Supabaseant_wilsonAnnouncement
Supabase Beta March 2023
Summary
Supabase’s March 2023 update previews Launch Week 7, an accompanying Web3 AI hackathon, and a collection of community projects and resources. It announces a Next.js OpenAI documentation-search template hosted on Vercel, combining GPT-3 text completion, a Postgres database with pgvector, and Deno Edge Functions. The update also documents the Launch Week ticket system, including an AI-fueled design and an infinite ticket scroll built with Next.js, Framer Motion, and Supabase, with separate posts covering implementation and artwork generation. It additionally promotes the SupaClub April 1 announcement, a Launch Week kickoff Twitter Space, and projects such as Markprompt, which creates embeddings from Markdown, Markdoc, and MDX files in GitHub repositories using Next.js, Vercel, OpenAI, and Supabase.
Context
The update is presented during a period of active shipping ahead of Launch Week 7, alongside an async Web3 AI hackathon and community activities. It also describes the Launch Week ticket system as an essential part of the experience that is designed to make each experience unique.
Approach / What changed
The update releases a Next.js documentation-search template using Vercel, OpenAI GPT-3 text completion, Postgres with pgvector, and Deno Edge Functions. It documents an AI-fueled ticket design and infinite scrolling implemented with Next.js, Framer Motion, and Supabase, and shares related community-built projects and resources.
Takeaways
The documentation-search template combines Next.js, Vercel, OpenAI GPT-3 text completion, Postgres with pgvector, and Deno Edge Functions.
The Launch Week ticket experience uses AI-generated artwork and an infinite scroll of tickets, with implementation documented in two blog posts.
Markprompt scans Markdown, Markdoc, and MDX files in a GitHub repository and creates embeddings for building GPT-powered prompts.
Source and freshness
- Source
- supabase.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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