Nikita | Scaling Postgres

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Nikita | Scaling Postgres

Nikita | Scaling Postgres

@nikitabase

CEO @neondatabase. Best Postgres for developers and vibe coders.

San Francisco, CA Katılım Haziran 2010
2.2K Takip Edilen12.5K Takipçiler
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Nikita | Scaling Postgres
Nikita | Scaling Postgres@nikitabase·
Database architecture thread. Technical. There has been several startups building an operational relational databases focused on OLTP with a shared nothing architecture. @neondatabase is using a different approach - shared storage. What's the difference?
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Nikita | Scaling Postgres
@myprasanna is builder. Excited to see him begin this journey!
Prasanna S@myprasanna

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 🧵👇

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Nikita | Scaling Postgres retweetledi
Matt Shumer
Matt Shumer@mattshumer_·
Vorflux is the single best coding agent I've ever used. It blows Devin out of the water. It's not even remotely close. (and yes, I invested immediately after trying it). This is going to be a >$100B company.
Prasanna S@myprasanna

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 🧵👇

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Nikita | Scaling Postgres retweetledi
Prasanna S
Prasanna S@myprasanna·
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 🧵👇
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Nikita | Scaling Postgres retweetledi
Neon Postgres
Neon Postgres@neondatabase·
One SDK to manage to all Neon services 𝚗𝚙𝚖 𝚒 @𝚗𝚎𝚘𝚗/𝚜𝚍𝚔
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Nikita | Scaling Postgres retweetledi
Deepak Modi
Deepak Modi@deepakmodidev·
if there's one product with a developer experience that comes close to Vercel, it's Neon @neondatabase Postgres, Auth, pgvector, branching, instant databases, scale to zero. everything built into one platform. it feels like the Vercel of databases.
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Hari Prasad
Hari Prasad@hari__prasadd·
Neon DB has surprisingly improved speed & uptime since its acquisition by Databricks. Any reason in particular? @nikitabase
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Anthony Giuliano
Anthony Giuliano@ant_giuliano·
Quick tip: Use ⌘+K to open up the command palette in the Neon console. Makes moving around the console so much easier.
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Matei Zaharia
Matei Zaharia@matei_zaharia·
We benchmarked coding agents on our own internal tasks at Databricks and learned a lot! There are many surprising opportunities to lower cost and increase quality, and many models including open source ones are truly competitive now. 🧵
Matei Zaharia tweet media
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Evan Goldschmidt
Evan Goldschmidt@evangoldschmidt·
on the other hand the neon dev experience is amazing - on every new @conductor_build worktree we automatically create a realtime fork of the prod db & spin up all services (api, admin, web, worker, livekit agent, etc) to run against it portless gives each an easy hostname. our local dashboard gives one click access to everything & makes it easy to point the @tolanworld mac app against a specific worktree's api server
Evan Goldschmidt tweet media
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Nikita | Scaling Postgres
Nikita | Scaling Postgres@nikitabase·
The copies are everywhere of course. And we can calm it write amplification. The only ground truth is WAL. The important bit is that when you design your storage you can choose your data representation and you can make it usable for other systems. If it’s all part of your storage you can guarantee consistency and don’t leave as exercise for the user. Our design offers both low write amplification, high performance and access to older data in parquet. This is what makes it quite special
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Jack Vanlightly
Jack Vanlightly@vanlightly·
What's with the obsession with "a single copy" of the data? With LTAP, it might store one durable copy of the data (WAL keepers + Parquet on S3), but pageservers also maintain a copy. Sure, its cached, but it's still a copy. I don't want to think about the cost of serving a Postgres read from Parquet. You can size the Postgres instance keep more data locally, to avoid a local cache miss, so then you have another cached copy. Plus, "single copy" but with time travel? There are in fact multiple copies of the data to service time travel. Also, CDC? The change feed is a copy. Copies are everywhere!
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Nikita | Scaling Postgres
Nikita | Scaling Postgres@nikitabase·
Anyone from anywhere can do anything - sounds about right! Happy birthday greatest country on earth!
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Neon Postgres
Neon Postgres@neondatabase·
We're making Lakebase Search available on Neon: hybrid vector + full-text search built for agents that need retrieval in their operational loop. No separate systems. Same database. Optimized for Neon's storage-compute architecture. Full technical writeup 👇 neon.com/blog/lakebase-…
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