VC thesis · HOKA → target #7 of 8

Hyperice

Premium recovery technology brand focused on high-performance athletic maintenance and professional-grade physical therapy tools.

Founded 2010 · Competes with Therabody, Compex, TriggerPoint, PowerDot · Partnerships: NBA, NFL, MLB

Corporate details are Qloo entity data.

Pass

59.1F / 100

100% of the weighted evidence measured

Why this verdict

F 59.1 < 62.

Scores, flags and verdicts are computed in code. The agents can only argue with the ledger; they never set the score.

Six audience metrics

Bar = this target; tick = shortlist average.

m1 Two-way audience affinity

0.88

Harmonic mean of the buyer audience’s affinity for the target and the target audience’s affinity for the buyer’s brands.

m2 Taste-profile overlap

0.16

Rank-weighted overlap of the two audiences’ top-50 cultural taste tags.

m3 Cross-domain agreement

0.86

How strongly the target’s audience embraces the buyer audience’s favourite artists, shows, films and podcasts.

m4 Demographic alignment

0.95

Similarity of the two audiences’ age and gender over-index profiles.

m5 Geographic footprint

0.22

Correlation of metro-level audience affinity, relative to the screened cohort.

m6 Momentum

0.48

Trending rank change over the last 4 weeks vs the 8 before, relative to the cohort.

How F is built

Points each metric adds (weights for VC thesis, renormalised over what Qloo could measure).

Metric	Weight	Points
Two-way audience affinity	0.25	22.0
Taste-profile overlap	0.15	2.4
Cross-domain agreement	0.10	8.6
Demographic alignment	0.10	9.5
Geographic footprint	0.10	2.2
Momentum	0.30	14.3
F		59.1

Qloo explainability: the buyer-side signals driving the forward affinity are On (0.25), Tracksmith (0.25), HOKA (0.25), Athletic Brewing Co (0.25).

Where the audiences meet, across culture

The buyer audience’s top titles in each domain, ranked by how strongly Hyperice’s audience embraces them.

Music0.82

Embraced: Greensky Bluegrass, Shakey Graves, Greyhounds · Least shared: Mudcrutch, Phil Cook, Sturgill Simpson

TV0.94

Embraced: American Ninja Warrior, BattleBots, American Gladiators · Least shared: Old Enough!, Making It, Better Late Than Never

Film0.86

Embraced: Free Solo, The Peanut Butter Falcon, Dark Waters · Least shared: This Mountain Life, The Barkley Marathons: The Race That Eats Its Young, Becoming Warren Buffett

Podcasts0.83

Embraced: Boundless Life, The Model Health Show, FoundMyFitness · Least shared: Work, Play, Love with Lauren Fleshman and Jesse Thomas, I'll Have Another with Lindsey Hein Podcast, Ali on the Run Show

Taste profile overlap

19 of 81 top taste tags shared.

Both over-index on

Tourist attractionelectroniccountryfriendshipSelf Helpindie21st centuryrock

Buyer only

Shrimp Tacos, anime animation, british, friend, Fries

Hyperice only

Calamari, Sports complex, Hip Hop, rap, Personal Development

Audience shape

HOKA (buyer) Hyperice

Relative over-index (+) or under-index (−) of each aggregate audience, from Qloo. Not individual data.

Momentum

z = -0.15 relative to the screened cohort (2025-10-01).

Footprint overlap for distribution

White space: Hyperice strong, buyer weak Shared stronghold Other metros

White space

Miami, Dallas, Los Angeles, Houston, Tampa, Phoenix, Atlanta, Las Vegas

Shared strongholds

none

Bull vs bear

8 of 10 claims survived the judge; 2 rejected for citing numbers not in the ledger or misreading them.

