Finding Your Extraordinary.

My mentors advice: 

Design dictates function. Strive for an elegance that scales.

- This applies to your work style and output too. Are your presentations clear and impactful? Do you find efficient systems that help you as your responsibilities increase. Elegance here means finding ways to do things better, not just fancier. This helps you produce great work sustainably.

Ideas are easy. It's execution that matters.

- Focus on developing the organization, planning, and problem-solving skills needed to actually do the thing, not just dream about it.

Failure is a feature, not a bug. Those around you shape how you learn from it. 

-Notice how your managers and colleagues react to setbacks. Do they foster a safe environment to analyze what went wrong, or do they resort to blame games?

The path to the extraordinary is paved with relentless iteration. Each step, each refinement, reveals not just possibility, but inevitability.

- No one achieves greatness on the first try. It's those who are willing to revise, improve, and try again that stand out. This is about building a tolerance for the 'not quite good enough yet' stage. If you crumble after every less-than-perfect result, you'll never stick around long enough to see the "inevitable" part happen.

Seek collaborators who question everything, even their own beliefs. Those locked in echo chambers offer only stagnation.

- It's good to have cheerleaders, but surround yourself with people who will also be constructively critical. Helps you stay open-minded and prevent groupthink, where everyone blindly agrees and bad ideas go unchallenged.

Talent attracts talent. Seek those who make you uncomfortable – they'll make you better.

- Don't just stick with people who make you feel good. Find colleagues who excel in areas you're weaker in and learn from them. This discomfort isn't abuse, but the stretch of getting better. It might mean a coworker whose directness stings but helps you be less defensive.

People will tell you what they want you to hear. Observe their choices, the unspoken tells you the truth.

- This helps you see who's reliable, who is simply placating you, and who might be actively trying to hinder your progress.

Seek insight, not comfort. Listen hardest to those who challenge your assumptions.

- It's easy to stay in bubbles. Actively seek viewpoints that clash with your own (within reason!). This helps spot your own blind spots, avoiding the type of costly tunnel vision that derails projects.

Fear delusion, not disagreement. Those tethered to bias have abandoned critical thought. They won't build, they'll infect.

- This is about protecting yourself from those who refuse to change, even when presented with evidence. These people exist in every workplace. Learning to spot them early saves you time and emotional energy.

Don't just help others, empower them. Spark a cycle of creation that elevates everyone involved.

- Instead of always being the fixer, teach a colleague how to troubleshoot on their own. This builds strong teams where everyone feels capable, not just reliant on one person.

VCs follow the money. Make your story, your product, the inevitable future of your industry. They can either get on board or be left behind.

- This assumes a venture capital context, which may not apply to everyone. Think of it broader: have confidence in the value you're creating, whether it's for investors, your boss, or customers. Passion is contagious. If you don't truly believe in what you're doing, it'll be hard to convince others to get on board.


Winning products are stories we can't help but tell.

  1. They say winning products need imagination, execution, and teamwork. They're not wrong, but those felt like buzzwords to me until I built OriJournal.

Back in 2012, I just wanted a better way to share stories. My grandparents raised me on journaling – not the 'Dear Diary' kind, but recording moments that shaped us. Turns out, that need to express ourselves, to pass something down, is hardwired into us.

But most journaling apps didn't get it. They were bland, or all about productivity. I wanted the feeling of a worn, leather-bound book, a sense that your words mattered. So, OriJournal started with a crazy restriction: invite-only. I know, terrible marketing strategy, right? But I needed it to feel exclusive, almost sacred.

That first week… crickets. Then my cousin invited a few friends, suddenly I had downloads. It wasn't meteoric – 100, 1000… but then it hit 100,000. No ads, just people needing a place where their stories felt special.

      2. See the Need, Then Make Them Feel It

People don't always know what they want, but they feel the lack of it. We live in a world of 'good enough' products. It took me failing with my first two app ideas to realize that. Showing people what they didn't know they were missing – that's what makes them buy-in.

       3. Teams Win, But the Right Teams

To much leadership advice is toxic positivity. The reality? Building a product is messy. I've seen brilliant teams fail because the person in charge couldn't handle their ego. One mind, no matter how smart, can't create what a group aligned towards a shared vision can. Leaders, owning their weaknesses and letting the team fill the gaps – that's when the magic happens.

Fortress Data Sheet

Predictive algorithms are powerful but require exceptional quality data and unbiased development. Inspired by JPMorgan's strategy, my generalized "Fortress Data Sheet" approach involves:

  1. Prioritizing raw data by investing in processing power and reliable sources.
  2. Refining data into insights for accurate predictions.
  3. Using insights to deliver targeted value to investors and the company.
  4. Employing data evaluators to remove bias and validate findings.

The goal is establishing a steady data supply and a team to refine it into trustworthy insights. Investment will be required for execution.

Here's the strategy visualized:

AI moving forward.

Having an AI assistant to help me work feels incredible. I used to spend my time thinking about how to convey the right tone to feel professional yet personable at the same time. Combing over words with strained eyes to find mistakes is a pain, one that is now avoided thanks to my team of personal AI assistants. 

Each AI assistant has a role. Gemini is best for emotionally-intelligent writing. Claude has the greatest creativity. ChatGPT is most likely to be correct with math and coding. Experience-backed testing and prodding at the extremes of the AI's abilities is necessary after each update to see how the new model performs. 

Gemini likes to add sporadic spacing. Claude likes to talk about itself (when really not appropriate) with fervor. ChatGPT forgets its instructions after ten rounds. 

AI is limited by an entity who feed its data with new learning material. Raw data alone cannot teach an AI. Poor quality data is abundant throughout the internet and from public data. Exceptional Quality Data is paired with actionable advice coming from a structured, personalized review of an AI's performance drawn from raw data. 

Here's what it looks like with a real dataset.

To draw insights for this AI model performance, the 50 prompt and response sets are placed into one or more appropriate categories. 

The AI model can benefit from targeting the categories below the overall average rating line. 

Each AI response is given two ratings: a quality rating on a five-point scale and a comparative rating with an equivalent human-written response.

An AI is a developing mind, and a developing mind needs guidance. Personal education, experience, and guidance are the necessary methods for advancement.