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AI Observability by OpenObserve

OpenTelemetry-native observability for agents and LLMs

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Your agent cost $40 and took 34 seconds. But why? OpenObserve traces every agent session across models, tools, services, datastores, and user sessions so you can see exactly where time, money, and quality went. Detect loops, run online evals, and follow failures from the LLM call through your backend and database, alongside the logs, traces, and metrics from the rest of your production stack.

PH · launched Sep 10, 2026 · 304 upvotes (top 1%) · 0 views

Niche: ai agent observability platforms · 220 launches, 5 in the last 7 days ▼ -64% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • Tech

Visit website ↗ Source listing ↗

Could you build this?

No OpenObserve is an enterprise-scale, distributed telemetry and search engine built in Rust to ingest and process massive volumes of logs, metrics, and traces at high performance, which cannot be vibe-coded.

What it would actually take: Built in Rust using Apache Arrow, DataFusion, and object storage (S3/GCS) with custom column-oriented indexing, OpenTelemetry protocol parsers, and distributed query engines. The core difficulty lies in low-level memory management, distributed consensus, sub-second OLAP query planning, and petabyte-scale stream ingestion. Requires world-class distributed systems engineers and database architects.

Competitors

Other products that read as similar to this one : 279 launches clear the similarity bar, closest 8 shown.

Attention rank: #4 of 280 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

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