AI Model Search Engine

Find the right AI model for your project in seconds.

Describe what you need in plain English and MEGAMIND ranks the best-fit models across a live inventory of 4002+ models, 347 normalized families, and 191,216 tensors.

4002+ Indexed local models
347 Live normalized families
~23ms Typical query time on MADDIE
Try the Live Search Read API Docs

How it works

MEGAMIND combines semantic matching, hardware fit scoring, family diversity, and inventory quality signals so you get recommendations that are actionable instead of a raw model dump.

1. Describe your use case Ask for code completion, text generation, embeddings, image generation, or a hardware-constrained shortlist.
2. Get ranked recommendations The API filters, scores, and diversifies results across the live MEGAMIND model inventory.
3. Download and run Each result includes the family, source, sizing hints, and a direct source link so you can move immediately.

API docs

POST /models/recommend

curl -X POST https://api.thataiguy.org/models/recommend \
  -H "Content-Type: application/json" \
  -d '{
    "description": "generate realistic images from text",
    "hardware": "apple-silicon",
    "top_k": 5
  }'

GET /models/families

curl https://api.thataiguy.org/models/families

GET /models/tasks

curl https://api.thataiguy.org/models/tasks
Full Documentation

Pricing

Free

$0

10 searches per day. Good for trying the API and validating results.

  • Basic recommendation response
  • Browser demo access
  • Community support only
Request Access

Basic

$9.99/mo

1000 searches per day with full recommendations, alternatives, and richer result metadata.

  • API key included
  • Full recommendation payload
  • Email provisioning by Joseph
Get API Key

Pro

$29.99/mo

Unlimited usage, batch workflows, and webhook notifications when new models match saved interests.

  • Unlimited recommendations
  • Batch and automation workflows
  • Priority support
Upgrade to Pro

About

Built by Joseph Anady. Powered by MEGAMIND AGI running on MADDIE, with live recommendation scoring over 4002+ inventoried models, 347 normalized families, and a federated research stack designed to help developers choose the right model faster.

Contact: joseph.w.anady@icloud.com