Orville
Orville is Took inspiration from Acadia's blog post about N+1 queries to write the Orville one! @evancz 👀. It is ranked #4136 on the Dev Radar, in Databases, first seen 8 days ago and shared in 1 post (260 views).
Orville - Fighting N+1 Queries with Plans Fighting N+1 Queries with Plans An N+1 query problem is a slow data access pattern. Your code runs one query to get a list of rows. Then it runs one more query for each of those rows. For 100 rows, the database receives 101 separate queries. Each query is a round trip: the program sends it to the database and waits for the answer. If a round trip takes 1 millisecond, 1,000 rows cost a full second of waiting. One query with a join or an IN condition, such as SELECT * FROM authors WHERE id IN (1, 2, 3) , gives the same data in a single round trip. This page explains why the N+1 problem is so easy to…
What people said about Orville on X
Took inspiration from Acadia's blog post about N+1 queries to write the Orville one! @evancz 👀 https://flipstone.github.io/orville/explanations/fighting-n-plus-one-queries-with-plans.html
— @FlavioCorpa, 8 days ago · 4 likes · see the post
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Orville in numbers
- Rank on the Dev Radar: #4136 of 8801
- Shared in 1 post by 1 account: @FlavioCorpa
- 260 views on those posts
- First seen 8 days ago, last shared 8 days ago
- Pricing seen by AGK Intelligence: not stated
- Market: Databases
FAQ
What is Orville?
Took inspiration from Acadia's blog post about N+1 queries to write the Orville one! @evancz 👀 It was first shared on X 8 days ago and is ranked #4136 on the Dev Radar.
Is Orville free?
Pricing is not stated on the page we read.
Who shared Orville?
1 account on X, including @FlavioCorpa, in 1 post totalling 260 views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 21:12 UTC. Full method.