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SWE180 - Best Preparation and Learning Platform
Learn data structures and algorithms through interactive visualizations and interview prep tools.
@aarsh_30 · X
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11 projects
Learn data structures and algorithms through interactive visualizations and interview prep tools.
@aarsh_30 · X
Interactive lessons in math, programming, data analysis, AI, and science.
@BruceWayne95290 · X
just leaving a comment cause its 1am and im vibe coding, will come back tomorrow (on an alt account for open claw fyi) I've worked with the following brands: vytadose, bajabeachco, jaje health, eric javits, 4knines, welleco, coatdefence
Financial forecasting and credit-analysis platform for credit professionals and business owners.
@caseyyoshi · X
Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
Refine ideas through logical reasoning and publish them to a community of verified knowledge.
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong
Query real-time crypto data including prices, whale activity, DeFi TVL, and staking yields in multiple languages.
matrixnk · Product Hunt
ChainPulse Agentic mediator for Crypto Intel
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
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
Create business proposals with templates, e-signatures, and analytics.
@propelio_app · X
Hey man, Building Propelio, proposals for freelancers Let’s connect!
Learn code skills with flashcards, quizzes, and AI tutoring built on memory science.
@mkappworks · X
I am building lets connect