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, Ollama should be more popular than UserBooster. It has been mentiond 30 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
To support the exploration, I've developed a simple Retrieval Augmented Generation (RAG) workflow that works completely locally on the laptop for free. If you're interested, you can find the code itself here. Basically, I've used Testcontainers to create a Postgres database container with the pgvector extension to store text embeddings and an open source LLM with which I send requests to: Meta's llama3 through... - Source: dev.to / 2 days ago
Note: Before proceeding further you need to download and run Ollama, you can do so by clicking here. - Source: dev.to / 4 days ago
Nowadays, running powerful LLMs locally is ridiculously easy when using tools such as ollama. Just follow the installation instructions for your #OS. From now on, we'll assume using bash on Ubuntu. - Source: dev.to / 15 days ago
I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box. - Source: dev.to / 20 days ago
Ollama is an open-source tool for using LLMs like Llama 3 on your computer. Thanks to new research, these models don't need a lot of VRAM, computing power, or storage. They are designed to work well on laptops. - Source: dev.to / about 1 month ago
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