BeQuery

What it does

BeQuery mirrors your MySQL databases to isolated PostgreSQL. Connect in 5 minutes. Your team gets a SQL editor, AI query assistant, and pre-built templates for PrestaShop, WooCommerce, and Magento — flat monthly pricing, no per-query fees. Problem: Analytics on production MySQL cause slowdowns, outages, and limit data access. Solution: Automatic scheduled cloning (hourly/daily/weekly) to a safe, queryable copy. Zero impact on production.

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  BemiDB – Postgres read replica optimized for analytics2024 · github.com · ▲209

  Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…

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  Data Analyst AI2024 · ▲417

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  SeekWell2017 · ▲81

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  Hasura GraphQL Engine2018 · ▲133

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• PP
  PostgreSQL performance and cost across 23 EC2 instance typesJul 2026 · postgres.saneengineer.com · ▲97

  Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…

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  Myriade2025 · ▲101

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• NW
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  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

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