I Run 5 Businesses from Brooklyn with Zero Employees. The Tools Cost $48/month.
In February 2022, Russia invaded Ukraine. I packed a bag, grabbed my 2-year-old son (who was in the middle of brain cancer treatment), and flew to New York with my wife. We had savings. We had each other. We had no plan.
Before the war, I'd spent 13 years building Elevation Group, a distribution company in Ukraine. Six brands, 10+ retail chains, 70+ B2B clients. We moved containers from China, cleared customs, handled certification, got products on shelves. Revenue crossed $10M. I had 15+ employees and an office in Kyiv.
Now I run 5 businesses from a 600 sq ft apartment in Brooklyn. Zero employees. My son is healthy, running around playing soccer. And my entire operational backend costs me $48/month. But the $48 is the least interesting part. Any developer can spin up the same tools. The hard part is knowing which processes to automate and which to leave alone. That took 13 years of getting it wrong first.
The $48/month Stack
I know the number sounds clickbaity. Let me break it down.
- Claude Max subscription: $100/month. I use this for personal and business, so I count roughly half. Call it $50.
- Claude API (Sonnet, for automated scripts): ~$15/month.
- Firecrawl (web scraping): $0 (free tier, 500 credits/month. I use maybe 200.)
- Hosting: $0. Cloudflare Pages, free tier. All 5 business websites.
- Automation: $0. n8n self-hosted on my MacBook. Cron jobs via macOS LaunchAgents.
- Reddit bot, LinkedIn automation, lead scraping: $0. I built them myself with Playwright and Python.
- Domains: ~$12/year each, so about $5/month across all projects.
Total: roughly $48/month in recurring costs. Some months it's $52. Some months it's $41.
I'm not counting my time, obviously. I work 9 AM to 10 PM most days. But that's the cash out of pocket for the tools.
The 5 Businesses
1. Mozabrik (ecommerce)
Photo mosaic construction kit. You upload a photo, we turn it into a buildable mosaic, 60 to 100 bucks. Amazon, Etsy, TikTok Shop. This one runs mostly on autopilot. Product sourcing from China, fulfillment through Amazon FBA.
2. OD Granite (B2B)
Ukrainian granite for the US market. Countertops, facades, monuments. I built an AI voice agent that handles inbound calls and qualifies leads. Scraped 29,000 contractor leads from public databases for about $15 in API costs. A lead gen agency quoted me $8,000 for the same thing.
3. Kompozit USA (distribution)
Ukrainian paint brand entering the US market. B2B distribution, targeting contractors and retailers. 117,000+ leads in the database. This is closest to what I did in Ukraine, so the playbook is familiar.
4. Consulting project (through my network)
The one paying rent while I build everything else.
5. Negodiuk.ai (AI consulting)
Fractional AI Officer for small and mid-size companies. I show businesses how to do what I'm doing. Set up AI agents, automate workflows, cut headcount costs.
What AI Does Daily
Every morning at 7:30 AM, a Python script scrapes 5 Telegram AI channels, runs the content through Claude API, and generates a LinkedIn post draft. It sends the draft to my Telegram bot. I review it, tweak a line or two, and publish by 8:00 AM.
At 9:30 AM, a Reddit monitor checks subreddits I care about (r/smallbusiness, r/Entrepreneur, r/artificial, r/ecommerce) for posts where I can add value. It drafts responses and sends them to me.
At 10:00 AM, a Reddit auto-poster drops 5 comments across various subreddits. It has anti-detection built in: random time jitter, reading delays before commenting, max 1 comment per subreddit per day.
Throughout the day, the AI voice agent on OD Granite picks up calls, qualifies leads, and books meetings.
Every lead that comes in gets enriched through Firecrawl (scrape their website, figure out what they do, estimate where AI could help) and Claude (generate a personalized briefing).
I didn't build all this in a weekend. It took about 6 weeks of evenings after my son went to bed.
What Works
The automation saves me 30-40 hours/week compared to doing everything by hand. Lead scraping alone would take a full-time employee. Content creation would take another. The voice agent replaces a receptionist.
Mozabrik generates revenue. The granite voice agent booked 3 meetings in its first week.
The stack is stable. LaunchAgents run the cron jobs. If something fails, I get a Telegram alert. Most days, I don't touch the automation at all.
A few specific wins from March:
- The prospect research agent I built with Firecrawl generates a 1-page company briefing from any URL in 90 seconds. Cost per briefing: $0.03. I ran 30 of them last week.
- My daily LinkedIn post pipeline has run for 3 weeks without breaking. I spend maybe 5 minutes reviewing and tweaking each morning.
- The Reddit monitor surfaced a post on r/smallbusiness where someone was asking about AI for their distribution company. I replied with my granite voice agent experience. Got 12 upvotes and a DM.
Small numbers. But 60 days ago I had zero systems, zero content, and zero online presence.
What Doesn't Work (Yet)
I've been live with my consulting business for 22 days. Cold outreach clients: zero.
