Dash0 vs Langfuse

Founders Use OpenAI Codex and Vercel to Build Startups

The article profiles three startup founders—Vincent, Amerigo, and Jolina—participating in the 'Gründerszene sucht die Supergründer' fellowship program in Berlin. They leverage AI tools to build their consumer startups without deep coding expertise. OpenAI's Codex is used for coding assistance, code review, and automated testing, while Vercel handles deployment and preview testing via private links. Dash0 is planned for future monitoring of AI application performance, latency, and costs, though not yet fully integrated. The ten-week program, supported by partners including OpenAI, Vercel, Dash0, and DHL, guides fellows from idea to product. All resulting products are owned by Axel Springer.

• Three founders use OpenAI's Codex for coding, review, and testing without deep coding skills.
• Vercel is used for deploying web applications and creating private preview links for testing.
• Dash0 is planned for monitoring AI application performance and costs, but is not yet in daily use.

Dash0 Acquires Polar Signals to Enhance AI Observability

Dash0, a German-American observability software startup, has acquired Berlin-based Polar Signals, a company specializing in continuous profiling. The acquisition aims to integrate deeper code-level performance analysis into Dash0's platform and enable AI agents to autonomously monitor and optimize software. Dash0 plans to use Polar Signals' Great Lakes storage engine, replacing ClickHouse in its SignalStore infrastructure. Founded in 2023 by Mirko Novakovic, Dash0 recently raised $110 million in Series B funding at a $1 billion valuation, achieving unicorn status. It serves over 750 customers, including Zalando, Taco Bell, and The Telegraph. The deal highlights Dash0's shift from traditional monitoring to AI-driven self-optimizing software, where AI agents can identify and fix performance issues before human intervention.

• Dash0 acquired Polar Signals, a Berlin-based continuous profiling startup.
• Dash0 will integrate Polar Signals' profiling data into its AI agent 'Agent0'.
• Polar Signals' Great Lakes storage engine will replace ClickHouse in Dash0's SignalStore.

Dash0 Acquires Berlin Startup Polar Signals to Strengthen AI Platform

German-American observability startup Dash0 has acquired Berlin-based Polar Signals, a startup specializing in continuous profiling. The companies announced the deal on Monday. Dash0 plans to integrate Polar Signals' profiling technology into its platform, allowing developers to trace CPU and memory consumption down to specific code lines. It is also building agentic features, including Agent0 and AutoTune, which enable AI agents to detect inefficiencies and prepare optimization pull requests. As part of the transaction, Dash0 will adopt Polar Signals' storage engine Great Lakes as the basis of its SignalStore, replacing ClickHouse. Dash0 was founded in 2023 by Mirko Novakovic, who previously built Instana and sold it to IBM in 2020. The company recently raised $110 million in Series B funding at a $1 billion valuation, achieving unicorn status. It counts more than 750 customers, including Zalando, Taco Bell, and The Telegraph.

• Dash0 acquired Berlin-based startup Polar Signals, announced around August 20, 2026.
• Polar Signals specializes in continuous profiling, which helps developers trace CPU and memory usage to specific code lines.
• Dash0 will use Polar Signals' Great Lakes storage engine as the basis for SignalStore, replacing ClickHouse.

See which projects drive your usage

A new chart shows your organization's units over time, grouped by project or type, with a CSV export. On Langfuse Cloud it is on the Billing page; self-hosted deployments get a new Usage page.

Langfuse CLI 1.0 and new evaluator features

Langfuse CLI 1.0 released, along with new evaluator template gallery and reusable evaluators for production evaluations.

Deploying Langfuse Open-Source LLM Observability

This technical guide explains how to deploy Langfuse, an open-source observability platform for LLM applications, using Docker Compose. The deployment uses PostgreSQL for metadata, ClickHouse for trace and metrics analytics, Redis for cache/queueing, and S3-compatible object storage for media/exports, with Traefik and Let's Encrypt providing TLS. The article includes required prerequisites (Linux server 4 vCPU / 16GB RAM, Docker + Docker Compose, domain A record), step-by-step environment and docker-compose configuration, first-run setup (create organization/project and API keys), and a test-trace example using the Langfuse SDK and an OpenAI-compatible client. Publication date: 2026-08-12.

• Langfuse is an open-source observability platform for LLM applications that traces prompts/responses, tracks token usage and cost, and provides debugging analytics.
• The guide deploys Langfuse via Docker Compose using Traefik (TLS), PostgreSQL (metadata), ClickHouse (trace/metrics analytics), Redis (cache/queue), and S3-compatible object storage.
• Container images and versions shown include traefik:v3.7.0, postgres:17, clickhouse/clickhouse-server:26.5.1-alpine, and redis:7-alpine; Langfuse images used are langfuse/langfuse:3 and langfuse/langfuse-worker:3.