
Traqcker — Stock Analysis in Seconds
快速评分美国股票,获得公允价值和社区见解。
@PabloDevelops · X
making investmens easy
完整作品展
技术栈
28 projects

快速评分美国股票,获得公允价值和社区见解。
@PabloDevelops · X
making investmens easy

用于数据分析和文档提取的 No-code 平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

基于统计分析预测2026年World Cup比赛比分。
@ryo_uit2606 · X
⚽ Just shipped my World Cup 2026 score predictor — vibe coded this whole thing! 🔮 Combines AI (Dixon-Coles model) + Eastern Feng Shui to predict match outcomes: trend, score, I-Ching hexagram, Five Elements jersey analysis... 🌐 Try it: ⚠️ Disclaimer: For entertainment & reference only. NOT promoting gambling in any form. Football always surprises! #WorldCup2026 #VibeCoding #WebDev #FengShui #AI #SideProject

用防守评分、护城河分析和竞争差距来验证SaaS理念。
@saralsachan · X

60秒内创建任何合同,签署前获得AI风险分析。
@Gaurav_dev01 · X

通过文本或照片跟踪餐饮和锻炼,获得即时AI营养分析。
@_FrenchSalmon · X
Building Aumaï, nutrition coach Spoiler alert: you can connect via MCP

使用Peekaso的AI分析研究iOS应用创意、关键词和竞争对手。
@ValidateYourApp · X
👀 Validate your app, research and compare keywords with AI analysis. Free to try! 🚀

AI 从照片分析您的皮肤和压力水平。
@anujbhargava50 · X
AI that knows your skin better than you do. 🙌🏻Give it a try

AI工具在90秒内通过财务分析和风险评估来压力测试商业创意。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

上传图片检测是否为AI生成,支持概率分析和元数据检查
bingkunzhao · V2EX
开发了一个识别是否是 AI 生成图片的工具 https://imageaichecker.com/ 上传图片,可以判断是否是 AI 生成的,每天 3 次免费

上传照片,用AI快速识别昆虫。
@buildwithahsan · X
Just launched an AI Bug Identifier 🐞 Upload a photo and identify bugs and insects instantly using AI. Building in public and learning every day 🚀 🌐 #AI #BuildInPublic #WebDevelopment

在数分钟内启动用户反馈调查,采用 AI-powered sentiment analysis
@elvan_hq · X
Feedback surveys with AI summaries for SaaS and ecom teams. NPS, CSAT, CES in minutes, not days. Built for the one-person CX stack who doesn't have time for enterprise tools.