Your Average Tech Bro
4 Months After Quitting Big Tech to Build My Own Startup (Revenue, Users, Stress)
updated
After a viral spike took Yorby from roughly $6K to $11.5K MRR, customer churn brought us back to a $9.4K plateau. In this video, I break down the product and marketing changes my co-founder and I are making to reach our next major revenue milestone.
On the product side, we’re building Yorby for AI agents through MCP and CLI integrations while making social media marketing more autonomous with an automated content calendar. On the marketing side, we’re returning to the strategy that worked before: launching and growing a new product entirely with Yorby to create a real startup case study.
This is our plan to reduce the time it takes users to see value, improve retention, and prove that our AI social media marketing platform can drive measurable growth.
Chapters:
00:00 From a Viral Spike to a $9.4K Plateau
00:50 What Yorby Does and the Bigger Vision
02:32 Building Yorby for AI Agents
04:41 Automating Social Media Marketing
07:55 The Growth Playbook That Worked
10:44 Launching a New Product to Prove Yorby Works
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#SaaS #AIMarketing #BuildInPublic
I avoided cloud coding agents for months because I assumed they weren't worth the hassle. After 3 weeks of using Cursor's cloud agents every day on Yorby, I'm not going back.
In this video I break down exactly what cloud agents are, why they solve a problem that local agents and GitHub worktrees couldn't fully fix for me, and when I actually choose to use each one. The big unlock for me was being able to run multiple features in parallel that both require database schema changes, something that constantly blocked me when everything was running off one local Supabase instance.
I also cover where cloud agents still fall short compared to local agents, specifically for fine-tuned UI and UX work, and the handoff process between cloud and local that can get a little flaky. Plus a workaround I found when that handoff fails. This is a real workflow breakdown from someone building a $120K ARR app every day, not a theoretical overview.
Chapters:
00:00 Why I’m Obsessed With Cloud Agents
01:28 What Is a Cloud Agent?
02:06 Where Local Coding Agents Fall Short
03:36 How Cursor Cloud Agents Work
05:17 Automating Work and Travel With GroqBot
07:59 Setting Up a Cloud Agent
09:48 The Pros and Cons of Cloud Agents
13:16 When to Use Cloud vs. Local Agents
15:30 Why I’m Sold on Cloud AgentsCheck out Grok Bot here:
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #claudecode #cursor
Yorby crossed $100K ARR, I posted about it, and overnight we went from $8K to $11.5K a month. Then the churn caught up with us and we settled back at $9.3K. This is the honest story of what actually happened, what going viral does and doesn't fix, and why 60K impressions on X and LinkedIn drove more paid conversions than Instagram videos with millions of views.
Chapters:
00:00 Viral Reality Check
00:48 What Yorby Does (and How We Market It)
01:34 The Two Posts That Went Viral
02:30 Revenue Spiked to $11.5K a Month
03:12 Then the Churn Hit
03:56 What We Actually Learned From It
05:40 Repeatable Growth Beats Going Viral
07:05 Why Platform Matters More Than View Count
08:09 Final Thoughts
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #saas #indiehacker
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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How I built a better AI agent after my first version completely failed.
I spent the past month building an AI agent inside my startup, and the first version was honestly pretty bad. In this video, I break down what went wrong, what I changed, and how I rebuilt the agent to actually produce useful results.
I cover how I think about AI agent architecture, tool calling, planning modes, clarifying questions, context gathering, and why the quality of your input matters more than the agent framework you choose. I also walk through the real AI carousel agent I built for Yorby, my AI social media marketing app, and show how it plans, asks questions, gathers context, and creates better output for users.
If you are building AI agents, working with the Vercel AI SDK, adding tool calling to your app, or trying to build better AI products in 2026, this is the practical breakdown of what actually worked for me.
Chapters:
00:00 I Built an AI Agent for My Startup
00:54 Why Agent Frameworks Don’t Matter
01:48 The Biggest Mistake I Made
02:42 The AI Agent I Built for Yorbi
04:03 Why One-Shot Prompting Failed
04:57 Plan Mode and Context Gathering
05:08 Asking Clarifying Questions
05:55 How the Agent Reviews, Plans, and Iterates
07:01 Why Input Quality Matters Most
07:21 General Purpose Tools vs Overbuilt Tools
07:58 Copying What Works From AI Coding Tools
08:40 How to Build Better AI Agents in 2026
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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#AIAgents #AICoding #BuildInPublic
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A few months ago I made a video showing that my app was making $5K a month and somehow turning $0 profit. That video broke down every cost at the time, which came out to just over $3,000 a month. Now that we've crossed $100K ARR and are running at around $10,300 a month in revenue, I wanted to do the same exercise again and see where we actually stand.
The short version: revenue more than doubled, but costs only went from $3K to $4.2K. We went over every service we pay for including Supabase, Vercel, Resend, Apify, Kling, Google Cloud, Claude, Codex, PostHog, and a bunch of others. I also get into where we think we can cut costs significantly by self-hosting more of our infrastructure and moving some LLM usage off the frontier model providers.
Chapters:
00:00 How Much It Costs to Run a $100K ARR Startup
00:39 What Yorbi Actually Does
01:57 Revenue Proof and Current Run Rate
02:17 Infrastructure Costs: Supabase and Vercel
04:04 Team Tools: Notion, Slack, and Email
06:27 Analytics Costs with PostHog
07:01 AI Costs: Claude, Gemini, and OpenAI
12:59 Video Gen, Affiliates, and Workspace Tools
14:58 Scraping, Support, and Backend Services
17:23 Total Monthly Costs Revealed
18:08 How I’d Optimize Startup Costs
21:02 Why Marketing Costs Are Low
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #saas #indiehacker
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
Follow me on TikTok: tiktok.com/@youraveragetechbro
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Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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Here's how I scaled my Supabase app to 45,000 users and the two specific optimizations that made the biggest difference in performance.
This is the third video in my scaling series. Most of the heavy lifting happened between 0 and 10,000 users, but at 45,000 we started hitting real latency issues that forced two specific changes. The first was moving away from row-level security rules as our primary query defense mechanism, which was adding 10 to 20 seconds of load time as our database grew. The second was migrating from Supabase's getUser to getClaims, which shaved off up to two seconds per authenticated request. I also get into whether dropping RLS is actually a security risk and how I think about the tradeoffs.
The app I'm building is Yorby, an AI social media marketing tool, currently running on the same Supabase tier we've been on since 10,000 users with a compute upgrade along the way.
Chapters:
00:00 45K Users Milestone
00:41 Proof and What Yorby Is
02:31 Fix #1: Row-Level Security Was Killing Performance
04:35 Sponsor: Hermes by Hostinger
05:55 Is Dropping RLS Actually Safe?
08:57 Fix #2: Migrating from getUser to getClaims
10:12 Wrap Up
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
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Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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#supabase #nextjs #buildinpublic
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Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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#buildinpublic #saas #startuplife
Watch the full breakdown here: youtu.be/Okfj1dBwT2w
#buildinpublic #saas #indiehacker
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Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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Watch the full breakdown here: youtu.be/Okfj1dBwT2w
#buildinpublic #saas #indiehacker
This is the complete timeline of how my co-founder and I built Yorby from scratch, grew it to $5K/month using nothing but organic AI-generated social media content, hit a plateau for two months, then broke through to $8,400 MRR by going upmarket and launching a premium B2B offering. I also share the specific insights that made this product more successful than the 13 apps I built before it, including why we removed the free tier, why we stopped competing on price, and why the "make more money" pitch works so much better than "save time."
If you're an indie hacker, solo founder, or developer trying to build your first profitable SaaS, this is the honest breakdown of what it actually took.
Chapters:
00:00 Hitting $100K ARR
00:49 What Yorby Does
02:28 The Stripe Proof
03:22 How It Started: 14 Apps, 2 Pivots
03:51 The Vacation That Accidentally Launched Our Startup
05:28 The Plateau We Got Stuck In for 2 Months
05:56 The B2B Pivot That Broke Us Out
08:46 99% of Our Growth Came From One Thing
09:39 Key Lessons From the Journey
16:02 Final Thoughts
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #indiehacker #founder
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Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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In this video I walk you through the four questions I ask myself every time I'm deciding whether to stick with a product or move on. We cover founder-product fit, why loving your industry matters more than most people think, how to tell if real users actually want what you're building, and why competition is actually a green flag, not a red one.
This is coming from a solo builder and indie hacker perspective, not a VC-backed startup playbook. If you're building your own app on the side or full time and you're not sure whether to keep going or cut your losses, this one's for you.
Chapters:
00:00 Pivot or Push Through?
01:12 Question 1: Are You the Right Founder for This?
04:49 Question 2: Do You Love the Industry You're Building In?
06:15 Question 3: Are Real Users Actually Using It?
08:07 Question 4: Why I Only Build Where Competitors Exist
09:03 The Only Thing That Actually Makes You Win
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #indiemaker #solodev
A billionaire investor told me to 10x my prices and lose 90% of my customers, and after thinking about it, I think he's right.
A few weeks ago my co-founder and I pitched Yorbi to Jason Calacanis inside his Launch accelerator program. He didn't sugarcoat anything. He told us our $40/month pricing made us look cheap, that we'd never land serious B2B customers at that price point, and that we needed to completely rethink our business model if we actually wanted to build something big.
In this video I walk you through exactly what he said, why we decided to actually listen to it, and how we're now pivoting Yorbi from a $40/month self-serve B2C tool to a $300/month premium B2B offering with white glove service and a full sales-led process. Early signals have been good, but it's a big swing and I'd be lying if I said I wasn't nervous.
Chapters:
00:00 Pitching a Billionaire
00:21 Meet Jason Calacanis (Launch Accelerator)
00:57 What Yorbi Does
01:50 Too Cheap to Win Big Clients
02:46 The 10X Pricing Advice
03:40 Why We're Listening to Him
04:58 Our AI Instagram Growth Hack
06:31 Building the New Premium Tier
06:54 Sponsor: Xero
09:19 Early Sales and What's Next
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #startupjourney #solodev
I'll walk you through everything: how we warm up accounts, the hook and demo format that's driving most of our views, how we use NanoBanana for image generation, Kling 3.0 for video generation, and Claude Sonnet for script remixing, and how you can replicate this entire workflow yourself without paying for any tool. If you're a founder or solo developer trying to market your app on social media without spending a ton of time or money on content creation, this is exactly how we did it.
Chapters:
00:00 The Proof: $5K/Month With Only AI Content
01:52 Step 0: Warm Up Your Accounts
02:58 What Type of AI Content Actually Works
05:53 The Full Workflow (Step by Step)
06:46 Step 1: Find and Remix What's Already Working
08:37 Step 2: Generate Your AI Avatar
10:24 Step 3: Generate the Hook Video With Kling
12:27 Step 4: Stitch, Export and Post
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#buildinpublic #solodev #aimarketing
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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I got a $20,000 Google Cloud bill because I was vibecoding too hard and ignoring basic engineering practices.
Last month I woke up to a nearly $20,000 Google Cloud bill on my startup Yorby, and I had no idea it was coming. In this video I break down exactly what caused it, why my budget alerts completely failed to catch it, and the specific changes I made to my AI coding workflow to make sure it never happens again.
If you're a solo dev or indie hacker using Claude Code, Codex, or any agentic AI coding tool to build your startup, this is a real warning about what happens when you let AI run too far without proper guardrails.
Chapters:
00:00 The $14K Wake Up Call
00:39 Proof In The Billing Dashboard
01:01 Why the Budget Alert Never Fired
01:55 The Anomaly Email That Saved Us
02:09 The Feature That Caused It
04:07 How The Database Gets Filled
04:43 The Expensive AI Inference Loop
05:55 Sponsor: Xero
08:03 Fix #1: PostHog LLM Monitoring
09:04 Fix #2: Stop Letting AI Run the Show
11:10 Grill Me and Phased Plan Workflow
14:16 What I'd Tell Every Vibe Coder
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
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#vibecoding #buildinpublic #solodev
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6 months after quitting Big Tech, my SaaS hit $8K/month in revenue, started shrinking, and forced us to rethink our entire startup strategy.
In this video, I share a full startup update on Yorby, the AI social media marketing tool I’ve been building full time since leaving my software engineering job in October. We’ll go through the revenue, user growth, churn, and the product decisions we’re making after hitting our first real growth ceiling.
I also break down why we’re shifting from a broader prosumer tool toward a more B2B SaaS strategy, why AI UGC content is becoming our next big product bet, and what I’ve learned after 6 months of building a startup full time.
If you’re a solo developer, startup founder, indie hacker, or software engineer trying to build a profitable SaaS, this is a realistic look at what happens after the first growth spike.
Chapters:
00:00 Six Month Check In
00:14 YourView Recap
01:34 Revenue Peak, Dip, and What It Taught Us
03:24 Why We're Going B2B
04:59 Why We're Going Upmarket
06:09 Sponsor Victor In Slack
07:53 The Big Bet: AI UGC Studio
10:07 API Access and What Businesses Want
10:41 Six Months In: Honest Personal Reflection
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#SaaS #BuildInPublic #Startup
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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I use Claude Code and OpenAI Codex every day to build my startup as the sole developer.
In this video, I break down the AI coding skills and workflows I use inside my real codebase, including how I plan features, review smaller PRs, automate pull request checks, add better logging, and create safer systems for my team to ship code with AI.
I also show how I set up Claude Code skills, OpenAI Codex skills, phased implementation plans, and a custom vibe coding workflow so less technical teammates can contribute without constantly being blocked by me.
If you are building apps with AI, using Claude Code, testing OpenAI Codex, or trying to create a safer AI coding workflow for your startup, this is the setup I’m using right now.
Chapters:
00:00 How I Use AI to Build My Startup Solo
00:38 Personal vs. Team Skills
01:34 Agents Directory + Claude Symlink Workaround
03:22 The Grill Me Skill
04:38 Phased Plan + How I Use Both Together
06:23 Building Yorby's UGC Studio (Example)
08:57 Phased Implementation: One Phase at a Time
09:56 Babysit PR: Auto-Fix CI and Merge
13:01 VibeCode Skill: Enabling Non-Technical Teammates
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#AICoding #ClaudeCode #SoftwareEngineering
Watch the full breakdown here: youtu.be/5bs2VGWeA-4
#programming #startups #buildinpublic
Watch the full breakdown here: youtu.be/5bs2VGWeA-4
#buildinpublic #saas #programming
After 5 years of bootstrapping startups, I finally decided to raise $125K. In this video, I explain why I changed my mind about startup funding, what pushed me to raise money, and what I have learned about bootstrapping vs venture capital.
For a long time, I was strongly against raising money and believed bootstrapping was always the better path. But after building for years, hitting the same growth ceiling, and trying to grow startups without much capital, I started to see fundraising differently.
In this video, I talk about bootstrapping vs venture capital, why I finally raised $125K after 5 years, and what I learned from going through startup fundraising and accelerators. I also cover how referrals and warm intros can help with investor access, the pros and cons of raising money, and the fear many founders have around losing control of their company through board seats and investor dynamics. Finally, I break down when funding can actually help startup growth and when bootstrapping may still be the better path.
If you are a founder trying to decide between bootstrapping or raising money, this video is for you. I cover startup fundraising, investor psychology, startup accelerators, growth constraints, and the tradeoffs that come with taking outside capital.
Chapters:
00:00 I Raised $125K (After 5 Years Anti-VC)
01:00 Hitting a Ceiling Bootstrapping
02:34 Why I Finally Decided to Raise
03:49 The Indie Hacker Narrative Problem
05:14 There’s No “Right Way” to Build
05:24 Why Bootstrapping Struggles With Growth
06:28 Building a Team + New Systems
06:58 Sponsor: Tango (Onboarding System)
07:58 The First Idea That Actually Feels Big
09:12 What Changed After Raising Money
10:53 The Downsides of Having Capital
12:18 Can Investors Take Your Company?
14:10 Bootstrapping vs VC (My Real Take)
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#Bootstrapping #StartupFunding #VentureCapital
In this video I break down my full social media marketing playbook for solo developers who want to grow an app or SaaS through organic content. Over the past five to six years I have built more than 14 apps, and the main way I have marketed them has been through organic social media. More recently, the app we are building now has been hovering around roughly $6K to $8K per month, and all of that growth has come through social media marketing.
I cover what I mean by social media marketing, why I think it is one of the best early growth channels for apps, how the algorithm works, how to warm up new accounts, how to make stronger hooks, what short form formats work best, and how to think about brand accounts versus founder led marketing. I also go into AI versus human content, how we hire and manage creators, how we structure creator payments, and the mistakes I would avoid if I were starting over.
If you are trying to get your first users, market your app without relying on ads, or learn how to make content that actually converts into signups, this video is for you.
Chapters:
00:00 Why Social Media Wins
03:53 How The Algorithm Works
05:43 Account Setup (Avoid Getting Flagged)
07:04 Hooks That Go Viral
13:56 Best Content Formats
20:34 Posting Strategy That Works
26:17 AI vs Human Content (What Works Now)
28:15 Hiring UGC Creators (Andrew’s Playbook)
33:45 How To Vet The Right Creators
35:17 How To Pay Creators (Structures That Work)
37:40 Managing Creators (Red Flags + When To Cut)
42:45 Final Strategy + Rapid Fire Tips
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#SaaS #SocialMediaMarketing #SoloDeveloper
I switched back to Neovim during the AI coding boom and rebuilt my entire workflow around it. It sounds counterintuitive with tools like Cursor and Conductor everywhere, but this setup actually made my AI coding workflow faster, more flexible, and way more powerful for real development work.
In this video I break down exactly how I’m using Neovim with AI coding tools like Claude Code, GPT Codex, and Warp, how I manage multiple agents, review code, and why this setup might be better than traditional AI IDEs.
If you're a developer building apps with AI and want a faster, more efficient workflow, this is the setup I'm using right now.
Chapters:
00:00 Back to Neovim
00:39 Why Old Tools Still Win
01:00 From Cursor to Agent Workflows
02:52 Where Conductor Breaks Down
04:52 Rebuilding the Workflow in Neovim
07:47 Worktrees, SeamuX, and Claude Setup
10:20 Git Diffs, LSP, and Why Neovim Feels Better
11:48 When Cursor Still Helps
12:41 Why PR Automation Still Needs Babysitting
14:12 Diffview, Terminal Setup, and Warp
20:49 Final Thoughts
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#neovim #aicoding #programming
Watch the full breakdown here:youtu.be/1O-lcVfan58
#buildinpublic #IndieHacker #SaaS
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
In this video I break down how we scaled our SaaS to 25,000 users and around $8,000 per month using organic social media as our main growth channel. I walk through the exact growth strategies we used, why we expanded from a single AI UGC account to 20 to 40 creator accounts, and how we reinvested revenue back into marketing to drive more user growth.
I also cover the technical scaling issues we ran into as usage increased, including moving part of the stack away from fully serverless infrastructure, dealing with Postgres connection pooling issues, using Upstash workflows, and adding a dedicated server to handle more database operations.
On the business side, I talk through the churn problems we hit, what we learned from analyzing our user base, and how that changed our ICP from prosumer creators toward brands and agencies that had lower churn and higher product usage. I also share our future plans for growth, including more organic content, better targeting, and experimenting with cold outreach.
If you are trying to grow a SaaS, scale a startup, improve retention, or learn how organic social media can drive user acquisition, this video should be helpful.
Chapters:
00:00 25K Users and $8K per Month
00:10 What This Video Covers
00:53 Meet Ybi and How It Works
02:29 Proof of Users and Revenue
03:28 How We Grew With Organic Content
04:14 Scaling From 1 to 40 Creator Accounts
04:52 Why We Hired Creators for Leverage
06:31 Stack and Infrastructure Choices
07:00 Moving Beyond Fully Serverless
08:05 Fixing Our Supabase Connection Bottleneck
11:00 Churn, ICP, and What We Do Next
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
Follow me on TikTok: tiktok.com/@youraveragetechbro
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#SaaS #StartupGrowth #SocialMediaMarketing
In this video I break down how to build, grow, and monetize a SaaS product while still working a 9 to 5 as a solo developer. I share the lessons I learned after building more than 14 apps, going from projects that made $0 to apps generating a few hundred dollars per month and a current SaaS doing roughly $7K to $8K per month.
