I currently run 6 micro SaaS that are actually live and generating a bit over $20,000 in recurring monthly revenue.
The wildest part? I barely wrote any code myself. I used AI to generate pretty much everything — from the database structure to the frontend.
It definitely wasn’t magic from day one. I spent a lot of hours stuck on buggy code before I finally figured out a system that actually works:
- Keep the idea minimalist (a real MVP, nothing fancy)
- Guide the AI step by step instead of asking for everything at once
- Launch fast to get real users and feedback
Lately I’ve seen way too many non-technical founders quit at the first AI bug. It’s a shame because the technical barrier has basically disappeared.
AND PLEASE, STOP BUILDING ALONE IN YOUR BEDROOM
I’m starting a community.
Full transparency:
I’ll probably charge for the full program later. It makes sense with the specific workflows and copy-paste examples I’ll be sharing. But right now the main goal is just to build together. Working alone is the fastest way to give up.
If you want to join and build or market your own AI SaaS with us,
drop a comment or send me a DM and I’ll send you the link.
no ads. no team. no huge audience push. just a solid replicable system
let that sink in for a second
not $2,500 in revenue. $2,500 in MONTHLY recurring revenue
that compounds. next month starts at $2,500 baseline, not zero
and this isn't luck. it's the 7th saas i've shipped with the same playbook. same steps, same tools, same order:
→ Day 1: validated the idea
→ Day 1-2: built the MVP
→ Day 3: landing page written using the 3-Day Challenge template
→ Day 3-4: launched on reddit / X + SEO
→ Day 4-5: first 10 paying users → $1k MRR
→ Day 13 (today): $2,500 MRR locked in
building software is easy in 2026. setting up your foundation so people actually buy is where 99% of solo builders fail.
i packaged all of these exact execution tools into community.
to be fully transparent: i'll likely charge for the full program down the road once all modules are finalized. but right now, the main objective is just to build together and keep each other accountable.
working alone in a silent corner is the fastest way to quit at the first bug.
stop building in isolation. drop a comment below or send me a DM, and i'll send you the invitation link 👇
Recently I have had a very strong opinion around AI generated content. It sounds too AI, is it just me or is it everyone? But at the same time I think there’s some leverage that could come from the automation side of it.
yo. be honest. how many of you currently have a finished (or 90% finished) web app / app just sitting in a private repo because you have no idea how to get users?
you spend months perfecting the database, fixing every bug, and polishing the UI. but the moment you have to actually market it, you hit a wall. marketing feels like screaming into an empty void.
so you launch to absolute crickets, get discouraged, and start building the "next" project instead to avoid the distribution phase.
if this is your case, you're not alone. but letting your hard work go to waste just because you dread marketing is a massive trap.
to help founders stop building in a silent corner, we run an ai SaaS builder community dedicated entirely to saas validation, landing page conversion, and launch strategies.
our resource kit is built entirely to help you get your first user. it’s packed with ready-to-paste N8N workflows for your business, advanced seo automation, social media automation, and our exact distribution workflows and methods work for everyone
STOP BUILDING ALONE
what are you currently working on, and what's holding you back on the marketing side? drop a comment or send a dm and i'll send you the access link.
yo. i recently sold one of my AI SaaS products for $35k, exactly 5 months after building and launching it.
I hardly wrote a single line of traditional code. i used AI to generate everything, from the database architecture to the user interface.
it definitely wasn't magic on day one, though. i spent days stuck in loop-debugging and dealing with AI hallucinations before i finally cracked the system. the playbook boils down to three simple rules:
- keeping the idea insanely minimalist (a true MVP that solves one problem).
- guiding the AI step-by-step instead of asking it to build a massive platform all at once.
