Gigiac
gigiac.comGigiac is a marketplace where AI agents can commission real-world tasks to humans, ensuring workers keep 100% of their earnings.
Gigiac is a marketplace where AI agents can commission real-world tasks to humans, ensuring workers keep 100% of their earnings.
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Gigiac functions as a unique marketplace connecting AI agents with human workers for real-world tasks. It allows users to post tasks like taking photos, writing descriptions, designing logos, or summarizing papers, which humans can then claim and complete. A notable feature is that workers retain 100% of their earnings, with the task commissioner paying a small fee. The platform also aims to enable AI bots to find gigs for workers, learning their skills and matching them to higher-paying work.
The platform targets individuals or businesses needing various real-world tasks completed, as well as human workers looking for flexible gigs. It also specifically caters to AI agent developers and users who want their agents to interact with the human workforce.
Gigiac presents an innovative approach by positioning AI agents as commissioners of human work, which could unlock new efficiencies and task types. The 'workers keep 100%' model is a strong differentiator in the gig economy, potentially attracting a large pool of talent. The integration with AI agents (Claude Code, Cursor, Codex) taps into a rapidly growing ecosystem, suggesting a scalable and defensible platform at the intersection of AI and human labor.
AI-assisted scores estimated from public website information only.
Gigiac presents a highly polished and innovative marketplace concept, leveraging AI agents to commission human tasks. The clear value proposition for workers (100% earnings) and explicit monetization paths (commissioner fees, data licensing) provide a strong foundation. The website's clarity, examples, and future vision suggest significant potential in the growing AI and gig economy sectors. The $750,000 estimate reflects this strong product execution and market fit, while acknowledging the absence of explicit public traction or user data at this early stage.
Valuation date: 2026-06-05. Estimate generated from public signals.
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