DisruptHR Toronto’s Post

Last week at #STLTechWeek I shared 3 tenets for building modern algorithmic planning systems. The underlying principle here is that traditional monolithic systems no longer cut it. You need systems that scale but are also flexible to rapidly changing business conditions. Here they are: 1️⃣ Modular is king. Build each system to make one decision and do that very well. Tie systems together by giving them only the information needed to make that decision. 2️⃣ Build, don’t buy. Avoid getting locked into a vendor’s structure and playbook by building yourself. Owning the tech is what gives you flexibility to adapt your systems over time. You get to set the roadmap and the pace. 3️⃣ Crawl. Walk. Run. The words of the great Arthur Ashe apply here - Start where you are. Use what you have. Do what you can. What’s the MVP you can launch in the next quarter (or less) that starts to solve a pain point? One final thought - these tenets are geared more towards enterprise, but apply to orgs of all scope and sizes, even down to solopreneurs.

Business Leaders only care about the solutions technology solves for them Two years ago, I joined a team of developers for a hackathon. We created a product that was fantastic—it reduced a week-long process to just 10 minutes! Our pitch highlighted how this could save 52 bureaucratic weeks per year, automating them into just 520 minutes. This could eliminate significant production costs globally, potentially saving millions. We completed a working prototype and added one of the best developers to our team to enhance efficiency. On the day of the presentation, we were excited and confident. We took pictures, and the managers were thrilled. Unfortunately, this story doesn't have a happy ending, but it offers valuable lessons. Our pitch was filled with technical jargon that confused the judges. Although we qualified among the top 40 globally, we didn't make it to the top 3. The winning team clearly articulated the solution they were solving, itemized the global cost savings, and presented a beautiful working prototype. Even as competitors, we were impressed by their pitch. Lessons Learned: 1. Sell the solutions you want to solve. 2. Speak to the customer in terms of the pain points you wish to eliminate. 3. Itemize and quantify your results. 4. Be simple—engineers love complexity, but our clients don't. 5. Show genuine care for the customer; people open their pockets when their hearts are touched.

Deep tech founders, don’t be tempted by your largest market. Why? The product you build for your largest market likely has more risk than reward, Listen to this audiogram to learn the better route to early revenue and product success. ____ Learn more at mistywest.com

Turning bad tech into great tech isn’t just possible—it’s essential. The right tools can transform chaos into opportunity. Let's make the shift together #TechTransformation #BusinessInnovation #GoodTech #DigitalShift #TechSolutions #BusinessGrowth

I spent most of last week in SF at TechCrunch Disrupt. I met some great people and learned a lot at the fantastic panels. My biggest takeaway was a lesson that is crucial for all founders - remember why you are building and who you are building for. Your goal in creating software is to make people's lives easier, not introduce complexity. Ideally, your solution should be doing one or more of the following: 1) Making people money 2) Saving people money 3) Saving people time 4) Saving people effort If what you're building doesn't check one of those boxes, it might be time for a pivot.

Tried all of this when leading product at my previous startup and it was a huge success mainly because the VP of Eng and I were in cahoots most of the time. He would describe his problems, I would translate that into a story of why that was not his problem alone and put it on strategic roadmap right next to the most drool-worthy stories that the CEO and sales would come up with and then we would all get into a room for a few hours of prioritization on a level playing field. Carlo Latasa miss working with you. All engineering teams are not made equal but you really punched way above your weight for such a lean team. #productmanagement #engineeringmanagement #cohesiveteams

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Market price ≠ true value. 🚀
 Let's play a game... Think of a tech company everyone’s talking about. Now ask yourself, how much of its valuation is backed by generating profit (yes, because that’s what a company is, isn’t it?)—and how much is just hype?
 Imagine if you had a tool that could break it all down, revealing the company's actual worth. Curious? It’s coming. Drop your guesses below: What’s the one metric you think truly defines a company’s value?

Definitely, one of the keys to becoming a great company is a team that is involved in a common vision, passion, and motivation. With this in mind, I'm extremely happy to share that Hanna Back Pyo joined us at Falcondale. Welcome, Hanna, and speaking on behalf of our small but valuable team, we're excited to have you at the forefront of our outreach strategies and closing the gap between the quantum labs and the finance sector. If you want to know more about Hanna, you can read Falcondale's official post below. #quantum #qml #datascience #machinelearning #creditscoring

Heres an interesting video by Developers Alliance: https://lnkd.in/gN222ECc If you are looking for tips on creating a good pitch this is a good video. In the video he talks about focusing on the problem instead of the solution. Showing friction points is a good way to show how what you're selling is a good product. He also talks about telling a story for your idea. I think this is an excellent way to deliver a pitch but you need to make sure the story flows well and creates interest so others can share it. Its also important to keep it simple. I personally dislike when people start throwing around jargon. If you have a good idea, then you can explain it simply. I felt this video was a good starting point.