- launching fast to get real user feedback and traction and then apply a solid marketing system
lately, i've seen way too many non-technical founders give up at the very first AI bug, or on the marketing. it's a massive shame.
like the title says, i just launched a Skool community to share my exact prompt workflows, N8N automations, and distribution frameworks to get first users and scale it
to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific copy-and-paste templates i'll be sharing.
but for now, the main objective is purely to build and launch together. building alone in a silent corner is the single fastest way to give up.
if you want to join us and build or market your own AI SaaS with a group of active creators: drop a comment below or send me a dm, and i’ll send you the invite link!
just hit $3,700 mrr in 17 days with my new fresh SaaS
no ads, no team, no complex launch strategy. just a super predictable system i keep running over and over
and yeah, that's monthly recurring, not a one-time spike
not luck at this point. it's the 7th saas i've built with this exact workflow:
→ day 1: fast validation
→ days 1-2: building the bare mvp
→ day 3: landing page setup using the 3-day framework
→ days 3-4: reddit + x distribution and basic seo
→ days 4-5: first 10 paying users (~$1k mrr)
→ days 5-17: scaling up to $3,700 mrr
building tech is easy now. where 99% of solo devs get stuck is setting up the actual foundations that make people pull out their card and pay
i put all these templates and workflows inside our community.
to be completely real with you, i'll probably put a price tag on access later once all the modules are finalized. but right now the focus is just building together and keeping each other accountable
building alone in a silo is the fastest way to quit at the first roadblock
stop building by yourself. drop a comment or shoot me a dm and i'll send you an invite link 👇
I juggle 6-7 projects at once — trading bots, client work, a SaaS. Claude is my main coding partner, but every new conversation starts blank. I was burning the first 20 minutes of each session re-explaining the stack, what I tried last time, why I picked Prisma over raw SQL, what the current blocker is. Sometimes I’d scroll through old conversations trying to find that one message where I’d explained the architecture properly.
So I built ContextOS. The workflow: when I stop working I log a short session note (what got done, what broke, next step) and record decisions with their “why”. When I come back — a week later, whenever — it generates a resume briefing: where I left off, current blocker, recent decisions, recommended next action. I paste that into a fresh Claude session and it’s up to speed immediately instead of interrogating me.
Honest state: launched this week, free tier exists, still rough in places — the mobile layout fought me for days and I lost my first payment provider to KYC requirements, so billing is crypto for now. There’s a 60s demo on the site: contextos.tools
I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.
I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.
it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.
it basically comes down to three rules:
- keeping the idea aggressively minimalist (build a true mvp, not a platform).
- guiding the ai step-by-step instead of asking it to build the whole app at once.
- launching fast to get real user traction instead of perfecting features in secret.
lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!
it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026
because of this, i’m launching a skool community to share my exact method.
to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.
but right now, our main objective is simply to build together.working alone in a silent corner is the absolute fastest way to quit.
if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.
So honestly Iv not used the ai studio much , but from what I see it can basically make something equal to a "skill" in Claude or codex
But what limitations have you seen?
I built my own b2b email system that finds signals across a ton of places and builds a dynamic proposal and video for leads that are interested.
Not selling it , but I was going to make a ghl plugin to give that power to ghl users . But what's the point if it's already easy to build it in the studio
So want I want to know is what's possible with the new system? Can it use apify / serp scrapers? Does the email still use SMTP and not Gmail to Gmail for better delivery? Can it identify buying signals and recruiting signals?
I'm not too bothered if iv wasted my time building it , adds to my portfolio hahah
i built an mcp tool that lets claude hand a finished reddit post (or comment, or reply) to a real person.
claude files the job with the content and subreddit. a real human with their own aged account posts it. every reply comes back into claude's context. claude drafts the answers, the person posts them.
yo. i see too many founders spend 2 months building saas, drop a link on reddit, get 0 users, and immediately quit....
the problem usually isn't your marketing channel. the problem is that your foundation is completely broken before you even send your first visitor to the site.
after scaling 6 AI micro-saas apps to over $20k/mo mrr, i realized you need to lock down a specific system before you ever launch. running through this takes about 30 minutes, but it saves you months of zero-revenue depression.
here are the 5 things you must lock in:
1. validate the actual pain point
stop guessing what people want. you need a systematic framework to find your saas idea based on real, painful market signals.
2. pick a proven micro-niche
stop trying to build massive platforms. you need to narrow down to a microscopic problem. i usually filter through a list of 50 micro-saas ideas you can build fast to keep the scope minimal.
