[benlm]

We built Jumprun. You can use it to research and analyze data sources, and it'll produce beautiful canvases with tables, charts, videos, maps, etc. We're working on automations so you can setup natural language trigger conditions that execute actions.

We built it in Kotlin with Ktor server, htmx and tailwind. It uses a mixture of models, including gpt4-turbo, gpt4-vision and gemini-pro-vision. It's deployed using Kamal on bare metal.

Example canvas that provides a roundup of Apple Vision Pro reviews: https://jumprun.ai/share/canvas/01HNXB2K3GM7KPRP45Y2CVVJSC

Our learn more page with some screenshots to show creating a canvas: https://jumprun.ai/learn-more

It's a free closed beta at the moment to control costs, but let me know if you'd like an invite.

[The5thElephant]

Cool! I like the "intelligent canvas" concept. Not exactly the same but my brother and I have been building a side project that also is all about making the most of a set of information using different views like maps, calendars, tables, etc. We have been looking into adding AI to make it easier to import data without having to manually tag all the data. https://visible.page