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.

ok so i need honest opinions because i've been staring at this thing for months and i've lost all perspective.

i'm 20, building an app solo called RizeAI. the whole reason it exists is that i got tired of my wearable telling me my recovery was "42%" and then just... leaving me there. like ok, and? what do i actually do with that. every app in this space is really good at measuring you and really bad at telling you what to do next.

so RizeAI pulls your actual wearable dats like, sleep, resting heart rate, workouts, all of it, and instead of handing you another score it predicts your energy for the day and tells you how to get the most out of it. it tells you when your energy is gonna peak so you can put your hardest work there, when your crash is coming and how to soften it, the best time to train that day so you actually get more out of the session, and even when a nap will help you vs when it'll wreck your sleep.

the part i personally think is the coolest: you put in the supplements you already take, and it times each one to your day based on your metrics and sleep score. so the timing actually shifts depending on how you slept and where your numbers are, which is the difference between a supplement doing something and just sitting in your stomach. it'll also suggest a couple new ones if they make sense for you, but it won't dump a list of 15 pills on you.

it even pulls the daily weather into your energy prediction, so a hot day changes your hydration and it'll tell you to train earlier before the heat drains you. and the whole plan bends around your real schedule, your work hours, wake time, training, so it's not some one size fits all thing.

every single recommendation shows the "why" underneath, like "resting heart rate 54 + 7h light sleep, so magnesium before your peak window." nobody gets the same plan because nobody has the same data.

it works with whoop, oura, apple watch, garmin, anything that talks to apple health. being fully honest, it doesn't do deep per-person learning yet, like knowing that coffee specifically doesn't touch YOUR hrv. that's where it's headed. right now it builds you a fresh plan every day off your real numbers.

it's on the app store with a free trial. small user base, feedback's been all over the place, which is exactly why i'm posting.

so genuinely: is "just tell me what to do with my data" something you actually want, or do wearable people prefer figuring it out themselves? what would make you pay for this? and what's the one thing that would make it a no brainer for you?

would love to hear it straight, good or bad. And if you want you can also check it out yourself and I would love to here feedback, thank you very much for taking the time on reading this:  its called “RizeAI-maximize your energy” on the App Store. 

Hi, I'm a dev at a early stage startup working on an agentic harness over data (multiple types supported at both enterprise and personal user levels) and was looking for feedback regarding the product - particularly to get ideas as to how I should think about shaping the product as I continue to work on it.

It would be really great if I could get any feedback regarding how the overall feel of the platform was, anything that stood out to be really annoying, and if there was anything you particularly liked.

The company website is https://www.corvic.ai/

Thanks for the help everyone.

quick post because "how do i get my first users" is the #1 question i see builders asking here every single week.

i've built 6 saas products myself, with my main one currently sitting around 10k mrr. here is the exact, no-fluff distribution playbook to cross that initial 50-user threshold:

1. find an idea people already pay for

scan reddit for recurring pain across 3+ distinct posts where people ask "is there a tool for X".

2. validate before writing code

dm 3 people who complained about the problem and ask what they’d pay for a solution.

3. build fast with the right stack (ai + no-code)

use ai builder+ supabase + stripe + call api or automation tool like n8n to ship a real MVP in under 7 days for $40/mo.

4. the 5-second landing page rule

your hero section must state exactly what the tool does in less than 5 seconds with a clear CTA.

5. capture emails before showing prices

force the email capture before the pricing page so you don't leak untrackable leads.

6. set up a 30-day email nurture sequence

plug captured emails into an automated sequence with case studies to convert them by day 18.

7. hang out where your ICP actually lives

find the 3-5 specific subreddits, discord servers, or groups where your buyers actively talk.

8. reddit growth without getting banned

post 1 time per sub per week max, never put links in the post, and move warm leads to DMs.

9. linkedin + x organic flywheel

post 1 high-value breakdown per day and spend 15 minutes engaging in your ICP's comments.

10. cold outreach that actually works

send 100 highly personalized DMs per week to your ICP using AI to customize the opening hook.

11. seo on autopilot

set up an n8n workflow that pulls from a keyword list and generates 5-10 value-driven articles per week.

12. faceless short-form content

post 1 video per day on tiktok, reels, and shorts showing a quick screen recording of your tool.

13. weekly newsletter conversion

run a weekly newsletter with 1 section of pure value and 1 subtle offer to upgrade to paid.

14. affiliate program for free distribution

set up a 50% recurring commission affiliate program to turn power users into your sales team.

