
Backlink data for any domain. Pay per lookup — RankParse
Look up backlinks and referring domains for any website via pay-per-lookup API.
@rankparse · X
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Look up backlinks and referring domains for any website via pay-per-lookup API.
@rankparse · X

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

AI-powered analytics tool that reads site data and delivers plain-English insights on what changed, why, and what matters most.
@MBKariyawasam · X

AI-powered audit tool that analyzes website and SaaS UI/UX for usability, accessibility, and conversion improvements.
@mydesignaudit · X

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

Analyze your landing page's conversion potential with a free inspector tool or book a custom design in 24 hours.
@rapidlander_ · X
I design and deliver landing pages in 24 hours for founders who are launching now. Free inspector on the site too, paste your URL and it scores your page on what actually kills conversions.

Shorten and track links with analytics.
@Martinez1471026 · X
I hope this saas of my friends that is free will be useful for someone.

Find exposures in your external attack surface before intruders exploit them.
@OGVeilScan · X

Automatically scores, tags, and deduplicates customer feedback submissions.
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

Scan and monitor AI-coded apps for security, performance, and code quality issues.
@Vibedoctor_io · X
Connect VibeDoctor MCP to Cursor, Copilot, Claude Code or Windsurf. Your agent gets a security gate built in. #ClaudeCode #AppSecurity #DevTools

Turn App Store and Google Play reviews into structured product insights with pain points and opportunities.
u/Top-Quarter-4281 · Reddit
I made a product for analysing app reviews and get insights Hi folks! I recently made ParseMyApp , it takes any app and turns its reviews into something usable: top complaints with root causes, what users would riot if you removed, feature requests ranked by impact, and where competing apps could win based on analysed app weaknesses. Bonus: No account needed, free and runs entirely in your browser. How does it work: it pulls up to 500 reviews for iOS (Apple's API cap), and up to 1500