Built signal-based AI lead apps, generating 10+ booked meetings a month for my clients
Built internal AI tools and workflow automations saving businesses 20+ hours weekly.
Built AI voice receptionists, qualifying customers when the client sleeps.
Now I'm building your killer system, for free.
- No contract.
- No deposit.
- No commitment.
We build first. You decide later.
Apply:
https://t.co/W6GiKUkLEQ
Before you spend a dollar, we'll ship something.
Running an experiment. We'll build that app for you upfront.
Then you decide whether we're worth working with.
- No contracts.
- No retainers.
- No obligation.
We just start the work when you apply
Interested founders can apply here:
https://t.co/W6GiKUkLEQ
F**k it
If you're a founder running a business, I'm building your app entirely for free.
If you like it, we proceed - If not, we part ways.
Apply here: https://t.co/NStaePo584
YESTERDAY - We started the first "5 free Apps for 5 select founders" campaign.
The dashboard, app or system you always thought about, but never got time for money to build.
We're doing it for you, for free. 👇
biggest lesson running outreach at Fraima: open rate is a vanity metric. reply rate is the only number that tells you if your offer works. built https://t.co/3RK94U1MlP around that idea. replies first, everything else second.
@danbuildss same path. launched https://t.co/6biOaGTcf8 the same way. 1K visits from Reddit, 200 signups, 10 paid. $0 in ads. mapped 50K subreddits to find where our ICP was already asking the question. free distribution is everywhere if you know where to look.
200 signups, 10 paid. half the paid came from one giveaway post on r/SaaS. no ads. no cold email.
the whole thesis behind https://t.co/6biOaGTcf8: find threads where your ICP is already asking the question. then show up with something useful.
THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents)
building an agency right now is one of the most interesting business moves
the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on
but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc.
here's the actual playbook i'd run today:
pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing."
or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it
then you build the AI workflow behind it.
you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA
"BuT tHaT'S nOt a BiG bUsInnesS"
okay but you're still swinging for the fences
because the agency IS the research and development for your agent SaaS
every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want.
by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for
agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers
now let's talk about what this actually looks like financially
year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background
year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running
year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target
the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC
CAVEAT:
Startups are hard. A lot needs to go right.
But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks
and most of the businesses cost $0 to start
basically
this is the most capital efficient path to a software exit that exists right now
happy building
shipped https://t.co/VJgwh6skwD in 2 days. Claude Code for the brain, n8n for routing, Telegram for delivery. the part that took longest wasn't code. it was making the output useful enough that I actually use it myself every morning.
@_sgarbini the training step is what most people skip. they prompt Claude cold and wonder why it sounds like a LinkedIn post. feeding it real voice, past content, and actual numbers changes everything. 100 signups/day from X is serious though. curious what content format drove the most.
built https://t.co/6biOaGTcf8's subreddit scanner with claude + cursor. 50K subreddits indexed. the hard part wasn't scraping. it was figuring out which communities actually buy vs which ones just upvote.
@md_kasif_uddin Claude Code for logic and backend. Cursor for anything visual. built 4 products this way in the last few months. the trick is giving Claude Code real context -- project files, not just prompts. night and day difference.
https://t.co/bwBPHE0VZf started as a Notion template. then a spreadsheet. then a Claude prompt chain I ran every morning. shipped the real version with Claude and Cursor in a weekend. 3 failed formats taught me what the product actually needed to be.
shipping is cheap now. maintaining is expensive. 4 live products means 4 sets of bugs, support tickets, and feature requests competing for the same 12 hours. the real cost of vibe coding isn't building. it's keeping everything alive after.
@devzakir similar scale here. https://t.co/6biOaGTcf8 did 200 signups, 10 paying in the first month. the price increase move is underrated at this stage. most founders think they need more volume when they actually need more revenue per customer.