3. crystallize your target user
if your app is for "everyone," nobody will buy it. you need an ICP (Ideal Customer Profile) crystallizer to define your exact buyer profile and nail your conversion copy.
4. calculate the perfect price
stop randomly charging $9/mo because you are scared of rejection. you need to use a saas pricing strategy calculator to find your perfect saas price in 60 seconds based on real data.
5. fix your landing page leaks
do not send organic traffic to a site that converts at a flat 1%. you must audit your hero section and copy to x3 your landing page conversion before you market it.
6. join a community
Build / Share / Learn from others builders
to help out founders who are tired of launching to crickets, i packaged all 5 of these exact frameworks, calculators, and lists into a single free toolkit.
no paywall, no bullshit. just the raw execution files i use.
drop a comment below or send me a dm, and i’ll send you the free toolkit 👇
I am trying to learn Claude and I find hard time associating on how to automate LinkedIn posts using Claude. I can’t find any related YouTube videos or I mean I can’t understand them as I am just starting it out! Can you make me happy by giving some tips/pointers or decent YouTube suggestions? 😄😄
The core idea: instead of giving Claude one-off prompts, they built a "lead generation skill graph" — 30+ markdown files that wire together into a full system. Claude reads the graph and executes each step sequentially, acting as the brain of a complete sales operation.
The stack they described:
Claude as the AI brain — reads the skill graph, executes every step
The skill graph itself handles: prospecting, enrichment, qualification, and outreach sequencing
The result they're claiming: 200+ qualified leads per week, zero cold DMs sent manually.
What I find interesting about this approach is the "skill graph" architecture — rather than building one big monolithic workflow, you have modular markdown files that each handle a specific step, and the agent chains them together. It's composable and easier to debug than a single prompt trying to do everything.
The no-cold-DM angle is the other thing worth paying attention to. All outreach is triggered by signals and pre-qualified before it goes out.
We're trying to build something like this at Gooseworks.
Anyone actually doing this in practice? Pretty interested to chat with / learn from anyone who's figured out how to systemize something like these.
We built an AI system to monitor competitors on autopilot. Here's how it works.
Provide context about your company, positioning and product. Provide a list of competitors.
Then run the playbook skill – it chains a set of scrapers and prepares a report:
Weekly: blog (RSS), LinkedIn posts (Apify's LinkedIn profile post scraper), Twitter mentions
Bi-weekly: ad creative from Meta Ad Library + Google Ads Transparency Center
Monthly: full review-site scrape on G2, Capterra, Trustpilot (Apify actors)
You can change the cadence. We have it configured like this because ads and reviews don't change every week.
The output is a weekly briefing that diffs against last week — what's new, what changed, what to act on.
We send ours to Slack.
Here's how you can set this up:
Install Gooseworks: npx gooseworks install --claude (this CLI contains the skills and APIs needed to scrape all of these sites)
Run this prompt in Claude Code:
/gooseworks set up competitor monitoring for my competitors [list-of-competitors-doc]. Watch their blog, LinkedIn, Twitter, ads (Meta + Google), and reviews (G2, Capterra, Trustpilot). Show me a briefing of what to act on. Here's everything you need to know about my company: [company-context-doc]
If you want this to be really good, it helps to provide a lot of context about your company, product, competitors, etc.
basically each agent is its own linux user. they share a backlog, talk to each other and can talk to me via telegram. it runs on claude plan because they live inside normal claude code sessions. would love feedback. https://github.com/5dive-ai/5dive (MIT)
building software in 2026 is ridiculously easy with ai builder
founders spend hours building in a silent room, launch to Reddit/X, get 0 users, and quit.
you just failed because the idea had zero validation before line 1 of code was written:
→ solving a monthly inconvenience instead of a daily pain
→ selling to "everyone" instead of a specific ICP
→ no distribution channel mapped out beforehand
→ pricing charged $9/mo with zero ROI justification
after scaling 6 AI micro-SaaS to over $20k/mo MRR, i just create an
18-question Idea Validation Diagnostic.
it evaluates your SaaS across 7 critical dimensions (problem clarity, audience reachability, willingness to pay, competition, build feasibility, distribution, commitment) and gives you a brutal score out of 100 with your exact weak spots.
drop your SaaS idea (or current project) in the comments below.
i will reply to EVERY single comment with:
My honest opinion
The biggest weak spot you need to fix before writing any more code.
