I built a full 3D padel game in 4 days with AI. Physics, glass rebounds, AI opponents, online 2v2, World Tour. No engine. Runs in a browser tab. Ask me anything about how 👇 Play it free in your browser. Link in my bio.
I built a full 3D padel game in 4 days with AI.
Physics, glass rebounds, AI opponents, online 2v2, World Tour.
No engine. Runs in a browser tab.
Ask me anything about how 👇
Play it free in your browser. Link in my bio.
Lucide retweeted
Success is not linear:
2013: Rejected by YC
2014: First startup → FAILED
2017: Second startup → FAILED
2018: Another app → FAILED
2019: Launched tiiny (solo, bootstrapped)
2020: First customer - $10
2021: $1k MRR
2023: $10k MRR
2024: $20k MRR
Today: @tiinyhost is a $1,000,000+ ARR business
Lucide retweeted
CLAUDE CODE SKILL THAT REFUSES TO SHOW YOU COLOR UNTIL THE LAYOUT ACTUALLY WORKS
Every design tool defaults to showing you something pretty first
This one does the opposite on purpose
Run /wireframe redesign the dashboard and it generates 5 different UX approaches - one safe extension of your existing patterns, four genuinely exploratory - all in black and white first, all interactive, all in one HTML file, in under a minute
logic behind forcing black nd white: if a screen doesn't make sense without color, no amount of color fixes it
Stripping visual forces the actual structure to carry the design, not the gradient
Once you pick a direction, 5 parallel agents kick in and write Clean and Polished color variants for that option simultaneously - tabs turn from gray to color live, no reload, no waiting in sequence
First run on any project, it scans your CSS, JS, and templates to learn your actual design patterns before generating anything - every option after that extends what you already have instead of inventing a new visual language
The part that matters for real handoff: every wireframe is a working prototype, not a static frame
Tabs click, accordions open, hover states fire - inside a browser frame mockup a stakeholder can actually click through before a single line of production code exists
full below
$12,700 in the last 30 days.
not a stripe screenshot pasted from someone else's saas. it's his own dashboard, self built, running on localhost, sitting open on his own macbook while he screenshots it for the tweet.
ex apple, ex hubspot, psychology grad turned engineer. building rankd.dev solo, no cofounder, no team, no office.
wonder how much of that 12.7k is recurring vs one time signups. either way the guy built his own internal bi tool just so he could watch the number move.
Just crossed $10k/mo revenue 🎉🥹
And got my first BJJ stripe
I’ve realized that indie hacking and bjj have a lot in common
> Fail 99 times for every win
> Show up consistently
> Try again and again
You can’t fail if you never give up
zero 3d model files. this train doesn't exist as geometry, it exists as math.
no meshes, no rigging, no imported assets. wheels turn from real physics, not animation curves. explode and reassemble is code, not a canned animation. runs smooth in a plain browser tab, no game engine underneath.
astra wrote the whole thing from a prompt. no blender, no maya, no hours in an asset pipeline.
what happens to 3d modeling work when the model file stops being the deliverable?
GPT-6 Astra + @threejs is insane. We are way beyond static models. We are engineering living worlds in code now. There are no "3D model files" in this demo. Both trains are generated at runtime from Typescript/Three.js code using dimensions, profiles, and geometry functions. Wheel motion and explode/reassemble animations are also entirely code-driven. Runs super smooth inside the browser.
GPT-6 Astra + @threejs is insane. We are way beyond static models. We are engineering living worlds in code now. There are no "3D model files" in this demo. Both trains are generated at runtime from Typescript/Three.js code using dimensions, profiles, and geometry functions. Wheel motion and explode/reassemble animations are also entirely code-driven. Runs super smooth inside the browser.
$100k+ saved in one week. by a bot they built to negotiate their own vendor contracts.
no case study, no press release. just running it on their own spend and posting the number.
it's called haggle bot. one thing doing three jobs: renegotiate contracts, hunt down unused seats, price-check recurring charges. most finance teams pay a whole person for job #2 alone.
wonder how long before every ops team has one of these quietly running in the background.
You can now add Bot templates from our marketplace.
We’re sharing Haggle Bot, our in-house procurement specialist. It negotiates vendor contracts, finds unused SaaS seats, and price-checks recurring purchases.
