
LandingBoost – AI Landing Page Audit Tool with Revenue-Backed Benchmarks
Audit SaaS landing pages with AI to identify improvements for clarity, trust, and conversions.
@yusukelp · X
Here’s mine!
The full gallery
Tech stack
22 projects

Audit SaaS landing pages with AI to identify improvements for clarity, trust, and conversions.
@yusukelp · X
Here’s mine!

Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X

Paste a contract address to detect Ethereum rug pulls and scams instantly.
@mik3fly__ · X
Here is mine: Check for scam before being scammed!

Database of lab reports for verifying product purity and composition before purchase.
@Titratelab · X
Love the direction. Partner with us at Built by security & software engineers. We scrape Whatsapp, TG, GLP1forums, Meso, Finnrick, Janoshik, Freedom, peptidechat, and even Discord- where we have over 1 billion messaged logged and analyzed. 70,000 COAs stored in our database from thousands of vendors. Sentimental analysis driven trust signals on all communities. This isn't vibe-coded one-shot scraping; we've developed our own inhouse anti-automation bypasses for nearly every major platform.

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

Find verified business opportunities with demand signals, competition analysis, and execution plans.
@businessHunter_ · X
Business Hunter scans Reddit, HN and GitHub for real demand signals → tells you exactly what to build before you write a line of code.

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:

Ask an AI oracle for cross-sector market signals, trends, and intelligence.
@PythiaAIOracle · X

Free tool to detect AI-generated text instantly, no sign-up required.
new_user___1862026e2883cc743d726f7 · Product Hunt
AI DETECTOR Probably the best AI detector with free no sign-up access.

Track user events and understand behavior to ship products faster.
@kitbasedev · X
We just launched, check us out at