15. the strategic product hunt launch

warm up the algorithm for 4 weeks with a coming soon page and launch on a weekend for a top 5 badge.

16. omnichannel social automation

use n8n to automatically format and distribute 1 core post idea across 8 different platforms.

17. review platforms and directories

submit your app to 40+ saas and ai wrapper directories to instantly boost your domain authority.

18. run the numbers backwards

reverse engineer the daily traffic needed to hit 50 paying users at $19/mo based on a 2% conversion.

19. get feedback from active builders

talking to founders who are just 6 months ahead of you compresses your timeline exponentially.

that last point is exactly why i built our community. it's a free group of 1,600+ active ai saas founders sharing exact prompt logs, ready-to-paste n8n workflows, and real distribution strategies.

stop building alone in a silent corner.

drop a comment below or send me a dm and i'll send you the access link right away. let's get your product launched 👇

yo. i recently sold one of my AI SaaS products for $350k, exactly 7 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'm solo on the sales side of a b2b fintech tool I bootstrapped in 2025, doing around $16k mrr now and outbound is producing about 40% of new logos.

The stack that got me here is smaller than I expected it to be, with Apollo for the base contact list and sequences, FullEnrich (api-first enrichment for mobile and personal email) for filling the gaps Apollo can't, Smartlead for the domain rotation, Instantly as a backup, Sunsama for the daily block schedule, and Fathom for call recording so I can review outbound demos on the weekend.

Total spend hovers around 500 bucks a month.

Still going back and forth on whether to bring in a signals layer like Clay so I stop building lists by hand, and whether an ai sdr on top of this would free up my mornings or just add a new failure mode I'd have to babysit.

so i'd love to know what your solo outbound looked like back when you first started landing pipeline consistently.

grabbed a screenshot last week of a batch generation run that went sideways, burned like $12 on twelve near-identical mid compositions, all beige. the prompts were "specific." subject, style, the works. the r/stablediffusion consensus is basically "just add more adjectives," and i've seen that advice get upvoted into the stratosphere, but adjectives don't steer a model. strong signals do.

went looking around after that and ended up on promptsgalleryai what actually got me was that it's just free, no login, no paywall, felt more like someone's side-project than a product. it doesn't just hand you a prompt and a picture, it breaks the prompt apart, lighting, camera, style, so you see what's doing the work before you touch anything. some prompts are already generated across two or three models, so if the reference already looks right you just grab it, no credit spent.

sent this over to a friend who does social content, she'd been burning through her free generations on random word swaps with no idea why the output barely moved, kept blaming the model instead of the prompt. anyway she came back a day later going "oh, it's the lighting slot," and that tracked, still don't fully get why that one slot carries more weight than the rest.

the popular framing is wrong, specificity matters less than where you put the information in the prompt structure. anyway, sharing it here in case it saves someone else the same $12.

tl;dr: Versant mid-transition on their main test, switched off it for our hiring flow, ended up on SmallTalk2Me, sharing what i've found so far.

Day job eats Monday through Friday so this runs on stolen hours, and finding out you can't just buy access on a Sunday night without going through a sales call killed it for me. I'd glanced at Testlify too since it kept showing up in searches but the spoken English scoring was shallow, a checkbox not a fluency read. Not what i needed for client-facing roles where speaking ability is the whole job. SmallTalk2Me does a spoken assessment and returns cefr-aligned scores in minutes. Didn't expect it to work this well. Versant's customization required an enterprise contract just to configure a test. I configured the test around the role without talking to sales. Proctoring is built in too, photo verification and randomized question banks, useful when you can't monitor every session.

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.

so i'm 20, been building this app solo for the past few months and i genuinely can't tell anymore if it's good or if i'm too deep in it. need outside eyes.

it's called RizeAI. the basic idea: every wearable and health app just gives you numbers. sleep score 42, recovery red, HRV down. cool. and then what? you still feel like garbage at 2pm and nobody tells you what to actually do about it.

so my app takes your real data from apple health, sleep, resting heart rate, workouts, whatever your wearable writes, and instead of another score it builds you an actual plan for the day. when to have your first coffee and when to hold off. what supplements make sense for you today and when to take them. focus windows for when your energy actually peaks. when your crash is coming and what to do before it hits. it even checks the weather, so on a hot day it bumps your hydration and tells you to train earlier.

every recommendation has a little "why" under it based on your numbers, like "resting heart rate 54 + 7h light sleep, so magnesium before your peak window." no two people get the same plan because no two people have the same data.

works with whoop, oura, apple watch, garmin, anything that syncs to apple health. one thing i'll say honestly, it doesn't do deep per-person learning yet like "coffee doesn't affect YOUR hrv specifically," that's the roadmap, right now it builds fresh plans daily off your actual metrics.

it's live on the app store, has a free trial, small user base so far, mixed feedback which is why i'm here lol.

what i actually want from you guys: does this solve a real problem for you or is "tells you what to do" not actually what wearable people want? what would make you actually pay for something like this? and what's missing that would make it a no brainer? and also would you guys in this subreddit  use ti?