One week in, it's saved us over $100K.
You can now add Bot templates from our marketplace.
We’re sharing Haggle Bot, our in-house procurement specialist. It negotiates vendor contracts, finds unused SaaS seats, and price-checks recurring purchases.
One week in, it's saved us over $100K.
$10M ARR. 10x in eighteen months. not a vague "we scaled" post, an actual playbook.
he listed every lever that actually moved the needle, not the highlight reel version.
the big one: dropped the small buyers, went straight to series a/b founders and recruiting firms for way higher tickets. that's crustdata.
everyone's chasing more leads. he chased better buyers instead. what's your actual ICP looking like right now?
we hit $10m ARR!
here's everything we learned going from $1M to $10M in 18 months:
1) new ICPs - we ran some experiments and found two new buyers (big ticket) - recruiting firms and founders of series A and B (GTM white glove). we were originally powering the ISVs (think the AI SDRs and AI recruiters of the world) but found going straight to the buyers we could sell much more deals and at much higher ACVs
2) FDEs - we have a technical product. not having the knowledge to properly sell was slowing us down. But true technical sellers are a rarity, our FDEs are deployed post-call and support customers, but they also join calls and help close deals with data pulls, analysis, installing Skills, etc. It's similar to solutions engineer, but touching the prospect/customer during the whole process
3) self-serve - we launched self serve a few months ago - biggest contribution has been straight revenue, but hope to tighten the system so the funnel to AEs and big contracts moves the needle more than the actual revenue from direct sign ups
4) segmentation of sales - we started segmenting by size. our fastest, most efficient AE takes 'smaller/mid-sized' opps and other AEs that aren't enthused with the small tickets are able to go after bigger customers. we did this relatively early, but still not early enough. this is huge.
5) white glove - GTM white glove is a revelation. the pull is insane. The learning is customers and the population are disenchated with AI and automation promises. they haven't worked end to end - you still need a human to set up and run different steps - helped with models and good data (us). we started offering GTM white glove to help people set up their entire gtm - and get inbound leads through post creation and outbound leads through targeting and massive email sends
we did all of the above while staying relatively small - more and more of my time goes into recruiting as we hit scale, my co-founder flew to Japan for a week just to close
$4M ARR in one year. 30 years old. no audience, no brand, no shortcut.
he wrote out every stage with the actual mrr numbers attached, not vague talk about "growth" or "distribution."
$0 to $6k mrr was cold email and dms, no fancy funnel. $6k to $25k came from posting breakdowns in reddit subs alone, 10M+ organic views, cost basically zero. that's gojiberry ai.
he says none of the stages replaced the last one, they just stacked, all the way to yc.
what's still stuck in your $0 to $6k stage?
I'm 30. I built an AI startup called @GojiberryAI doing over $4M ARR in one year. Got accepted into YC.
No one wants to hear this, but there's no magic distribution channel.
We got there by experimentmaxxing one channel at a time, based on our MRR level.
$0 → $6k MRR: pure outbound. Cold email + LinkedIn, using our own early product on ourselves. No brand, no audience — just us reaching out to people showing intent and starting conversations. Ugly, manual, effective.
$6k → $25k MRR: Reddit. Our first real acquisition breakthrough. We posted educational breakdowns in SaaS subreddits and pulled 10M+ organic views. Traffic quality wasn't amazing, but the volume flooded our trial funnel for months. Cost: basically zero.
$25k → $75k MRR: content + free blueprints. All-in on LinkedIn content, YouTube, motion-design videos, and giving away our internal systems as free "blueprints." Content got the reach, blueprints earned the trust, and a chunk of readers converted. This is where founder-led content started compounding.
$75k → $150k MRR: partnerships + X. We added Twitter, B2B influencers, sponsored newsletters, and a lifetime affiliate program that became a major lever. We also joined YC around here — the intensity went vertical.
$150k+ MRR: paid + hiring. Meta ads, Google ads, influencer agencies, and our first serious hires: growth, sales, engineering, product.
To get to $1M+/month, it’s mostly going to come down to hiring the right people and putting the right structure in place.
