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Clone Successful Apps and Make Them 1% Better to Build SaaS Revenue
Executive overview
Samuel Rondot, a former optician with no coding background, built three SaaS apps generating $35K/month by deliberately cloning already-validated products rather than inventing new ones. His core rule: never build something that doesn't already exist and show traction. He uses a four-filter system to pick ideas, then drives growth through a sequenced stack of paid ads, SEO, faceless video channels, and affiliate programs.
Removing the need to innovate is itself a competitive strategy — simple, boring tools with proven demand outperform novel ideas most of the time.
The four-filter idea selection system
- Would use the product personally
- Clear evidence it already works (MRR screenshots, Stripe screenshots on Twitter)
- Not relying heavily on paid marketing — organic demand exists
- Simple enough to build and maintain without a complex backend
Where to find winning ideas
- Twitter/X is the primary source — communities like Solopreneur, Indie Hackers, Build in Public
- Founders sharing revenue screenshots are the strongest validation signal
- Use Ahrefs to check traffic sources: SEO + ads together signals strong demand and replicability
- Ads-only traffic is actually a green flag for speed — you can replicate that channel immediately
- SEO-only traffic is harder to replicate but still viable with patience
The three apps
- UserTerms.co — LinkedIn scraping tool, ~$15K/month, ~10,000 customers; $4K/month running costs
- StoryShort.ai — AI video generator for TikTok and YouTube, ~$20K/month, ~4,000 customers; $5K/month running costs
- Capacity.so — AI coding tool, newly launched, ~$900/month, ~50 users
StoryShort as a case study
- Found a post on Twitter showing a faceless-video automation tool with strong revenue numbers
- Validated: traffic came entirely from Facebook ads, meaning demand could be replicated in a week
- Built the MVP, launched ads immediately, grew fast
- The tool now includes a feature to auto-publish daily UGC-style videos across YouTube, TikTok, and Instagram on autopilot
Growth stack (in order)
- Paid ads first — Google or Meta depending on product; fastest way to validate and test the market
- SEO second — compounds over time, becomes nearly free traffic, adds asset value if selling the business
- Faceless YouTube/TikTok/Instagram channels — automated via StoryShort; multiple channels posting about the product daily
- Affiliate program — fixed customer acquisition cost, creates virality, drives both SEO links and YouTube reviews
Tech stack
- Next.js and Node.js for all apps
- Vercel for deployment
- Stripe for payments
- Ahrefs for SEO analysis
- Outrank.so for automated article writing and blog posting
Learning to code today
- AI coding tools can build 90% of most apps — skip the traditional learning path
- Pick a real project, screenshot a product you like, ask ChatGPT what tech to learn and how to build it step by step
- Apply each new concept immediately to the project you're building — passive courses without application don't stick
Key lessons and advice
- Build and launch an MVP in two weeks, then run ads immediately to test demand
- Skip non-essential SaaS scaffolding (password reset pages, settings screens) until traction is confirmed
- Once growth is consistent, finish the product and add features
- Automate as much as possible — article creation, social posting, distribution
- Having SEO traffic makes the business more valuable if you ever want to sell
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