Evidence

What the numbers mean.

Each claim keeps its source, date, attribution, and limit.

11 public measures · updated July 30, 2026

Numbers

11 claims, each with its limit.

Learning reach

Enrollment and launch measures for three AI courses.

About half

of course enrollments accompanied a W&B account created the same day

An observed same-day association, not a causal conversion claim.

Scope
work
Attribution
direct
Period
2024–2026 · as of 2026-07-30
Source
Internal analytics
SourcesInternal analytics — rounded public summary
1K+

Evals-course signups in roughly 36 hours

Rounded down from the internal launch checkpoint.

Scope
work
Attribution
direct
Period
~36 hours · as of 2025-01-10
Source
Internal analytics
SourcesInternal analytics — rounded public summary

Product adoption

Rounded usage measures for the W&B MCP Server.

200K+

MCP tool calls through July 29, 2026

Rounded down from the July 29 internal analytics checkpoint; direct project usage, not revenue.

Scope
work
Attribution
direct
Period
Through July 29, 2026 · as of 2026-07-29
Source
Internal analytics
SourcesInternal analytics — rounded public summary
More than two-thirds

of weekly active MCP users were returning users

Weekly active-user composition at the cited checkpoint.

Scope
work
Attribution
direct
Period
Week of 2026-06-07 · as of 2026-06-11
Source
Internal analytics
SourcesInternal analytics — rounded public summary
Hundreds

of MCP users re-engaged in a week

Rounded weekly re-engagement checkpoint.

Scope
work
Attribution
direct
Period
Week of 2026-07-20 · as of 2026-07-28
Source
Internal analytics
SourcesInternal analytics — rounded public summary

Program impact

Reach and supported-pipeline measures for public programs.

$4M+

in supported event pipeline across tracked 2024–2025 programs

Supported pipeline across tracked event programs; not revenue, closed ARR, or personal attribution.

Scope
portfolio
Attribution
associated
Period
2024–2025 · as of 2025-10-01
Source
Internal analytics
SourcesInternal analytics — rounded public summary

Archive reach

Counts derived from published project records.

49

dated public event and session references

Unique inventory rows; recordings and mirrors are counted separately.

Scope
collection
Attribution
contextual
Period
2021–2026 · as of 2026-07-30
Source
Public footprint inventory
SourcesPublic footprint counting methodology
19+

hours of public talks and interviews

Derived from 23 unique recording durations; mirrors and excerpts are excluded.

Scope
collection
Attribution
contextual
Period
2021–2026 · as of 2026-07-30
Source
Public footprint inventory
SourcesPublic footprint counting methodology

Method

Three rules.

184 source records support 82 projects and series. Related records remain searchable without being counted twice.

  1. 01

    Count each project once

    Recordings, translations, mirrors, profiles, excerpts, and source pages do not inflate the total.

  2. 02

    Separate contribution from causality

    Individual contribution, program reach, supported pipeline, and organization outcomes remain separate.

  3. 03

    Keep the limit beside the claim

    Each derived measure keeps its period, source, attribution, rounding, and caveat.

Sources

198 sources.

198 sources121—144 shown
  1. 121
    Building and Evaluating Agents — Class CentralWeb page · classcentral.comSupports Agent development with evaluation in the loop
    Open source ↗
  2. 122
    Automated Medical Note Generation: Fine-Tuning GPT Models for Clinical Documentation Using Azure OpenAI and Weights & BiasesWeb page · wandb.aiSupports Clinical-note generation with fine-tuned GPT models
    Open source ↗
  3. 123
    Google Cloud generative-ai #1807Code · github.comSupports W&B support for Google Cloud Generative AI
    Open source ↗
  4. 124
    Agents course #2Code · github.comSupports W&B AI curriculum: prompting, evaluation, and agents
    Open source ↗
  5. 125
    EvalForgeCode · github.comSupports EvalForge: generating aligned evaluation criteria
    Open source ↗
  6. 126
    Jehan Wickramasuriya: AI in High-Stress ScenariosVideo · youtube.comSupports Gradient Dissent transcripts and production
    Open source ↗
  7. 127
    Understanding LLM Performance With W&B and Snowpark Container ServicesVideo · youtube.comSupports Understanding LLM performance with W&B and Snowpark
    Open source ↗
  8. 128
    wandb/skillsCode · github.comSupports W&B Skills repository
    Open source ↗
  9. 129
    How to Build AI Agents with MCP and Other ProtocolsWeb page · wandb.aiSupports Agent-system design with MCP and related protocols
    Open source ↗
  10. 130
    Accelerate GenAI Application Development with W&B Weave and NVIDIA — EXS74222Web page · wandb.aiSupports GenAI application development with Weave and NVIDIA
    Open source ↗
  11. 131
    Automated PDF Summarization with Claude 3.5 Sonnet and W&B Weave — KoreanWeb page · wandb.aiSupports arXiv paper summarization with Claude and Weave
    Open source ↗
  12. 132
    W&B Weave arXiv cookbook #2089Code · github.comSupports arXiv paper summarization with Claude and Weave
    Open source ↗
  13. 133
    LangChain v0.0.274 Release NotesCode · github.comSupports W&B integrations for LangChain
    Open source ↗
  14. 134
    Large Language Models AgentsWeb page · luma.comSupports Large language model agents
    Open source ↗
  15. 135
    Scaling Out Motion Prediction for Autonomous Vehicles with L5Kit, Ray, and W&BWeb page · wandb.aiSupports Scaling motion prediction with L5Kit, Ray, and W&B
    Open source ↗
  16. 136
    Diffusers W&B integration #1245Code · github.comSupports W&B experiment tracking in Hugging Face Diffusers
    Open source ↗
  17. 137
    OpenAI Python v1 Migration DiscussionCode · github.com
    Open source ↗
  18. 138
    How Do We Actually Evaluate LLM Apps?Web page · nyc.aitinkerers.orgSupports Practical evaluation for LLM applications
    Open source ↗
  19. 139
    Seattle AI Innovators Meetup Attendee RecapWeb page · linkedin.com
    Open source ↗
  20. 140
    Compare Methods for Converting and Optimizing HuggingFace Models for DeploymentWeb page · wandb.aiSupports Hugging Face model conversion for deployment
    Open source ↗
  21. 141
    NeMo-Vertex-W-B-PTuning-LLMCode · github.comSupports Question-answering adaptation with NVIDIA NeMo
    Open source ↗
  22. 142
    How to Adapt your LLM for Question Answering with Prompt-Tuning using NVIDIA NeMo and Weights & BiasesWeb page · wandb.aiSupports Question-answering adaptation with NVIDIA NeMo
    Open source ↗
  23. 143
    LLM Agent Fine-Tuning — Bilibili Subtitle MirrorWeb page · bilibili.comSupports Fine-tuning LLM agents for task automation
    Open source ↗
  24. 144
    snowflake-arctic-weave-demoCode · github.comSupports PubMed RAG with Snowflake Arctic and Weave
    Open source ↗