Nutchanon Taechasuk@quatton610

Success in business doesn't always require a brand-new idea. After all, Google wasn't the pioneer of search engines, and Facebook didn't invent social networking. The key to success lies in learning from those who've already achieved it and steering clear of the pitfalls that others have stumbled into. That's the whole idea of Revamp. We employed Cohere newest tool, Coral, to create an agent capable of retrieving real-world competitors' data and see where we stand among them. First, we look into the 4 P's in marketing (Product, Price, Place, Promotion) which uses the connector mode and then conduct a SWOT analysis based on the 4 P's result which uses the document mode. Finally, we generate "new" business ideas based on strengths, weaknesses, opportunities, and threats of our competitors. Now your idea is well-validated, and you can start working today.

Phone-call anxiety is not uncommon, and chances are that you don't want to pick up unknown phone calls too. At the same cost of regular phone calls (~$0.02/min), you can clone yourself and let it do the mundane task of picking up the calls. To be honest, having Call'em pick up awkward phone calls is undermining the true power of ElevenLabs. We (I, haha) are planning to expand the possibility of Call'em to be usable by everyone. Making a dinner reservation? Call'em. Expecting a call from your son's teacher? Call'em. Dealing a $100-million business? Well, you can still Call'em, but you can also manage the control flow, set up a customer relationship system, and direct the call to yourself as soon as you're available. Imagine customers losing their interest because you were busy in a call with another customer. Pfft, couldn't be me; I'd just Call'em.

Extracting information from a large database can be difficult, especially when you don't know what to look for. That's exactly why ChatGPT and friends were born to assist Google. However, these models are not to be used for personal data. Sometimes, you just want to know what you did last week, or last year. Sometimes, you just want to know what kind of person you were. And, sometimes you want a deep analysis on your thought and past. Here is how Memoiz works. First, you have your primary database. This is where you store all your text data. Then, you might have a secondary database. This is where you store the embeddings of your text data. (It is possible that both can be on Redis Stack) When the text data is "archived", its content will be embedded by Cohere Embed, turning into a (seemingly but not) meaningless 4096-dimension vector saved into the Redis server. When the user starts chatting with Memoiz, the chat history will determine the keywords for semantic search on the Redis server. The closest vectors will be treated as a context for the text generation prompt. The text generation prompt will then be sent to the Cohere Generate model for the chat response. In the next steps, we plan to develop a larger-scale mood tracker with a more powerful language model. We also plan to share a public API for developers to use Memoiz in their own projects.

🚀 Take your chance and build a proactive AI solution. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 💰 $22,250 prize pool for the winners! 🌉 Join us online or in person in San Francisco for an unforgettable experience! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🔐 Exclusive Access: Only 1,000 slots available for Coral model use. 💡 Spotlight Your Idea: Showcase in this limited-entry event. 💰 Win Big: Cash prizes and Cohere credits up for grabs. 🌐 Collaborate Globally: Team up with AI enthusiasts worldwide.

🤖 You have 4 weeks to build. Join in at any point! 🌐 Connect with a global tech community. 🎉 Win from a $30,000 cash prize pool. 💾 The winning agent will become the AutoGPT in the 150000 star repository! 🚀 You may continue your startup journey after the Hackathon! 🖥️ Utilize Weaviate as the vector database for your agent with open access.