What it does
- Answers product, growth, and startup questions from Lenny's work.
- Helps readers navigate a large archive without manual searching.
- Creates a more interactive relationship with newsletter IP.
Creator AI examples
Product and startup advice
Lenny Rachitsky built an AI product around trust.
Lennybot turns a trusted product-management archive into a fast advisor for startup and growth questions.
Product
Lennybot
Public pricing
Sign-in based access
Audience signal
1M+ subscribers
Traction signal
Built from one of the most trusted product newsletters.
Why this matters
The play is not the bot. The play is a new product surface.
Lenny's archive is deep, practical, and highly referenced. A bot makes that expertise easier to retrieve when a founder or PM is making a live decision.
For creators, this is powerful because it turns archived trust into active value. The audience does not only watch, listen, or read. They can ask, compare, decide, and buy with your thinking beside them.
How it can monetize
- AI can make a newsletter more defensible and useful.
- It increases the utility of paid or registered access.
- It gives readers another reason to associate the creator with decisions at work.
Smaller creator takeaway
You can use the same strategy before you are famous.
A niche expert with a focused library can build the same advantage. Your audience does not need everything; they need your best answer faster.
Disclosure: Twinly does not directly work with Lenny Rachitsky. This page uses their public AI product as an example of an established creator monetizing an AI version of their expertise. No affiliation, sponsorship, or endorsement is implied.
A note from the founder
Stop being the bottleneck.
If you've scrolled this far, you're either skeptical or sold. Both are fine.
Here's what I've learned after a year of building this: most creators don't need another abstract AI pitch. They need to feel what their own twin could do with the content they've already put into the world.
That's why, for a limited time, we're doing the first step before the call. Send the public links, we build the rough MVP, and you try the worst version it will ever be.
If that rough version already feels useful, the path becomes obvious: we create the 10x version, tune voice and refusals, plan the launch, connect the right platforms, and turn it into something your audience can actually buy and use.
This quarter: 4 of 8 client spots are already claimed. If it looks like a fit, we'll prepare your first version before the demo so the call is about your actual twin.
Either way, I appreciate you reading.
Borja