# LLM Stats Landing Page Growth Score | YC S25 | Lazyweb

Lazyweb publishes a public search API over its indexed pages; the guide is at https://www.lazyweb.com/agent-access.

Source: https://www.lazyweb.com/yc-s25/llm-stats
Source observed: 2026-10-08T02:43:48.058Z
Last checked: 2026-10-20T07:18:30.703+00:00
Indexed: 2026-10-08T05:31:18.209+00:00

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# LLM Stats Landing Page Growth Score

We provide this YC S25 growth report for [LLM Stats](https://llm-stats.com/), an AI leaderboard that ranks 300+ AI models by intelligence, speed, and price. The report evaluates its landing page across information hierarchy, CTA, mobile web, trust, and value propositions.

## Overall result

- **Growth score:** 66/100
- **Updated:** September 22, 2026
- **Weakest category:** Information hierarchy
- **Category scores:** Information hierarchy **56**, CTA **62**, Mobile web **62**, Trust **68**, Value props **82**

[Fix information hierarchy](https://www.lazyweb.com/plans/checkout?plan=individual&source=growth_score_feature_build_fixes)

## Ranking among comparable sites

1. [OpenRouter Rankings](https://www.lazyweb.com/growth-score/site/openrouter.ai) — 77
2. [Epoch AI Benchmarks](https://www.lazyweb.com/growth-score/site/epoch.ai) — 76
3. LLM Stats — 66
4. [LMArena](https://www.lazyweb.com/growth-score/site/lmarena.ai) — 66
5. [Artificial Analysis](https://www.lazyweb.com/growth-score/site/artificialanalysis.ai) — 65
6. [Vellum LLM Leaderboard](https://www.lazyweb.com/growth-score/site/vellum.ai) — 65

## Score over time

The report includes these dated scores and changes:

1. **September 22, 2026 — 66:** live; Mobile web +4; Information hierarchy −2.
2. [September 7, 2026 — 66](https://www.lazyweb.com/growth-score/history/2026-09-07): overall −2; CTA −6; Value props −2.
3. [August 25, 2026 — 68](https://www.lazyweb.com/growth-score/history/2026-08-25): overall +1; CTA +4; Trust −4.
4. [August 11, 2026 — 67](https://www.lazyweb.com/growth-score/history/2026-08-11): overall +1; Trust +4; CTA +2.
5. [July 27, 2026 — 66](https://www.lazyweb.com/growth-score/history/2026-07-27): overall −2; CTA −6; Mobile web −5.
6. [July 14, 2026 — 68](https://www.lazyweb.com/growth-score/history/2026-07-14): overall +3; CTA +10; Trust +6.
7. [June 30, 2026 — 65](https://www.lazyweb.com/growth-score/history/2026-06-30): first tracked report; strongest Value props 84; weakest CTA 58.

## Information hierarchy — 56, Fair

![Information hierarchy annotations on the desktop capture](https://zlfyzdmohcskkucuunmk.supabase.co/storage/v1/object/public/sites/growth-score/site/llm-stats.com.jpg?v=2026-09-22T05%3A47%3A36.933%2B00%3A00)

The report identifies four competing visual bands before the leaderboard table:

1. **Sub-nav category strip:** 14+ same-weight links, including Coding, Writing, Math, and Research, create a dense exit row before the headline.
2. **Six-stat superlative row:** six equal-weight statistic blocks compete for attention.
3. **Open Superagent banner:** the most button-styled fold element promotes another product and outranks the page's primary action.
4. **Four Best-AI cards:** this row duplicates the sub-nav categories and adds another competing band.

[View layout plan](https://www.lazyweb.com/backlog?site=llm-stats.com#opt-information-hierarchy)

## CTA — 62, Fair

The report evaluates copy, size, verb, and cost-feel. Identified problems are:

- The CTA is buried in a thin promotional banner.
- It points away from the core product.
- There is no dominant hero CTA.
- “Free” appears in the banner rather than the button.

