Similar to traditional code notebooks like Jupyter Notebooks, but with a seamless integration with large-language models. Code when you want, skip when you don't. Export notebooks for portability.
Hello folks! An idea recently struck me and I wanted to try it out. LLMs today are great with dealing with data and understanding natural instructions. What if I could combine them in a code notebook? A notebook where you can code as well as write LLM prompts that operate on the same set of data - a seamless transition between regular coding and natural language instructions. Code when you want the power of text-based code, offload it to LLMs when you don't feel like it! Try Slate here: https://try-slate.com.
Let me know your feedback and thoughts!
Seamless integration of large-language models, this notebook offers flexibility like never before. Code on your terms and export for easy sharing—simplicity and power combined.
Congrats on your launch Product
Hey, congrats! 🔥 How does Slate differentiate itself from traditional code notebooks like Jupyter Notebooks? Best regards!
This is a great idea. I've spent so much time changing prompts in the local version of my app, when really it'd be far quicker and easier to use a notebok like this. Congrats on the launch!
Hello there! If you like reading written posts, I also noted down my thoughts in this post: https://mohitkarekar.com/posts/2...
Have fun using and reading!
About Slate on Product Hunt
“A playground for ideas - LLM prompts in code notebooks”
Slate launched on Product Hunt on March 25th, 2024 and earned 92 upvotes and 5 comments, placing #25 on the daily leaderboard. Similar to traditional code notebooks like Jupyter Notebooks, but with a seamless integration with large-language models. Code when you want, skip when you don't. Export notebooks for portability.
Slate was featured in Artificial Intelligence (466.8k followers), No-Code (5.6k followers) and Data Science (3.8k followers) on Product Hunt. Together, these topics include over 93.5k products, making this a competitive space to launch in.
Who hunted Slate?
Slate was hunted by Mohit Karekar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Mohit Karekar