UserBooster is a complete playbook that helps you to launch your product and leverage online communities to get your first users and kickstart your growth.
It comes with very actionable tips to get the most out-of-the communities, with 400+ places where you can promote your startup and with a private community of makers
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Based on our record, BabyAGI should be more popular than UserBooster. It has been mentiond 9 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.
If you're interested in getting the Userbooster, go to https://userbooster.co. Source: over 1 year ago
Get it here: https://userbooster.co. Source: about 2 years ago
*It is an extract of [UserBooster](https://userbooster.co), a Notion Dashboard that helps you get your first users and build your launch strategy.*. Source: over 2 years ago
Disclaimer: I created a Notion Dashboard that helps founder build their launch strategy: UserBooster. Source: almost 3 years ago
I created a Notion Dashboard about it, it's called UserBooster and it detailed every community (Hacker News, IndieHacker, ProductHunt…) , and the strategy to get the most out of it! Source: almost 3 years ago
Define agency. Does AutoGPT or BabyAGI fit the definition? Source: 6 months ago
People also have been trying to build multi-agent and task-planning systems. MS research in Asia seems to produce decent results with Task Matrix and HuggingGPT. Similar things have been tried in the form of Auto-GPT and BabyAGI , but both projects are setting their goal so high that they may not achieve the at all, and they are likely to see a complete rework when multi-modal solutions become widespread. Source: about 1 year ago
BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp. Source: about 1 year ago
Yes, we haven't seen anything like that yet. But we do see the people trying to build these things (see AutoGPT, babyagi, ChaosGPT, etc) today, and with the last few years of advancement in LLMs they now have the fundamental building blocks to succeed in the near term (say the next 5 years) rather than in some imaginary far future. Source: about 1 year ago
You should check out some of the projects that combine LangChain with LLMs to automate this process like BabyAGI (https://github.com/yoheinakajima/babyagi) and AutoGPT (https://github.com/Significant-Gravitas/Auto-GPT). They were originally designed around ChatGPT models but have expanded to include llamacpp as an alternative. These provide your language models with the ability to save long term memory, a... Source: about 1 year ago
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