In-app agent (optional)
Connect a CapStack agent service to run a BLUF or Q&A on your current model state. Requests are sent only to the base URL you save below (for example your own agent-service on http://localhost:8787). Each run POSTs serialized model JSON (and your question for Q&A) to that service. The agent service logs metadata-only operational events (latency, workflow, validation, token counts when using OpenAI) — not prompts or raw cap table data in default logs.