
openluxe
Stream trending movies and series with exclusive content.
@chandlerwilcox · X
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20 projects

Stream trending movies and series with exclusive content.
@chandlerwilcox · X

Analyze app reviews to discover underserved SaaS and mobile app niches worth building.
@sflorimm · X

Get email alerts for unusual options activity on your watched stocks with custom filtering rules.
@RobGuerra90 · X
Building – the same options data as the big platforms, at the lowest price on the market. Unusual flow for the stocks you really own, emailed instantly when it hits.

Generate AI-powered UGC video ads from product URLs with trend analysis and viral scripts.
@z_duane · X

Take notes on YouTube videos to track ideas and understand viewer engagement for content creators.
u/Wolf-soul-site · Reddit
I cut the one feature every user asks for, because shipping it would've meant lying to them. I'm building Margin( https://margin.bhairav.ai ), a tool that helps YouTube creators decide what to make next. The #1 request is a number: "this idea will get ~40K views." Every competitor shows one. Users ask for it constantly. I won't build it. Nobody can predict a video's views from an idea. Thumbnail, timing, the algorithm, luck, none of it exists yet when you're validating. Any number I sho

Discover Reddit trends, research keywords, and grade posts before publishing.
u/hachishikiga · Reddit
You don't need LLMs for everything "Just ask (insert any LLM)" is crazy to me. I'm sure you've also seen it, if you go around the saas/entrepreneur subreddit space the most obvious tell is how EVERY homepage looks. Recently the trend has been terminal green with slight glowing elements, and slowly revealing features as you scroll down. This is a bigger issue than the scope of this post, but I will still plant the thought in your head: if everything comes from the same source (even more so if

Embed videos in PDF documents to track engagement and viewership.
@Cam_james05 · X

Real-time LLM-powered news aggregator surfacing trending stories with live updates.
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site

Compare vehicles with AI scoring, browse listings, track maintenance, and message sellers.
@Carrview · X

Checks whether your brand appears and is accurately described across ChatGPT, Gemini, DeepSeek, Perplexity, and Grok.
@NianyaXie · X
Building OranGEO — helping brands turn AI search into a new traffic channel. It shows whether ChatGPT/Perplexity mention your brand, which competitors show up instead, and how to improve AI visibility. Run a quick check on your product/site:

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

Rate movies and TV shows, track what you've watched, build a queue, and see how your taste compares with friends.
@BenjiNaesen · X
I vibe-coded an alternative to Letterboxd last night. You're welcome to try it out. 👀