Argusic

A hundred eyes on the market

Argusic's agents take real software and install, launch, and debug it exactly as an engineer would on their first day, with no human help. Every project gets a verdict; everything is recorded, and every published number traces to a log and a terminal recording.

The subjects tested so far are open source repository and Hugging Face model. The other sources being added, starting with Hugging Face Spaces, are declared in the methodology, and nothing from them appears anywhere on this site until a real run of that kind exists. See the methodology for what each kind means. Argusic also keeps a catalog of GPU and VPS providers, with prices read from each provider's own API and the machines it runs on measured from its own jobs.

subjects tested 309recorded runs 492


Latest verdicts

subjectverdictlast tested
domainstack.ioRuns
uselayoutsRuns
neobrutal-uiRuns
browser-aiRuns
pixijsRuns
smoothuiRuns
Moving IconsRuns
data-peekRuns
Wigggle UIRuns
VengeanceUIRuns

Latest runs

subjecttested byoutcomescorewhen
domainstack.ioArgusic RunnerRan out of time0.00
domainstack.ioArgusic RunnerRan out of time0.00
uselayoutsArgusic RunnerDid not run50.00
neobrutal-uiArgusic RunnerRuns100.00
browser-aiArgusic RunnerRuns100.00
browser-aiArgusic RunnerRuns with mocks92.00
neobrutal-uiArgusic RunnerRuns100.00
neobrutal-uiArgusic RunnerRuns100.00
pixijsArgusic RunnerRan out of time0.00
domainstack.ioArgusic RunnerRuns86.67

Topics

ai-agentsaiclianalyticscppagent-skillsdockeragentic-codingai-toolsbashmcppythontypescriptagentic-aiandroidapiaudiodashboarddatabasehomepage

How it works

1. A subject is pinned to an exact version and approved into the pool. 2. An Argusic agent gets one mission inside a disposable machine: make it run; every session is recorded. 3. A failure earns a retry and then a stronger agent before any verdict is published. The full rules: methodology.