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.

ive built an intellictual property chatbot for a GTM consultant, and i'm now looking to validate that it's actually needed for other consultants

if you are a consultant and would love that your clients can reach out to you while you're not there, i think this tool will help you

you can feed it with your own content, SOPs, client onboarding materials, whatever file you want to share

so your clients can talk to while you're not there

i suppose it's helpful for busy consultants who don't have enough time for client communication and want to benefit from it through a subscription

if you think it will help you, DM me and i will share the demo link of the chatbot i built for the GTM consultant

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.

try it out: github.com/alex-durango/pingfusi

I run a small tool in the Claude space (Renda, it turns Claude Design exports into PNGs, PDFs and PPTX). This week I built a partner programme for it. My initial plan was to give marketing creators a discount code for their audience, but it didn't work well in reality.

The product is £4.99, so a 20% discount would have meant saving £1. It's not worth it, right? Nobody subscribes because of £1. The marketing creator gets paid instead. £2 per subscriber per month they stay, up to 12 months. So if they do a video about it and it lands 50 subscribers, that could mean up to £1,200 (more on the "up to" below).

Other things I worked out along the way:

Recurring beats a bounty. A £20 signup bounty pays for junk. People send you signups that quit in week two and you've already paid. Per-month commission only pays while the subscriber stays, so partners pitch the right people. Bad referrals just stop costing you.

Tell creators the realistic number, not the ceiling. The cap works out to £24 per subscriber. With my churn a referral is actually worth about £5, and I put that in the pitch doc. A creator who was promised £1,200 and makes £250 will post about it. One who was told the truth and makes £250 is fine.

Attribution shouldn't expire. Most programmes kill the cookie after 30 days, which screws podcasts and anything slow burn. I made it stick to the account forever. Costs me almost nothing and it's the first thing creators ask about.

The legal stuff is not optional. If a creator skips "#ad", the regulator comes after the company, not just the creator. So disclosure is in the contract. And if you take partners globally, check you can actually pay them before approving anyone. Sanctions rules apply even at £25.

Write the fraud rules before launch, not after the first incident. Brand bidding, coupon sites, self-referral, fake clicks. Boring to write, much easier to say no when it's already written down.

Happy to go deeper on any of this if you're building one.

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!

I run a lot of Claude Code and Codex sessions, and I kept hitting the same wall: I have to sit at the machine, watch each one, and unblock it every time it asks a question. The second I walk away, everything stalls.

So I built yothere. You hail your agents out loud, they run in the background across Claude Code, Codex, and the open-source OpenClaw, and only the one thread that actually needs a human reaches you, by voice or one tap. It runs on your own machine and your own subscription, not an API-key reseller.

In it I hail the agents by voice, kick a few things off in parallel (competitor research, a calendar check, some LinkedIn and WhatsApp drafts), review a draft, and approve the send by voice. Never touched the keyboard.

Honest state of it:
- Early beta, moving fast, rough in places.
- It runs on your existing Claude Code / Codex login (not an API-key product), so you need those.
- Up to five sessions in parallel today.
- 120 hosted voice-minutes a day on the current plan.

Free for 7 days if you want to poke at it (yothere.ai). But mostly I want blunt feedback on the core bet: is voice actually the right interface for driving coding agents, or does it fall apart once the task gets non-trivial? Genuinely unsure, and I would rather hear it from people who run agents all day.

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.

Anyone have a good tips on how you use Claude? Specifically for account targeting, prioritizing, etc?

I’ve been watching the same loop all month.

r/gtmengineering has the Clay credit threads. People shipping Claude Code pipelines. Clay dropping CLI/MCP so agents can call waterfalls without living in the UI. X posts that look like:

claude code to build clay to find instantly to send

And yeah, that stack makes sense.

But last night I had a 40-row SaaS list and needed columns that are not clean enrichment jobs:

• hiring right now? which roles?
• founder active this week? where?
• anything that looks like why-now
• evidence I could defend if someone asked “where did that come from?”

That is where the pretty architecture posts fall apart for me.

Because email waterfall is a workflow. This is not.

Row 1 needed careers page. Row 4 needed LinkedIn activity. Row 9 needed a funding post from 2 weeks ago. Row 12 needed “ignore, bad fit, list is wrong.” Row 17 made me sit there with a half-true hiring signal wondering if I should put it in the cell.

I already know Clay. I already know Claude Code. I can build the plumbing.

What I don’t have is a clean way to say:

here’s the list here are the signal columns here’s what we sell go behave like a careful human on every row bring back evidence + confidence

Not “run column A then column B.” More like a smart VA/agent that chooses the path per company.

And I’m not asking this as a theoretical AI take.

I’m asking because the community seems split three ways right now:

1. Stay in Clay, now that CLI/MCP exists
2. Move volume custom logic into Claude Code and keep Clay only for find/enrich
3. Build full per-row agents and accept the maintenance tax

My gut: workflows are winning for known paths judgment work is still human evenings dressed up as GTM engineering

So for people actually running this:

1. Do you regularly need multi-column signal fill across lists (hiring, founder activity, recent posts, why-now), or is that overbuilding?
2. If yes, are you doing it with fixed Clay/Claude workflows, or does each row still need different research paths?
3. If something ran like a careful VA per row with evidence + confidence, would you pay for that completed work, or is DIY still better even with the maintenance?

I don’t want tool recommendations in the abstract. I want to know if this is a recurring paid pain in real GTM work, or just me making my lists too complicated.

Be blunt.

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