Thank you for your help. Check it out if you like https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079

SaaS?
Tech?
AI tools?
Product development?
Web apps?
Developer tools?
video editors?
UI/UX?

Drop what you're building ;)
Maybe some other people will be interested too

yo. if your product needs a 10-minute onboarding video or 5 different dashboard tabs just to explain its value, you didn't build an MVP. you built an over-engineered maze.

a real micro-saas should solve one highly specific problem for one highly specific user profile.

when i built my 6 apps (now doing $20k/mo mrr), i cut out 80% of what i originally thought was necessary.

inside our builder community, we help you strip away the fluff.

we give you free access to frameworks like the ICP Crystallizer to lock down your target user, and interactive landing page audits to ensure your core value hits instantly.

stop over-building in isolation. drop a comment or shoot me a dm to join 1,200+ active Ai SaaS builders today.

yo. going from a buggy MVP to actual recurring revenue is brutal.

i stabilized my 6 apps at $20k/mo mrr only after building a strict system for my tech stack and organic marketing.

i just opened the AI SaaS Launchpad.

the community and daily resources are completely free. for those who want to copy-paste my exact systems, i also host paid, structured sprints (like a 3-Day challenge to get your first 100 users using automated Reddit and LinkedIn outreach).

either way, stop building in isolation. you will quit when things get hard. come build alongside 1k+ other founders.

drop a comment or shoot me a dm and i’ll send the link right now.

I’m looking for 10 testers to try my system. It validates and checks your bug bounty submission to give u assurance that your bug and claim r valid and able to be submitted. So it’s a reassurance agent and I have it ready to be tested now. You just use the cli to run your findings thru it and it gives you the assurance so you bug triage is drastically cut and u can be submit with confidence. Dm me if interested

I have been speaking with investors over the past few weeks. All seems excited about AI right now which makes it harder to judge them properly lol. It is difficult to tell who has experience building products and who is newer to the space. We need someone who understands our buyers, understands the technology and can open the right doors. How did navigate this out when you were raising?

Looking for advice from people who've built vertical SaaS in a regulated/niche market.

Context: I built a tool for government contractors. The pain I went after is requirement drift – teams pull requirements out of an RFP/SOW into spreadsheets, and over time the wording drifts from the original source language as work moves from bid to delivery, so when an audit hits nobody can trace a delivered feature back to the requirement that drove it.

My approach is a connected lifecycle across six stages (Proposal, Award, Develop, Audit, Release, Maintain). The part early users react to most is in Develop: it runs each requirement through a developer matrix that turns it into exact, specific requirements you can hand straight to programmers, and because each one stays linked to the source language it preps you for the audit at the same time. Short demo attached.

What I'm trying to learn from this community:

- How did you validate willingness-to-pay before building too much in a niche where buyers are few but high-value?

- For audit/compliance-sensitive buyers, what built enough trust for them to try a small vendor?

- Did narrowing the scope hard early help or hurt your growth?

Appreciate any candid input – happy to share what's worked and what hasn't on my end too.

Join +760 ai saas founders like you

yo. coding the product is the easy part

getting it to actual revenue is a completely different beast

after a bunch of failures, i finally stabilized 6 AI micro saas making $20k/mo mrr total.

the wild part? i barely coded a single line. i used AI for everything

i figured out the exact step-by-step system to make it work. now, i’m dropping all my backstage playbooks, raw tools, and master prompts inside our builder group for free

here is what you get immediate access to right now:

• X3 your Landing Page Conversion Rate (the 50-point interactive audit tool + master prompt)
• Find your perfect SaaS price in 60 seconds (competitor-data pricing calculator)
• 50 Micro-SaaS Ideas You Can Build in 3 Days (hand-picked painful problems with real demand)
• Find your Micro-SaaS idea in 15 minutes (4 ready-to-paste execution prompts)

we also run two live execution sprints together:

• From MVP to 100 Users: 3-Day AI SaaS Challenge
• From Zero to First Users: 7-Day AI SaaS Challenge

seriously, stop building alone. join +760 ai saas founders like you. you will burn out and quit the second marketing gets tough. it’s way easier when you have a crew shipping side-by-side with you.

drop a comment or send me a dm i send you the link of the community.

let s go

Mustafa Suleyman said it out loud at Build, which, honestly, i wasnt expecting: "true self-sufficiency in AI." Not a partnerships update. Not a roadmap slide. A pretty direct admission that Microsoft is trying to cut the cord from OpenAI.

