Productivity1 week ago
RunXIt
Organize and share work across 5 data types in one collaborative workspace for teams and solo users.
@RunXItApp · X
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60 projects
Organize and share work across 5 data types in one collaborative workspace for teams and solo users.
@RunXItApp · X
Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
Upload CSV or Excel data for AI-powered insights, charts, and automatic data cleaning.
@ajkbossp · X
Check out what I just built with Lovable!
API for accessing institutional-grade financial data, optimized for AI and developers.
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy
Create visual data pipelines for CSV, Excel, JSON, and Parquet files.
@ashkans_dev · X
An ETL tool:
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
Connect your Postgres or Supabase database and receive AI-powered alerts when your data drifts
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.
Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
Convert, view, and manage various file formats online including documents, PDFs, and archives.
@FileProInfo1 · X
🚀 has successfully launched! helps users convert, view, process, and manage files online — including documents, PDFs, OCR, archives, email formats, and more. We’re excited to share it with the community. Check it out here:
Ingest, explore, and analyze datasets with autonomous data processing in an interactive workspace.
@kashyap_ai · 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
@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out