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Three reasons why DeepSeek’s new model matters8h◆Meta’s loss is Thinking Machines’ gain9h◆ComfyUI hits $500M valuation as creators seek more control over AI-generated media10h◆8 Gemini tips for organizing your space (and life)11h◆Google to invest up to $40B in Anthropic in cash and compute12h◆Apple’s new CEO, and why Elon Musk wants to buy Cursor for $60B12h◆How Project Maven taught the military to love AI13h◆Marked-up Mac minis flood eBay amid shortages driven by AI13h◆AirPods, Touch Bars, and the rest of Tim Cook’s legacy15h◆Tim Cook is stepping down. What happens to Apple now?16h◆Uber CTO Praveen Neppalli Naga joins stacked StrictlyVC SF lineup for April 30 event16h◆Nothing introduces an AI-powered dictation tool16h◆DeepSeek previews new AI model that ‘closes the gap’ with frontier models17h◆In another wild turn for AI chips, Meta signs deal for millions of Amazon AI CPUs18h◆Musk vs. Altman is here, and it’s going to get messy18h◆China’s DeepSeek previews new AI model a year after jolting US rivals20h◆Prestigious photo contest answers ‘what is a photo?’20h◆Who Defines "Best"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards1d◆Escaping the Agreement Trap: Defensibility Signals for Evaluating Rule-Governed AI1d◆DMAP: A Distribution Map for Text1d◆Three reasons why DeepSeek’s new model matters8h◆Meta’s loss is Thinking Machines’ gain9h◆ComfyUI hits $500M valuation as creators seek more control over AI-generated media10h◆8 Gemini tips for organizing your space (and life)11h◆Google to invest up to $40B in Anthropic in cash and compute12h◆Apple’s new CEO, and why Elon Musk wants to buy Cursor for $60B12h◆How Project Maven taught the military to love AI13h◆Marked-up Mac minis flood eBay amid shortages driven by AI13h◆AirPods, Touch Bars, and the rest of Tim Cook’s legacy15h◆Tim Cook is stepping down. What happens to Apple now?16h◆Uber CTO Praveen Neppalli Naga joins stacked StrictlyVC SF lineup for April 30 event16h◆Nothing introduces an AI-powered dictation tool16h◆DeepSeek previews new AI model that ‘closes the gap’ with frontier models17h◆In another wild turn for AI chips, Meta signs deal for millions of Amazon AI CPUs18h◆Musk vs. Altman is here, and it’s going to get messy18h◆China’s DeepSeek previews new AI model a year after jolting US rivals20h◆Prestigious photo contest answers ‘what is a photo?’20h◆Who Defines "Best"? Towards Interactive, User-Defined Evaluation of LLM Leaderboards1d◆Escaping the Agreement Trap: Defensibility Signals for Evaluating Rule-Governed AI1d◆DMAP: A Distribution Map for Text1d◆
DataBubble·

About

The AI model
landscape,
visualised.

Leaderboards show endless tables of numbers. DataBubble turns 300+ models into an interactive canvas — one glance and you see what's trending, what's rising, what's being used.

300+
Models tracked
5
Categories
6
Data sources
24/7
Auto-updates

What

One canvas for the whole AI race

DataBubble ingests data from HuggingFace, GitHub, and benchmark providers every few hours. Models are sized by download volume, coloured by trend direction, and grouped by category.

The result: LLMs, image models, audio models, embedding models — all on one screen. No login. No paywall. Open to everyone.

Alongside the chart, a live news feed aggregates the latest AI research and announcements so you have signal and context in one place.

Principles

01

Transparency

Model data as-is — downloads, benchmarks, trends — without spin. Every number is sourced.

02

Simplicity

Hundreds of models. One screen. Bubble size = impact. No tables, no noise.

03

Speed

Data ingested every few hours from HuggingFace, GitHub, and benchmark APIs automatically.

Credits

Built by gazouzi.com

Independent project. No VC. No team. Just curiosity about what's happening in AI and a need to see it clearly.

@marouanegazouzi·databubble.co
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