I’m a tech entrepreneur passionate about business and social impact.

Originally Canadian, previously exited a company (online marketplace). Forbes 30 under 30 lister.

Done various initiatives since, such as distributing PPE to hospitals during COVID. LinkedIn profile here

I'm a big believe of automation

I believe automation can make life a lot easier, and also grow businesses much faster.

But rather than reinventing the wheel, the best automation leverages solutions that exist, and then builds on top of them to make them even better.

This is what this outreach system for the F and B industry is designed to do. It leverages various SaaS tools that are the best in their respective categories and joins them together to make them more than the sum of their parts.

This is one of many products I’m planning to roll-out.

I have a very alternate view of where the tech sector needs to head, and where the greatest opportunities are, both in terms of business and social impact, and I intend to now make this a reality.

If you’re interested in the more purely tech-speak stuff, see the section below.



I'm going to create a new industry called Super SaaS

In tech, there are so many buzzwords like AI, blockchain, Web3, no-code, etc.

But there is a much bigger industry that everyone is over looking, which I’m going to name Super SaaS

This is the connecting of various SaaS together using their APIs.

And yes, this is a new industry. Many companies have integrations, but I’ve now consulted for hundreds of companies (Start-up, Series A, B, C, D, enterprise, etc. in all industries) and I know for a fact that people are tapping into less than 1% of the potential out there.

It is now my job to make this an industry people talk about.

There are three fundamental axioms:

  1. There has been an almost absurd level of technological progress in the last 5 years, and it is accelerating at an exponential rate. The world is almost unrecognizable compared to 20 years ago. Most of these developments involvement breakthroughs in fundamental sciences (e.g. machine learning, blockchain, cloud technologies, etc.), which then get commercialized into companies.

    I posit that the greatest return to this phenomenon is not to find a new commercializing for AI, or find a use-case for blockchain, but rather to connect the dots and link together the winners of each commercialization category. For example, SaaS companies that enable no-code NLP can be linked with companies that reduce the complexity of databases, which can then be linked to companies enabling quicker API integrations.

    This is to stand on the shoulder of giants. 

  2. What is the purpose of linking these tools together?

    Every single B2B SaaS is created to solve a super niche business problem. This is the definition of a business that adds value. Logically, what must also be true is that the combination of these SaaS together allows the solving of higher-level problems.

    Instead of answering the question “how do I make databases more user-friendly and accessible to non-technical people”, the linkage of SaaS allows focus on the question like “how do I use user-friendly databases to make more money”?

    This is a higher-level problem that more closely approaches the definition of a business: get a product or service in the hands of people.

  3. There is a big misunderstanding of the no-code movement. The common belief is that “no-code” is easier, and makes technology more “accessible” to people who aren’t programmers. This is a mis framing of what’s actually happening.

    What is actually going on is that no-code allows you to solve higher-level problems. All code is is a set of logical conditions. Nothing more. No-code packages bundles of logical conditions together, which allows you to then link more aggregate bundles of logic together, removing the need to build from as ground-up of a position. So instead of the question being “how do we build this really intuitive interface”, more focus can be spent on the question of “how do we take this interface to the next level”?  

The conclusion of all this is one day, if someone has an idea or product, they will instantaneously be able to (1) find all the people most receptive to their idea (i.e. target markets), (2) execute the creation of the product/ service with minimal inputs (like capital or labour) required, and (3) understand in real-time how they are performing and make changes to their strategy in a Bayesian manner. 

This is to go from idea to reality in an instant.

If you could instantly make an idea or product a reality what would you do?