
Zuvio Atlas — AI-Powered Server Monitoring & On-Call | Free Trial
Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X
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Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X

Paste product reviews and get an instant AI analysis report — sentiment breakdown, top complaints, strengths, and actionable insights in seconds.
@YashPawar576844 · X
I used to pick products first and research customers later. That order cost me money. Now I start with what buyers actually say about the product. That shift eventually led me to build Pikwisely.

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 service uptime and get AI-powered incident analysis with instant alerts.
@Alphasf9 · X
Just launched PulseBoard 🚀 Uptime monitoring with AI-powered incident analysis, instant alerts & public status pages. Built with: Node.js • React • Redis • PostgreSQL • Docker Try it free 👇 #buildinpublic #opensource #webdev #SaaS #devtools

Investigate current grifts and scams using a RAG-powered research tool.
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)

Monitor web apps and APIs with instant Telegram alerts for downtime and performance issues.
u/AgitatedLemon6836 · Reddit
I've got too many sites to monitor at this point I have been working on a bunch of different SAAS ideas at this point, some of them are just parked right now as I have decided to market others or have lost passion for the project. Its hard to check logs in a unified fashion for a bunch of different sites, I have backend's on Fly io, Heroku, Vercel, Hetzner and AWS (for varying reasons, some consulting, some work etc). just wanted like text message updates for things with a summary, like "3

AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using

Paste n8n or Make workflow JSON to get an instant analysis report on reliability, cost, and security.
@dash12_dev · X
analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.

AI tool that matches your track's EQ curve to reference songs in the browser.
@pcclubb · X
Check out "SONICSYNC EQ "match engine · v1.0 I just built with Lovable!

Get instant buy/skip/caution verdicts by analyzing Amazon reviews, Reddit threads, and YouTube videos.
@aminnnn_09 · X

Audit your content's performance for AI-powered search engines.
@BayofDomain · X

Record your voice to get AI feedback on clarity, pace, stability, and listener impression.
MRNiu · V2EX
做了一个免费的声音表达分析工具,录 5–15 秒就能看到反馈 最近做了一个小工具:Voice Impression Checker 。 它想解决的问题很简单:我们经常知道自己“说了什么”,却不太清楚这段话听起来是什么感觉。 打开网站后,只需要录制 5–15 秒自然说话的声音,工具会从这一次录音中分析: - 清晰度、语速、稳定性、能量和声音变化 - 听感上的温暖、自信、亲和力和参与感 - 这次表达做得比较好的地方 - 下一次录音可以尝试改进的一件事 网站还提供了 Rate My Voice 模式,可以针对面试回答、演讲开场、自我介绍和日常交流等场景进行练习。 需要特别说明的是,它不是声音好坏评判,也不会通过声音判断性格或身份。所有结果只描述当前这一次录音的表达效果,更适合用来反复练习和比较不同说法。 目前网站免费使用,不需要注册账号,录音仅用于生成当前报告,不会保存。 网站地址: https://voiceimpressionchecker.com/ 这是一个刚完成的早期版本。如果你愿意体验,欢迎告诉我结果是否容易理解,以及你最希望