Here's how GAGB.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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GAGB . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Gagb.github.io Make Money
  6. Keywords
  7. Topics
  8. Social Networks
  9. External Links
  10. Libraries
  11. CDN Services

We are analyzing https://gagb.github.io/.

Title:
Homepage of Gagan Bansal
Description:
Gagan Bansal, a researcher at Microsoft Redmond, works on Human-AI Interaction, Machine Learning, and HCI. He holds a PhD from the University of Washington and IIT Delhi.
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Education
  • Careers
  • Science

Content Management System {📝}

What CMS is gagb.github.io built with?

Custom-built

No common CMS systems were detected on Gagb.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of gagb.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 91 visitors per month in the current month.

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How Does Gagb.github.io Make Money? {💸}

The income method remains a mystery to us.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Gagb.github.io could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

coadvised, summer, microsoft, research, adam, eric, fourney, autumn, interaction, dan, weld, horvitz, humanai, students, gagan, bansal, researcher, scholar, interactions, models, language, autogen, multiagent, part, prior, joining, phd, computer, science, select, publications, stanford, cmu, jenn, vera, jonathan, bragg, senior, email, twitter, linkedin, profile, google, semantic, github, bio, hehim, redmond, conducts, interdisciplinary,

Topics {✒️}

developing multi-agent applications popular low-code interface authoring multi-agent workflows human-ai experiences team enabling human-ai interactions natural language processing microsoft omar shaikh augment human performance conducts interdisciplinary research research broadly focuses llm-based agents played key roles open-source framework checkout select projects human-ai interaction jenn worthman vaughan uw cindy su human-computer interaction select publications students microsoft research generative ai ai frontiers research internships computer science artificial intelligence involves evaluating joining msr dan weld besmira nushi ece kamar eric horvitz iit delhi grace proebsting haverford college enhao zhang eric zhu shannon shen martin josifoski valerie chen helena vasconcelos hussein mozannar ben lee prithvi tarale joyce zhou jacob sippy lynsey liu jonathan bragg ziyao huang diana iftimie adam fourney

Libraries {📚}

  • Bootstrap

CDN Services {📦}

  • Cloudflare
  • Jsdelivr

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