---
title: "Neon"
description: "2 posts about Neon, summarised, each linking to the original."
---

# Neon
> 2 posts about Neon, summarised, each linking to the original.

## Articles

### [Announcing the new Databricks Startup Program](https://yomu.fyi/post/announcing-the-new-databricks-startup-program.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Brad Van Vugt, Arjun Rajeswaran
- Published: Jun 16, 2026

The Databricks Startup Program has been updated for venture-backed, early-stage startups building with data and AI. Qualifying companies can receive up to $200,000 in credits across Databricks and Neon, along with hands-on technical guidance, partner and community access, and connections to go-to-market teams and founder communities. The program is aimed especially at startups that recently raised institutional funding from pre-seed through Series A, and it is intended to provide an app backend, data, and AI stack from idea through product-market fit. Databricks and Neon are presented as providing a database and access to foundation models on day one, while Databricks supplies analytics, data warehousing, AI systems, and enterprise-grade governance as companies launch. Applications are available through the Databricks Startup Program.


### [Databricks and Stripe projects: Infrastructure built for agents](https://yomu.fyi/post/databricks-and-stripe-projects-infrastructure-built-for-agents.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Brad Van Vugt, Guillaume Rivals
- Published: Apr 29, 2026

The post announces Databricks as a launch partner for Stripe Projects, an agent-first CLI that lets AI agents discover, provision, and pay for Neon databases without human interaction. It addresses the manual work still required to provision services, navigate interfaces, configure accounts, and enter payment details, which can slow autonomous app development. With Lakebase architecture, Neon can provide production-ready Postgres in under 350ms, while decoupled compute and storage support rapid creation and teardown of OLTP databases. Serverless scaling adjusts compute to traffic and can scale to zero, while zero-copy branching creates isolated production-data branches for testing, migrations, and prompt experiments without risking the primary environment. The post also notes Databricks’ Stripe Data Pipeline is available in the Databricks Marketplace for analyzing Stripe data without ETL.