Tools · Startup & strategy
Valuation Cap Table
Enter your founders, shares, and each round's terms — get a cap table, dilution waterfall, and a priced, defensible valuation.
How it works
The cap-table math is code's, the price is the corpus's: a deterministic layer builds the cap table and dilution waterfall across rounds (exact share-issuance mechanics — investor ends up owning raise/post; founders diluted only by the larger denominator) and computes founder ownership (and dollar value) at exit, then the model applies the Founder's-Pocket-Guide Step-Up and Risk-Mitigation valuation methods grounded in the start-a-company corpus to suggest a defensible pre-money range, reads the dilution, and lists what to push back on before signing. Option-pool mid-round expansion is intentionally not modeled (flagged, never hidden). Pairs with MF-174 (canvas) as the 'is it fundable, and at what price' follow-on.
You bring
{ venture, founders:[{name, shares}], optionPoolShares?, rounds:[{name, raiseAmount, preMoneyValuation?|postMoneyValuation?}], targetExitValuation? }
You get
{ venture_summary, initial_cap_table[], rounds[] (pre/post · investor% · founders% · post-round cap table), dilution_waterfall[], founder_ownership_at_exit_pct, founder_value_at_exit, valuation_methods[] (step_up + risk_mitigation), dilution_read, pushback[], grounded_in, provenance }
Use it for
- →Term-sheet check: enter founders + the offered round → see your post-round ownership and exactly how much it dilutes you
- →Model a path: chain Seed + Series A rounds → the founder-ownership waterfall and dollar value at a target exit
- →Price a raise: get a defensible pre-money range from the Step-Up and Risk-Mitigation methods, cited to the canon
See it work
example outputVenture: a B2B analytics SaaS — two founders (6M / 4M shares), a $1.5M seed at $6M pre, a $5M Series A at $15M pre, target exit $80M.
Valuation & Cap Table — Northwind Analytics
Venture: seed-stage B2B analytics SaaS, two technical co-founders, raising to reach Series-A metrics. Cap-table math is computed deterministically; the price range is the corpus's read.
Initial cap table (10,000,000 shares)
| Holder | Type | Shares | Ownership |
|---|---|---|---|
| Alice Chen | founder | 6,000,000 | 60.0% |
| Bob Ortiz | founder | 4,000,000 | 40.0% |
Rounds
Seed — raise $1.5M · pre $6.0M / post $7.5M · price/share $0.60
- New investor ends at 20.0%; founders diluted to 80.0%.
That’s the first part. This is a one-shot deliverable — run it on your data to get the whole thing →
Run it now
Model your valuation & cap table
Enter your founders and any funding rounds to get a dilution waterfall, two corpus-grounded valuation reads, founder ownership at exit, and the pushback an investor would give.
Leave empty to model just the founding cap table. Give pre- OR post-money.
Prefer code? Call it over the API or hand it to your AI agent via MCP — POST /api/bicycle/valuation-captable · build_valuation_captable. API & agent access →