Simpatico

VC thesis · HOKA → target #6 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.

Watch
64.0F / 100
70% of the weighted evidence measured

Why this verdict

F 64.0 is between 62 and 67, no red flags.

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 not measured
n/a
Trending rank change over the last 4 weeks vs the 8 before, relative to the cohort.
Qloo has no trending history for the 12 weeks to 2026-10-24.

How F is built

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

MetricWeightPoints
Two-way audience affinity0.2531.5
Taste-profile overlap0.153.5
Cross-domain agreement0.1012.3
Demographic alignment0.1013.6
Geographic footprint0.103.2
Momentumnot measured–
F64.0

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
-0.78-0.390.00+0.39+0.78≤2425–2930–3435–4445–5455+MenWomen

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

Momentum

Qloo has no trending history for the 12 weeks to 2026-10-24.

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 9 claims survived the judge; 1 rejected for citing numbers not in the ledger or misreading them.

Bull: for the deal

  • Composite data coverage is above the shortlist average, so the score rests on a comparatively complete evidence base.

    t6-score.coverage = 0.7

  • The affinity link is balanced in both directions, with a two-way ratio slightly above the shortlist average; HOKA appears among Hyperice's top reverse-affinity brands.

    t6-m1.ratio = 0.9611t6-m1.reverse[2].affinity = 0.8597

  • TV taste agreement between the two audiences exceeds the shortlist average, with shared aggregate affinity for competitive athletic shows such as American Ninja Warrior.

    t6-m3.domains[1].score = 0.9372t6-m3.domains[1].shared[0].affinity = 0.9692

  • Demographic alignment is the standout strength: the aggregate age/gender affinity profiles of HOKA and Hyperice audiences score well above the shortlist average, with both over-indexing male and under-indexing on 55-and-older.

    t6-m4.value = 0.9492t6-m4.cosine = 0.8983

Bear: against, or diligence first

  • Momentum cannot be assessed: the momentum metric has coverage 0 because there is no trending history. The composite therefore rests on partial coverage of 0.7, which leaves a blind spot on whether Hyperice's audience affinity is rising or fading.

    t6-m6.coverage = 0t6-score.coverage = 0.7

    Rejected by the judge: cites Composite score "coverage" = 0.7 as a weakness, but it is above the shortlist average (0.6813)

  • Taste-profile overlap is thin: the aggregate audience taste tags overlap at only 0.1612 versus a shortlist average of 0.2787, and 0.55 of HOKA's top-20 tags are missing from Hyperice's profile (average 0.4143). The target-only tags lean toward hip hop, rap and sports complexes, which suggests different cultural territory.

    t6-m2.value = 0.1612t6-m2.buyerTop20MissingShare = 0.55

  • The geographic footprints diverge. Metro-level audience affinity correlates at -0.5525 against a shortlist average of -0.07897, and the footprint score is 0.2237 versus 0.4605. The code did not raise a geo flag, but diligence should test whether Hyperice's affinity in metros like Miami is incremental or simply misaligned with HOKA.

    t6-m5.correlation = -0.5525t6-m5.value = 0.2237

  • Cross-domain agreement is below average at 0.8618 versus 0.8787. Music is notably weak at 0.8161 against 0.8646, and the running-podcast clashes point to taste niches where the aggregate audiences part ways.

    t6-m3.value = 0.8618t6-m3.domains[0].score = 0.8161

  • On the headline numbers, the composite of 64.01 sits below the shortlist average of 66.9. Two-way affinity is also below average, at 0.8817 versus 0.8957, so even the strongest pillar trails peers.

    t6-score.F = 64.01t6-m1.value = 0.8817

IC memo

Number check passed: 26 number(s), all in the evidence ledger.Written by claude-opus-5-5 (after one repair pass)

Hyperice: WATCH

Recommendation Hyperice ranks 6 of 8 with a composite F of 64.0, below the shortlist average. The verdict rule was "F 64.0 is between 62 and 67, no red flags," so the deal is WATCH. Demographic and TV alignment are strong, but thin taste overlap and diverging geography argue against advancing now.

