
Cobrai
AI-powered retention intelligence for subscription businesses.
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.
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AI-powered retention intelligence for subscription businesses.
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.

Compare 700+ Azure VM prices across regions with real-time pricing data.
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM,每天拉最新的推理定价 为什么需要「每天」? 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M,半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差,就是泡沫

Analyze cryptocurrency markets with Chan Theory patterns, K-line charts, and anomaly detection.
@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

Monitor Reddit in real time to surface leads, competitor activity, and engagement opportunities.
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.

Analyze any website URL to get a trust and safety report in seconds.
@Mahmoud525258 · X
Check out what I just built with Lovable! Safety is an AI-powered website analysis platform designed to help people make smarter and safer decisions before visiting or trusting any website.

Hire verified creators to produce user-generated content and measure campaign ROI.
@dileepdhakal · X

Track your AI provider spending and see how much you're burning.
@J0nasDav1d · X
Celebrate burning tokens

Manage invoices, track expenses, chase late payments, and automate tax calculations for freelancers.
@melorexx · X
Let me manage your finance , focus on your work. Get more value...

Find real customer pain points from Reddit and X to validate your startup idea instantly.
@Tommycsx3 · X
Building an AI tool to help founders validate startup idea base on reddit’s complaints

Scan your website to auto-generate marketing assets, videos, and positioning strategy.
@Synpoint · X
- Create marketing assets based on your website.

Free AI-powered calculators for analyzing startup and marketing metrics.
@NAVNEET_CODES · X
Free AI, startup, and marketing calculators built for founders, marketers, students, and business professionals.

Monitor critical website buttons 24/7 with automated browser testing and receive alerts on failures.
@ardayesilgul · X