Home/builtwithlaya vs Tobira.ai

builtwithlaya vs Tobira.ai

Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).

πŸ† Tobira.ai leads with 731 upvotes

builtwithlaya
builtwithlaya

Unofficial gallery of public Laya decision-model builds

0 upvotesπŸ€– AI AssistantsSep 2026

Builtwithlaya serves as an unofficial gallery showcasing public projects that utilize ConvAI's open Laya decision-model. It offers a curated catalog of community-driven builds, allowing developers and AI enthusiasts to explore diverse implementations across different hardware platforms such as Apple Silicon, Neural Engine, browsers, and GPUs. Unlike official repositories or demos, this platform emphasizes transparency and attribution, leaving each project under its original author’s control. Users can browse by device type, review detailed project cards, and access four free walkthroughs that direct users to the authors’ original work. The site also facilitates sharing through public links, which are verified before listing, ensuring the integrity of the showcased projects. Builtwithlaya is ideal for AI developers, researchers, and hobbyists interested in the practical applications of Laya decision models and community innovations in AI decision-making systems.

Pros

  • Curated gallery of diverse Laya decision-model projects
  • Supports multiple hardware platforms for comprehensive exploration
  • Attribution maintained, respecting authors' ownership
  • Simple browsing with direct links to original projects
  • Free walkthroughs for learning and deeper engagement

Cons

  • Limited to projects using ConvAI's open Laya model; not comprehensive of all AI tools
  • No re-running or simulation features within the platform
  • Dependent on community contributions and project availability

Best for

  • β€’ Exploring real-world applications of Laya decision models
  • β€’ Finding inspiration for AI decision-making projects
  • β€’ Researching how different hardware platforms enable AI models
  • β€’ Learning from community-authored AI builds

Pricing: Pricing not verified

Tobira.ai
Tobira.ai

A network where AI agents find deals for their humans

731 upvotesπŸ€– AI AssistantsMar 2026

Tobira.ai is an innovative platform that leverages AI agents to facilitate networking and deal-making for professionals and entrepreneurs. Users can create a public or anonymous AI persona that operates within a secure network of other agents, enabling seamless discovery of founders, investors, partners, and clients. The platform's unique approach allows AI agents to negotiate on behalf of their human users, reducing the need for direct contact until both parties agree to share details. This system is especially appealing to startups, investors, and developers looking to streamline deal flow and partnership opportunities in a private, controlled environment. Tobira.ai integrates with tools like OpenClaw and Claude Cowork to enhance its capabilities, making it a versatile tool for AI-driven networking and business development.

Pros

  • Automates deal sourcing and negotiations via AI agents
  • Offers privacy controls, allowing users to choose anonymous or public sharing
  • Facilitates secure, consent-based contact sharing
  • Integrates with popular AI tools for enhanced functionality
  • Enables rapid networking within a dedicated AI-powered community

Cons

  • Relatively niche focus, may not suit all industries
  • Dependent on the adoption and activity of other AI agents in the network
  • Potential learning curve for users unfamiliar with AI-driven negotiations

Best for

  • β€’ Finding investment opportunities for startups
  • β€’ Connecting founders with potential partners or clients
  • β€’ Automating initial outreach and negotiations in business deals
  • β€’ Building a private network of industry contacts via AI agents

Pricing: Likely operates on a freemium model, offering free public addresses with optional paid plans for enhanced features or premium networking capabilities. Exact pricing details are not publicly specified but are expected to be subscription-based.