创意工具6 days ago
Dusken: Video & Image Review for Creative Teams
为创意团队打造的AI视频和图像审阅工具，支持自动转录和像素级评论。
@codesharpdev · X
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为创意团队打造的AI视频和图像审阅工具，支持自动转录和像素级评论。
@codesharpdev · X
你一月份的想法将改变你七月份的决定。Ovandor 跨越时间连接你的思考，并在你开口前就呈现下一步该做什么。
@amir_mehrabi_ · X
: Personal Intelligence
一次存储共享记忆，在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
用NVIDIA TensorRT-LLM在消费级GPU上进行高性能大语言模型推理。
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)
从 arXiv 阅读或收听 AI 研究论文的精短摘要。
MediaSquirrel
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.
社交化AI数学平台，用于解决和协作数学问题。
lemma1729 · HN
Hi HN, This is ProofTree, and in TLDR: it is a platform where you can chat with an AI to do math, the way you already do, with context-awareness and knows how you personally do math, connected to the fora of other live human mathematicians. So, when you are talking to an AI about a proof at 3 am, and you need a human expert looking at it, or a discussion around it, like you do on StackExchange, this is it! You need an approved email account to use it, so please write here if you would live to try it out.
为AI团队提供的协作内存平台，将团队背景信息组织成知识图。
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams
追踪ChatGPT、Claude等AI模型对你品牌的看法。
@ghoshshirsha · X
I am not done yet, but building in public: AI Visibility Platform: AI Video Generation Platform:
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
