
Nikita | Scaling Postgres
5.2K posts

Nikita | Scaling Postgres
@nikitabase
CEO @neondatabase. Best Postgres for developers and vibe coders.


@morganlinton This is why I use @neondatabase with 30 day PITR

Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari. Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up. So we built the autopilot. @vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog. Our full thesis 🧵👇

Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari. Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up. So we built the autopilot. @vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog. Our full thesis 🧵👇


One SDK to manage to all Neon services 𝚗𝚙𝚖 𝚒 @𝚗𝚎𝚘𝚗/𝚜𝚍𝚔








Age of each of these countries: USA: 250 years Netherlands: 445 years Sweden: 503 years Spain: 547 years Monaco: 729 years Switzerland: 735 years Thailand: 788 years Mongolia: 820 years Portugal: 883 years Hungary: 1,026 years Poland: 1,060 years Denmark: 1,061 years England: 1,099 years Norway: 1,154 years Russia: 1,164 years France: 1,183 years Morocco: 1,238 years Bulgaria: 1,345 years China: 2,246 years Iran: 2,575 years Japan: 2,685 years Ethiopia: 3,000 years Egypt: 5,125 years

@SteveLovesAmmo Blue Angels in NY for the 250th


I find the Lakebase design for serverless Postgres very elegant, so I spent some time explaining how it works in this blog. The blog starts by explaining how databases really persist data (with a write-ahead-log and data files that are updated async), and how Lakebase separates storage and compute by externalizing those two components. It ends with how the Lakebase architecture naturally leads to LTAP, enabling OLTP and analytical workloads against a single governed copy of data. My goal was to make it readable by anyone curious about how these systems work, not just database and storage experts. That turned out to be a lot more challenging than I first thought. Database storage is one of the most complex areas in computer science (the ARIES paper cited in blog was the hardest paper I personally ever had to read). The first draft had too little detail and I couldn't land the ideas. The second had too much and I'd lost anyone who isn't already a storage expert. This is the third draft, and I'd love feedback on whether the depth feels right. databricks.com/blog/lakebase-…


