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Comparison

LLM Status vs LoomStack

A factual side by side of two tools in Hosting & Devtools. Figures come from each product’s own site.

LLM Status

Listed

Track where every AI model is used across your apps, and get warned before one is deprecated or retired.

LoomStack

Listed

AI accelerates engineering. Coordination breaks down at scale. LoomStack orchestrates agents, context, and governance from signal to production.

LLM Status compared with LoomStack
 LLM StatusLoomStack
CategoryHosting & DevtoolsHosting & Devtools
Pricing modelFreemiumNot disclosed
Starting priceNot disclosedNot disclosed
Free tierYesNo
PlatformsNot disclosedNot disclosed
Techavy scoreNot rated yetNot rated yet

About LLM Status

Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.

About LoomStack

AI accelerates engineering. Coordination breaks down at scale. LoomStack orchestrates agents, context, and governance from signal to production. Engineering teams spend months manually stitching an AI-native SDLC that actually works. We take that over and build it for you, aligned to your people, processes, and policies, so your engineers can focus on what matters. It writes code fine, but shipping production code is seven or eight jobs. It's tough keeping up with just a single LLM given how fast it can churn things out.

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