
hRAG · Retrieval with receipts
Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked
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Self-hosted hybrid RAG on a €116/month cluster — Postgres, BM25, vectors, a reranker, and a public benchmark score for every claim.
victor_edka · HN
HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarked

Browse e-commerce SaaS tools and identify which can be rebuilt with AI in one prompt.
@andreasacca · X
Inspired by @robj3d3’s that went viral last week. Over the past year working with ecommerce brands I kept hearing: “I only use 10% of this SaaS and I’m paying hundreds for it.” So I built the Ecommerce focused version: 200+ tools analysed. Honest verdicts on what you can realistically vibecode. Vibecoded entirely with @Lovable + some fixes, starting from the prompt taken from First detailed analyses coming soon. Reply with the tool you pay for every month. Thanks @robj3d3 for the inspiration! Loving X

Turn your company's calls, docs, tickets, and CRM into one searchable, AI-verified record.
@chaibytesai · 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

Business operations platform for managing sales, inventory, accounting, and customers with WhatsApp and storefront ordering.
@wings_davis · X
I launched my first SaaS - LogHive. Sales, stock, purchasing, accounting, customers, and business insight in one secure workspace. Customers check availability, price, and place orders on WhatsApp. Also includes a storefront to allow customers to order.

Build data dashboards from multiple datasources with automated transforms and modeling.
u/Lopsided_Working2023 · Reddit
I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time

Computational whiteboard for data analysis and insights, no signup required.
tccole · HN
Napkinbook, a smart canvas for discovering, and sharing insights

Browse verified revenue charts sorted by 30-day performance and category.
@gimafore · X
Market intelligence on verified revenue, see how much it takes to get ROI when you acquire a startup

Discover underserved market gaps and business opportunities using AI analysis.
u/Bootfit · Reddit
Building is easier than ever but knowing what to build isn’t. Hello everyone - I’d like to show you the MVP of my new website http://Undersrvd.com Undersrvd grew from a problem I was trying to solve for myself. I’d been poking different AI engines for a while trying to get them to recognise signals in news stories etc that could point to the next big thing on the horizon - the next fad, fidget spinners, Labubu etc - trying to get ahead of the game. When they couldn’t come up with anythi

Search 600M+ financial datapoints including fundamentals, filings, and transcripts across 2,900+ companies.
u/SnowSilent7695 · Reddit
Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

Automate your B2B revenue execution by unifying marketing, sales, and customer data.
@k_mansourizadeh · X
Curious to learn more, building

Upload GL files to auto-generate P&L reports with AI-written variance commentary.
@VictorVDPN · X