教育学习1 month ago
Turnitin AI Checker — Real AI Detector & Plagiarism Report
检查论文中的AI写作和抄袭，在提交到Turnitin前自查。
PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题
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技术栈
60 projects
检查论文中的AI写作和抄袭，在提交到Turnitin前自查。
PaperCheck — 论文提交前自查工具，提供 Turnitin 查重 + AI 写作检测报告，帮助学生在正式提交前发现问题
使用客户痛点、竞争信号和市场数据发现并验证AI产品机会。
vinitk80555 · HN
AI Product Opportunity
Coursey shows the real data on online courses — member counts, revenue estimates, pricing, and rankings — backed by honest reviews, so you can pick the course that's actually worth
@00jbam · X
buying courses online are difficult, expensive, and sometimes sketchy, however coursey makes the entire process more seamless and effortless.
JustPost studies the founders you choose on X, finds what's actually resonating, and gives you one evidence-backed recommendation each morning. Every claim links to the post it cam
@RahulSharma_28 · X
Currently building:
展示真实工作成果和技能，与重视能力而非简历的招聘者相连
rolesage · Product Hunt
RoleSage See the person in an avalanche of AI-polished applications
通过AI评估验证知识并获得Academission认证。
@syprayt · X
We are building platform to verify user knowledge using AI, so you can avoid boring lectures and save years of life. It’s Academission baby. Yesterday we launched online mode, so that everyone could test our technology, here is the link:
Keel - 在一个地方管理合规控制、政策和审计证据。
@KeelGRC · X
just launched this week. It’s an SMB-friendly GRC and compliance application.
Master JEE Mains, JEE Advanced, NEET UG and competitive exams with AI-driven chapter-wise question practice, syllabus trend analysis, and step-by-step solutions on RankBit.
@SujalXudy · X
Hey! 👋 Full Stack Dev & Solo Founder building RankBit (a free NTA CBT platform). 💻 Focus: Web Dev, Full Stack, Startups & LeetCode 🚀 Always happy to connect with fellow builders! My website link --
用于管理大学作业、提交、成绩和成绩单的移动平台。
@AsDavidi3g5 · X
Check out what I just built with Lovable!
参与校园问卷调查或答题赚取积分。
@vibetribeorg996 · X
Check out what I just built with Lovable!
上传论文或项目材料，通过AI分析发现方法重合、薄弱论证和引用缺陷。
@Havey1001 · X
公共数据被研究得多，并不等于没有创新。更关键的是问题设定、识别策略、机制解释，以及同类结论和引用证据链是否已被覆盖。投稿前先系统比对公开论文、专利和既有技术路线，能少走不少弯路。我们做了一个投稿前风险预审工具，专门把这些重合与薄弱点提前摊开：
