
Alphadoc is an interactive documentation platform that helps developers create engaging onboarding experiences on top of their APIs and SDKs. It allows users to explain APIs and SDKs in a single environment, keep documentation in sync, reuse content, and leverage powerful AI capabilities.

ReByte is an AI-powered platform that empowers end users to create their own tools without the need for a data science or engineering background. It leverages LLM (Large Language Model) technology to enable users to build generative AI applications and edit tools as easily as they have previously edited documents.

Your personal nutritionist, always online. PrevessAI is a science-based solution for personalized nutrition, sleep, and mental coaching. It provides tailored coaching, accurate insights, and tangible results.

BuildShip is a low-code visual platform that allows you to create powerful APIs, scheduled jobs, backend tasks, and cloud functions. It is powered by AI and enables you to connect any AI model, pre-built workflow nodes, or generate one with AI. You can also tweak the code if needed and deploy the app instantly with just one click.

Convex is a full-stack TypeScript development platform that keeps you focused on your product. Use our realtime database to build apps that are reactive by default. Integrate OpenAI into your workflows with builtin functions, scheduling, and vector search.

Mermaid Chart is a platform for collaborative text-based diagramming, powered by the Mermaid open-source project (61k GitHub Stars). It streamlines code documentation, enhances team workflows, and generates visualizations of complex ideas using AI.

Brilliant Labs is an open-source ecosystem that supports developers and creatives in reimagining the future of augmented reality (AR) through pocket-sized AR devices. The goal is to make AR beautiful, affordable, and accessible.

EntBot.ai is an AI-powered chatbot builder for websites, designed primarily for enterprise applications. It can convert website content, documents, and FAQs into numerical embeddings stored in vector databases for efficient search. Users can then query the chatbot in natural language, and it can respond with the most relevant information found, providing accurate and informative support to customers.