
ColabWize – Academic Integrity & Collaboration Platform
ColabWize 审计学术引用并验证作者身份,证明学术工作的真实性。
@clawncore · X
完整作品展
技术栈
14 projects

ColabWize 审计学术引用并验证作者身份,证明学术工作的真实性。
@clawncore · X

Browse the latest work, ideas, projects, and insights from professionals across every field. Share what you do and connect with your peers on Peermeld.
@devshowcse · X
Here is it -

在Second Mind中保存书签、视频和笔记,AI知识库会总结内容并关联想法。
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them

创建学习笔记、预测成绩和生成学习指南的AI平台。
@indradevGod89 · X

提交您的创业想法,在24小时内获得匿名创始人反馈。
u/Competitive_Tune_590 · Reddit
Every "startup idea validator" is AI now. I went the other way — real founders vote on your decision, and they can't see each other's answers. Type "idea validator" into Google and everything on page one is an AI that reads your pitch and generates encouragement. I've tried them. The feedback arrives instantly, costs nothing, and changes nothing — it's a language model telling you what founders in its training data would probably say. So I built the opposite on my platform ( LaunchPact — I

Narranta 是团队编辑工作流平台,支持内容规划、撰写、审核和发布。
@duke_can_c_u · X
Hi I’m the founder of a content collaboration platform for teams and creators, with focus on editorial workflows. Always looking to connect with people passionate about content, SaaS, and building great products.

Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X

AI评分工具,包含剽窃检测和学习成果导向的评分表。
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.

通过分析Amazon评论、Reddit讨论和YouTube视频获得即时购买/跳过/谨慎评判
@aminnnn_09 · X

自动对客户反馈进行评分、标记和去重分析。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

向多个前沿大模型提问,获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

从社交媒体和评论平台收集并展示客户推荐。
@imharikumaran · X
— Collect, manage and showcase customer testimonials in minutes. Because your customers can often sell you better than you can.