Building AI, no-code SaaS, and NFT businesses in the new era

Executive overview

Most people chasing drop shipping, SMMA, or Amazon FBA are entering saturated markets with entrenched competitors. Three emerging categories — AI software, no-code SaaS, and Web3/NFT services — are still wide open.

The highest-leverage play is building B2B AI tools for a specific industry you already understand, then selling them as a recurring service. No-code platforms remove the coding barrier, and NFTs solve an emerging authentication problem that AI deepfakes are making urgent.

The window to get ahead of mass adoption is now — wait until these become popular and you are already too late.

Why legacy business models are losing their edge

• Drop shipping, SMMA, and Amazon FBA have been mainstream for nearly a decade
• Early entrants hold compounding advantages: tools, relationships, brand, capital
• Starting today means competing against five-plus years of accumulated advantage
• The smarter move: enter categories where the clock just started

Building B2B AI tools for your industry

• Every business can benefit from AI, but almost none know how to implement it
• The opportunity is not generic AI products — it is solving specific problems in industries you know
• Example: four AI touchpoints built for a real estate sales team — call transcription, follow-up emails, regulation recall via custom AI copilot
• Industry insiders can identify the exact friction points; outsiders cannot
• Selling this B2B as a service, not a one-off product, unlocks recurring revenue at scale
• Software is high-leverage: build once, sell indefinitely — unlike service businesses that trade time for money

No-code SaaS with Bubble

• Bubble is a no-code platform for building web apps and SaaS products without writing code
• Analogous to Shopify for e-commerce, but for software companies
• A working AI homework tool was built in three days using Bubble and a template
• Low barrier enables a rapid test-and-iterate approach: build a new tool weekly, go all-in on whichever gains traction
• Tweet Hunter followed this model and exited for $2 million after 15 months
• No-code removes the main historic objection to starting a software company: developer cost

NFTs as an authentication layer for AI-generated content

• AI deepfakes are already being used fraudulently — fake Joe Rogan and Andrew Huberman ads appeared on Facebook selling supplements
• As synthetic media becomes indistinguishable from real content, digital provenance becomes critical
• NFTs create verifiable ownership of digital assets and can authenticate that content came from its real creator
• Major brands already building on this: Spotify, Instagram, Nike, Starbucks; South Korea is putting driver's licences on the blockchain
• Large companies take early technology risks to stay ahead of competitors — SMBs follow once effectiveness is proven
• This mirrors the SMMA wave: big brands ran Facebook ads first, then SMBs needed agencies to help them — creating a skills arbitrage opportunity

The broader framework for picking a business

• Two criteria: high leverage (sell once, scale without proportional effort) and large market
• AI software in a multi-billion-dollar industry meets both
• Web3 agency work meets both — every asset class can become an NFT, market is global
• Learn the technology before it goes mainstream; by the time it is obvious, the opportunity is gone
• The internet analogy: companies that missed early web adoption were already behind by the time they caught up