mirror of
https://github.com/hanzo-apps/hanzo.ai.git
synced 2026-10-29 07:20:43 +00:00
zeekay
62d83aa595
The site paints in white, #a1a1aa and black. The deck was painting in warm orange for our numbers and cool blue for the field's, which is a palette this company does not have. The distinction the numbers need survives without it: what we measured is white, solid and half a weight heavier; what the field published is grey, hollow and light. Bars, squares, tiles, pills, ledger and tables all follow that one rule, so a reader learns it once on slide five and carries it to the appendix. Colour now appears exactly once, on marks that belong to other people — the labs we route to, the places we deploy — each in its own brand's hex, out of one dictionary that holds artwork and colour together. Where a lab's own mark is black, it is white here, which is what those labs do on a dark ground themselves. The faces come from @hanzo/font, the package where they are authored; the deck had been carrying @hanzo/design's copy of that package's output, one build behind. Declared as that package declares them, with the site's fallback tails and Hanzo's voice — ss01, the single-storey a. Three slides also stopped being sparse and started being evidence. The models slide is a wall of twelve labs ranked by how many of each we carry, counted off the pricing catalog at sync rather than remembered — which caught the deck saying 541 models where the site says 536. The score slide grew the price column its own headline promises: Enso Ultra at 98.0 for $25 against GPT-5.2 Pro at 93.2 for $168. The credibility slide says NVIDIA Inception and Techstars with their marks, and names the five clouds we deploy to with theirs.
76 lines
1.2 KiB
JSON
76 lines
1.2 KiB
JSON
{
|
|
"labs": [
|
|
{
|
|
"mark": "openai",
|
|
"name": "OpenAI",
|
|
"models": 60
|
|
},
|
|
{
|
|
"mark": "huggingface",
|
|
"name": "Hugging Face",
|
|
"models": 57
|
|
},
|
|
{
|
|
"mark": "qwen",
|
|
"name": "Qwen",
|
|
"models": 49
|
|
},
|
|
{
|
|
"mark": "google",
|
|
"name": "Google",
|
|
"models": 30
|
|
},
|
|
{
|
|
"mark": "mistral",
|
|
"name": "Mistral",
|
|
"models": 18
|
|
},
|
|
{
|
|
"mark": "anthropic",
|
|
"name": "Anthropic",
|
|
"models": 17
|
|
},
|
|
{
|
|
"mark": "deepseek",
|
|
"name": "DeepSeek",
|
|
"models": 12
|
|
},
|
|
{
|
|
"mark": "nvidia",
|
|
"name": "NVIDIA",
|
|
"models": 10
|
|
},
|
|
{
|
|
"mark": "meta",
|
|
"name": "Meta",
|
|
"models": 8
|
|
},
|
|
{
|
|
"mark": "perplexity",
|
|
"name": "Perplexity",
|
|
"models": 5
|
|
},
|
|
{
|
|
"mark": "aws",
|
|
"name": "Amazon",
|
|
"models": 5
|
|
},
|
|
{
|
|
"mark": "xai",
|
|
"name": "xAI",
|
|
"models": 5
|
|
}
|
|
],
|
|
"models": 536,
|
|
"free": 74,
|
|
"providers": 57,
|
|
"price": {
|
|
"Enso Ultra": 25,
|
|
"Enso Pro": 20,
|
|
"Enso Flash": 4,
|
|
"Gemini 3.1 Pro": 12,
|
|
"GPT-5.5": 30,
|
|
"GPT-5.2 Pro": 168
|
|
}
|
|
}
|