đĄď¸ Seven Moats VCs Should Demand from AI Startâups
How to Outrun âSherlockingâ
đ¨ â What âSherlockingâ Means in the GenâAI Era
đ§ą 2. The seven ventureâgrade moats
đ 3. Diligence drill â five questions to kill thin moats
đŠ 4. Redâflag scorecard
đ 5. Conclusion â Fund assets, not features
đ¨ â What âSherlockingâ Means in the GenâAI Era
In 1998 Appleâs Sherlock search tool quietly absorbed a thirdâparty app named Watson. That one act coined the term Sherlocking: when a platform owner clones a popular addâon and leaves the startâup out in the cold.
OpenAI now does the same in software. A microâSaaS goes viral â the capability appears inside ChatGPT with zeroâfriction UX and no extra cost. Its inâchat Shopping Assistant arrived only weeks after productâdiscovery plugâins hit the store.
For founders it can sink the company; for VCs it can wipe the return. Your equity only endures if something valuable still works the morning after the clone ships.
đ¨ The Clone Is Coming
ChatGPT has Sherlocked fourteen standalone plug-ins this year. As soon as a point solution gains traction, OpenAI folds it straight into ChatGPTâno extra cost, zero friction.
Every one of these began life as a separate plug-in or micro-serviceânow folded straight into ChatGPTâs UX, at no extra cost or friction. Founders and VCs need to ask: if my entire feature set were built in-house at OpenAI, would users even notice?
In-chat Shopping Assistant (Instacart-style)
Web Browsing (âBrowse with Bingâ replacing WebPilot, etc.)
Advanced Data Analysis / Code Interpreter (formerly Python & Wolfram plug-ins)
DALL¡E Image Generation (vs third-party image-gen add-ons)
Canva-style Graphics (template-based design in-chat)
Zapier-style Workflow Automation
PDF Reader & Summariser (AskYourPDF-style)
YouTube/Video Summariser
Memory & Personalisation (third-party âmemoryâ plug-ins)
Travel Booking (Expedia/Kayak-style searching and reservation)
Restaurant Reservations (OpenTable-style)
Translation (DeepL-style high-quality language conversion)
Meeting Scheduling (Calendly-style)
Real-time News & Research (replacing niche news-feed plug-ins)