scalerX.ai
Mava
React Complex Tree
Pagedraw - Beta release
With scalerX you can launch personalized RAG AI agents trained with your knowledge base in minutes. These AI agents are integrated directly into Telegram, including groups and channels. Awesome for education, sales, customer service and growing community engagement.
scalerX.ai
React Complex TreeNo React Complex Tree videos yet. You could help us improve this page by suggesting one.
scalerX.ai's answer
Community driven businesses, SMBs, founders with communities (channels, groups) on telegram, who want to scale and automate sales, customer service, education and more. Startups, Crypto, web3, Gaming, NFT, SaaS.
scalerX.ai's answer
As of Oct 2024, we have over 1K MAU and over 300 AI agents deployed on Telegram, growing very fast.
scalerX.ai's answer
JavaScript, Telegram, OpenAI, Java, AWS, MongoDB, JSON
scalerX.ai's answer
-You can train and personalize AI agents with your data
-Integrated with Telegram app on web, desktop, iOS, Android
-Agents can converse in solo mode, channels and groups
-Easy to use, train and deploy and no code required
-Secure with advanced access control capabilities
-Multilingual, live 24/7
scalerX.ai's answer
We were building a web3 social platform (wubits.com) and automating a lot of tasks with AI agents such as content creation, summarization and customer service. We decided to launch AI automation as a separate project (scalerX) to help others just like us to take advantage of AI-powered automation. Hence scalerX.ai was born.
scalerX.ai's answer
If you want to scale and automate you sales, customer service, education on Telegram groups, channels or solo. Launch AI assistants to scale yourself, team, community or business operations.
Based on our record, React Complex Tree seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can find the source code for it at https://github.com/lukasbach/react-complex-tree, and documentation and examples at https://rct.lukasbach.com. Source: over 3 years ago
More examples on the customizability, in-depth documentation and a typing API is available at the documentation homepage: https://rct.lukasbach.com/. Source: about 5 years ago
Mava - Customer Support for Community-Driven Companies
Pagedraw - Beta release - Compile UI Mockups to React Code