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浏览器中的230+免费开发工具,用于JSON、CSV、SQL等数据格式化和转换。
divsince1999 · Product Hunt
ToolSnippet 233+ free, 100% client-side developer & text tools
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浏览器中的230+免费开发工具,用于JSON、CSV、SQL等数据格式化和转换。
divsince1999 · Product Hunt
ToolSnippet 233+ free, 100% client-side developer & text tools

使用Misata为Python生成精确声明的合成测试数据。
@RasinMuhammedX · X
Declarative Synthetic Data Generation.

Describe a dashboard and Vetros builds it on your real data — sources connected, data modeled, every number traceable, kept up to date for you. The data product builder for teams w
@AzuolasEnd · X


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

@Dusyantkmr https://t.co/efrXkyxkfq AI powered data cleaning and analysis. Chat based analysis. It is for students, researchers, data managers...just anyone with quantitative surve
@MutieRogers · X
AI powered data cleaning and analysis. Chat based analysis. It is for students, researchers, data managers...just anyone with quantitative survey data in Excel or any other format.

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

通过数据源变换和建模创建数据仪表板和分析产品。
u/Lopsided_Working2023 · Reddit
I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time

@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out


搜索实验室报告验证产品纯度和成分。
@Titratelab · X
Love the direction. Partner with us at Built by security & software engineers. We scrape Whatsapp, TG, GLP1forums, Meso, Finnrick, Janoshik, Freedom, peptidechat, and even Discord- where we have over 1 billion messaged logged and analyzed. 70,000 COAs stored in our database from thousands of vendors. Sentimental analysis driven trust signals on all communities. This isn't vibe-coded one-shot scraping; we've developed our own inhouse anti-automation bypasses for nearly every major platform.

将讲座笔记和PDF转换为学习卡片、测验、摘要和音频播客。
u/LineMission3540 · Reddit
Would Love Feedback on an AI Study Tool I'm Building I’m a high school student currently building Vulty, an AI study tool that organizes and turns lecture notes and PDFs into interactive, editable note summaries, flashcards, quizzes, and even 1 to 15 minute audio podcasts. We’re starting early access testing before launch, and we would love feedback and beta testers. You can test Vulty out at https://vulty.org/ . If you'd like to access Pro or Premium mode for testing for free, DM me and I c