@bulkhttpstatus · X

@ashkans_dev · X

An ETL tool:

u/ajaysurya_ · Reddit

Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer

u/manndortmund · Reddit

Create, browse and chat with your Open Knowledge Format. The Open Knowledge Format is Google's open standard for knowledge that both people and AI agents can read. This tool lets you build your own OKF , browse it, and question it — without writing markdown and YAML by hand. Upload once, then structure, visualize and ask across your whole bundle. Concept Library Upload a .zip, .md or .json bundle in OKF v0.2 format. The parser reads out the concepts and their frontmatter, so titles, desc

victor_edka · HN

HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked

thomaslai414 · Product Hunt

Nulls Tracker - AI Bulking & Macro Log Minimalist AI macro & workout log built for bulkers

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

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

eliotho · HN

I built a tool showing how AI providers (should) throttle their models

u/No_Entrance772 · Reddit

I nearly cut my free plan retention out of fear. I measured first, and the change did nothing. Backstory first, because that's the honest order. I pay for OpenAI, Anthropic and Cursor. Every one has its own dashboard, none of them agree with each other, and none agree with the invoice. What I actually wanted was boring: what did this feature cost last month, and which customers are expensive to serve. No provider console answers that, because they bill by organisation and API key, not by my

alesha-pro · GitHub

atlas Interactive canvas for taking an LLM apart tensor by tensor: measured INT8/INT4/FP8 error, distributions, spectra and outlier channels for every weight tensor

osaitech · Product Hunt

OpenSourceAI.tech Discover 10,000+ open-source AI projects, models & tools