Analysis of Tech Meetups in Bangalore
(22 Feb 2018)

  • In April 2017, these numbers were 543 and 364K. [IEDF 2017]

  • Not unique individuals: many are members of multiple groups.

  • The groups are not equally popular.

  • Just 36 groups contain more than a third of all members.

  • Three groups stand out in the domains of AI and IoT.

  • Popular (>6000) specific platforms/frameworks/languages include OpenStack, Docker, Python and Apache Spark.
  • 60% of all groups have < 500 members.

  • 75% of all groups have < 1000 members.

  • Only 2-3% of groups (exactly 17 groups) have > 5000 members.

  • 21% of all groups have < 100 members: (0.19+0.17)*59% = 21%

  • 34 groups meet at least twice a month. Only 5 of these are big groups.

  • Some big numbers are misleading: group is configured to auto-schedule meetups.

  • Big groups who don't meet often (small circles) suggest scope for new groups on similar topics.

  • Incredibly, 24% of groups have not met even once.

  • Only 12% are meeting at least once a month.

  • Any correlation between the group's age or number of events and its membership strength?

  • ML/AI and analytics are the most popular topics.

  • Cloud and Big Data are popular as well.
  • Among the popular languages are JavaScript and Python.

Analysis of Tech Meetups in Bangalore

By Arvind Padmanabhan

Analysis of Tech Meetups in Bangalore

Scope is limited to those listed in We have considered only those in "Tech" category.

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