I've sent InMails on LinkedIn Sales Navigator. Applied to expert networks (GLG approved me at $250/hr, Maven active, BTG reviewing, Toptal waitlist). Listed on every directory I could find. Submitted guest posts. Pitched podcasts. Built a 22-page website.
Nobody who doesn't already know me has paid me for consulting.
All my revenue comes from personal connections. That's the truth. The AI systems work. The marketing runs. But trust takes time. I don't have case studies yet. I don't have Google rankings (site isn't even indexed after 3 weeks). I'm competing against people who've been doing this for years with portfolios full of client logos.
I'm not discouraged. I knew this would be the hardest part. Building the tech was the easy half.
Honest Math
If I'd hired people to do what the AI does, here's a rough breakdown:
- Content writer (LinkedIn + Reddit + blog): $3,000-4,000/month
- Lead researcher / data entry: $2,500-3,500/month
- Receptionist / intake calls: $3,000-4,000/month
- Prospect research assistant: $2,000-3,000/month
That's $10,500-14,500/month in payroll. I'm paying $48.
The catch: I spent 6 weeks building everything. And I maintain it. Things break. Prompts need tweaking. The Reddit bot got flagged once and I had to adjust the timing. The voice agent mispronounced "quartzite" for the first 3 days (contractors noticed). It's not set-and-forget. It's more like set-and-check-every-morning.
But I'd rather spend 30 minutes debugging a script than manage 4 employees. I've done both. The script doesn't call in sick.
What's Next
April is about proof. I'm doing free AI audits for 5-10 companies, publishing the results as case studies. Submitting Upwork proposals to build a track record. Asking everyone I know for referrals. Booked my first podcast appearance (Honest Wealth Builders, March 26).
The systems are built. Now I need to run revenue through them.
AMA in comments. Or check what I built: negodiuk.ai
This is one of the most honest and detailed automation breakdowns I've seen on IH. The part that resonates most is your distinction between knowing which processes to automate vs. just spinning up tools — that's the real insight buried in here, and it took you 13 years of operational experience to develop that intuition.
Your daily content pipeline is fascinating. The Telegram scrape -> Claude API -> LinkedIn draft -> review -> publish workflow at 7:30 AM is exactly the kind of thing most people overcomplicate with expensive SaaS tools. And the Reddit monitor with anti-detection (random jitter, reading delays, 1 comment/sub/day) shows you actually understand platform dynamics, not just the tech.
I'm building something in a similar vein but for a different use case — a managed service called ChannelPilot that runs fully automated faceless YouTube/TikTok channels for people. Same philosophy as your stack: AI handles topic selection, script generation, video production, voiceover, and auto-publishing to 9 platforms daily. The user just picks a niche and the system runs. Like your setup, the hard part wasn't the AI — it was figuring out which parts of the content workflow can be fully automated vs. which need a human checkpoint.
Your "honest math" section is gold. The $10K-14K/month in equivalent payroll vs. $48/month in tools is the kind of comparison that makes the case for automation better than any pitch deck could. I'd love to hear more about the voice agent — specifically, how long did it take to get the prompt engineering right for lead qualification? That seems like the highest-leverage piece of your whole stack.
Rooting for the consulting side to click. The free audit -> case study pipeline is smart. Once you have 3-4 published results, the inbound will start compounding.
Pretty impressive how AI can give superpower! Thanks for sharing this man
The $48 stack is cute but your real edge is 13 years knowing which processes to automate. Most founders waste months automating the wrong things because they've never run real operations.
The part about knowing which processes to automate is what most people skip over. The $48/month stack is impressive but you're right that it's not the hard part.
After 13 years figuring out which things needed human judgment, you had a clear map of where automation would actually help. Most people trying to replicate this are automating before they've done the manual work long enough to understand the failure modes.
Curious what the $48/month would have looked like if you'd tried this in 2022 vs now. The tooling cost has dropped a lot but the Claude API costs alone have changed the math significantly.
Incredible story of resilience — packing up and building 5 businesses from scratch in a new country is no small feat. I'm curious about the AI voice agent for OD Granite: what platform are you using, and how are callers reacting to it compared to a human?
The gap between "systems are built" and "revenue flows through them" is the part nobody talks about. You've automated the operational side, which is impressive, but the consulting zero is the real story here. Trust doesn't automate.
I run multiple apps as a solo dev and the pattern is always the same. The building part is fun and feels productive. The part where you sit there with a working product waiting for strangers to care about it is brutal. Your free audit approach for April sounds right though. Giving away value first is probably the fastest way to build that trust when you don't have case studies yet.
Curious about the voice agent on OD Granite. 3 meetings in the first week is solid. Are contractors actually comfortable talking to an AI on the phone, or do they just not notice?
Hi there, great post!
I'm iterested in your Reddit monitor. Have you used ML to train it? In my google extention Redarply I use an openAI prompt and 2 filters , still it's far from perfect regarding how it chooses the posts. Any suggestion is highly appreciated.
Good luck with your businesses, you are doing a great job!