Pitch me a product that solves an issue, not a know-how stack
Once I started investing in startups, it appeared that each pitch was an organization constructing synthetic intelligence for one thing or one other.
AI for software program testing. AI for optimizing promoting spend. AI for chemical evaluation. AI for monitoring toenail fungus.
Then got here blockchain. Immediately, each startup was pitching blockchain for this or that. Blockchain for distributed software program testing. Blockchain for monitoring promoting spend. Blockchain for hazardous chemical substances monitoring. Blockchain for monitoring toenail fungus.
Whereas listening to the pitches, my eyes glazed over. I began checking e mail or Twitter. There was nothing mistaken with the pitches, however I wasn’t .
What have I acquired in opposition to AI and blockchain? Nothing. They’re great applied sciences. World-changing applied sciences. However they’re applied sciences, not merchandise.
Let’s begin with AI or machine studying (ML), to be extra particular. At its chilly robotic coronary heart, machine studying is just a programming approach. Conventional programming makes use of heuristics to find out the plan of action. i.e., should you’ve rated comedy motion pictures extremely and if this can be a well-liked comedy film, then advocate it.
Then machine studying got here alongside and simplified the method. No extra determining advanced heuristics. As an alternative, throw all the information on the machines and allow them to work out what you want by sample matching your information with hundreds of thousands of others.
Generally machine studying is a solution to clear up an issue that will be inconceivable with heuristics. Generally it’s simply lazy programming to keep away from the work of determining methods to clear up the issue your self.
However whether or not your product makes use of machine studying or heuristics or lava lamps doesn’t matter. As an investor, I don’t care the way you’ve constructed the product. What I care about is the product itself and whether or not it solves an actual want.
Whether or not you utilize machine studying or advanced heuristics is not any totally different than whether or not the entrance finish is coded in angular or react, whether or not the again finish is java or python and even cobol. Every has distinctive capabilities and limitations that make it a good selection for what you’re constructing. Or not.
Equally, when you get previous the hype and the cryptocurrencies and the scams, blockchain is nothing however a distributed database. A conventional database requires a government like a financial institution to be accountable for the veracity and integrity of the information. A distributed database offers a solution to construct and preserve a database and not using a trusted central authority.
Blockchain is an incredible know-how. There are in all probability many issues that may be solved with a decentralized database which might be troublesome to resolve with a standard database. (Although I’ve but to see greater than a handful the place blockchain solved an actual downside that couldn’t be solved easier and cheaper utilizing a standard database.)
As with machine studying, blockchain is just a programming approach. As an investor, I don’t care whether or not you’re utilizing a distributed database or a centralized database. I care about the issue being solved, whether or not it really works, and whether or not customers want it.
Does this imply I received’t put money into your machine studying startup? Not all. I’ve invested in a number of machine studying merchandise and even helped construct one myself. However machine studying isn’t the pitch. It isn’t the product. It’s a element of how the product works.
Should you’re utilizing machine studying or blockchain, you will have a wonderful product that I’d be excited about. You simply should pitch it proper.
“Software program testing is a $40B business, and extremely inefficient. Giant enterprises run 1000’s of assessments for each launch, not as a result of they’re wanted, however as a result of there’s no solution to know which assessments are wanted and which aren’t. By discovering and working the related assessments, our clients are slicing testing prices by 95% and releasing software program in a fraction of the time.”
That’s an fascinating pitch. It doesn’t point out machine studying although that’s the way it works.
“We’ve developed the infrastructure to share in-game items between totally different video video games. The founders led the in-game items shops at Activision and Digital Arts. We’ve 1000’s of customers already and revenues are rising 50% every month.”
One other thrilling pitch. Nary a phrase about blockchain.
There’s a place for a dialogue of AI/ML or blockchain within the pitch. It’s in a quite simple “The way it Works” slide that explains the fundamentals of the product operation.
If I had been particularly a crypto investor, I’d in all probability discover a pitch for blockchain for online game items thrilling. If I managed an AI fund, I’d be very receptive to a pitch for machine studying for fetal heartbeat monitoring.
However I’m not. Outdoors of vitality sustainability, I’m a sector agnostic investor in search of fascinating startups. In different phrases, I don’t know something about your know-how, and it doesn’t matter as long as you will have a killer product that may develop like loopy and get acquired for an insane valuation.
After we get to the due diligence course of, I’ll have consultants assist me drill down into the complete know-how stack. However that’s later, not your 10-minute pitch that has to get buyers like me excited.
So inform me about your superb product, your unbelievable crew, the massive market ripe for disruption, and the unbelievable traction you’ve achieved, and depart the main points of the way it works for later.