Bull: for the deal

The aggregate audience over-indexes on the HOKA-Hyperice pairing in demographics: the demographic alignment cosine is well above the shortlist average, indicating similar age and gender skew across buckets.
t6-m4.cosine = 0.8983t6-m4.shortlistAverages.cosine = 0.313
The TV domain is a clear strength: the aggregate audience affinity for TV shows is above the shortlist average, with shared titles such as American Ninja Warrior carrying very high affinity.
t6-m3.domains[1].score = 0.9372t6-m3.shortlistAverages.domains[1].score = 0.9175
Ratio of two-way audience affinity is a strength against the shortlist, meaning the HOKA and Hyperice audiences are roughly balanced in how strongly each reaches the other.
t6-m1.ratio = 0.9611t6-m1.shortlistAverages.ratio = 0.9604
The buyer-side and target-side audiences show strong cross-domain agreement in film, where the shared titles carry high aggregate affinity, supporting a content-led co-marketing angle.
t6-m3.domains[2].score = 0.8593t6-m3.domains[1].score = 0.9372
Rejected by the judge: cites m3 Cross-domain agreement "domains[2].score" = 0.8593 as a strength, but it is below the shortlist average (0.8763)
The composite score of 59.07 is a reasonable base for the thesis, with the affinity and demographic components carrying most of the weight.
t6-score.F = 59.07t6-m4.value = 0.9492
Rejected by the judge: cites Composite score "F" = 59.0675 as a strength, but it is below the shortlist average (64.0564)

Bear: against, or diligence first

The buyer's two-way audience affinity with the target sits below the shortlist average, with the target's audience affinity for HOKA also reading as a weakness, so the overlap that drives the thesis is thinner than peers.
t6-m1.value = 0.8817t6-m1.shortlistAverages.value = 0.8957
Taste-profile overlap is narrow: only 19 shared tags against a union of 81, and the buyer's top-20 tags are missing from the target's audience at a 0.55 share, well above the shortlist average of 0.41.
t6-m2.sharedCount = 19t6-m2.buyerTop20MissingShare = 0.55t6-m2.shortlistAverages.buyerTop20MissingShare = 0.4143
Cross-domain agreement is weak in music and podcasts: the audience's music and podcast scores read as weaknesses against peers, so the shared lifestyle story does not hold across every category the deal would rely on.
t6-m3.domains[0].score = 0.8161t6-m3.domains[3].score = 0.8347
Geographic overlap is concentrated in the wrong places: the buyer-target correlation across metros is negative at -0.55, with 14 white-space metros and no strongholds, so the target's regional strength does not line up with HOKA's footprint.
t6-m5.correlation = -0.5525t6-m5.whiteSpaceCount = 14
Momentum is flat-to-declining and the composite score of 59.07 falls below the shortlist average of 64.06, so the committee should not treat this pairing as a clear outperformer; diligence should test whether the audience overlap persists before any VC thesis is written.
t6-m6.z = -0.1482t6-score.F = 59.07t6-score.shortlistAverages.F = 64.06

Provenance: 29 Qloo calls behind this target

Requests as sent (the API key travels in a header and is never logged). Responses are cached privately on the server.

Endpoint	Status	Result	Source
/v2/insights	ok	23 of 23 candidates scored	cache
/v2/insights	ok	23 profile(s)	cache
/v2/insights	ok	50 taste tag(s)	cache
/v2/insights	ok	25 recommended artist(s)	cache
/v2/insights	ok	25 recommended podcast(s)	cache
/v2/insights	ok	demographics for 12 of 12 entities	cache
/v2/insights	ok	25 recommended tv_show(s)	cache
/v2/insights	ok	25 recommended movie(s)	cache
/v2/insights	ok	8330 heatmap cell(s) in United States	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	empty	0 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	50 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/trending	ok	47 trend point(s)	cache
/v2/insights	ok	4 of 4 candidates scored	cache
/v2/insights	ok	25 of 25 candidates scored	cache
/v2/insights	ok	50 taste tag(s)	cache
/v2/insights	ok	25 of 25 candidates scored	cache
/v2/insights	ok	25 of 25 candidates scored	cache
/v2/insights	ok	25 of 25 candidates scored	cache
/v2/analysis/compare	ok	0 shared catalogue tag(s)	cache
/v2/insights	ok	4787 heatmap cell(s) in United States	cache

Evidence rows (what bull, bear and the judge see)

