Coolit

Overview

Coolit was an automated growth agent intended to handle SEO, content marketing, advertising, and customer development for existing businesses.

Current Profile

The product is presented as a discontinued experiment rather than the team’s current direction. It reportedly obtained some prepaid customers before full readiness, but sustained growth delivery proved much harder than generating websites or tools. Its internal data and API routing layer was later separated into Trigg.

Key Characteristics

• Targeted multiple growth functions through one agent system.
• Tested demand through pre-sales before full product readiness.
• Exposed the difficulty of automating dynamic channel and keyword judgment.
• Produced infrastructure reused in the later Trigg marketplace.

Evidence

Growth-automation boundary

• 新的创业机会，正在 Claude Code 和 Codex 周围长出来｜对谈 Treg contrasts easy artifact generation with difficult sustained business growth.

Infrastructure inheritance

• 新的创业机会，正在 Claude Code 和 Codex 周围长出来｜对谈 Treg identifies Coolit’s data/API relay as the basis of Trigg.

Qualifications

The source gives no customer count, refund history, growth outcome distribution, or detailed reason for every failure. The product’s limits should not be generalized into proof that all growth tasks resist automation.

What Changed

• Created the canonical entity from the first bounded source.

Relationships

• Super Design - product operated before and after the Coolit experiment.
• Trigg - later company built from Coolit’s data and API layer.
• Routine Agent Automation - narrower automation pattern supported by the experiment’s lessons.
• Human-Agent Collaboration - replacement for the attempted zero-human operating thesis.