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Classify an Innovation with the Three Disruption Litmus Tests
A deterministic function that takes the five disruption-test answers for an innovation and returns its disruption class (new-market, low-end, both, sustaining, or not-disruptable) plus which tests it passed, exactly per Christensen's three litmus tests.
Classify Burn-Rate Danger Level
A pure function that converts monthly burn and cash on hand into months of runway and a danger classification using runway-month thresholds, per Altman's rule that burn is only scary when runway is short.
Classify Capital Character: Patient/Impatient for Growth vs Profit
A deterministic function mapping a venture's funding terms onto Christensen's two-axis capital-character model and returning whether the capital is good or bad for a new-market disruption, with the quadrant label.
Classify email subject lines and assign the right precursor
A pure function precursor_for(intent) that maps an email intent code to the canonical subject-line precursor string, graded on hidden intent->precursor cases.
Classify Startup Growth-Engine Fit (Viral / Sticky / Paid)
A founder receives a structured engine-fit assessment that pins each of the three Lean-Startup growth engines to a pass/fail gate on its driving metric and names the recommended primary engine.
Classify whether to publish prices using the market 2x2
I give market size and homogeneity (with thresholds) and get the quadrant plus the publish-on-website recommendation, matching the book's transparency 2x2.
Cold-outreach sequence with timed follow-ups
A ready-to-load multi-step sequence: A/B subject variants per email, one clear call to action, send-day spacing that moves forward, and only declared personalization tokens.
Compare gig-platform fees and net earnings
For each platform entry: netEarnings = round(grossEarnings * (1 - feeRatePct/100), 2); feeAmount = round(grossEarnings * feeRatePct/100, 2); winner flag on the highest-net platform.
Competitor-informed SEO content brief
A complete content brief: primary + long-tail keywords, an H2/H3 outline, must-cover subtopics, a word-count band, link slots, and an on-page checklist.
Compute a convertible-note / pre-money SAFE conversion price (cap vs discount) and simple round dilution
You get the conversion price per share for a PRE-money convertible note or pre-money SAFE (the lower of the cap-implied and discount-implied price), the shares it converts into, the round's post-money valuation, and the new lead investor's post-money ownership percentage.
Compute a liquidation-preference waterfall (multiple, participating vs non, cap)
You get each preferred investor's exit payout and the common-shareholder (founder and employee) residual for a given exit value, computed from each investor's invested amount, preference multiple, participating-or-not, participation cap, and as-converted ownership; payouts always sum exactly to the exit.
Compute a proportional token allocation from contribution scores
Each contributor's token allocation = round(contributionScore / sumAllScores * totalPool, 2), and the sum of all allocations equals totalPool within tolerance.
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