Developer Tools1 week ago
Synthetic Test Data From Your Live Schema
Generate synthetic test data that matches your database schema without production data.
@dmitrij90946 · X
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Generate synthetic test data that matches your database schema without production data.
@dmitrij90946 · X
Generate complete software architecture, APIs, and database schemas from a text description in seconds.
@LandDebbarma · X
🚀 AI that turns your idea into production-ready system architecture in seconds. Build faster, design smarter.
Visualize SQL schemas as ER diagrams and review AI-suggested fixes before applying them.
@erd_factory · X
Paste your CREATE TABLE statements. Get an instant ER map, flagged issues, and AI-proposed fixes — reviewed as a diff before anything touches your schema.
Schematic AI is an AI data analyst that lets businesses upload CSV and Excel files, ask questions in plain English, and get trustworthy insights from their data in seconds.
@Ishaan_Gill_5 · X
Migrate and back up databases between MySQL, PostgreSQL, and cloud providers online.
@ProvyDon1 · X
Serverless and managed databases for 18 engines including PostgreSQL, MySQL, FerretDB, Redis, and ClickHouse. Free tier with no card. Self-host with SpinDB.
@LayerbaseDB · X
We make all databases accessible to everyone from hardened engineers to vive coders with a free tier so generous that most people never need to upgrade
Wurk.Flow unifies schema design, a live SQL workspace, column-level lineage, and source-to-target mapping in one local-first modeling IDE — in your browser or on your desktop. Free
@WurkHaus · X
What happens when you got told no to a 3k quote for a data tool and spend a year building one instead.
Migrate NoSQL databases to SQL with automated schema mapping and live change replication.
@heyayankai · X
🚀 Building NoSQLSync. It helps developers migrate NoSQL databases to SQL without writing custom migration scripts. Always happy to connect with fellow builders and AI enthusiasts.
Get an instant SQL database endpoint and authentication keys ready to use in your app.
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event
Smart Book manages 5 data types including noops. Helps you organize, track, and share your work in 1 place for teams and solo users.
@SmartBook1212 · X
Per-seat pricing punishes you for hiring. Smart Book is flat $30/mo no matter how many techs you dispatch. From
Managed PostgreSQL control plane and connection proxy to simplify database deployment.
@aisaasideas · X
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复