KashikoiYC P25 landing page report.
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Your landing page’s weakest score is Trust.

Fix Trust

Score over time

858075706560Braintrust 79 on Mar 24 (Wayback)Braintrust 77 on May 4 (Wayback)Braintrust 78 on Jun 13 (Wayback)Braintrust 77 on Jul 28 (Live)LangSmith 64 on May 27 (Wayback)LangSmith 67 on Jun 11 (Wayback)LangSmith 68 on Jun 24 (Wayback)LangSmith 65 on Jul 10 (Wayback)LangSmith 66 on Jul 23 (Wayback)LangSmith 67 on Jul 28 (Live)LangSmith 70 on Aug 9 (Wayback)Langfuse 77 on Sep 3 (Live)Confident AI (DeepEval) 75 on Mar 24 (Wayback)Confident AI (DeepEval) 75 on Apr 13 (Wayback)Confident AI (DeepEval) 74 on May 17 (Wayback)Confident AI (DeepEval) 70 on Aug 11 (Wayback)Confident AI (DeepEval) 64 on Sep 20 (Wayback)Confident AI (DeepEval) 72 on Sep 21 (Live)Maxim AI 68 on Apr 10 (Wayback)Maxim AI 68 on Apr 18 (Wayback)Maxim AI 72 on May 29 (Wayback)Maxim AI 72 on Jun 18 (Wayback)Maxim AI 76 on Jul 24 (Wayback)Maxim AI 68 on Sep 9 (Wayback)Maxim AI 67 on Sep 21 (Live)Kashikoi 69 on Apr 19 (Wayback)Kashikoi 69 on May 16 (Wayback)Kashikoi 71 on Sep 21 (Live)Apr 19May 16Sep 21
Past reportsShow past reportsHide past reports
  1. Sep 21, 202671LiveOverall +2 · Information hierarchy +10 · Value props +6Viewing
  2. May 16, 202669Trust −4 · CTA +3View →
  3. Apr 19, 202669First tracked report — strongest Value props 78, weakest Trust 62View →

Trust

56Fair

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

Kashikoi
Langfuse
Braintrust
Confident AI (DeepEval)
Maxim AI
Trust read
Kashikoi"Backed by Y Combinator" badge above the hero headline
Braintrust"TRUSTED BY THE BEST AI TEAMS" logo wall (Airtable, Notion, Stripe, Instacart, Dropbox, Ramp)
LangSmith'Interrupt is coming to London & NYC in the fall!' conference banner
LangfuseUsed by 21 of Fortune 50 · 90B+ observations/month · 100,000+ engineers building on Langfuse
Confident AI (DeepEval)GitHub star count "18,360" in the nav alongside the real "Test Runs" product dashboard screenshot
Maxim AI"[ WE'RE OPEN SOURCE ]" badge with GitHub link and "npx @maximhq/bifrost" install command

CTA

66Fair

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

Kashikoi
Langfuse
Confident AI (DeepEval)
Braintrust
LangSmith

Problems

  • demo booking feels costly
  • contradicts '1 Prompt. No Code.' promise
  • two competing sales CTAs
  • cheap 'Explore Example' buried

Mobile web

72Fair

The phone experience as a first-class citizen.

Mobile web annotations on the mobile capture123
  1. Headline wraps four lines — "Benchmark Kashikoi's AI With 1 Prompt. No Code." scaled down too little and wraps into four cramped lines, pushing the CTA deep into the fold.
  2. Book a Demo button — Desktop-proportioned pill floating in the column instead of a full-width thumb-friendly bar, and it sits at the very bottom edge of the first viewport.
  3. Metric cards clipped — The four-across stat row from desktop is squeezed into the phone column, clipping the "Severity Accuracy" card at the right edge.

Information hierarchy

76Fair

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

Information hierarchy annotations on the desktop capture1234
  1. Talk to the Founders button — Same solid-blue weight as 'Book a Demo', creating two competing primary actions in the fold.
  2. Dual dashboard panels — Two side-by-side dashboards with eight stat cards each split attention; one example would carry the proof.
  3. Nav link row — Four exit links ('Simulators', 'How it works', 'Blog', 'FAQ') leak attention before the demo ask.
  4. Explore Example links — Two identical secondary CTAs at equal weight add a third action path above the fold.

Value props

84Strong

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

Kashikoi’s headline sellsBenchmark Your AI With 1 Prompt. No Code.Kashikoi simulates real-world interactions to autonomously evaluate your agent - stop babysitting evals and ship with confidence!

Working

  • '1 Prompt. No Code.' is specific and objection-killing
  • 'Stop babysitting evals' names the real pain
  • Hero shows live scorecards, not decoration

Could improve

  • Subhead lacks a concrete number or timeframe
  • 'Real-world interactions' stays abstract
  • Sample metrics need context to skim-parse