Devaito vs Mediator.ai

Devaito is an all-in-one AI business launcher that deploys a website, online store, mobile app, SEO infrastructure, blog, and social media automation from a single prompt — then keeps AI agents running continuously in the background to attract customers, answer support questions, and generate content. The pitch is 'launch everything, then let it work for you.' Where traditional no-code builders like Webflow or Squarespace give you a static site you have to maintain, Devaito deploys a full business stack including a sales pipeline and customer support layer, then runs agents on top of it indefinitely. The founding team is small (Symo Lahlou and two others), building with a product-led growth model. The risk is that this is a lot of surface area for a small team to maintain. But for solo founders or tiny teams trying to ship an online business without hiring, the pitch is compelling: one tool, everything running, no ongoing management required.

Mediator.ai applies LLMs and Nash bargaining theory to real-world disputes, generating agreements that both parties would accept — including solutions neither side had imagined independently. The process is private by design: each party separately describes their position, priorities, and constraints. The AI then generates multiple candidate agreements, scores each one against both parties' stated needs, and iteratively refines proposals until reaching an optimal solution. Use cases range from founder equity disputes and contractor payment conflicts to shared housing arrangements and inheritance disagreements. The system's key insight is that human negotiation is systematically bad at identifying the entire solution space — we anchor on positions, not interests. By modeling both parties' utility functions simultaneously, the AI can find Pareto-optimal outcomes that pure adversarial negotiation often misses entirely. With 159 Hacker News points, the response was genuinely enthusiastic — and the concept is hard to dismiss. Nash bargaining as a formalism has decades of academic credibility; what's new is making it accessible via natural language input. The pricing isn't published yet and the team is small, but the application domain (legal, HR, personal disputes) is enormous if they can nail trust and confidentiality.