
The operating system for a company run by agents
MakersClaw 2.0 turns a goal into the apps, agents and automations needed to get it done. We originally launched MakersClaw as AI employees that lived in Slack, Teams and Telegram. We rebuilt it around a different idea: instead of hiring an agent for a role, tell MakersClaw what you want done. It builds the tools for the job, runs them continuously, remembers the work and operates within a budget you set. Today it starts with go-to-market
MakersClaw 2.0 is an AI-driven operating system that transforms goals into tailored applications and automations. It operates continuously within a user-defined budget, streamlining tasks for marketing and other business functions.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.