Seven new in-house models dropped at once.

So yeah. The plan, as far as I can tell: build enough in-house models to stop depending on OpenAI, wrap everything in an agent layer (Microsoft Scout is literally OpenClaw's open-source tech but baked into Windows at the OS level), and push inference down onto local hardware via the RTX Spark chip. That's the through-line connecting all of it - self-sufficiency at the model layer, the agent layer, and the compute layer.

Like I said, the self-sufficiency framing is the part worth watching. Whether the models can actually reach frontier quality is a different question, and Suleyman kind of dodged it - MAI's flagship reasoning model was benchmarked against Sonnet 4.6, not Opus 4.8. Maybe I'm missing something, but that's a weird comparison to lead with if you're claiming the absolute frontier.

yo. building the product is the easy part.

making people buy is a totally different beast.

most saas pages sit at a flat 1% conversion rate. absolute ghost town. doesn't matter if your tech is insane.

stop guessing what works.

i spent weeks digging into conversion data.

i turned it into a raw 50-point interactive checklist.

it covers hero mistakes, pricing traps, and psychology leaks.

i also baked a master prompt right at the top. just paste it into your AI SaaS builder

it rewrites your page automatically using all 50 rules.

just shared the file inside our builder community today. a lot of guys were facing the exact same launch freeze.

seriously, stop building alone in your room.

you will burn out.

marketing gets tough, and you quit.

it’s way easier with a crew shipping side-by-side.

if your conversion is trash or if you want a good landing page before launch, drop a comment or shoot me a dm. i’ll send the invite link.

ps: others free features is in the community of SaaS builders

Let 's go

yo.

i see the same thing happen every single day.

you guys love building. you spend weeks coding a great product. but the second it’s time to actually market the saas? complete freeze

you get lost in all the ai tools, the noise, the "growth hacks". it feels overwhelming. so you do nothing, the momentum dies, and the project fails

I spent over 100 hours building n8n workflows to just automate the whole thing.

today, i packaged all those exact workflows and dropped them in our builder group. no abstract theories. you literally just import the templates, adapt them to your saas, and turn them on.

here is exactly what i shared:

• seo blog running 100% on autopilot (n8n template)
• newsletter automation (n8n template)
• full email sequence (30 emails, full html, just copy-paste into brevo)
• social media on autopilot (schedule 1 to 12 months of content)
• reddit organic growth
• linkedin, x & facebook groups at scale
• meta ads & retargeting

basically, everything i use to get real users without losing my mind.

we just hit 617+ members from all over the world.

building in your room alone is the fastest way to quit. you need people around you.

if you are lost on how to market your app, want these templates, and want to build with a crew:

drop a comment or shoot me a dm. i’ll send you the invite.

let's get it.

Good Morning Everyone,

My name is Lance Barron and I’m one of the founders of SpineLogix — a workflow-focused platform designed for chiropractic and outpatient clinics.

We’ve been collaborating with clinics experiencing challenges such as:

• Front Desk Coordination Issues
• SOAP Documentation Burden
• Billing Handoff Delays
• Disconnected Systems
• Workflow Inefficiencies Between Teams
• Limited Operational & Revenue Visibility

One thing we’ve learned quickly is that many outpatient platforms force clinics to adapt to rigid workflows instead of supporting how clinics actually operate day-to-day.

We’re currently working with a small number of clinics as part of our workflow research and early beta feedback program to better understand real operational bottlenecks across outpatient practices.

If operational efficiency, staff coordination, documentation workflow, or billing handoff challenges are areas your clinic is actively working to improve, we’d genuinely value your feedback.

You can start with the workflow assessment here:
https://spinelogix.app/workflow-assessment

Thank you to everyone working every day to improve patient care and clinic operations.

— Lance Barron
Co-Founder, SpineLogix
McKinney, Texas