Twinly Lab
Build a face-to-face AI version of yourself, trained on your knowledge.
AI & Machine Learning·Productivity·Communication
About
Twinly Lab is an AI-powered platform designed for coaches, creators, and experts to build a face-to-face AI twin trained on their own knowledge. Users can upload documents, notes, courses, videos, and audio to create an interactive video avatar that speaks, thinks, and answers like them, allowing followers to have real-time conversations 24/7.
It is built for influencers, fitness and business coaches, and course creators who want to scale their presence beyond what is humanly possible. By sharing a single link in a bio, pinned comment, story, or DM, creators provide an accessible point of contact for their audience.
What makes Twinly Lab different is its integration of live video consultations combined with direct monetization. Creators set their own per-session prices and earn revenue through Stripe Connect when fans complete face-to-face video sessions, enabling monetization around the clock.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
they built a product that did very accurate gate tracking for riders... they used that one tool as a way to basically aggregate all of these equestrians in the world and then went deeper into their workflow... a safety tracking feature where basically when you turn that on if there's impact someone that you select is notified
Wedge Deep Before Expanding — Equilab Went From Gait Tracking to Safety Alerts to Community
Start with one precise problem, get people to depend on it, then deepen into adjacent pain points within the same workflow — not copy what competitors do in other categories. Equilab's gait tracking gave them the equestrian audience; safety alerts made the app part of relationships; community tied users to a specific barn. Each step made the product stickier without changing the target user.
the people who are gonna be willing to pay that 60 80 100 200 lifetime are the ones who are actually going to use your product for years and years and years... your best users... the average retention of that lifetime user is actually going to be way longer
Lifetime Offer Buyers Self-Select As Power Users — Their Real LTV Exceeds Average Churn Math
Average LTV calculations miss that buyers of lifetime offers skew toward power users who would have subscribed for 5-10+ years anyway. At typical 50% annual churn, average LTV implies 2 years of revenue — but lifetime purchasers are self-selected to be in the long tail. Astropad never offered lifetime plans, but Matt found this argument compelling enough to reconsider his strong initial stance against them.
There's a play for whatever you're stuck on.
Read all 2722 playbooks