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Early-stage AI Startup founders (Seed to Series A) manually calculate equity dilution scenarios in Excel when raising funding. Incorporating complex terms like convertible bonds (CB), SAFE notes, and stock option pools takes 3–5 hours per scenario. Signing deals with flawed structures without legal counsel can result in millions of won ($7,500–$75,000+) in additional legal costs in subsequent rounds.
An equity dilution simulator built on Korean Commercial Act and Venture Investment Act frameworks. Input CB/SAFE/stock option terms to auto-generate round-by-round cap tables, visually compare 3–5 scenarios side by side, and receive automatic warnings on unfavorable clauses.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |