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TL;DR

Ukrainian developer Nick built Block to Pin—an AI-driven Pinterest automation tool that designs and schedules pins—and grew it from a quiet, zero-dollar launch to over $16,000 MRR by prioritizing a highly specific niche and treating his first users like personal employers.


The Founder’s Story

Nick learned software engineering at age 15 and landed a developer job immediately after graduating school, dreaming of working at a massive tech giant like Google or SpaceX. However, in 2022, the war in Ukraine broke out, severely impacting his life and throwing him into a prolonged depression.

Seeking an alternative to corporate life, he discovered the indie hacker community. He decided to ride the generative AI wave, building and launching several apps, all of which failed and made zero revenue.

Refusing to quit, Nick tried a different angle: he launched an AI-written blog centered on his personal passion for cocktails. In trying to drive traffic to the blog, he tested Google, Instagram, Facebook, and Pinterest. Pinterest performed exceptionally well, but designing pins manually took 5–10 minutes per pin. Since growing a blog on Pinterest requires 5–10 pins per day, Nick realized he could automate this painful process. He set out to build the solution, resulting in Block to Pin.

The Building Process

Nick began building Block to Pin in December 2023. Working a full-time 9-to-5 job, he programmed strictly on nights and weekends. At the time, he used GitHub Copilot as his primary coding assistant, building the application inside the Cursor code editor.

Because the code logic was complex and AI capabilities in late 2023 were less mature, it took him two months to build a stable version. Although he hacked together a scrappy MVP in 7 days, he had to rewrite the entire codebase to make it a reliable product.

Block to Pin operates on a B2B SaaS model, scanning a client’s website, extracting images and metadata, and dynamically generating weeks of SEO-optimized, visually unique Pinterest pins in minutes. Nick originally launched with a lifetime deal (LTD) to secure any traction, later shifting to a monthly subscription model ($39/month starter tier alongside higher-ticket agency and enterprise tiers).

Launch & Marketing Strategy

  • Niche Focus Over Broad Appeal: Nick stresses that an indie hacker’s app should be “the absolute best one for one specific person, and a complete disaster for everyone else.” He focused entirely on bloggers and content sites trying to automate Pinterest traffic, making the tool faster, cheaper, and better than slow-moving, legacy competition.
  • Treat First Users as Employers: After a quiet launch that generated no revenue for the first 10 days, Nick shifted his focus to micro-level user satisfaction. He reviewed screen recordings of users interacting with the app, analyzed their Pinterest accounts if their traffic stagnated, and built requested features in hours. This obsession with customer success converted early users into active brand advocates.
  • Organic SEO & Backlink Grind: Nick did intensive manual outreach in the beginning—creating articles, participating in Reddit communities, and pitching niche influencers. This initial grind built a powerful backlink foundation.
  • LLM Search Recommendation Arbitrage: By seeding detailed articles and keyword backlinks across the web, Block to Pin achieved “asymmetric marketing.” Today, a large portion of Nick’s traffic comes organically from AI platforms (like ChatGPT and Claude) recommending his tool to users asking how to automate Pinterest marketing.
  • 1% Daily Growth Formula: Nick adheres to a mathematical growth strategy: if you focus on adding just one new customer a day and maintain a 10% monthly churn rate, you will secure ~200 active customers by the end of the year. At a $50 average ticket, this creates a stable $10,000 MRR business in any viable niche.

Tech Stack

  • Web App Hosting & Deployment: Vercel
  • Server Scrapers: Hetzner
  • Residential Proxies: Oxylabs
  • Generative Text AI: Gemini API
  • Generative Image AI: Fal.ai
  • Email & Churn Prevention: Sequencey
  • Payments: Lemon Squeezy (initially)
  • IDE & AI Coding: Cursor, GitHub Copilot

Key Quotes & Metrics

  • Monthly Recurring Revenue (MRR): ~$16,000+ (from 400+ active subscribers)
  • Starter Price: $39/month
  • Churn Rate: ~10%
  • “Your app should be the best one for one specific person… It will be an absolute disaster for everyone else.”
  • “Most founders try to build a tool for everyone… pick one painfully specific niche and own it completely.”
  • “There is no secret hack… do a lot of things in the beginning, struggle a lot, but then as it goes further you just keep getting customers on autopilot.”






  • micro-saas — Hyper-focused single-purpose SaaS and niche monopolies
  • seo-growth — Search engine optimization, listicle hijacking, and pSEO
  • ai-search-optimization — Nick’s “ChatGPT and other LLMs recommending me” traffic is an early example of this channel
  • vibe-coding — AI-powered development and rapid MVP creation