hobbescotch · HN

Noema – AI personas debate US listed stocks

u/OfferRead · Reddit

Built an AI tool that tells you if a rental property is actually a good deal (and calculates the offer price that would make it one) Hey yall, wanted to share something I've been building called OfferRead . The problem: when you're evaluating a rental property, you can run the numbers yourself, but it's tedious, and it's hard to know if a good deal in one neighborhood is actually good relative to comparable properties nearby. What OfferRead does: Pulls live comps, rent estimates, and

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

@realYinkaIyiola · X

- conversion-focused ai-enabled analytics

@brucewayne18457 · X

Get years of Knowledge & prediction within seconds with IntegraX Predict Stock Prices upto 60 days suggest action,top insights Stocks recommender Compare stocks Top 5 stocks of day Visit IntegraXai looking for genuine reviews

@Mikel_GM_ · X

Building a fintech platform to help retail investors audit stock balances with forensic accounting metrics (like Sloan, Beneish & DCF models) without the market noise📊🛠️

u/jeremyStover · Reddit

My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(

u/Substantial_Net_1677 · Reddit

I will try once again A few weeks ago I posted here asking for feedback on a portfolio analysis tool I was building. The idea is simple: before buying or selling anything, I wanted a way to simulate changes to my portfolio and actually understand the impact instead of relying on gut feeling. So I built S-Markets . Some of the things it does: Simulate "what if" scenarios before making changes. Analyze diversification and concentration. Explain portfolio risks in plain English wi

@onehopeA9 · X

用 DAPPOS @dappOS_com 做了一个加密货币缠论分析网站，也是我一直想做没时间做的！ 来看看缠论三买的威力： 不是不会写代码。 我自己是程序员，真要硬写当然能写。 但问题是：没时间。🤡 做交易的人都懂，真正消耗人的不是“看一根 K 线”，而是把一堆信息拼起来： K 线结构。 缠论笔、中枢。 一买二买三买。 一卖二卖三卖。 资金费率。 持仓量变化。 成交量异动。 市场舆情。 这些模块涉及太多方面，写得出来，但太费时间。 所以我一直想做一个自己的交易雷达： 接币安历史数据。 用 TradingView 展示 K 线。 自动画缠论结构。 标注买卖点。 再把资金费率、持仓量、成交量和币安广场热度放进去。 想法很清楚。 但一直躺在 TODO 里。 最近用 xbubble 的 Coding 功能试了一下，直接把需求丢进去： “做一个加密货币缠论分析网站，接入币安一年历史数据，用 TradingView 展示 K 线，自动画笔、中枢、一买二买三买、一卖二卖三卖，增加异动分析和币安广场舆情热度。” 它真给我生成了一个能跑的原型。 这次最戳我的不是“AI 会写代码”。 而是 xBubble 把最消耗时间的工程杂活压短了。 以前我自己做： ❌ 搭项目结构 ❌ 爬数据源和图表库 ❌ 写 K 线处理 ❌ 写缠论结构识别 ❌ 做前端交互 ❌ 部署、改样式、修细节 一圈下来，核心想法还没验证，人先累了。 现在变成： ✅ 先描述业务目标 ✅ 让 xBubble 生成可运行原型 ✅ 我再校验规则、调整逻辑、优化体验 ✅ 把时间花在交易理解和产品迭代上 这对程序员其实很有价值。 因为程序员最缺的不是能力，而是时间和注意力。 我这个原型现在大概有几块： 第一，TradingView K 线主图。 用币安数据展示行情，再叠加缠论结构。 第二，笔和中枢。 把原本需要手动盯的结构，先自动画出来。 第三，买卖点雷达。 一买、二买、三买，一卖、二卖、三卖，先帮我筛可能的位置。 第四，异动面板。 资金费率、持仓量、成交量变化，和 K 线结构一起看。 第五，舆情热度。 把币安广场讨论热度也拉进来，看看市场情绪是不是和盘面互相印证。 你可以理解成： 我不是让 AI 替我交易。 我是让 AI 帮我做一个交易前的信息雷达。 我觉得 xBubble 和普通 AI

@DataVoxy · X

Just shipped: a live gold market dashboard that auto-updates every 15 min. Built with Python + Cloudflare Workers + R2. Zero cost to run. More tools coming. Building in public.

@lucasledonne · X

@cdd56656 · X

which helps you know your website user traffic inside your agent