Agent Composer
Create your own AI rocket scientist agent
Details
- External ID
- 46785856
- Source
- HN
- Company
- —
- Product
- Agent Composer
- Website domain
- contextual.ai
- Launched
- Jan. 27, 2026
- Cohort
- —
- Upvotes
- 11
- Upvotes percentile
- 0.5335968379446641
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hey HN! We launched a thing today, and built a cool demo that I'm excited to share with the community.This tool creates AI agents easily and can handle some really technically complex work. I whipped up this rocket scientist agent in our tool in 10 minutes. I asked a couple of aerospace engineer friends what they thought, and they found it useful for their real work, which is why I want to share it here. Here's the demo https://demo.contextual.ai/ and an overview https://docs.contextual.ai/examples/rocket_scienceWould love to see technical HN folks and their experience with our tool (and whether it would be useful in your work). Happy to go deep on architecture, retrieval strategies, and lessons learned.
Enrichment
- Theme
- developer tools for AI agents
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- B2B
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- custom ai agent builder
- Manually corrected
- False
Could you build this?
Partial While an agentic UI workflow can be vibe coded, building reliable enterprise-grade root cause analysis agents over complex multi-domain telemetries (3GPP, hardware logs) requires proprietary ingestion pipelines and domain fine-tuning.
What it would actually take: The architecture requires robust document ingestion, custom parsing for legacy telemetry and logs (CPRI, HARQ, crash dumps), and specialized retrieval-augmented generation with verification guardrails. The hard part is achieving high accuracy and deterministic reasoning over noisy, dense binary/text traces without hallucinating root causes. It requires experienced ML systems engineers and domain specialists in telecom and hardware reliability.
Discussion
3 comments analyzed.
Concerns raised: Demos are too technical/specialized, hard to evaluate without domain expertise
Feature requests: More general/accessible demo beyond rocket science use case
Competitors
Other products that read as similar to this one — 417 launches clear the similarity bar, closest 8 shown.
Attention rank: #218 of 418 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 84 days after the earliest competitor.
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- The independent guide to agent orchestrators · hn · 2026-05-08 · 9 upvotes · similarity 0.48
- Plane Agents · ph · 2026-09-22 · 117 upvotes · similarity 0.47
- Marvin, your own AI-powered game studio · hn · 2025-12-04 · 7 upvotes · similarity 0.46
- Gambit, an open-source agent harness for building reliable AI agents · hn · 2026-01-16 · 91 upvotes · similarity 0.45
- Running AI agents across environments needs a proper solution · hn · 2026-03-24 · 8 upvotes · similarity 0.45
- Agentry · hn · 2025-12-09 · 10 upvotes · similarity 0.45
- We Built Kaggle for AI Agents · hn · 2026-03-19 · 7 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.