Where the audiences meet

  • Demographics. This is the standout pillar. Alignment scores 0.95, well above the shortlist average. Both aggregate audiences over-index male and under-index on 55-and-older.
  • Two-way affinity. The link is balanced, with a two-way ratio of 0.96, slightly above average. HOKA appears among Hyperice's top reverse-affinity brands, alongside On and Tracksmith.
  • TV. Taste agreement is 0.94 against 0.92. The audiences show shared aggregate affinity for competitive athletic shows such as American Ninja Warrior and American Gladiators.
  • Data coverage. Composite coverage is above the shortlist average, so the score rests on a comparatively complete evidence base. Momentum data is absent, with no trending history for the window ending 2026-10-24.

Risks

  • Thin taste overlap. Overlap is 0.16 against a shortlist average of 0.28. Of HOKA's top-20 tags, 55% are missing from Hyperice's profile. Hyperice-only tags lean toward hip hop, rap and sports complexes.
  • Diverging geography. Metro affinity correlates at -0.55, far below the shortlist average. The footprint score is 0.22 against 0.46. No geo flag was raised.
  • Weaker cross-domain agreement. The score is 0.86 against 0.88. Music is weak at 0.82 against 0.86. The aggregate audiences also part ways on running podcasts such as Ali on the Run Show.
  • Two-way affinity trails peers. It is 0.88 against 0.90.
  • No code red flags were raised.

Diligence questions

  • Would a co-branded pilot show whether Hyperice's hip hop and sports-complex taste territory extends HOKA's reach or dilutes it?
  • Is Hyperice's metro affinity in places like Miami incremental white space, or is it simply misaligned with HOKA?
  • Why do the aggregate audiences diverge on running podcasts and music, and does that matter for run-club positioning?
  • Can Hyperice's demographic and TV strengths offset a two-way affinity score and a composite score that both sit below peers?
  • What would trending data after 2026-10-24 show about momentum?

Aggregate audience affinities from Qloo, not predictions about individuals. Not investment advice.

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.

PurposeEndpointStatusResultSource
/v2/insightsok23 of 23 candidates scoredcache
/v2/insightsok23 profile(s)cache
/v2/insightsok50 taste tag(s)cache
/v2/insightsok25 recommended artist(s)cache
/v2/insightsokdemographics for 12 of 12 entitiescache
/v2/insightsok25 recommended podcast(s)cache
/v2/insightsok25 recommended movie(s)cache
/v2/insightsok25 recommended tv_show(s)cache
/v2/insightsok8330 heatmap cell(s) in United Statescache
/v2/trendingempty0 trend point(s)live 215 ms
/v2/trendingempty0 trend point(s)live 215 ms
/v2/trendingempty0 trend point(s)live 214 ms
/v2/trendingempty0 trend point(s)live 214 ms
/v2/trendingempty0 trend point(s)live 337 ms
/v2/trendingempty0 trend point(s)live 360 ms
/v2/trendingempty0 trend point(s)live 362 ms
/v2/trendingempty0 trend point(s)live 374 ms
/v2/trendingempty0 trend point(s)live 450 ms
/v2/trendingempty0 trend point(s)live 626 ms
/v2/trendingempty0 trend point(s)live 1412 ms
/v2/trendingempty0 trend point(s)live 1675 ms
/v2/insightsok50 taste tag(s)cache
/v2/insightsok4 of 4 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok25 of 25 candidates scoredcache
/v2/analysis/compareok0 shared catalogue tag(s)cache
/v2/insightsok25 of 25 candidates scoredcache
/v2/insightsok4787 heatmap cell(s) in United Statescache
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": null,
   "note": "Qloo has no trending history for the 12 weeks to 2026-10-24.",
   "value": null,
   "priorSd": null,
   "coverage": 0,
   "priorMean": null,
   "normalised": false,
   "recentMean": null
  },
  "shortlistAverages": {}
 },
 {
  "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": 64.01247388179887,
   "points": {
    "m1": 31.49067312941279,
    "m2": 3.454332552693209,
    "m3": 12.311700651030218,
    "m4": 13.559565804488024,
    "m5": 3.196201744174618,
    "m6": 0
   },
   "coverage": 0.7
  },
  "shortlistAverages": {
   "F": 66.89621770116648,
   "coverage": 0.68125
  }
 }
]