TensorPoolYC W25 landing page report.
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Your landing page’s weakest score is Trust.

Fix Trust

Score over time

807570656055Modal 75 on Jun 28 (Wayback)Modal 76 on Jul 11 (Wayback)Modal 77 on Jul 25 (Wayback)Modal 76 on Aug 7 (Wayback)Modal 76 on Aug 24 (Wayback)Modal 75 on Sep 8 (Wayback)Modal 76 on Sep 20 (Live)RunPod 60 on Jun 15 (Wayback)RunPod 60 on Jun 28 (Wayback)RunPod 62 on Jul 11 (Wayback)RunPod 61 on Jul 24 (Wayback)RunPod 73 on Aug 7 (Wayback)RunPod 74 on Aug 25 (Wayback)RunPod 68 on Sep 20 (Live)Lambda 67 on May 4 (Wayback)Lambda 67 on May 14 (Wayback)Lambda 70 on Jun 28 (Wayback)Lambda 71 on Jul 14 (Wayback)Lambda 70 on Jul 31 (Wayback)Lambda 70 on Sep 3 (Wayback)Lambda 71 on Sep 21 (Live)CoreWeave 60 on May 27 (Wayback)CoreWeave 58 on Jun 24 (Wayback)CoreWeave 63 on Jul 14 (Wayback)CoreWeave 59 on Jul 25 (Wayback)CoreWeave 64 on Aug 7 (Wayback)CoreWeave 60 on Sep 6 (Wayback)CoreWeave 62 on Sep 21 (Live)Together AI 73 on May 4 (Wayback)Together AI 73 on May 19 (Wayback)Together AI 73 on May 30 (Wayback)Together AI 73 on Jun 17 (Wayback)Together AI 74 on Jul 2 (Wayback)Together AI 70 on Jul 15 (Wayback)Together AI 73 on Jul 28 (Live)TensorPool 58 on Mar 27 (Wayback)TensorPool 64 on Sep 22 (Live)Mar 27Sep 22
Past reportsShow past reportsHide past reports
  1. Sep 22, 202664LiveOverall +6 · Mobile web +18 · Information hierarchy +6Viewing
  2. Mar 27, 202658First tracked report — strongest Information hierarchy 72, weakest Trust 34View →

Trust

34Poor

Proof that the product is real, competent, and safe to try.

TensorPool
Together AI
Modal
RunPod
CoreWeave
Lambda
Trust read
TensorPoolNEW — Introducing nb.dev: an ML-first notebook with GPU attached, snapshots, and branching
ModalCustomer logo strip featuring Ramp, Quora, DoorDash, Suno, Cognition, Runway, Substack, PostHog
RunPod"Trusted by 1M+ developers at the world's leading AI companies"
Lambda"Complete AI factories with high-density power, liquid cooling, and NVIDIA GPUs" spec detail in the mobile 01/ blurb
CoreWeaveCoreWeave recognized as a Visionary in the Gartner® Magic Quadrant™ for Cloud AI Infrastructure
Together AI"TRUSTED BY" logo strip with Cohere, DeepMind, LG AI Research, VFS.Global, ElevenLabs

CTA

64Fair

Copy, size, verb, cost-feel — does the primary CTA earn the click?

TensorPool
RunPod
Together AI
Lambda
Modal

Problems

  • pun verb hides the payoff
  • click outcome unclear
  • no value word in label

Value props

68Fair

Title, subtitle, hero — do they sell the product's true value?

TensorPool’s headline sellsYou focus on the models. We handle the infrastructure.Train foundation models without thinking about infrastructure.

Working

  • Clear division of labor in one line
  • Speaks to infra frustration ML devs feel
  • Audience instantly self-identifies

Could improve

  • Subhead repeats headline, adds nothing
  • Zero numbers or proof points in fold
  • Hero graphic decorates, shows no product

Mobile web

76Fair

The phone experience as a first-class citizen.

Mobile web annotations on the mobile capture1234
  1. Clipped LEARN MORE button — Secondary button overflows past the right viewport edge, cutting off its border and label.
  2. Three-line announcement banner — The nb.dev promo wraps to three dense lines, eating a large slice of the first viewport before the hero.
  3. ENTER THE POOL width — Primary CTA sits at roughly 60% width sharing a row instead of a full-bleed thumb-friendly button.
  4. Clipped SIGN IN button — The header SIGN IN button bleeds off the right edge, signaling an unchecked responsive layout.

Information hierarchy

78Fair

Does the design help or inhibit what the page is trying to say?

Information hierarchy annotations on the desktop capture123
  1. Cyan announcement banner — Full-width cyan bar is the brightest element on the page and pulls the eye to nb.dev before the hero CTA.
  2. Nav link row — Five equal-weight links plus SIGN IN give six exits before the visitor reaches ENTER THE POOL.
  3. LEARN MORE button — Outlined at nearly the same size as ENTER THE POOL, splitting the click decision at the fold's action point.

Competitors

inferred from product, audience, and value prop