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The Unacademy Mafia: Seeding a Startup Generation

February 6, 2026February 6, 2026
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Sometimes, startup ecosystems don’t expand loudly. Instead, they expand quietly, through people. People who work at one high-intensity company learn how scale really works, understand hiring, product velocity, execution pressure, and then, over time, step out to build companies of their own.

That is exactly what has happened with Unacademy.

And when we map the data across 31 companies founded by Unacademy alumni, across incorporation dates, sectors, employee strength, founder education, and last reported valuations, a very clear, very measurable pattern emerges.


The 31 Companies Built by Unacademy Alumni

These are not side projects. These are registered companies, building across sectors, hiring teams, and raising capital.

The Unacademy Mafia includes:

Trade NameFoundersIncorporation Year
100xEngineersSiddhant Goswami, Zahed Khan2023
AirtribeDhaval Trivedi, Navneet Sharma2021
Apna CollegeAman Dhattarwal2022
Awshar AIAnkit Narang2023
BabyBillionDinesh Godara2022
Cozy BearSidak Saluja2024
CtruhVinay Agastya2022
DelightChatPreetam Nath2020
ELUNOAbhinav Agarwal2023
EmversityVivek Sinha2023
EntvinRishabh Arya2022
FitHeadTarun Kushwaha2024
FuturusHarshit Bansal2022
FynNiroop Janardhanan2013
Genius LabsAshin Jain2023
Graphia AIPratiksha Dake2024
IkkasaSunita Singh2024
InfinyteAnkita Tandon2022
IntuitEVJayanth Varanasi2024
KNOTArchit Nanda2022
LightFury GamesTina Balachandran, Karan Saroff2018
Newton SchoolNishant Chandra2018
Pulse EnergyAkhil JP2021
RevspotDarshan Subash2024
Skalix.AIAbhilasha Dwivedi, Abhilaksh Karthik Kailas2025
SnazzyAyush Pateria2020
StoxHeroManish Nair2023
SuperKalamVimal Singh Rathore2023
SuperleapSubham Boundia, Alok Maurya, Saurabh Maheshwari2021
VaraHRMrityunjay Saini2025
WeekdayAnubhav Malik2020

Note: This is not an exhaustive list
Seeing the names together makes one thing obvious:
This is a startup cluster, not a coincidence.


First, the Scale of What Has Already Been Built

From your dataset, 31 identified companies started by Unacademy alumni today collectively represent:

₹2,547.97 Crores in the last reported valuation

This is not Unacademy’s valuation. This is the combined valuation of companies created by people who once worked at Unacademy. Which means one company has indirectly seeded ₹2,500+ Cr of startup value into the ecosystem. And importantly, most of these companies are very young. Which means the real scale is still ahead.


Next, Look at the Founder Background. This Is Not Random Talent

When we map the alma mater of these founders, something striking appears.

~19.7% of founders come from Tier-1 institutes such as:

  • IITs
  • IIMs
  • ISB
  • MIT

At the same time, we also see founders from:

  • Dhirubhai Ambani University
  • VIT
  • Sikkim Manipal University
  • St. Joseph’s College
  • DIT University
  • MIET
  • GGSIPU
  • And many more

This tells us something extremely important. Unacademy did not just hire pedigree. It created founder capability across backgrounds. It became a place where execution experience mattered more than college tags, and that experience is now visible in the quality of companies being built.


Then, Observe the Sector Spread, This Is Not EdTech 2.0

If Unacademy alumni were only building EdTech startups, this would be predictable. But our sector split shows something very different.

These 31 companies are spread across:


Meanwhile, The Employee Strengths Tell a Serious Story

Analysis

  • These Unacademy Mafia startups together account for 944 employees as per EPFO (Aug 2025 wage month).
  • However, three companies alone, Emversity (336), Newton School (306), and Fyn (112), contribute 754 jobs, nearly 80% of the total.
  • Meanwhile, a visible cluster of companies sits in the 20–60 employee range (Weekday, Revspot, Superleap, Airtribe, LightFury), indicating active scaling.
  • Even the smallest firms (BabyBillion, Ctruh, SuperKalam) are already on payroll, indicating real operations, not idea-stage projects.
  • Several companies, including KNOT, Entvin, Genius Labs, Ikkasa, Infinyte, IntuitEV, Apna College, ELUNO, Cozy Bear, Pulse Energy, Skalix.AI, Snazzy, and StoxHero, show “No Payment Details”, suggesting early-stage or unreported EPFO data.

Now, The Incorporation Pattern Becomes Even More Interesting

When you map incorporation years from your sheet, a visible spike appears post-Unacademy’s hyper-growth phase.

During the period of 2023, there was a notable increase in the number of mafia companies launched. This is classic ecosystem behavior.

It happens when:

  1. Employees see the scale from the inside
  2. They understand what works and what breaks
  3. They gain confidence
  4. And then they start building

Therefore, A Pattern Is Impossible to Ignore

FactorWhat the Data Shows
Total companies mapped31
Combined valuation₹2,547.97 Cr
Tier-1 founder background~19.7%
Sector spread10+ sectors beyond EdTech
Employee strengthMany with 1 to 300+
Incorporation trendPost Unacademy scale 

This is not a coincidence.

This is what happens when a company becomes a founder training ground.


Finally, Why This Matters More Than It Seems

This analysis is not interesting because of nostalgia. It is powerful because of prediction.

If you can identify:

  • Which companies produce strong founders
  • Which alumni networks are building startups
  • Which early companies are gaining employee strength
  • Which ones are already valued in hundreds of crores

You can see the next wave of important startups before they become obvious. And that is an unfair advantage.


Conclusion

Unacademy did not just build an EdTech unicorn.

It built:

  • 31 companies
  • ₹2,547.97 Cr in startup value
  • Founders across 10+ sectors
  • A generation of operators turning into entrepreneurs

The Unacademy Mafia is no longer a concept. It is visible in the data. It is measurable in valuation, and it is expanding quietly across the Indian startup ecosystem.

PrivateCircle helps you spot patterns like the Unacademy Mafia early, by tracking founders, incorporations, sectors, employee strength, and valuations before the rest of the market notices.

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