[
 {
  "id": "t6-flags",
  "label": "Red flags (code rules)",
  "data": {
   "flags": []
  },
  "shortlistAverages": {}
 },
 {
  "id": "t6-m1",
  "label": "m1 Two-way audience affinity",
  "data": {
   "a": 0.8995609095411924,
   "b": 0.8646092465448053,
   "ratio": 0.9611458628029828,
   "value": 0.8817388476235581,
   "reverse": [
    {
     "id": "CCE5E494-2690-42BA-9A52-3110AE273676",
     "name": "On",
     "affinity": 0.8774515881739351
    },
    {
     "id": "F1545668-5556-4111-8A2E-AC787DD7503A",
     "name": "Tracksmith",
     "affinity": 0.8667025719751522
    },
    {
     "id": "B7F13D5E-36A8-4AC4-A5A6-E949DED54050",
     "name": "HOKA",
     "affinity": 0.8596701065765117
    },
    {
     "id": "D962C4A9-93FB-433E-B11C-E9BF7029BFE5",
     "name": "Athletic Brewing Co",
     "affinity": 0.8546127194536224
    }
   ],
   "coverage": 1
  },
  "shortlistAverages": {
   "a": 0.9142067566664733,
   "b": 0.8780226767666233,
   "ratio": 0.9604328890241645,
   "value": 0.8957493307746848
  }
 },
 {
  "id": "t6-m2",
  "label": "m2 Taste-profile overlap",
  "data": {
   "value": 0.16120218579234974,
   "shared": [
    {
     "id": "urn:tag:genre:place:tourist_attraction",
     "name": "Tourist attraction",
     "subtype": "urn:tag:genre:place"
    },
    {
     "id": "urn:tag:genre:music:electronic",
     "name": "electronic",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:genre:music:country",
     "name": "country",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:keyword:media:friendship",
     "name": "friendship",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:genre:media:self_help",
     "name": "Self Help",
     "subtype": "urn:tag:genre:media"
    },
    {
     "id": "urn:tag:genre:music:indie",
     "name": "indie",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:keyword:media:21st_century",
     "name": "21st century",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:genre:music:rock",
     "name": "rock",
     "subtype": "urn:tag:genre:music"
    }
   ],
   "coverage": 1,
   "buyerOnly": [
    {
     "id": "urn:tag:specialty_dish:place:shrimp_tacos",
     "name": "Shrimp Tacos",
     "subtype": "urn:tag:specialty_dish:place"
    },
    {
     "id": "urn:tag:keyword:media:anime_animation",
     "name": "anime animation",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:british",
     "name": "british",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:keyword:media:friend",
     "name": "friend",
     "subtype": "urn:tag:keyword:media"
    },
    {
     "id": "urn:tag:specialty_dish:place:fries",
     "name": "Fries",
     "subtype": "urn:tag:specialty_dish:place"
    }
   ],
   "targetOnly": [
    {
     "id": "urn:tag:specialty_dish:place:calamari",
     "name": "Calamari",
     "subtype": "urn:tag:specialty_dish:place"
    },
    {
     "id": "urn:tag:genre:place:sports_complex",
     "name": "Sports complex",
     "subtype": "urn:tag:genre:place"
    },
    {
     "id": "urn:tag:genre:music:hip_hop",
     "name": "Hip Hop",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:genre:music:rap",
     "name": "rap",
     "subtype": "urn:tag:genre:music"
    },
    {
     "id": "urn:tag:genre:media:personal_development",
     "name": "Personal Development",
     "subtype": "urn:tag:genre:media"
    }
   ],
   "unionCount": 81,
   "sharedCount": 19,
   "buyerTop20MissingShare": 0.55
  },
  "shortlistAverages": {
   "value": 0.27871786779809044,
   "sharedCount": 23.857142857142858,
   "buyerTop20MissingShare": 0.41428571428571426
  }
 },
 {
  "id": "t6-m3",
  "label": "m3 Cross-domain agreement",
  "data": {
   "value": 0.8618190455721151,
   "domains": [
    {
     "type": "urn:entity:artist",
     "clash": [
      {
       "name": "Mudcrutch",
       "affinity": 0.7797609618523952
      },
      {
       "name": "Phil Cook",
       "affinity": 0.7912023373267739
      },
      {
       "name": "Sturgill Simpson",
