Progress AI Observability
Trace, evaluate, and improve AI agents in production
Details
- External ID
- 1215770
- Source
- PH
- Company
- —
- Product
- Progress AI Observability
- Website domain
- producthunt.com
- Launched
- Aug. 7, 2026
- Cohort
- —
- Upvotes
- 168
- Upvotes percentile
- 0.12640449438202248
- Tags
- SaaS, Software Engineering, Artificial Intelligence
- Fetched at
- Sept. 7, 2026, 1:23 a.m.
- Updated at
- Sept. 7, 2026, 1:23 a.m.
Description
Debug and monitor AI agent failures in minutes. Trace every run, catch hallucinations and ungrounded answers that traditional monitoring misses, and see exactly what went wrong. Reduce token waste, improve agent quality, and ship faster with support forNET, Python, and JavaScript.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- tracing and evaluation for ai agents
- Manually corrected
- False
Could you build this?
Partial Creating the basic dashboard and SDK wrapper around LLM calls is accessible, but building high-throughput OpenTelemetry ingestion, deterministic automated evaluation for agent reasoning, and real-time hallucination detection requires specialized backend and ML evaluation pipelines.
What it would actually take: Requires a scalable distributed time-series and trace backend (e.g., ClickHouse, OpenTelemetry collector) capable of handling millions of spans per minute with minimal latency overhead on user applications. The evaluation engine needs specialized RAG/agent groundness classifiers, token drift analytics, and fine-tuned lightweight judge models to grade agent execution steps reliably without adding prohibitive token latency/cost.
Competitors
Other products that read as similar to this one — 435 launches clear the similarity bar, closest 8 shown.
Attention rank: #377 of 436 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 276 days after the earliest competitor.
- AgentX · ph · 2026-06-22 · 523 upvotes · similarity 0.55
- Mirrors · hn · 2026-07-02 · 8 upvotes · similarity 0.52
- Laminar – Understand why your agent failed. Iterate fast to fix it. · yc · 2026-03-09 · 5 upvotes · similarity 0.51
- Decipher AI: Agentic QA for the era of coding agents · yc · 2026-01-28 · 13 upvotes · similarity 0.50
- AgentSight · hn · 2026-08-21 · 17 upvotes · similarity 0.49
- Inficy · ph · 2026-09-21 · 1 upvotes · similarity 0.49
- Buildbox: Agent analytics for real user outcomes · yc · 2026-08-03 · 10 upvotes · similarity 0.48
- Agnost AI · ph · 2026-08-25 · 289 upvotes · similarity 0.48
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.