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 sources97—120 shown
  1. 097
    Mastering Gen AI Applications with W&B — AmericasVideo · brighttalk.comSupports GenAI application development at Google Cloud Startup School
    Open source ↗
  2. 098
    D. Sculley: Technical Debt, Trade-offs, and KaggleWeb page · wandb.aiSupports Gradient Dissent transcripts and production
    Open source ↗
  3. 099
    Anish Shah — DataTalksClubProfile · datatalks.club
    Open source ↗
  4. 100
    Applying Ethical Principles & Scoring to Langchain & Visualizing with W&B PromptsWeb page · wandb.aiSupports Scoring LangChain outputs against ethical principles
    Open source ↗
  5. 101
    Bay Area AI + Ray Summit MeetupWeb page · eventbrite.comSupports Bay Area AI + Ray Summit meetup
    Open source ↗
  6. 102
    Evaluating and Integrating ML Models — ForemWeb page · core.forem.comSupports ML model evaluation and integration
    Open source ↗
  7. 103
    Architecting and Orchestrating AI AgentsWeb page · wandb.aiSupports Optimizing and evaluating agentic applications · Agent architecture and orchestration series
    Open source ↗
  8. 104
    Architecting Multi-Agent Workflows with Google Cloud and W&BWeb page · wandb.aiSupports Multi-agent workflow architecture with Google Cloud and W&B
    Open source ↗
  9. 105
    a-sh0ts — W&BProfile · wandb.ai
    Open source ↗
  10. 106
    Tend and Tune Your MARL Experiments with Ray and W&BVideo · youtube.comSupports Tracking MARL experiments with Ray and W&B
    Open source ↗
  11. 107
    L5Kit, Ray, and W&B Motion Prediction — JapaneseWeb page · wandb.aiSupports Scaling motion prediction with L5Kit, Ray, and W&B
    Open source ↗
  12. 108
    Understanding PII Detection GuardrailsWeb page · wandb.aiSupports Evaluating PII detection guardrails
    Open source ↗
  13. 109
    MLOps Sample Project: End to End Song RecommenderWeb page · fourthbrain.aiSupports End-to-end MLOps song recommender
    Open source ↗
  14. 110
    An Introduction To HuggingFace Transformers for NLPWeb page · wandb.aiSupports NLP workflows with Hugging Face Transformers
    Open source ↗
  15. 111
    Mastering Gen AI Applications with W&B — EMEA/APACWeb page · cloudonair.withgoogle.comSupports GenAI application development at Google Cloud Startup School
    Open source ↗
  16. 112
    D. Sculley: Technical Debt, Trade-offs, and KaggleVideo · youtube.comSupports Gradient Dissent transcripts and production
    Open source ↗
  17. 113
    How to Save a Classifier to Disk in Scikit-learnWeb page · wandb.aiSupports Saving and reloading scikit-learn classifiers
    Open source ↗
  18. 114
    LLM Agent Fine-Tuning: Enhancing Task Automation with W&B — S63088Web page · nvidia.comSupports Fine-tuning LLM agents for task automation
    Open source ↗
  19. 115
    AI Engineering: AgentsWeb page · wandb.aiSupports W&B AI curriculum: prompting, evaluation, and agents
    Open source ↗
  20. 116
    Anish Shah — LinkedInProfile · linkedin.com
    Open source ↗
  21. 117
    W&B / Community Event RecapWeb page · linkedin.com
    Open source ↗
  22. 118
    LangChain W&B integration #1357Code · github.comSupports W&B integrations for LangChain
    Open source ↗
  23. 119
    LLM Apps: EvaluationWeb page · linkedin.comSupports W&B AI curriculum: prompting, evaluation, and agents
    Open source ↗
  24. 120
    AI-Powered Healthcare & Drug DiscoveryWeb page · wandb.aiSupports AI applications in healthcare and drug discovery
    Open source ↗