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Rivestack – Managed PostgreSQL with pgvector, $29/mo

Rivestack – Managed PostgreSQL with pgvector, $29/mo

by stranger90·Feb 16, 2026·1 point·0 comments
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AI Analysis

●●SolidNiche GemSolve My Problem
The Take

It spins up dedicated Postgres instances with pgvector pre-installed, uses Patroni for HA and pgBackRest for snapshots, and publishes concrete vector benchmarks (2k QPS @ <4ms for 10k vectors; 252 QPS at 1M). The stack choices (Hetzner NVMe, read replicas, HNSW) feel pragmatic for teams who don't want serverless/shared trade-offs, though I'd want clearer SLA/multi-region details and independent benchmarks at larger scales before moving critical workloads.

Target Audience

Backend developers, ML engineers, startups and teams building RAG or semantic search who want a managed vector-capable DB

Post Description

Hey HN,

I built Rivestack because managed PostgreSQL with pgvector is either expensive (AWS, GCP) or shared resources (Neon, Supabase free tiers).

What it does: - Dedicated PostgreSQL with pgvector pre-installed - Automated backups, monitoring, HA - EU and US-East regions - Free tier for testing

Benchmarks on the $29 tier: - 10k vectors: 2,000 QPS, <4ms latency - 1M vectors: 252 QPS, 32ms latency, 98% recall

Stack: Hetzner infrastructure, Patroni for HA, pgBackRest for backups.

Would love feedback from anyone building RAG or semantic search. Happy to answer questions!

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