
AI Data Analysis Tool | Energent.ai
无代码数据分析和文档提取平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
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无代码数据分析和文档提取平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

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

从 PDF 自动提取结构化数据,用于工作流自动化。
u/yonnnyy · Reddit
How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this


AI简历解析工具,支持拖放上传、数据提取、ATS评分及批量导出。
@VortixDataAi · X
🚀 VortixData AI: Parse PDFs/Docs < 1s! • Bulk export (Excel/JSON/JSON-LD) • 0-100 contextual ATS score • Live analytics stats dashboard 💥 50 extra free credits for first 50 users / Special corporate offer! • Non-expiring Token packs start at $18

查看 Kalshi 和 Polymarket 预测市场的 ML 模型预测和性能指标。
@precisionalgo · X

查询实时加密货币价格、大户活动、DeFi TVL 和质押收益数据。
matrixnk · Product Hunt
ChainPulse Agentic mediator for Crypto Intel

将 Gmail、日历、GitHub 和 Figma 整合成一份每日智能摘要。
@CodewithDivine · X
check this out

The Lineup 体育博彩分析工具,包含 +EV 公平价值检查、预测和追踪。
u/sweetnessssss · Reddit
Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar

用于查询结构化公开X数据的API,包括帖子、资料、趋势和粉丝。
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints:

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

使用精益画布来组织和验证你的创业想法。
@MehulFanawala · X
I vibe coded as well as and have paying customers for both.