Developer Tools4 weeks ago
Demo | 1771 Technologies
Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
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Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
Analyze sensitive data with AI while keeping it encrypted end-to-end with client-side keys.
@JackiePeters · X
Consolidate your business data from Stripe, PostHog, and Google Analytics into one dashboard.
@xdrewmiko · X
Roast my SaaS - Would you use it? - Should I change anything?
Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
@Kiriakoscls4 https://t.co/vL7v4J1TKx
@z5code0 · X
Convert and view documents, PDFs, and various file formats online.
@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:
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
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
Create immutable, SHA-256 certified records of your documents.
@BogachyovvA · X
A web app for protecting your documents, files, etc. using hashing. I am also looking for CEOs of companies for cooperation.
Upload datasets to automatically find statistically significant correlations and causal relationships.
@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.
Find and remove exposed personal data like addresses and phone numbers from data brokers.
@erasepersonal · X
Suite of developer tools for processing files locally — CSV, Parquet, JSON viewers and decoders with no cloud uploads.
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]