在线工具

帮你将Notion一键排版复制到微信公众号

Create beautiful forms to fill your Notion databases. Unlimited fields, unlimited submissions. It's free and it takes less than 2 minutes to create your first form.

Build charts for notion using Chart Nerd

This is a repository that allows you to integrate NotionAI into Discord.

Create stunning content that drives more engagement.

Keep your databases from Notion automatically in sync with Google Sheets. Use Sheets formulas to send data to Notion and charts to create amazing dashboards!

Keep all your business data in one place. Create PDF invoices from your Notion database. No more copying and pasting!

Build apps for your customers, partners or even teams that are not on Notion. Choose what Notion data is shared with each user.

三米前有蕉皮

Build your own RSS Feeds in Notion. Contribute to cn-kali-team/notion-rss development by creating an account on GitHub.

Elevate your vocabulary with our cutting-edge app! Our intuitive platform allows you to easily learn new words and phrases from your own Notion database!

Notion Illustrations and Notion Icons, Identity visuals and more design resources.

介绍NotionNext的所有功能和常见问题说明

Vercel是一款国外的Serverless托管平台，对个人用户使用几乎免费，而且方便快捷，用Vercel托管你的Notion站点，无需再操心服务器的维护与资费问题。

Bardeen is an automation app to replace your repetitive tasks with a single shortcut and control your web apps from anywhere. Explore our integrations with your favorite apps and hundreds of pre-built playbooks that help you stay in the flow.

组件世界/WidgetStore.net，原notion.pet，一个国产组件库(插件),含丰富好用的widgets组件。适用于Notion Wolai FlowUs Github Gitee Wordpress 个人网站等任意可以嵌入小组件的平台。比较热门的桌面插件有：番茄钟、日历、打卡热力图、卡片式时间，同时还有动态图标（icon）、可视化图表（可以直接插入图表）。A Notion Widgets 你无需开发就能在线编辑小组件。

A curated list of of Notion third party tools like website builders, icons, apps, chrome extensions, add ons, and resources.

Schedule tweets & threads without leaving Notion. The best Twitter growth tool for Notion users, do it all in one place.

Create no-code websites with Notion, in 1 click. Turn your Notion page into your website in 1 minute. Free, fast, optimized for 0 headache. Try Simple.ink free (no credit card needed).

Create a website in less than a minute with instant page loads, SEO optimization, and no-code theming. All your content is kept and managed in Notion so you can focus on creating while Super handles the rest.

Create custom websites in minutes. All on Notion. Potion adds the magic, generating a speedy site with custom domains, styles and great SEO.

Refactor, understand, and write code effortlessly with Cursor.

AI experiments and tools for humans

Use AI Image Generator for free or AI enhance, or access Millions Of Public Domain images | AI Enhance & Easy-to-use Online AI tools

A brain-computer interface that decodes continuous language from non-invasive recordings would have many scientific and practical applications. Currently, however, decoders that reconstruct continuous language use invasive recordings from surgically implanted electrodes[1][1]–[3][2], while decoders that use non-invasive recordings can only identify stimuli from among a small set of letters, words, or phrases[4][3]–[7][4]. Here we introduce a non-invasive decoder that reconstructs continuous natural language from cortical representations of semantic meaning[8][5] recorded using functional magnetic resonance imaging (fMRI). Given novel brain recordings, this decoder generates intelligible word sequences that recover the meaning of perceived speech, imagined speech, and even silent videos, demonstrating that a single language decoder can be applied to a range of semantic tasks. To study how language is represented across the brain, we tested the decoder on different cortical networks, and found that natural language can be separately decoded from multiple cortical networks in each hemisphere. As brain-computer interfaces should respect mental privacy[9][6], we tested whether successful decoding requires subject cooperation, and found that subject cooperation is required both to train and to apply the decoder. Our study demonstrates that continuous language can be decoded from non-invasive brain recordings, enabling future multipurpose brain-computer interfaces. [1]: #ref-1 [2]: #ref-3 [3]: #ref-4 [4]: #ref-7 [5]: #ref-8 [6]: #ref-9

We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.