Langfuse Tech Stack

Open source LLM observability and prompt management platform

Software Development San Francisco 2–10 employees Founded 2022 Privately Held

Langfuse is a 2-year-old open source platform for tracing, evaluating, and debugging AI applications, now part of ClickHouse. The tech stack reflects a full-stack web company — React, TypeScript, Next.js on frontend; Express, Prisma, tRPC on backend; ClickHouse for analytics — paired with Python SDKs for developer adoption. Active hiring across engineering, sales, and support signals a shift from product-first community growth toward structured go-to-market: pain points center on customer adoption, onboarding friction, and sales process design, while projects show parallel investment in pricing experimentation and signup optimization.

Tech Stack 26 technologies

Core StackGitHub React TypeScript Express Next.js Tailwind CSS Prisma HubSpot Salesforce ClickHouse Datadog Slack Docker Python Terraform OpenTelemetry Helm BigQuery dbt Metabase PostHog tRPC shadcn/ui X Docker Compose

AdoptingDatadog

What Langfuse Is Building

◆Challenges

Customer adoption
Building useful applications
Building go-to-market functions
Llm observability data problem
Improving net revenue retention
Complex user flows
Reducing onboarding friction
Establishing sales processes
Onboarding and adoption
Upsell opportunities

▲Active Projects

Pricing and packaging experimentation
Customer onboarding and success
Production readiness guidance
Content creation
Prototype and reference implementation development
Typescript sdk v4 rewrite
Documentation improvement
Feedback loop development
Crm workflow design
Optimize signup flows

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Engineering

Sales

Support

Design

Product

Seniority

Senior

Mid

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About Langfuse

Langfuse helps engineering and product teams build and operate AI applications through tracing, prompt management, and evaluation pipelines. The platform supports self-hosted and managed deployments and integrates with OpenAI, Langchain, Llama-Index, and Vercel AI SDK. Core use cases span real-time observability (cost, latency, user feedback), prompt testing via a playground UI, human-in-the-loop annotation workflows, and security risk monitoring. The company was founded in 2022 and operates from San Francisco with a small team expanding into Germany.

HeadquartersSan Francisco

Company Size2–10 employees

Founded2022

Hiring MarketsGermany, United States

Frequently Asked Questions

What tech stack does Langfuse use?

Frontend: React, TypeScript, Next.js, Tailwind CSS, shadcn/ui. Backend: Express, Prisma, tRPC. Data: ClickHouse, BigQuery, dbt. Observability: Datadog, PostHog, OpenTelemetry. SDKs: Python and TypeScript.

What is Langfuse working on?

Current projects include TypeScript SDK v4 rewrite, pricing and packaging experimentation, customer onboarding and success improvements, production readiness guidance, and CRM workflow design.