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Vatsal Kanakiya

Investing the first cheque through iSAFE notes @ 100X.VC

Mumbai, Maharashtra

Invests in

Stages:

Locations:

  • Min Investment:

    $35,000.00
  • Max Investment:

    $35,000.00
  • Target Investment:

    $35,000.00

Work Experience

2019

  • Chief Executive Officer

    2023

  • Principal & CTO

    2019 - 2023

    100X.VC is the first VC to invest in early stage startups using India SAFE Notes. We look at being the first institutional investors in startups using below criteria to fund them. 1. Founding Team 2. Market Size Opportunity 3. Business Model Strength 4. Unfair Advantage, Moat 5. Conviction of a minimum 20X returns. Best way to reach me is by mail at vatsal@100x.vc We are a SEBI Registered Investment Adviser and CAT I AIF.

  • Partner

    2018

    I handle sourcing and evaluation of deals for my family to invest in. I am looking for fortitudinous entrepreneurs with multidisciplinary moonshot ideas.

2022

  • Angel Investor

    2022

  • Investor

    2019

    Heart Aerospace will deliver the first electric airliner certified for commercial flight by 2025

  • Investor

    2019

    Toybox is the first easy-to-use, one-touch 3D printer for kids to design and print their own toys.

2022 - 2023

  • Venture Partner

    2022 - 2023

    Diligencing and sourcing Web3 deals for 2AM VC

  • Deal Sourcing and Due Diligence

    2018 - 2018

    My role involved discovering and evaluating startup deals from a technology perspective for a showcase to member investors.

2018 - 2018

  • Deal Sourcing and Due Diligence

    2018 - 2018

    Participant in the Future Angels Bootcamp, a comprehensive program to learn about the investing process end to end. Sourced close to 100 deals over the period.

  • Guest Lecturer

    2018 - 2018

    Gave a guest lecture on Reinforcement Learning and its applications to students of M. Tech. (CE) at K. J. Somaiya College of Engineering

2017 - 2017

  • Technology Intern Analyst

    2017 - 2017

    Summer Intern at the Prime Brokerage, Finance and Funding Technology department. Brought drastic improvement in memory consumption of an internal financial data visualization and manipulation tool by designing and implementing an algorithm to store and retrieve data to and from a relational database in a paginated fashion.