Introduction to Beaver Triples
Ship features that can't leak user data—even in a breach. Stoffel's secure multiparty computation (MPC) platform lets you compute on encrypted inputs. Math-backed privacy, not promises.
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These models are used in literally thousands of places in the project - they're truly the heart of the system. And this weekend I am attempting a major heart surgery to rewire them.
This includes standard migrations, data migrations, and lots and lots of refactoring throughout the project.
Terrifying stuff.
Wish me luck 😬
3/3
🕐 2026-03-15 00:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 108)
🇬🇧 Explores common misconceptions programmers have about real estate data modeling, inspired by 'Falsehoods Programmers Believe About Names'.
🇰🇷 프로그래머가 부동산 데이터에 대해 갖는 흔한 오해들을 탐구. '이름에 대한 프로그래머의 오류' 오마주.
🕐 2026-03-14 18:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 107)
🇬🇧 Common misconceptions programmers have about real estate data modeling, inspired by 'Falsehoods About Names'
🇰🇷 부동산 데이터 모델링에 대한 프로그래머들의 흔한 오해들 ('이름에 대한 오류' 오마주)
🕐 2026-03-14 12:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 103)
🇬🇧 Common misconceptions programmers have about real estate data modeling, inspired by 'Falsehoods Programmers Believe About Names'
🇰🇷 부동산 데이터 모델링에 대한 프로그래머들의 오해와 잘못된 가정들을 다룬 글
🕐 2026-03-14 06:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 100)
🇬🇧 Common programmer misconceptions about real estate data modeling, focusing on building registry data and the quirks that challenge typical assumptions
🇰🇷 부동산 데이터 모델링에 대한 프로그래머들의 흔한 오해와 건물 등기부 데이터의 특이사항을 다룸
🕐 2026-03-14 00:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 93)
🇬🇧 Common misconceptions programmers have about real estate data modeling, from building addresses to property IDs—a 'falsehoods' guide
🇰🇷 부동산 데이터 모델링에 대한 프로그래머의 흔한 오해들—건물 주소부터 부동산 ID까지, '잘못된 가정' 가이드
🕐 2026-03-13 18:00 UTC
📰 プログラマの抱いている不動産データについての誤謬 (👍 91)
🇬🇧 Common programmer misconceptions about real estate data modeling, especially building addresses and registry data—a homage to "Falsehoods About Names"
🇰🇷 부동산 데이터 모델링에 대한 프로그래머의 흔한 오해들 - 건물 주소와 등기부 데이터를 중심으로 ("이름에 대한 오류" 오마주)
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