Products
AI Benchmark
Desktop
Mobile
Monthly visits
51.7K
Up10.8%MoMSep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Unknown
Subscription model, plan pricing not identified yet
Creators
Rishab Ramanathan
No social account linked+1 more creators
Launched
3y ago
2023-05-10 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending
Events18 changes

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (8 pts · 1 comments)Launch

    A Vercel-like workflow for AI evals that makes sense

    Apr 25, 2024 · 2y agoLaunch page

  • Launched on Product HuntLaunch

    Slack or email alerts for when your AI fails

    Dec 7, 2023 · 2y agoLaunch page

  • Launched on Show HN (53 pts · 11 comments)Launch

    Openlayer – Test, fix, and improve your ML models — Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: Openlayer is an ML testing, evaluation, and observabi…

    May 15, 2023 · 3y agoLaunch page

  • Launched on Show HN (14 pts · 2 comments)Launch

    Openlayer – test, fix, and improve your ML models — Hey HN! My name is Vikas, and my cofounders Rish, Gabe and I are building [Openlayer]( ). Openlayer is an ML testing, evaluation, and obse…

    May 10, 2023 · 3y agoLaunch page

  • Launched on Product HuntLaunch

    Test, fix, and improve your ML models

    May 10, 2023 · 3y agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2023-05-10Source
Post excerpt:
Hey HN! My name is Vikas, and my cofounders Rish, Gabe and I are building [Openlayer]( http://openlayer.com/?ref=hn ). Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robu
Show HN
2023-05-15Source
Post excerpt:
Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the my
Console.dev
2023-11-30Source
What engineers like:
Development mode to help as you build a model e.g. create test cases and data validations. Validate performance and quality of responses. Monitoring mode to help once models are deployed e.g. performance, checking expected responses. Get notifications about problems. Can auto instrument OpenAI calls.
Trade-offs & limitations:
UI doesn’t default to using system settings for light/dark mode. Missing some documentation tutorials.
Best suited for:
Developers building AI models should consider Openlayer

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-09-29
GitHub Stars
★ 6
Forks
—
License
Apache-2.0
Primary language
Python

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct58%
  • Organic Search25%
  • AI Assistants8%
  • Referrals6%
  • Other2%

Countries

  • United States28%
  • India13%
  • Vietnam5%
  • Italy5%
  • Brazil4%

Search

Domain authority —Domain registered 2006-04-21

KeywordMonthly volume
mape49.2K
openlayer530
llm benchmarks for code generation300
context test for ai140
lime explainability how it works130

Traffic data: Vaneform

Pricing

Basic
Unknown
1 workspace
Enterprise
Contact sales
Unlimited members

Trial: None · Enterprise custom tier · Observed 2026-11-03 · Pricing page

Pages & changes

Tracked since 2023-05-10

Key pages

Weekly snapshots
www.openlayer.com/ Snapshot 2026-11-04

Changes

  1. Nov 1 · 14d ago

    Homepage headline (H1) changed to “Every AI system in your company. In one place. Under control.”Positioning

    AI governance platform for trust and control→Every AI system in your company. In one place. Under control.

  2. Nov 1 · 14d ago

    Removed technology: Amazon Web ServicesFeatures

    Amazon Web Services→—

  3. Nov 1 · 14d ago

    Adopted technology: CloudflareFeatures

    —→Cloudflare

  4. Nov 1 · 14d ago

    Removed technology: EmotionFeatures

    Emotion→—

  5. Nov 1 · 14d ago

    Adopted technology: Google AnalyticsFeatures

    —→Google Analytics

  6. Nov 1 · 14d ago

    Adopted technology: HotjarFeatures

    —→Hotjar

Design

First-screen visual analysis & :root CSS

Editorial (Light canvas, balanced density) featuring headline over large product shot layout and product ui screenshot / component visuals.

First-screen preview · click to zoom

First-screen pitch & conversion flow

“Every AI system in your company. In one place. Under control.”

Headline Over Large Product Shot hero structure paired with book demo / contact sales CTA and customer / press logo strip.

Conversion path: Headline Over Large Product Shot + Product UI Screenshot / Component → Book Demo / Contact Sales · Trust bar: Customer / Press Logo Strip

Palette · click to copy

5-D design score7.7 / 10
Typography
8.0
Color & Contrast
7.0
Layout & Spacing
8.0
Craft & Polish
8.0
Distinctiveness
7.0

Structure

Fonts
Instrument Serif / Inter
Primary visual
Product UI Screenshot / Component
Social proof
Customer / Press Logo Strip
Navigation
Full-Width Top Bar
Theme & density
Light · Balanced
Corners & depth
Large Radius · With shadow
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Editorial (with Enterprise Clean)

Oversized serif headlines, narrow reading columns, and magazine-inspired grid layouts.

## Design Tokens

```css
:root {
  --background: #ffffff;
  --surface: #f4f5f7;
  --foreground: #171717;
  --muted-foreground: #6b7280;
  --accent: #7c5cbf;
  --radius: 16px;
  --font-heading: "Instrument Serif", serif;
  --font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
}
```

Color area ratio: Background #FFFFFF (~52%) · Surface #F4F5F7 (~22%) · Text #171717 (~14%) · Muted Text #6B7280 (~7%) · Accent #7C5CBF (~5%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.

## Layout & Conversion Structure

- Hero layout: Headline Over Large Product Shot
- Navigation: Full-Width Top Bar
- Theme & density: Light · Balanced
- Border radius & elevation: Large Radius; use elevation shadows to separate layers
- Primary visual medium: Product UI Screenshot / Component
- Conversion CTA: Book Demo / Contact Sales · Trust bar uses Customer / Press Logo Strip
- Headline hook: Category Positioning Anchor
- Hero components: Large Hero Product Shot, Customer Logo Wall
- Spatial layout notes: Headline Over Large Product Shot hero structure paired with book demo / contact sales CTA and customer / press logo strip.
- Visual summary: Editorial (Light canvas, balanced density) featuring headline over large product shot layout and product ui screenshot / component visuals.

## Avoid

- Generic SaaS hero templates
- Cramped multi-column feature grids
- Neon cyber accents

Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.

Questions & evidence

How much does Openlayer cost?
Basic: Unknown; Enterprise: Contact sales. Observed 2026-11-03. Check the source for current billing terms, usage limits and taxes.Source
How much website traffic does Openlayer get?
Vaneform estimates 51.7K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Openlayer and what platforms does it support?
Openlayer is catalogued under Prompts, Evals & LLM Observability: Every AI system in your company.. Supported platforms: CLI / SDK, API.
Is Openlayer open source?
Openlayer has a public repository (https://github.com/openlayer-ai/openlayer-python) under the Apache-2.0 license, recording 6 GitHub stars.Source

Related products in this category

AI Models & Agents / Prompts, Evals & LLM Observability

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.