Neon @neondatabase
Backend for apps and agents built on Lakebase Postgres Free Plan: https://t.co/2oFkBiuLiV neon.com Databricks Joined February 2022-
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Be in SF Oct 4 Win the personal agents hackathon Get $156k in AI and Compute credits ??? Profit
Another agent platform built on Neon: @getskydive. Its specialized agents provision their own isolated Neon backends mid-task in 0.7 seconds on average, no human in the path Full story: neon.com/blog/inside-sk…
Restores in Lakebase Postgres are branch-based, not the traditional OLTP route of copying and replaying. We break it down: neon.com/blog/inside-br…
A big advantage of the lakebase architecture: restoring 100 TB takes the same time as restoring 10 GB (seconds) and it's so simple that an agent can do it.
Neon retweeted
I’m very excited about this. Coming next to the Neon backend: realtime. Sync is incredibly hard to get right - especially if the goal is to make it great to work with, support as many database query use cases as possible, and scale well. Sync coming to Neon was probably obvious to many after our announcement that the Electric team is joining Databricks but we can finally announce it officially today! The Electric team is building sync for Neon. I asked @thruflo about joining Databricks and their first few weeks at the company: neon.com/blog/electrify…
This is the second Function Trigger type available so far, after schedules for cron jobs. More to come: neon.com/blog/when-a-fi…
Just shipped: you can now trigger Neon Functions on file uploads in Neon Object Storage. There are so many ways to use this: keep track of your files in Postgres, add thumbnails, alt text, embeddings
Also new on Neon Functions: we now support custom domains
We just shipped Function Triggers, branch-scoped definitions that tell Neon when to invoke a deployed function. First type is cron schedules compatible with scale to zero: neon.com/blog/your-neon…
The Neon backend is GA. A complete set of primitives for apps and agents built around the database, with open standards, no lock-in, and branching-first by design. Starting with: Lakebase Postgres, Object Storage, Functions, Managed Better Auth, and AI Gateway. More to come.
Neon retweeted
AI slop isn't a model problem, it's a primitives problem
Tools that provision a backend per tenant (like LuBot) can be built faster and cheaper with branching and scale to zero. In the founder’s words: a quarter of work, done in six days. Full user story: neon.com/blog/inside-lu…
Neon retweeted
A coding agent can create a real Postgres database with no signup. You claim the project into your own account later. @Chantastic and @neondatabase's @andrelandgraf walk through the full flow, including how agents discover it through 𝐚𝐮𝐭𝐡.𝐦𝐝. Read more: workos.com/blog/neon-clai…
Neon retweeted
I rebuilt this demo of 2M+ Goodreads books to be surprisingly fast without any Next.js cache (no unstable_cache, no ISR, no route caching) or instant navigation: drp.li/neon-books Every request hits Postgres live and still averages two-digit ms with a pile of filters ANDed together (year range, min rating, language, page count, title search). What actually made it fast is all at the @neondatabase layer: - Neon's serverless driver over HTTP - Vercel functions in the same region as the Neon compute - Lakebase BM25 search over a generated `tsvector` column for relevance-ranked title matching - pg_prewarm to pull the hot index into shared buffers after a cold start Just Postgres doing Postgres things, close to the compute. Boring works!
I rebuilt an older Vercel book search demo with Next.js 16.3 Instant Navigations: next-books.dev Instant Navigations lets server-rendered routes respond immediately when you click, even on a throttled connection: 𝚌𝚘𝚗𝚜𝚝 𝚗𝚎𝚡𝚝𝙲𝚘𝚗𝚏𝚒𝚐 = {
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