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- the ONE change that made me a 37.8x better human this year
the ONE change that made me a 37.8x better human this year
A deep dive into the power of tiny habits, why our brains love to lie to us, and three workouts to challenge yourself this weekend.
Take your forefinger and thumb and make a pinch with both hands 🤌
Now, grasp your eyeballs to prevent them from rolling at this cliché business advice:
If you improve 1% each day, you don't get 365% better by the end of the year—you get 37.8x better (3,778%!) due to compounding returns.
Unfortunately, this advice has become the "live, laugh, love" of business wisdom—because it's true.
Most of our accomplishments in life come from consistent INPUT, not output.
We fail to compound success because of artificial ceilings we set for ourselves.
Someone recently asked me how I stay in shape. The answer is boring: consistency.
For the past 4 months, I've averaged:
15 workouts a month (4/week)
19 mobility routines a month (5/week)
17 pieces of marketing content a month (4/week)
I eat (basically) the same meals every week
My average happiness score (out of 10) has been an 8
I have written a daily journal 100% of days this year (135 days)
Yes, like some Patrick Bateman-esque psycho, I've meticulously tracked my personal KPIs every single day this year without fail—even while traveling, even when sick, even on my worst days.
I can't overstate how important this has been to daily self-improvement—because now I have a nightly accountability coach.
Many nights, I'm about to write in my journal when I realize, "damn, I haven't done my daily mobility routine yet"—which takes less than 10 minutes. What do I do? I get it done just so I can check that box in my journal. Sometimes I'll even squeeze in a quick at-home workout too (if you're looking for killer at-home workouts - here's 6 of them)
There's a saying that if data isn't visible, it doesn't exist. My experience proves this true. Until I started recording it, I thought I was crushing my workout goal (5-6 times per week)—turns out I have work to do. For better or worse, our minds love playing tricks on us and soothing our poor performance.
This is all a long way of saying: keep a daily journal.
It doesn't need to be all soft and gooey about your feelings. You don't need a pink notebook with a lock and a peacock-feather pen.
It can be one page with a few things you want to work on this year (maybe those New Year's resolutions you never got around to). Each week, tally the totals and put them into a spreadsheet.
Start this habit today and watch your own compounding returns kick in. You might just find yourself 37.8x better by this time next year.
idea of the week
problem: Small law firms struggle to handle routine client inquiries efficiently, leading to wasted time and frustrated clients.
idea: AI-powered legal assistant platform specifically for small law firms that handles routine client communications, appointment scheduling, and basic document preparation. The system learns from each firm's specific practices and communication style.
how it makes money: $299/month per firm with additional charges for document processing volume. Premium tier at $499/month includes custom AI training and white-labeling.
why it might fail: Legal firms may be hesitant to trust AI with sensitive client communications. Complex regulatory compliance requirements could slow adoption.
workout of the week
Three different workouts to challenge yourself this weekend:
at-home workout:
Complete 5 rounds:
20 jump squats
15 decline push-ups (feet elevated)
30 Russian twists
40-second hollow hold
Rest 90 seconds between rounds
gym workout:
5x5 bench press
4x10 dumbbell lunges (each leg)
3x12 lat pulldowns
Finisher: 3 rounds of 30-second battle rope waves
outdoor workout:
Complete 4 rounds:
Run 300m
20 step-ups (each leg)
15 dive bomber push-ups
30 mountain climbers (total)
Rest 2 minutes between rounds
tweet of the week
Most people think AI is overrated, but this is usually due to their inability to use AI to its full potential. The biggest mistake? Poor prompts. Below is a deep dive resource on how to get the most out of AI models:
Google published a 69-page whitepaper on Prompt Engineering and its best practices, a must-read if you are using LLMs in production:
> zero-shot, one-shot, few-shot
> system prompting
> chain-of-thought (CoT)
> ReAct
> code prompting
> best practices— ℏεsam (@Hesamation)
6:33 PM • Apr 9, 2025
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