Here's the part people miss: none of these stages replaced the last one. They stacked. Outbound never stopped. Content never stopped. We just added the next lever once the current one was clearly working.
If you take one thing from this: don't chase five channels at once.
Beat one until it works. Then add the next.
$4M ARR in one year. dude's 30, no funding, no audience, just got picked up by YC off the back of it.
no vague flex either. he laid out every single mrr milestone in public instead of a highlight reel: $0 to $6k was pure cold email and linkedin dms, ugly and manual.
$6k to $25k came from reddit alone. gojiberryai posted educational breakdowns in saas subreddits, pulled 10m+ organic views, and it cost basically $0.
what was your first channel that actually moved the needle
I'm 30. I built an AI startup called @GojiberryAI doing over $4M ARR in one year. Got accepted into YC.
No one wants to hear this, but there's no magic distribution channel.
We got there by experimentmaxxing one channel at a time, based on our MRR level.
$0 → $6k MRR: pure outbound. Cold email + LinkedIn, using our own early product on ourselves. No brand, no audience — just us reaching out to people showing intent and starting conversations. Ugly, manual, effective.
$6k → $25k MRR: Reddit. Our first real acquisition breakthrough. We posted educational breakdowns in SaaS subreddits and pulled 10M+ organic views. Traffic quality wasn't amazing, but the volume flooded our trial funnel for months. Cost: basically zero.
$25k → $75k MRR: content + free blueprints. All-in on LinkedIn content, YouTube, motion-design videos, and giving away our internal systems as free "blueprints." Content got the reach, blueprints earned the trust, and a chunk of readers converted. This is where founder-led content started compounding.
$75k → $150k MRR: partnerships + X. We added Twitter, B2B influencers, sponsored newsletters, and a lifetime affiliate program that became a major lever. We also joined YC around here — the intensity went vertical.
$150k+ MRR: paid + hiring. Meta ads, Google ads, influencer agencies, and our first serious hires: growth, sales, engineering, product.
To get to $1M+/month, it’s mostly going to come down to hiring the right people and putting the right structure in place.
Here's the part people miss: none of these stages replaced the last one. They stacked. Outbound never stopped. Content never stopped. We just added the next lever once the current one was clearly working.
If you take one thing from this: don't chase five channels at once.
Beat one until it works. Then add the next.
$1,372 in 44 hours. 98% profit margin.
not a mrr screenshot with a suspiciously round number either. he split it out: $951 came in direct, $421 showed up on its own without him touching anything.
running it solo, no team, no funding, just chasing his first $10k/month in september.
98% margin on a solo project is the part that actually stops me mid scroll. most tools i see people flex have way more overhead eating into that number.
what's actually driving the indirect chunk though
i think september is going to be my first $10k/mo revenue month, hopefully 🤞🏻
in the last 44 hours, i made around $951 directly from scrolllaunch.com/ and $421 indirectly
total: $1,372 with ~98% profit 👀
$1,400 a month for a va doing weekly reports. an agent does the same job for $60.
oscar ran the actual year-one math instead of a vibes take. $16,800 for the va vs $5,120 for the agent, setup and supervision hours included.
he also shows the scenario where the agent loses. under 30 min of manual work a week and you already broke even before it starts.
most people never run this number before buying the subscription. curious how many are stuck paying the $1,400 version.
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$1,400 a month for a va doing weekly reports. an agent does the same job for $60.
oscar ran the actual year-one math instead of a vibes take. $16,800 for the va vs $5,120 for the agent, setup and supervision hours included.
he also shows the scenario where the agent loses. under 30 min of manual work a week and you already broke even before it starts.
most people never run this number before buying the subscription. curious how many are stuck paying the $1,400 version.
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$2.5 million in 24 hours. for a duck.
pollen robotics and hugging face opened pre-orders and it sold out that fast. techcrunch and engadget both covered it within a day.
$399 a unit. that's something like 6,250 orders before the first one even shipped. fully open source, walks, learns from falling over.
hardware is supposed to be the hard part. nobody told this duck that.
We sold over $2,500,000 worth of Microducks in the first 24 hours. Is this one of the most successful robot launches in history?
Insane achievement by @antoinepirrone and the team!



