This is a full step by step guide for software engineers, solo developers, indie hackers, and aspiring founders who want to build a profitable SaaS without quitting their job on day one. I cover how to find SaaS ideas, how to choose what to build, how to ship faster with a practical tech stack, when to avoid overengineering, and how to approach marketing through SEO, LLM optimization, organic social media, paid ads, and cold outreach.
If you are trying to build your first micro SaaS, get your first users, validate an app idea, or learn how to market a SaaS product as a developer, this video is for you.
Chapters:
00:00 How To Build SaaS While Working 9 to 5
00:20 My Journey From $0 to $8K per Month
01:14 What This Video Covers
02:04 Expectation Setting and Early Mistakes
03:41 How To Find SaaS Ideas
05:34 Rebuild Existing Apps and Copy What Works
07:36 Competitors Are a Good Sign
08:17 Build What You Can Market
09:05 How To Build Your App as a Solo Dev
09:30 Speed Over Fancy Tech
10:06 Recommended Tech Stack
10:39 Managed Infra Over Self Hosting
12:47 Avoid Overengineering Too Early
13:34 When Scaling Actually Matters
15:18 How To Market Your SaaS
15:30 Learn Marketing Like a Skill
17:27 Do Marketing Yourself First
18:33 Pick One Marketing Channel
20:14 SEO and LLM Optimization
20:46 Organic Social Media Marketing
22:37 Paid Ads Reality Check
23:16 Cold Outreach for B2B
23:56 Find Your Marketing Fit
24:40 Build Market Validate Repeat
25:05 Final Thoughts
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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#SaaS #SoloDeveloper #IndieHacker
Watch the full breakdown here: youtu.be/1O-lcVfan58
#buildinpublic #indiehackers #saas #coding #shorts
Watch the full breakdown here: youtu.be/EJX9Ckqt0YU
#AICoding #ClaudeCode #Codex #Conductor #Shorts
I walk through the exact AI workflow I use inside Claude Code and Conductor, including how I plan features phase by phase, keep pull requests small, review code more effectively, and update my project documentation so future AI coding sessions have better context. Instead of trying to build a fully autonomous AI software engineer, I use AI as a force multiplier for my own output and stay involved in the loop for anything that actually matters.
This is the same simple AI coding workflow I’ve used while building YBI as a solo developer, scaling the product to roughly $8K a month in revenue and over 25,000 users. My goal with this video is to show that you do not need an insanely complicated AI coding setup to ship real product features, write better code, and move faster as an indie hacker or builder.
If you’re interested in AI coding, Claude Code, developer productivity, solo developer workflows, building apps with AI, or how to create your own practical AI coding system without overcomplicating everything, this video should help.
#AICoding #ClaudeCode #solodev
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
Follow me on TikTok: tiktok.com/@youraveragetechbro
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Chapters:
00:00 AI Coding Is Getting Out of Control
00:29 My Simple AI Coding Workflow
01:01 Solo Founder Context (7K MRR)
01:26 What Most People Get Wrong
01:33 The “Midwit” AI Coding Problem
02:06 Overcomplicated AI Workflows Explained
02:28 The G-Stack Example (Too Much?)
02:50 Tools Don’t Matter As Much As Skill
03:31 AI Is NOT a Junior Engineer
04:30 Why I Stay Human-in-the-Loop
04:52 Keep Your Workflow Simple
05:08 My Conductor Setup
05:32 Planning Features Step-by-Step
05:41 Why I Only Ship Small PRs
06:20 Tracking Plans in Git
07:09 CLAUDE.md as Source of Truth
08:48 Updating Docs + Final Workflow
I’ve built 14+ apps over the last 5 years and honestly most of them flopped. In this video I’m going through all of them, what each app was, why it failed, what actually worked, and the biggest lesson I took from building it.
