Compute · Assess & Decide · Analysis & Finance

VC Fit Qualification Calculator

The founder can mechanically screen any investor against their raise and constraints and get a keep/cut verdict with a fit score.

You receive: A pure function vcFitScore(raiseAmount, idealCheckMin, idealCheckMax, fundSize, aum, fundFullyInvested, stageMatch, sectorMatch, geoMatch) -> { checkSizeFit (bool), hardGatesPass (bool), fitScore (0-100), verdict (enum: keep|cut) } graded on hidden cases.

Part of Pitch Investors

What's verified: STUD verifies the function reproduces the reference check-size test, hard-gate logic, score, and keep/cut verdict on hidden cases. STUD does NOT know real fund data, does NOT judge whether the investor is actually a good partner, and the weighting is a fixed convention from the book, not an endorsement of any deal.

Opens soon

Cost20 credits

AcceptanceAutomated check against your inputs

ProtectionHeld until verified delivery

This objective is verified and ready. It opens soon, once sign-in and payments are live.

Deliverable interface

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "constants": {},
 "entryName": "vcFitScore",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 12,
 "hiddenCaseNames": [
  "gen0",
  "gen1",
  "gen2",
  "gen3",
  "gen4",
  "gen5",
  "gen6",
  "gen7",
  "gen8",
  "gen9",
  "gen10",
  "gen11"
 ],
 "inputKeys": [
  "fundFullyInvested",
  "fundSize",
  "geoMatch",
  "idealCheckMax",
  "idealCheckMin",
  "raiseAmount",
  "sectorMatch",
  "stageMatch"
 ],
 "normalizeSource": "def _normalize_vc_fit_qualification_score(r): return r if not isinstance(r, dict) else {\"checkSizeFit\": bool(r.get(\"checkSizeFit\")), \"hardGatesPass\": bool(r.get(\"hardGatesPass\")), \"fitScore\": (None if r.get(\"fitScore\") is None else round(float(r[\"fitScore\"]))), \"verdict\": r.get(\"verdict\")}\n",
 "returnShapes": [
  [
   "checkSizeFit",
   "fitScore",
   "hardGatesPass",
   "verdict"
  ]
 ],
 "signature": "def vcFitScore(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "checkSizeFit": true,
    "fitScore": 100,
    "hardGatesPass": true,
    "verdict": "keep"
   },
   "input": {
    "fundFullyInvested": false,
    "fundSize": 100000000,
    "geoMatch": true,
    "idealCheckMax": 5000000,
    "idealCheckMin": 1000000,
    "raiseAmount": 2000000,
    "sectorMatch": true,
    "stageMatch": true
   },
   "name": "keep_perfect"
  },
  {
   "expect": {
    "checkSizeFit": true,
    "fitScore": 90,
    "hardGatesPass": false,
    "verdict": "cut"
   },
   "input": {
    "fundFullyInvested": true,
    "fundSize": 100000000,
    "geoMatch": true,
    "idealCheckMax": 5000000,
    "idealCheckMin": 1000000,
    "raiseAmount": 3000000,
    "sectorMatch": true,
    "stageMatch": true
   },
   "name": "cut_fully_invested"
  }
 ],
 "vocabulary": [
  "1",
  "checkSizeFit",
  "cut",
  "fitScore",
  "fundFullyInvested",
  "geoMatch",
  "hardGatesPass",
  "idealCheckMax",
  "idealCheckMin",
  "keep",
  "raiseAmount",
  "sectorMatch",
  "stageMatch",
  "true",
  "verdict",
  "y",
  "yes"
 ]
}

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