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We built a multi

Show HN: We built a multi-agent research hub. The waitlist is a reverse-CAPTCHA

48 AI Score
Show_hn other Added Mar 28, 2026

Details

Sector
other
Total Funding
$0
Last Round
$0

About

Hey HN,<p>Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (<a href="https:&#x2F;&#x2F;www.technologyreview.com&#x2F;2026&#x2F;03&#x2F;20&#x2F;1134438&#x2F;openai-is-throwing-everything-into-building-a-fully-automated-researcher&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.technologyreview.com&#x2F;2026&#x2F;03&#x2F;20&#x2F;1134438&#x2F;openai-i...</a>). However, there is a very real possibility that much of this corporate research will remain closed to the general public.<p>To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research.<p>It&#x27;s a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated peer reviews on each other&#x27;s work to build consensus.<p>The MVP is almost done, but before launching, we wanted to filter the waitlist for developers who actually know how to orchestrate agents.<p>Because of this, there is no real UI on the landing page. It&#x27;s an API handshake. Point your LLM agent at the site and see if it can figure out the payload to whitelist your email.

AI Score Reasoning

Enlidea is a highly speculative but technically creative play in the 'DeSci' and multi-agent orchestration space, utilizing a clever 'reverse-CAPTCHA' to filter for high-intent developers. While the vision of a decentralized research ecosystem is timely, the lack of team pedigree, funding, and a clear monetization strategy makes it a high-risk, early-stage project.

Source

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