HarveyLegal AI
Landed one flagship firm — Allen & Overy and its 3,500 lawyers — and let it legitimize them across all of BigLaw.
40,000 queries in beta
Lesson: one anchor partner beats a broad launch.
ArveLabs is a studio OS — ten AI specialists that learn your apps, run your growth and distribution, and compound every week. Not advice. Execution.
Onboard in 10 minutes · your studio runs the rest
The real problem
~99% of founders say growth & distribution is their #1 problem. 72% say distribution, not product, decided the outcome.
What ArveLabs is
You onboard once. ArveLabs builds the growth playbook for every app in your portfolio, then its ten agents run it — and keep learning.
Distribution is the current moat. ArveLabs leads there, then runs the rest.
Why distribution
The product got them in the room. Distribution made them inevitable.
Landed one flagship firm — Allen & Overy and its 3,500 lawyers — and let it legitimize them across all of BigLaw.
Lesson: one anchor partner beats a broad launch.
Built answers with citations that begged to be shared on X and Reddit, so every post acquired new users for free.
Lesson: bake distribution into the product.
Invented a new role — the "GTM Engineer" — and became its default stack. Every new hire became a distribution node.
Lesson: create identity, create demand.
Built in public, posting revenue and DAU milestones constantly, so there was always something new to share.
Lesson: building in public is a distribution engine.
How it works
It learns each app — stage, brand, voice, connectors — in ten minutes.
It builds the growth plan a great operator would run for every app you own.
Agents write, post, distribute, and engage — every action a draft until you approve.
It tracks what works, doubles down, writes it to memory, and reports back.
“I run a portfolio of apps solo. I’ve watched good products die in silence — not from bad ideas, but from no distribution. So I’m building the studio I wish every founder had.”
Ogulcan · building ArveLabs in public
Questions
Jasper is a content tool. Lindy hands you a canvas to build your own agents. ArveLabs is the operator: it decides what to do, when, and why — then runs it across your whole portfolio. You don’t design agents or write prompts. You approve a playbook and it executes.
Not until you trust it. Early on, everything is review-before-publish — every action is a draft until you approve. You unlock autonomy at your own pace, one channel at a time.
Where attention and installs actually live: the App Store and Google Play, short-form on Instagram, TikTok and X, plus Reddit and search. One idea gets repurposed across every surface, per app.
That’s the point. During onboarding it reads each app’s existing content and brand to learn the voice, stage, and goals, then writes in that tone. Never a generic AI voice.
It’s built for exactly that. Each app is isolated with its own connectors, data, and memory — the same ten agents run all of them in parallel without cross-wiring.
Early access
Answer a few quick questions and claim your spot — a taste of how ArveLabs onboards you.