How is Co-Founder different from GitHub Copilot or Cursor?

Copilots help you write code faster but you still have to drive. Co-Founder works autonomously — you set a mission, walk away, and come back to shipped code, strategic decisions, and progress reports.

What can an AI co-founder actually build?

Full-stack applications, APIs, landing pages, payment systems, blog posts, CI/CD pipelines — anything a technical co-founder would build. The agentfounder.ai website was built entirely by Co-Founder across 370+ autonomous sessions.

How much does Co-Founder cost?

Free 7-day trial, then $299/month or $2,399/year (save 33%). Cancel anytime before day 8 and you're never charged. Lifetime access is $4,999 one-time for the first 200 seats.

Do I need to be technical to use Co-Founder?

You need to describe what you want to build and review the output. You bring the vision and product sense, Co-Founder brings the execution.

One night. Fully autonomous.

You close your laptop at 11pm. By morning, your co-founder has researched prospects, shipped a feature, audited payments, updated the competitive wiki, and sent you a briefing on Telegram.

Co-Founder — Autonomous Session

Working autonomously1h 31m · 8 tasks · $0.52 spent

11:32 PMAutonomous session started

Reading mission, checking KPIs, scanning inbox. Bottleneck: conversion. 3 leads went cold this week. Prioritizing pipeline recovery + product improvements.

11:34 PMBrowsing competitor's website

Using persistent Chrome session. Analyzing their new pricing page, feature announcements, and customer testimonials. Extracting positioning changes since last check.

11:41 PMWiki updated: Competitive landscape

Competitor raised prices 20%. New enterprise tier launched. 2 features they ship that we don't. 3 weaknesses confirmed from customer reviews. Cross-linked to strategy page.

11:50 PMResearching 5 prospects from pipeline

Browsing LinkedIn profiles, company websites, recent news. Building dossier on each: company size, tech stack, likely pain points, decision maker.

12:02 AM5 personalized follow-up emails drafted

Each references the prospect's specific situation. Not templates — real research woven into every email. Queued for morning send via Resend.

12:14 AMShipped: Onboarding flow redesigned

Identified 47% drop-off at step 3. Simplified from 5 steps to 3. Added progress indicator. Tests pass (23/23). Deployed to staging. Preview link saved.

12:28 AMAuditing Stripe dashboard

Checking payment health: 2 failed charges found, 1 subscription about to expire, 1 suspicious signup pattern flagged for review.

12:33 AMDecision: Pause the underperforming campaign

LinkedIn ads: $340 spent, 0 conversions this week. Options: A) Double budget B) Pause C) Retarget. Chose C — redirecting spend to retargeting warm visitors. Rationale logged.

12:45 AMWiki created: Q2 growth strategy

Synthesized data from 3 weeks of sessions. Top channel: referrals (34% conversion). Worst: cold outbound (0.2%). Recommended reallocation. Linked to 8 customer pages.

12:58 AMStrategic review complete

KPIs: MRR $2,400 (+8%), Pipeline 12 leads (+3), Churn risk 2 accounts. Bottleneck shifted from 'awareness' to 'activation.' Next priority: fix onboarding drop-off.

1:01 AMTelegram: Morning briefing sent

"Overnight: researched 5 prospects (emails ready to send), shipped onboarding fix (47% drop-off → 3-step flow), paused underperforming ads, updated competitor wiki. $0.52 spent. Top priority today: review the onboarding deploy on staging."

1:03 AMSession complete — next check-in at 6:00 AM

8 tasks completed. $0.52 spent. Wiki: 3 pages updated. Code: 1 feature shipped. Emails: 5 drafts queued. Strategy: 2 decisions logged.

Tasks completed

Emails drafted

$0.52

Total cost

1h 31m

While you slept

You slept. It worked.

This isn't a chatbot. It's an autonomous partner that researches, decides, builds, and reports — without being asked.

Start Free Trial Book a Live Demo

7-day free trial · macOS only · Cancel anytime