Nicheloom visits: 58,301 all-time · 7,637 in the last 7 days

The opportunity tracker for new startups.

Today: 1,008 launches · Niche of the day: specialized calculation tools · See what launched today →

OpenObserve

AI-native, open-source Datadog alternative

Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.

Want to reach these readers? Sponsor an issue.

Fast, scalable and cost-effective open-source observability platform. Monitor logs, metrics & traces with 140x lower storage costs than ElasticSearch. Start in 2 minutes.

PH · launched Mar 18, 2026 · 304 upvotes (top 40%) · 0 views

Niche: software observability platforms · 90 launches, 1 in the last 7 days ▼ -88% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI feature
  • Commercial product
  • Open Source
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

No OpenObserve is an enterprise-scale, high-performance columnar database and streaming observability engine written in Rust to compete directly with Elasticsearch and Datadog.

What it would actually take: Building this requires deep systems and database engineering: writing a custom columnar storage engine on object storage (S3) leveraging Apache Arrow and DataFusion, handling massive real-time ingestion (tens of gigabytes per second), full-text inverted indexing, and distributed query execution in Rust. It requires elite systems programming and distributed database internals knowledge.

Competitors

Other products that read as similar to this one : 147 launches clear the similarity bar, closest 8 shown.

Attention rank: #70 of 148 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 137 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.