Some of these made basically nothing, some got traction, some made a few hundred to around $2K/month, and all of them eventually led me to the app I’m building now, which is doing around $5.6K to $6K/month right now.
Big theme of this whole video is that a lot of the time the problem wasn’t coding, it was distribution, marketing fit, timing, or just building something I didn’t actually want to stick with long term. So if you’re trying to build a SaaS, make money with software, or figure out which ideas are actually worth chasing, hopefully this saves you a few years of pain.
Let me know in the comments which app or lesson you related to most.
Chapters:
00:00 Five Years of Failed Apps
00:26 App 1: Three Minute Journal
00:45 Building Before AI Was Easy
01:04 First Marketing Attempts
01:39 Why It Was Hard to Sell
02:23 Find Your Marketing Hammer
02:57 Marketing First
03:00 App 2: Link Fold
03:34 Cold Outreach Reality Check
04:03 App 3: Nexus Research
04:20 YouTube Inbound Marketing
04:53 Viral Content, Weak Plug
05:36 Revenue Win, Partnership End
06:10 Two Projects, Same Problem
06:26 Suite Project: No Heart
07:24 Social Cue: No Viral Angle
07:58 Leveling Up With Traction
08:29 Dev Toolbox Goes Viral
09:24 Perfect Interview Peaks
09:58 Build What You Use
11:13 Monty: Copy, Then Differentiate
12:45 How SerpApi Powers Ybi
14:56 Ybi Features: Remix and Database
16:32 Too Early, Then Right Time
17:44 Time in the Game
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
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One of the easiest ways to find profitable app ideas is by applying new tech to old industries. Watch the full breakdown here: youtu.be/FkwGBc2codE
#saas #startups #appideas #solodev
#saas #appideas #startups #solodev
Watch the full breakdown here: youtu.be/FkwGBc2codE
#shorts #saas #startups #appideas #solodev
If you've been following the rise of AI coding tools, you've probably heard about the shift from traditional AI code editors to agentic coding workflows. Instead of writing most of the code yourself, these tools let you run multiple coding agents in parallel, review their changes, and ship features much faster.
In this video I test three of the most popular agentic coding tools right now: Conductor, Superset, and Cursor. I walk through how each one works, how they handle multi agent workflows, and what the actual development experience feels like when you’re building a real app.
I share which tool I personally recommend for agentic coding right now and where each one still falls short.
If you're a solo developer trying to build apps faster with AI, this breakdown should help you decide which agentic coding setup is actually worth using.
Chapters:
00:00 What Are Agentic Coding Editors?
00:28 Conductor vs Superset vs Cursor
00:57 Setting Up Conductor Workspaces
01:43 Running Multiple AI Coding Agents
01:56 Running Apps and Terminal Workflows
02:20 Demo: Prompting Multiple Agents
03:25 Conductor Pros and Cons
04:43 Switching Models for Code Execution
05:18 Reviewing AI Code Changes
06:54 Creating Pull Requests with Agents
08:12 Sponsor: Crusoe AI Infrastructure
09:54 Debugging CI Errors from AI Changes
10:53 Conductor Limitations and IDE Needs
12:24 Continuing Work in Cursor
13:05 Conductor Final Thoughts
13:21 Superset Terminal Based Workflow
14:50 Superset PR Workflow Issues
20:38 Cursor Agent Mode Setup
22:41 PR Creation Issues
23:58 Why Cursor Feels Broken
25:31 Final Recommendations & Comments
Check Out Yorby, the social media marketing tool for startups: https://www.yorby.ai?utm_source=yatb-yt
Want to work with me 1:1? Book some time with me at youraveragetechbro.com
Check out my AI-powered interview prepping tool: http://perfectinterview.ai/?utm_source=yatb-yt
Check out my latest SaaS product to start automating your job: http://montee.ai/?utm_source=yatb-yt
Follow me on TikTok: tiktok.com/@youraveragetechbro
Follow me on Instagram: instagram.com/youraveragetechbro
#coding #ai #programming #developer #aiagents #buildinpublic
#coding #programming #developer #softwareengineering
#coding #programming #developer #softwareengineering