       "affinity": 0.7977529922350474
      }
     ],
     "label": "Music",
     "score": 0.8160544099887217,
     "shared": [
      {
       "name": "Greensky Bluegrass",
       "affinity": 0.8401145055684164
      },
      {
       "name": "Shakey Graves",
       "affinity": 0.8396182703245643
      },
      {
       "name": "Greyhounds",
       "affinity": 0.8371900366178892
      }
     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:tv_show",
     "clash": [
      {
       "name": "Old Enough!",
       "affinity": 0.9184872745086254
      },
      {
       "name": "Making It",
       "affinity": 0.9215306106767707
      },
      {
       "name": "Better Late Than Never",
       "affinity": 0.9242793788905498
      }
     ],
     "label": "TV",
     "score": 0.937222594553051,
     "shared": [
      {
       "name": "American Ninja Warrior",
       "affinity": 0.9691888618278444
      },
      {
       "name": "BattleBots",
       "affinity": 0.9495963977143705
      },
      {
       "name": "American Gladiators",
       "affinity": 0.949456837663879
      }
     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:movie",
     "clash": [
      {
       "name": "This Mountain Life",
       "affinity": 0.8211177552786432
      },
      {
       "name": "The Barkley Marathons: The Race That Eats Its Young",
       "affinity": 0.8316688131718665
      },
      {
       "name": "Becoming Warren Buffett",
       "affinity": 0.8363058371275609
      }
     ],
     "label": "Film",
     "score": 0.8593447991960784,
     "shared": [
      {
       "name": "Free Solo",
       "affinity": 0.9092660886765589
      },
      {
       "name": "The Peanut Butter Falcon",
       "affinity": 0.9081712161316869
      },
      {
       "name": "Dark Waters",
       "affinity": 0.8905881255661845
      }
     ],
     "expected": 25,
     "returned": 25
    },
    {
     "type": "urn:entity:podcast",
     "clash": [
      {
       "name": "Work, Play, Love with Lauren Fleshman and Jesse Thomas",
       "affinity": 0.7751138745822396
      },
      {
       "name": "I'll Have Another with Lindsey Hein Podcast",
       "affinity": 0.7796269982300155
      },
      {
       "name": "Ali on the Run Show",
       "affinity": 0.7841964263772947
      }
     ],
     "label": "Podcasts",
     "score": 0.8346543785506093,
     "shared": [
      {
       "name": "Boundless Life",
       "affinity": 0.9308551895086202
      },
      {
       "name": "The Model Health Show",
       "affinity": 0.9051821978925285
      },
      {
       "name": "FoundMyFitness",
       "affinity": 0.8987031793240373
      }
     ],
     "expected": 25,
     "returned": 25
    }
   ],
   "coverage": 1
  },
  "shortlistAverages": {
   "value": 0.8787015846441593,
   "domains[0].score": 0.8646246964099812,
   "domains[1].score": 0.9174851346497923,
   "domains[2].score": 0.8762767200479108,
   "domains[3].score": 0.8564197874689529
  }
 },
 {
  "id": "t6-m4",
  "label": "m4 Demographic alignment",
  "data": {
   "buyer": {
    "male": 0.33,
    "female": -0.33,
    "25_to_29": -0.34,
    "30_to_34": -0.3025,
    "35_to_44": 0.15500000000000003,
    "45_to_54": 0.455,
    "55_and_older": -0.78,
    "24_and_younger": 0.05499999999999999
   },
   "value": 0.9491696063141616,
   "cosine": 0.8983392126283232,
   "target": {
    "male": 0.37,
    "female": -0.37,
    "25_to_29": -0.28,
    "30_to_34": -0.5700000000000001,
    "35_to_44": 0.51,
    "45_to_54": 0.2,
    "55_and_older": -0.7000000000000001,
    "24_and_younger": -0.04
   },
   "coverage": 1,
   "biggestGap": {
    "buyer": 0.15500000000000003,
    "bucket": "35_to_44",
    "target": 0.51
   }
  },
  "shortlistAverages": {
   "value": 0.6564897568012151,
   "cosine": 0.31297951360243037
  }
 },
 {
  "id": "t6-m5",
  "label": "m5 Geographic footprint",
  "data": {
   "value": 0.22373412209222326,
   "coverage": 1,
   "metroCount": 55,
