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AgentWatch

Prevent runaway AI agents with runtime budget enforcement

Details

External ID
48706317
Source
HN
Company
—
Product
AgentWatch
Website domain
agent-watch.dev
Launched
June 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.42008196721311475
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
runtime budget enforcement for ai agents
Manually corrected
False

Could you build this?

Yes AgentWatch is essentially a lightweight reverse proxy sitting in front of LLM APIs that inspects payloads, tracks token/dollar budgets, and halts execution upon loop or budget breaches.

Discussion

5 comments analyzed.

Competitors mentioned: API gateways

Concerns raised: Unclear target audience (enterprises vs individual developers), Data privacy - storing prompts/responses, Redundancy with existing API gateways, Architectural justification over in-app middleware

Competitors

Other products that read as similar to this one — 368 launches clear the similarity bar, closest 8 shown.

Attention rank: #220 of 369 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 240 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.