Looper
Looper is Pavel Kucherbaev's open-source product for hiring AI teammates ('loopers') that each own one business metric and work on it on a schedule. Loopers use connected business tools to research, draft and plan, while leaving sending, publishing, paying and deleting for human approval.
At a Glance
- Founders and small businesses
- Individual operators and growth teams
- Customer-support, sales and marketing teams
- SEO/content and build-in-public teams
- +2 more
AI Tools by Looper
(1)
Looper
AI Agents for Business Metrics
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Latest News
Hosted pricing and onboarding updates: Free, Individual and Team plans; onboarding can suggest a metric and create a first looper from a work email or company site.
Signup Claude credits added so new hosted accounts can run initial workflows.
Looper launched on Product Hunt as an open-source AI hire for one business metric.
The Looper repository was relicensed under MIT.
Products & Services
A hosted workspace where users hire unlimited AI loopers, connect their AI subscription or API key, connect business tools, define a metric and review work through kanban, calendar, approvals, database and weekly-retro views.
MIT-licensed open-source application that can be deployed to Vercel with Neon, or run locally with JSON-file storage; users supply their own AI provider credentials.
The coordinating AI that reads a business description, picks an initial metric, hires a looper and writes a daily brief.
Templates include SEO & GEO Grower, Customer Support and Weekly Build-in-Public Update; the site also demonstrates B2B sales outreach and Accounting loopers.
Market Position
Looper positions itself between chat assistants (such as ChatGPT and Grok), workflow automation tools (such as Zapier and n8n), and collaborative workspaces/boards (such as Notion, Trello and Miro). Its differentiator is organizing around a unit of work and a measurable metric: an AI teammate repeatedly works the metric, maintains multiple operational views and asks for approval before consequential actions. Product Hunt's alternatives page also identifies Relay.app, Trace and Lindy as relevant alternatives.
Leadership
Founders
Pavel Kucherbaev
Solo founder/maker of Looper. His background includes Data Science Manager roles at Atlassian (2022–2023) and Booking.com (2018–2021), a PhD in Human-Computer Interaction from the University of Trento/EIT Digital Doctoral School, and postdoctoral research at Delft University of Technology. He also previously founded TimeTuna and GoodLads and co-founded Codesign and Univerius.
Executive Team
Pavel Kucherbaev
Founder and maker
Former Data Science Manager at Atlassian and Booking.com; PhD in Human-Computer Interaction; previously founded TimeTuna and GoodLads.
Founding Story
Looper appears to have been started as an independent/open-source project by Pavel Kucherbaev to make AI work more like a hire than a chat assistant: each AI teammate owns one measurable business outcome, maintains its own work views and runs repeatedly, with the owner approving consequential actions. The initial product framing compares it with conversational assistants, workflow automation and human-maintained boards.
Business Model
Revenue Model
The hosted service is workspace-subscription based: Free uses the customer's ChatGPT, Grok or API key, while paid plans include Claude credits. The self-hosted MIT version is free; users pay their infrastructure and AI providers directly.
Pricing Tiers
Unlimited loopers; AI runs on the user's ChatGPT or Grok subscription or API key; includes kanban, calendar, approvals and weekly retro.
Billed monthly; includes everything in Free plus 19 Claude credits per month.
Billed monthly; includes everything in Individual, 99 Claude credits per month and unlimited collaborators via invite links.
Open source; deploy to Vercel/Neon or run locally and pay Vercel and the AI provider directly.
Target Markets
- Founders and small businesses
- Individual operators and growth teams
- Customer-support, sales and marketing teams
- SEO/content and build-in-public teams
- Accounting and operations teams
- Developers and organizations wanting to self-host an open-source AI operations platform
- Growing organic search and AI-answer visibility by improving pages and content.
- Customer-support response drafting and first-response-time improvement.
- Build-in-public and LinkedIn/social posting workflows.
- B2B sales outreach and qualified-lead generation.
- Accounting operations such as reconciling transactions and matching Stripe payouts.
- Teams that want recurring, measurable AI operations with human approval rather than autonomous side effects.