The CTA comparison ranks:

1. [LMArena](https://www.lazyweb.com/growth-score/site/lmarena.ai) — 82
2. [Vellum LLM Leaderboard](https://www.lazyweb.com/growth-score/site/vellum.ai) — 78
3. [OpenRouter Rankings](https://www.lazyweb.com/growth-score/site/openrouter.ai) — 76
4. [Epoch AI Benchmarks](https://www.lazyweb.com/growth-score/site/epoch.ai) — 68
5. LLM Stats — 62
6. [Artificial Analysis](https://www.lazyweb.com/growth-score/site/artificialanalysis.ai) — 48

[Rewrite this CTA](https://www.lazyweb.com/backlog?site=llm-stats.com#opt-cta-writing) to generate primary and secondary options grounded in LLM Stats's offer and visitor objections.

## Mobile web — 62, Fair

![Mobile web annotations on the mobile capture](https://zlfyzdmohcskkucuunmk.supabase.co/storage/v1/object/public/sites/growth-score/site/llm-stats.com-mobile.jpg?v=2026-09-22T05%3A47%3A36.933%2B00%3A00)

The mobile findings are:

1. **Truncated navigation tab:** “Open LLM Leaderboar” cuts off mid-word.
2. **Promotional banner as top action:** “Open Superagent” is the only visible button, directing the first tap to a secondary product rather than the leaderboard.
3. **Cramped tile text:** “Code generation & debugging” wraps into four one-to-two-word lines inside the Best AI for Coding card.

[View mobile fixes](https://www.lazyweb.com/backlog?site=llm-stats.com#opt-mobile-web)

## Trust — 68, Fair

The trust comparison records these visible signals:

| Product | Trust read |
|---|---|
| LLM Stats | Live leaderboard table with model rows and metrics, including GPT-6 Astra with a 59.7 LLM Stats score, $11.90/M, and 1.1M context. |
| Artificial Analysis | Live benchmark charts for “Intelligence,” “Speed,” and “Cost per Task,” comparing named models with specific scores. |
| LMArena | Live “Ask anything…” prompt box with Battle/Auto mode controls showing product UI. |
| Vellum LLM Leaderboard | No visible trust signal identified. |
| OpenRouter Rankings | Stat bar: “400T+ Monthly Tokens · 10M+ Global Users · 80+ Providers · 500+ Models”. |
| Epoch AI Benchmarks | “Trusted by leading publications and institutions” logo strip, including Our World in Data, DSIT, and the Government of the Netherlands; the supplied text cuts off after “N”. |

[Build proof section](https://www.lazyweb.com/backlog?site=llm-stats.com#opt-trust-signals)

## Value props — 82, Strong

The evaluated headline is:

> **AI Leaderboard — Rankings for 300+ Top AI Models by Intelligence, Speed & Price**

The supporting copy describes independent rankings of GPT, Claude, Gemini, Llama, DeepSeek, and 300+ AI models, using a composite LLM Stats Score updated continuously from public benchmarks and live API metrics. It directs visitors to the full LLM Leaderboard for complete rankings with advanced filters.

The report identifies these strengths:

- “300+ models” and “$2.00/M tok” ground the claim.
- “Independent” and “live API metrics” build trust.
- A live table demonstrates the product in the fold.

It identifies these possible improvements:

- No user outcome is named, such as choosing, saving, or deciding.
- There is no emotional hook; the copy is purely descriptive.
- Superlative card units repeat “tokens tokens”.

## Competitors

The report infers these competitors from product, audience, and value proposition:

1. [OpenRouter Rankings](https://www.lazyweb.com/growth-score/site/openrouter.ai) — openrouter.ai — 77
2. [Epoch AI Benchmarks](https://www.lazyweb.com/growth-score/site/epoch.ai) — epoch.ai — 76
3. LLM Stats — 66
4. [LMArena](https://www.lazyweb.com/growth-score/site/lmarena.ai) — lmarena.ai — 66
5. [Artificial Analysis](https://www.lazyweb.com/growth-score/site/artificialanalysis.ai) — artificialanalysis.ai — 65
6. [Vellum LLM Leaderboard](https://www.lazyweb.com/growth-score/site/vellum.ai) — vellum.ai — 65

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