1 link tagged with all of: ai + open-source + switching-cost
Click any tag below to further narrow down your results
Links
The article shows how Cursor achieved rapid growth by forking VS Code’s open-source code, preserving every user’s settings and extensions so there’s zero switching cost. It argues that instead of forcing users to jump to a new tool, you can “inherit” their staying value by building on the exact platform they already use. This approach lets you slip in a deeper advantage where the incumbent can’t follow without breaking their ecosystem.
- Cursor forked VS Code and kept all user settings/extensions intact, hitting $100M ARR in under two years with almost no marketing spend
- The growth strategy was "inherit, don't overcome": build on the exact platform users already have so switching costs drop to zero
- Forkable open-source codebases (VS Code, Chromium, Postgres) or open APIs/plugin hooks let you legally piggyback on an incumbent's ecosystem
- The real advantage gets layered one level deeper (e.g., AI-first engine) where the original developer can't follow without breaking their own product