Model IntelligenceALPHA

LLMRadar

A local Electron model recommender for comparing local and cloud LLMs by capability, context, privacy, hardware fit and practical workflow suitability.

Discuss this product
THE PROBLEM

Why this product exists

Model selection is dominated by broad benchmarks and marketing. LLMRadar focuses on whether a model actually fits the user’s hardware, privacy needs and task.

CURRENT CAPABILITIES

What it can do

  • Read-only curated model recommendations
  • Local hardware and workload matching
  • Context, speed, privacy and provider comparison
  • Fallback recommendations when live data is unavailable
TYPICAL FLOW

How it is intended to work

  1. Describe the task and available hardware
  2. Apply privacy and provider constraints
  3. Compare suitable model options
  4. Use the recommendation as a routing decision, not an absolute score
HONEST MATURITY

Limits and unfinished work

  • Alpha 1 uses curated fallback data
  • Benchmark freshness and automated model ingestion need further work
  • Recommendations do not replace task-specific testing
AVAILABILITY

Alpha 1 shipped as a local read-only Electron application.

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