Pep AI just hit a huge milestone and it’s completely changed my life.
A few months ago I was struggling to land solid dev work. Applications were going nowhere and I was feeling stuck. Then in early March I joined Pep AI and everything accelerated.
I dove head-first into mobile app development: building seamless onboarding flows, implementing paywalls that actually convert, designing solid backend systems, setting up analytics that give real insight, and most importantly: finding the sweet spot between intuitive, beautiful UI and handling complex user needs + schedules.
It shifted how I see mobile development forever. The skill runs way deeper than most people realize.
Now we’ve crossed $100k in revenue and we’re connecting with big creators who are about to take this thing much, much further.
I can’t wait to see where Pep AI goes next. The growth has been wild.
@Pepaiapp
I finally set up my second brain for Claude, and I feel like I’ve unlocked a new level of AI.
It now knows so much about my work that it creates weekly objectives automatically for me, and all I have to do is follow through.
I never forget anything at work now; all of it is filed away for later. Every lesson I learn, every piece of feedback I receive, and my daily workflows are stored for reference.
I highly recommend this for anyone trying to get an edge at work. It’s a lot of setup but well worth it.
The reason Pep AI was able to hit $200k in revenue in 100 days is because of the team we built. Everyone plays a part and without them we wouldn't be here. Find yourself a good team and you'll succeed too.
Got tired of mockup softwares so I made my own
I can either spend $90 on something limited, or spend an hour building something I can fully customize to fit our team's needs
Gotta love vibe coding
@TheAbrahamShoww We use three separate channels: User feedback for bugs, feature request polls for new features, and support emails for subscription issues.
The #1 lesson that transformed how I build at Pep AI:
I used to ship features based on what I thought was valuable.
Big mistake.
Real value comes from obsessing over users’ actual pain points, not your assumptions.
Now I start every single day reading feedback from users and testers. Here’s what changed:
• Ask about their biggest frustrations during onboarding
• Treat every complaint (even from one person) as data
• Never get defensive. If the feature was truly useful, the feedback would show it
Result? We’re solving real problems for way more people.
Feedback isn’t criticism. It’s your unfair advantage.
Excited to share that Pep AI was just featured on Starter Story! 🎉
I've been watching Starter Story videos for a long time to follow founders building things from scratch, figuring it out as they go. It was one of those channels that made me feel like building something of my own was actually possible.
Being featured on it now is one of those full-circle moments I'll remember for a long time. Very grateful for everyone who has supported Pep AI along the way.
You can watch it here: https://t.co/PsajNKhz6c
I'm 19 years old.
At 16 I sold my unblocked gaming website for $100k.
At 18 I sold Cal AI while at $40M ARR.
Now, my co just hit $300K MRR a month after launch.
The most important lesson I've learned to be successful in consumer is to dumb everything down.
1) Demonstrate the value of your product in 3 seconds or less in any advertising material.
2) Write messaging as if you are talking to a 3rd grader.
3) Make buttons so obvious that you can't get lost.
The is the key concept that makes apps viral and also high converting.
Karpathy just exposed the biggest lie in AI coding.
The best-performing AI coding setup on GitHub…
is literally a 65-line text file.
220,000+ stars.
#1 trending.
And most developers still haven’t opened it.
While everyone else keeps building:
– giant prompt stacks
– agent chains
– 14-tool workflows
– “autonomous dev systems”
this tiny file quietly pushed coding accuracy from 65% to 94%.
No fancy UI.
No viral “AI engineer” framework.
No secret model.
Just insanely clear instructions.
That’s the part people miss.
AI doesn’t usually fail because it’s dumb.
It fails because developers give vague goals, messy context, and conflicting instructions.
This file fixes that.
It forces the model to:
understand before acting,
stay focused,
avoid unnecessary complexity,
and optimize for the actual outcome instead of looking smart.
And somehow… that alone outperformed most overengineered AI coding setups on the internet.
We’re entering a phase where the developers with the clearest thinking will beat the developers with the biggest tool stack.
A 65-line markdown file just proved it.
Read it before everyone starts pretending they already did.
On my last post I talked about my marketing strategy for growing my app Pep AI to $125k in revenue in 80 days. However my biggest piece of advise is this:
Believing in yourself.
This is the best thing you can do while building a product. I've never doubted my app Pep AI. I was telling all my friends and family that Pep AI would be making over $100k 3 months ago and they laughed at me. Sure enough I was right. Within the next couple of months Pep AI will be doing millions a month. I'll be reposting this soon. A big part of success is your mindset. Don't let anyone tell you otherwise and go make it happen.