开发者工具1 month ago
Vura - Managed PostgreSQL Control Plane & Proxy
Vura 是托管 PostgreSQL 控制平面和连接代理，轻松部署数据库。
@aisaasideas · X
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Vura 是托管 PostgreSQL 控制平面和连接代理，轻松部署数据库。
@aisaasideas · X
Hexabench 本地开发者工具套件，支持 CSV、Parquet、JSON 格式处理，无需上传。
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]
提供市场数据、经济数据、商品、气候和新闻的LLM就绪API服务。
@SugraSystems · X
通过赏金任务、SDK指南和开发者注册表在Keeta区块链上开发应用。
@Brown_Thunder76 · X
So I got bored.. A few days ago I came across a site called One of the developer bounties it listed was for building a price oracle on Keeta. I included a screenshot of that bounty at the bottom of this post. I'm by no means a developer. I have a decent understanding of how this stuff works, but I've never built anything like this before. So I figured... why not give it a shot. I decided to use Claude Code to help me build it, and honestly I came away pretty impressed. It's crazy what you can build when you have a tool that can explain things, help troubleshoot, and let you iterate quickly. So I built a price oracle for Keeta. Why is that even needed? Anything running on-chain can't just call CoinGecko or an exchange API to ask for the current price. If a dApp, anchor, or smart contract wants to know what KTA, BTC, ETH, USDC, EURC, or another asset is worth, something has to fetch that information off-chain, determine the correct price, cryptographically sign i
将SQL架构可视化为ER图，审查AI建议的修复后再应用。
@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.
ScrapingDaddy helps developers and businesses extract public website data at scale with a reliable API, JavaScript rendering, geo-targeting, and simple integration.
@tadyav · X
文档解析 API，准确提取表格、公式和结构化数据给 AI 代理。
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
通过 API 抓取搜索结果和 ChatGPT、Gemini、Perplexity 等 AI 模型的输出
rbatista19 · HN
Generous free tier for SERP and AI web scraping
@Kiriakoscls4 https://t.co/vL7v4J1TKx
@z5code0 · X
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.
上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.