Trace, test, route and govern every LLM call in your company, from your own agents to the coding assistants your engineers use.
langwatch.ai Source★ 1,793MITAI Models & Agents / Prompts, Evals & LLM Observability
- Monthly visits
- 30.1K
- Up9.4%MoMSep 2026
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- $34/mo
- Higher than 63% of peersNiche median $21.595/mo
- Creators
- Alexander Forbes-Reed
- @alexforbesreed· 20 followersCo-created with Richard Huth, Rogério Chaves
- Launched
- 2y ago
- 2024-04-24 · Est.
Traffic
Marketing moves
Launches, search & content, referrals, promotionsLaunched on Product HuntLaunch
See what your Claude Code sessions actually cost
Jul 30 · 4mo agoLaunch page
Launched on Show HN (9 pts)Launch
Langy, an automated AI engineer (we gave it a robot body) [video] — Founder here. Langy is an AI engineer that lives inside our platform, LangWatch. It reads your production traces, writes Scenario tests an…
Jul 22 · 4mo agoLaunch page
Launched on Show HN (4 pts)Launch
Evals Skills — Hello HN I'm Rogerio, co-founder of LangWatch This past month we've completely changed the way we onboard new customers now on LangWatch,…
Mar 23 · 8mo agoLaunch page
Launched on Product HuntLaunch
Agentic testing for agentic codebases
Jun 26, 2025 · 17mo agoLaunch page
Launched on Product HuntLaunch
Evaluate & optimize your LLM performance with DSPy
Dec 19, 2024 · 23mo agoLaunch page
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metrics- Post excerpt:
- Hello HN I'm Rogerio, co-founder of LangWatch This past month we've completely changed the way we onboard new customers now on LangWatch, instead of giving them instructions on how to instrument, cookbooks or UIs to build evals, or docs on how to write Scenario agent simulation tests, we simply give them skills now, or ready to copy-and-paste prompts. This h
- Post excerpt:
- Founder here. Langy is an AI engineer that lives inside our platform, LangWatch. It reads your production traces, writes Scenario tests and evaluations for the problems it finds, opens a pull request on your repo, and proves the fix by running those simulations in CI. A human still merges. Reachy robot from Hugging Face arrived on the same week we were plani
Open Source & Agent Ecosystem
- GitHub Stars
- ★ 1,793
- Forks
- 171
- License
- MIT
- Primary language
- JavaScript
- Ecosystem & integrations:
- LangChainLangGraphCrewAIMastraPydantic AIVercel AI SDKClaude CodeCodexCopilotOpencode
- Exposed tool capabilities:
- Model EvaluationLLM RoutingToken TrackingAgent simulationsLLM as a judgeOnline evaluations
Traffic sources
Traffic breakdown
Channels
- Direct40%
- Organic Search32%
- Referrals11%
- Social6%
- Other11%
Countries
- United States31%
- Brazil13%
- India13%
- Canada4%
- France3%
Search
Domain authority —Domain registered 2023-09-17
| Keyword | Monthly volume |
|---|---|
| langwatch | 1,290 |
| in claude how to see which device used how much token? | 290 |
| open telimery tracker claude | 260 |
| langwatch ai | 240 |
| langwatch redteaming | 180 |
Traffic data: Vaneform
Pricing
Trial: None · 1 paid tier ($34) · Enterprise custom tier · Observed 2026-11-04 · Pricing page
Entry price $34/mo, Higher than 63% of peers; “Prompts, Evals & LLM Observability” median is $21.595/mo.View pricing benchmark
Pages & changes
Key pages
Weekly snapshotsChanges
Design
Editorial (Light canvas, airy 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
“Agent Observability & Evals for AI Platform teams”
Headline Over Large Product Shot hero structure paired with book demo / contact sales CTA and no explicit trust bar.
Conversion path: Headline Over Large Product Shot + Product UI Screenshot / Component → Book Demo / Contact Sales
- Target Audience Callout
- Large Hero Product Shot
- Code & Terminal
Palette · click to copy
- Typography
- 8.0
- Color & Contrast
- 8.0
- Layout & Spacing
- 8.0
- Craft & Polish
- 8.0
- Distinctiveness
- 7.0
Structure
- Fonts
- Instrument Serif / Inter / JetBrains Mono
- Hero layout
- Headline Over Large Product Shot
- Primary visual
- Product UI Screenshot / Component
- Conversion CTA
- Book Demo / Contact Sales
- Social proof
- No Explicit Trust Bar
- Navigation
- Full-Width Top Bar
- Theme & density
- Light · Airy
- Corners & depth
- Pill · 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 Gradient Glow)
Oversized serif headlines, narrow reading columns, and magazine-inspired grid layouts.
## Design Tokens
```css
:root {
--background: #fbf6f1;
--surface: #ffffff;
--foreground: #1a1a1a;
--muted-foreground: #6a6a6a;
--accent: #e25c12;
--radius: 9999px;
--font-heading: "Instrument Serif", serif;
--font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
--font-mono: "JetBrains Mono", ui-monospace, monospace;
}
```
Color area ratio: Background #FBF6F1 (~46%) · Surface #FFFFFF (~22%) · Text #1A1A1A (~14%) · Muted Text #6A6A6A (~8%) · Accent #E25C12 (~10%). 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 · Airy
- Border radius & elevation: Pill; use elevation shadows to separate layers
- Primary visual medium: Product UI Screenshot / Component
- Conversion CTA: Book Demo / Contact Sales
- Headline hook: Target Audience Callout
- Hero components: Large Hero Product Shot, Code & Terminal
- Spatial layout notes: Headline Over Large Product Shot hero structure paired with book demo / contact sales CTA and no explicit trust bar.
- Visual summary: Editorial (Light canvas, airy 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 LangWatch cost?
- Developer: $0; Growth: $34/mo; Enterprise: Contact sales. Observed 2026-11-04. Check the source for current billing terms, usage limits and taxes.Source
- How much website traffic does LangWatch get?
- Vaneform estimates 30.1K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
- What is LangWatch and what platforms does it support?
- LangWatch is catalogued under Prompts, Evals & LLM Observability: Trace, test, route and govern every LLM call in your company, from your own agents to the coding assistants your engineers use.. Supported platforms: CLI / SDK.
- Is LangWatch open source?
- LangWatch has a public repository (https://github.com/langwatch/langwatch) under the MIT license, recording 1,793 GitHub stars.Source
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