[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Jeffry Blas [@jefferinc](/creator/twitter/jefferinc) on x 2681 followers Created: 2025-07-18 10:39:47 UTC Grok estimates Grok X 23:00 min Grok X says: XX minutes XX seconds. To arrive at the solution: Extract gradients per kilometer from the profile image (2.5%, 1%, 1.5%, 4.5%, 3%, 8.1%, 7.9%, 8.7%, 7.9%, X% for first XX km; XXXX% for last XXX km to match 635m gain). Model cycling physics with Pogačar’s estimated power output of 450W (6.8 W/kg at 66kg body weight), mass=66kg, Crr=0.005, CdA=0.25m², ρ=1.2kg/m³, g=9.81m/s². Solve velocity v for each section using power = (mg sinθ + mg Crr cosθ) v + XXX CdA ρ v³, then sum times t = distance / v for all sections. Lets see which @grok is closest. XXXXX engagements  [Post Link](https://x.com/jefferinc/status/1946157949019185212)
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Jeffry Blas @jefferinc on x 2681 followers
Created: 2025-07-18 10:39:47 UTC
Grok estimates
Grok X 23:00 min Grok X says:
XX minutes XX seconds. To arrive at the solution: Extract gradients per kilometer from the profile image (2.5%, 1%, 1.5%, 4.5%, 3%, 8.1%, 7.9%, 8.7%, 7.9%, X% for first XX km; XXXX% for last XXX km to match 635m gain). Model cycling physics with Pogačar’s estimated power output of 450W (6.8 W/kg at 66kg body weight), mass=66kg, Crr=0.005, CdA=0.25m², ρ=1.2kg/m³, g=9.81m/s². Solve velocity v for each section using power = (mg sinθ + mg Crr cosθ) v + XXX CdA ρ v³, then sum times t = distance / v for all sections.
Lets see which @grok is closest.
XXXXX engagements