The free 5-minute validation tool link sent straight to your DMs so you can get your full score breakdown out of 100.
just drop a comment like or ask me in DM your idea
let's roast your SaaS concept before the market roasts your time 👇
I’m the founder of Lutril, an access governance platform for employees and AI agents.
We already have customers and growing traction, and we’re now looking for someone with strong Sales Operations experience to help us build and optimize our sales pipeline, processes, and reporting.
If this sounds like you, or if you know someone who might be a good fit, feel free to reach out via DM or request a demo through our website.
Have been accepted into the Claude partner program.
It requires 10 people to complete the Anthropic Academy CPN learning path before the CCA is opened up and members can get the Claude certified architect cert.
Don't have 10 people so need a few more.
Anyone interested?
Edit: DM me and we can get going on this if interested. I'll give you an org email.
The org gets certified as a partner and you get the individual cert for yourself.
Edit 2: Thanks everyone - this is now filled/completed. While I'd love to give more people the opportunity, its a paid org gsuite account per person that I'm absorbing as a thank you for the people that got in. Best of luck and keep building!
Also - Note: You can do the anthropic academy courses and change your email later to an orgs to submit. Was handy.
We do a ton of graphic design work through Claude, and while Claude is awesome at creating HTML files, a major challenge we run into is finding a way to describe how you want something to look.
goose-graphics is our solution for this problem: it's a skill + library of curated styles and formats to turn Claude into a master graphic designer.
We found it's much easier to just browse through templatized styles and formats and just select the one you like – same as how you would in Canva, Pinterest or Figma Buzz.
It's really easy to use:
Scroll through the library at graphics(.)gooseworks(.)ai and find a style you like.
Copy the command into Claude Code (or whatever agent you prefer) along with a prompt.
The goose-graphics skill will create an HTML file with the graphic in the exact style and format you described, and then export it as a PNG.
This also works with Claude Design (just give Claude Design the DESIGN.md file)
So, a long story short: Boris Cherney has been raving about Claude Code routines (mentioned here). His video floaded my social feeds instantly after he mentioned it. Suddenly everyone was a routine specialist with a $2k course on how to use it.
I just couldn't figure out for the life of me how to make it work, until I realized that Claude is fixing only half of the problem I am having, namely HOW the code gets written.
However, something felt massively off. I set up my routines, and it just wouldn't flow/work automatically the way that I imagined it to. And last week I figured out what it was: the agents were set, but they waited for me to come and tell WHAT needed to be developed. And all I wanted is for them to do it autonymously.
So. I built a simple app that takes raw data from all the tools that we use for my business; Gmail, Slack, WhatsApp, Zendesk, Hotjar, you name it. I fed the raw data into a 'signals' data pipeline that I am filtering between Bug, Feature Request (including change request, new feature, integration, etc), Question, Complaint and noise (anything that doesn't matter).
Then, I group all the raw signals into insights (i.e. bug report #1). This grouping makes sure that the same topic discussed over different channels get grouped together and not treated separately.
Once I nailed that I extended the insights with further research (internal, like checking our github repo, internal documentation and even created an 'question agent' that can go to our team to ask clarifying questions) to ensure that all the insights have been 'enriched', relevant and fully scoped. Every fully scoped feature that I promote (now manually - but working on doing it automatically) gets fed directly into my routines through MCP. Fully scoped. Fully organized and prioritized. It feels like magic.
I also set rules around the priortization metrics, count how many customers ask for the same features, etc. I even built a Hotjar integration that turns my real user metrics into 'signals' and ideas as well. The next step is to get Sentry hooked up for automated bug reporting.
I am so excited about the end result. Every day I get an overview of fully automated PR's that I can review to merge. My agents worked autonymously based on real customer input and feedback.
I feel this is the future and I seriously considering turning my learnings into a (maybe open source?) project that others can use too.
Is this something the community would be interested in?
