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
Query normalized SEC filings, insider trades, and holdings via APIs or RAG exports.
@nomasfyi · X
mcp server with sanitized SEC data
No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
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.
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.
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
Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
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
Automates data classification, attribute extraction, and enrichment across product, log, and analytics data.
@ShpendPalushi · X
I guarantee you, you are not getting most out of your data. Let Product Gale tell what you are missing from your data
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
Turn supplier catalogs from PDFs and scans into clean, standardized product data.
fouadhalawi · HN
Location: UK company (MicroCity Solutions Ltd, reg. 17103353); I work remotely from the Middle East (UTC+3) Remote: Yes, B2B — you contract the UK company, no payroll or employment friction Willing to relocate: No Technologies: Python, PHP, SQL (MySQL/PostgreSQL), FastAPI, LLM integration, RAG, OCR / document data extraction, automation pipelines, Shopify & WooCommerce APIs Résumé/CV: https://microcitylabs.com (two live SaaS products — try them on your own files) Email: [email protected]
Bring your Apollo, Lusha and spreadsheet data into one searchable vault. Filter with 110+ filters and enrich with trusted email, phone and scraping tools.
@m1mubeen · X