Compute · Create · Data & Research

Compute New-Hire Equity Grant by Hire Number

A pure function that returns the equity-grant percentage for the Nth early hire by interpolating between configurable anchor grants (default 1.5% for hire #1, 0.25% for hire #20), per the YC early-hire equity rule of thumb.

You receive: A deterministic calculator (pure function) graded on hidden numeric input/output cases.

Part of Choose Business Model

What's verified: STUD verifies the interpolation math reproduces the anchor-to-anchor decay curve on hidden cases. It does NOT decide what the anchors should be for this specific company (Altman notes 'the variance is huge'), whether the candidate deserves above/below the curve, or vesting terms. It is a schedule generator from the buyer's chosen anchors, not advice on the right grant.

Opens soon

Cost20 credits

AcceptanceAutomated check against your inputs

ProtectionHeld until verified delivery

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Deliverable interface

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

{
 "constants": {},
 "entryName": "compute_grant",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 12,
 "hiddenCaseNames": [
  "tenth_hire",
  "fifth_hire",
  "second_hire",
  "fifteenth_hire",
  "beyond_anchor",
  "custom_anchors",
  "high_first",
  "low_twentieth",
  "hire_3",
  "hire_18",
  "small_anchor",
  "hire_zero_edge"
 ],
 "inputKeys": [
  "anchor_hire_number",
  "first_hire_pct",
  "hire_number",
  "twentieth_hire_pct"
 ],
 "normalizeSource": "def _normalize_new_hire_equity_grant(r):\n    if not isinstance(r, dict): return repr(r)\n    return {\"grant_pct\": (None if r.get(\"grant_pct\") is None else round(float(r[\"grant_pct\"]), 3))}\n",
 "returnShapes": [
  [
   "grant_pct"
  ]
 ],
 "signature": "def compute_grant(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "grant_pct": 1.5
   },
   "input": {
    "anchor_hire_number": 20,
    "first_hire_pct": 1.5,
    "hire_number": 1,
    "twentieth_hire_pct": 0.25
   },
   "name": "first_hire"
  },
  {
   "expect": {
    "grant_pct": 0.25
   },
   "input": {
    "anchor_hire_number": 20,
    "first_hire_pct": 1.5,
    "hire_number": 20,
    "twentieth_hire_pct": 0.25
   },
   "name": "twentieth_hire"
  }
 ],
 "vocabulary": [
  "anchor_hire_number",
  "first_hire_pct",
  "grant_pct",
  "hire_number",
  "twentieth_hire_pct"
 ]
}

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