   "whiteSpace": [
    {
     "lat": 25.7617,
     "lon": -80.1918,
     "buyer": 0.8162518123316667,
     "metro": "Miami",
     "target": 0.9418278843498277,
     "buyerRel": -0.05981641638735746,
     "targetRel": 0.06575965563080355
    },
    {
     "lat": 32.7767,
     "lon": -96.797,
     "buyer": 0.8725458751846871,
     "metro": "Dallas",
     "target": 0.9092438158205433,
     "buyerRel": 0.018452499506307785,
     "targetRel": 0.05515044014216397
    },
    {
     "lat": 34.0522,
     "lon": -118.2437,
     "buyer": 0.893170252135341,
     "metro": "Los Angeles",
     "target": 0.9590317161116034,
     "buyerRel": -0.018147967992925063,
     "targetRel": 0.047713495983337406
    },
    {
     "lat": 29.7604,
     "lon": -95.3698,
     "buyer": 0.8757422357900101,
     "metro": "Houston",
     "target": 0.8952084217616247,
     "buyerRel": 0.027186541932007535,
     "targetRel": 0.04665272790362218
    },
    {
     "lat": 27.9506,
     "lon": -82.4572,
     "buyer": 0.888733553468572,
     "metro": "Tampa",
     "target": 0.9097348450638213,
     "buyerRel": 0.022321562659591065,
     "targetRel": 0.04332285425484039
    },
    {
     "lat": 33.4484,
     "lon": -112.074,
     "buyer": 0.908067641943434,
     "metro": "Phoenix",
     "target": 0.9432474159362935,
     "buyerRel": 0.0055488722493396425,
     "targetRel": 0.040728646242199074
    },
    {
     "lat": 33.749,
     "lon": -84.388,
     "buyer": 0.846706920331274,
     "metro": "Atlanta",
     "target": 0.8638835244998775,
     "buyerRel": 0.023238829136423278,
     "targetRel": 0.04041543330502673
    },
    {
     "lat": 36.1699,
     "lon": -115.1398,
     "buyer": 0.8408845461485173,
     "metro": "Las Vegas",
     "target": 0.9155383072779151,
     "buyerRel": -0.03452769297597036,
     "targetRel": 0.04012606815342745
    }
   ],
   "correlation": -0.5525317558155535,
   "strongholds": [],
   "whiteSpaceCount": 14,
   "relativeToCohort": true
  },
  "shortlistAverages": {
   "value": 0.460515719992653,
   "correlation": -0.07896856001469411
  }
 },
 {
  "id": "t6-m6",
  "label": "m6 Momentum",
  "data": {
   "z": -0.14823772105952981,
   "value": 0.475293713156745,
   "priorSd": 0.002185547413217884,
   "coverage": 1,
   "priorMean": 0.4900738106873983,
   "normalised": true,
   "recentMean": 0.4871090562662077
  },
  "shortlistAverages": {
   "z": 0.3690696956512553,
   "value": 0.5615116159418759
  }
 },
 {
  "id": "t6-profile",
  "label": "Qloo entity profile: Hyperice",
  "data": {
   "name": "Hyperice",
   "drivers": [
    {
     "name": "On",
     "score": 0.25371333688612835
    },
    {
     "name": "Tracksmith",
     "score": 0.25060528077819905
    },
    {
     "name": "HOKA",
     "score": 0.24857185775307408
    },
    {
     "name": "Athletic Brewing Co",
     "score": 0.24710952458259858
    }
   ],
   "ownership": "unknown",
   "keyMarkets": [
    "United States",
    "Canada",
    "Europe",
    "Australia"
   ],
   "popularity": 0.867522164397959,
   "screenRank": 10,
   "foundedYear": 2010,
   "priceRangeUsd": [
    100,
    1200
   ],
   "ultimateParent": null,
   "forwardAffinity": 0.8995609095411924,
   "competitorBrands": [
    "Therabody",
    "Compex",
    "TriggerPoint",
    "PowerDot",
    "Rapid Reboot"
   ],
   "sharedCategories": [],
   "knownPartnerships": [
    "NBA",
    "NFL",
    "MLB",
    "PGA Tour"
   ],
   "marketPositioning": "Premium recovery technology brand focused on high-performance athletic maintenance and professional-grade physical therapy tools."
  },
  "shortlistAverages": {}
 },
 {
  "id": "t6-score",
  "label": "Composite score",
  "data": {
   "F": 59.06754311196155,
   "points": {
    "m1": 22.043471190588953,
    "m2": 2.418032786885246,
    "m3": 8.618190455721152,
    "m4": 9.491696063141616,
    "m5": 2.2373412209222328,
    "m6": 14.25881139470235
   },
   "coverage": 1
  },
  "shortlistAverages": {
   "F": 64.05637653955682
  }
 }
]