On March 21: 100k followers.
Today: 200k followers.
128 days.
special thanks @marclou
you changed my life.
just documenting the journey publicly. grateful for all the support 🙏
first came the (1) build-it-and-they-will-come app paradigm
then came the (2) growth-hack-everything paradigm
we are now entering the (3) vibe-code-and-ship paradigm
few understand now. many will soon.
I own 3 shorts, 5 t-shirts, 2 socks, 5 undies, 1 sweater, 1 trouser, and 2 pairs of shoes.
My wife owns just a little more than that.
Our closet fits in a backpack.
It's been a game-changer for travelling the world in the past 2 years.
if you stopped using ai tools today, how long before your app building process would break down
- your prompting workflow
- your design decisions
- your launch speed
what would hold up longer than expected? what would collapse first
something shifted in me a few months ago where i stopped overthinking every app idea, stopped waiting to feel ready and just started building, shipping and figuring it out as i go
there are moments when a failed build or a bad launch genuinely stings.
but it usually means i was testing something real. the people playing it safe never feel that.
they're just waiting for someone else to figure it out first.
you'd be surprised how many ai tools you dont actually need. instead of chasing every new one, just focus on the few that move your build forward.
stop installing tools that go nowhere.
people will confidently tell you what works in ai without building a single thing.
no experiments, no failures, but total authority.
having a twitter account really does replace the need for actual reps now.
someone in our discord just taught me the professional way to say "this app idea wont work" is:
the market has already indicated low retention for this use case.
adding this to my feedback vocabulary immediately
@tim_cook just confirmed that 1,000+ new apps are submitted to the App Store every hour.
#WWDC#WWDC2026
Building is so easy.
Distribution is the game now.
in my first app, i thought it was about the idea.
after shipping it, i realized it was about the distribution.
now i realize it's about how fast you can learn what's not working.
Yesterday I saw this…
My net worth crossed ₹5Cr ($525k)…
and then for the first time, I asked myself… now what?
My current expenses are too low… ($600/month) because of where I’m currently living…
So I ask myself again… what now? I don’t have an answer yet…
Our app is making $3,000/day
on average 🤯
Feels crazy but
It took months of trial and error
Here’s what we would do in 3 steps
If we had to start over :
1. Mass produce content yourself
Reactions + demos work really well
( I’ve generated 6M+ views myself just dancing on TikTok this alone can get you to $5k or $10k/mo )
2. Find a viral format in your niche and mass generate reels with AI
Apps are making $200k/mo
using only AI UGC
It’s the future of marketing and low cost
I break it down in depth
in the quoted article
3. Hire real UGC, $15/vid
30 or 60 vids/mo
It’s best to do real UGC only once you have a repeatable viral format.
Otherwise just wasting money
Apply these 3 things to your app
And thank me later.
found a prompt that gets solid results when building with ai tools. good for scoping out a new app idea before you start building. sharing in case it saves you time.
--
"you are an indie app strategist. break down {App Idea} as if you were deciding whether to build it.
rules
1) use real market signals, not assumptions. cite app store data, reddit threads, or competitor reviews where possible.
2) separate facts from guesses. tag each section as Fact, Analysis, or Inference.
3) be specific. no vague claims - show numbers or explain why they are not available.
deliverables
A) quick verdict (5 to 8 bullets): idea summary, build or skip call, target user, core pain point, monetization path, biggest risk, and what would change the verdict.
B) full breakdown across sections 1 through 8 below.
1) problem clarity - is the pain real and frequent enough to build on
2) target user - who has this problem and how do they currently solve it
3) market size - rough TAM and how crowded the space is
4) competitor audit - top 3 to 5 alternatives, their weaknesses, and where the gap is
5) monetization - realistic revenue model given user type and willingness to pay
6) build scope - mvp feature list, estimated complexity, and what to cut
7) distribution - how does the first 1000 users actually find this app
8) risk list - top 3 reasons this fails and what early signals to watch
output format
- verdict first
- then sections 1 through 8
- use bullets and short tables where helpful
- label any speculation as Inference
quality bar
- no generic advice. ground everything in the specific idea.
- be honest about weak spots."
"the biggest mistake i made was treating ai tools like a sprint. apps, workflows, ideas, audiences - all compound with consistent use over months.
that is entirely what this game is about. " - something i wish someone told me earlier
start building in public and someone will say "who asked for this"
ship your first app and a friend will remind you it's been done before
start using ai tools and someone calls it cheating
this is just how it goes. tune it out and keep building anyway.
The fastest way to fail at building apps:
• Inconsistency
• Distraction
• Lack of Focus
• Lack of Clarity
• Overbuilding
• Perfectionism
• Procrastination
• Overthinking
• Impatience
• Not Pivoting
• Not Shipping
• No Validation
• No Distribution