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.