Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.
Category tags:Additional links:"AI startup factory — discovers problems, generates MVP plans, writes code, self-corrects in sandbox, deploys, gathers feedback, investor outreach. Tokenizes MVPs for market validation. Not a chatbot, it's a self-improving startup factory. Mind-blowing. "
Sanem Avcil
"Critical Full automation of startup creation risks low-quality MVPs without nuanced human judgment — market fit or regulatory considerations may be missed. Tokenized feedback and community prioritization could be gamed or biased, affecting which MVPs get pushed forward. Positive Extremely ambitious and original approach — turning the entire startup lifecycle into a self-improving AI loop is a bold, high-impact concept."
Mallika Rao
Engineering Leader