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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:
Photograph a slide, whiteboard, or paper and find matching research in Firecrawl's 43 million paper index.
@_stingraze · X
Find Research Papers by taking a photo of your handwritten notes or printed paper.
基于研究的心理测试和脑测试，评估脑年龄、睡眠质量和幸福感。
@LifeGraphPlus · X
从 arXiv 阅读或收听 AI 研究论文的精短摘要。
MediaSquirrel
LitWise——根据研究意图、学科和证据选择文献综述方法的指南。
@xxonnn · X
I built with ChatGPT Work! 🎉A beginner-friendly guide for undergrad and early grad students on the full research workflow Designed especially for Thai students (with English version available)Check it out here: #ResearchTips #LitReview #HigherEd
通过调整限流规则看AI提供商如何在需求激增时分配强模型。
eliotho · HN
I built a tool showing how AI providers (should) throttle their models
将学习PDF转换为闪卡、测验和音频播客，具有弱点检测功能。
@indiesaasgrowth · X
I built a study app. . It's a study app for medicos , it turns pdf into flash cards , audio podcasts, quizzes and so on. It makes study easier. And also reminds them to study and analyses their weak points and then it trains us accordingly. It also shows their performance and progress over time .
根据已发布的代理标准评判AI产品,包含可检查证据和社区投票。
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
24个口腔和颌面疾病的交互式临床图谱,包含放射学和组织病理学内容。
@dentistbangla · X
Check out what I just built with Lovable!
查看和对比主流AI模型的公众意见和基准评分。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
Product leaderboards decided by an adversarial AI jury. Every rank is taken from the product that held it, in a trial with graded evidence and published reasoning.
@oleks_i · X
