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Splat — LLM chat on a graph
A graph-native AI chat. Control context. Explore in parallel
Splat is a graph-native AI chat client. Every prompt and response is a card on an infinite canvas — branch anywhere, and choose exactly which cards each new prompt sees as context. Upload images and documents, use your favorite LLMs, create skills, and easily visualize your thought process.
Hey gang! 👋
I built Splat because I got frustrated with the linear nature of LLM chat.
When I'm researching something, I want to explore multiple threads in parallel without polluting my context with unrelated prompts. Traditional chat forces you to either keep every tangent in context or lose it entirely. Not to mention, it's hard to scroll through to find what you're looking for.
This is a very rough v0 that I originally hacked together for friends. It's definitely rough around the edges, but I wanted to put it in front of people early and find out whether this interaction model actually resonates.
I'd love any feedback.
About Splat — LLM chat on a graph on Product Hunt
“A graph-native AI chat. Control context. Explore in parallel”
Splat — LLM chat on a graph was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #64 on the daily leaderboard. Splat is a graph-native AI chat client. Every prompt and response is a card on an infinite canvas — branch anywhere, and choose exactly which cards each new prompt sees as context. Upload images and documents, use your favorite LLMs, create skills, and easily visualize your thought process.
On the analytics side, Splat — LLM chat on a graph competes within Productivity and GitHub — topics that collectively have 699.5k followers on Product Hunt. The dashboard above tracks how Splat — LLM chat on a graph performed against the three products that launched closest to it on the same day.
Who hunted Splat — LLM chat on a graph?
Splat — LLM chat on a graph was hunted by Alex Korman. 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.
For a complete overview of Splat — LLM chat on a graph including community comment highlights and product details, visit the product overview.
Alex Korman