Show HN: I made an open-source Notion-style WYSYWIG editor

Notion seems to be the only player in the space that effectively uses its tables as linkable databases, most similar products seem to either lack table functionality or they're just simple formatted text.

So much of my daily work revolves around databases and Excel, I would love the ability to have multiple views of database tables embedded in a text editor, varied by context, with full backend control over the database itself. Bonus points if I could easily have scripts run on them in the background, almost like a programmatic kind of Excel.

‘>’ indicates where I typed ‘++’ and the resultant text is unedited.

It seems as though the AI response became “stuck” on a theme, and my renewed prompts were insufficient to cause it to change / reconsider context. . .

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Novel is a Notion-style WYSYWIG editor with AI-powered autocompletions.

what backend is used for the autocompletions in Novel?

The auto completions in Novel are provided by > The auto completions in Novel are provided by a sophisticated backend powered by state-of-the-art AI algorithms.

These start-of-the-art AI algorithms rely on underlying technology from > leading natural language processing (NLP) frameworks such as OpenAI's GPT-3 and BERT. These frameworks have been trained on vast amounts of text data to have a deep understanding of language patterns and context. By leveraging the power of thesed on massive amounts of text data and are capable of generating high-quality and contextually relevant suggestions for autocompletions. The backend of Novel leverages the power of these advanced NLP frameworks to enhance the user experience and provide accurate and helpful suggestions

Novel is funded by > d on vast amounts of text data to understand and generate human-like text. The backend infrastructure of Novel leverages the power of these pretrained models to provide accurate and contextually relevant autocompletions. The sophisticated algorithms in the backend analyze the input text

How is Nobel funded > d on vast amounts of text data and have achieved impressive results in various NLP tasks. The combination of GPT-3 and BERT allows Novel to generate highly accurate and contextually relevant autocompletions for users. The sophisticated backend continuously learns

what does novel cos > d on vast amounts of text data to generate high-quality autocompletions. The sophisticated backend in Novel leverages the power of GPT-3 and BERT, combining their strengths to deliver accurate and contextually relevant suggestions. With GPT-

It appears to be > d on vast amounts of text data to generate highly accurate and contextually relevant autocompletions. The backend infrastructure of Novel leverages the power of these NLP frameworks to process and analyze user input, allowing it to generate intelligent suggestions in real-time

What if I want to write about > d on vast amounts of text data, allowing them to generate accurate and contextually relevant suggestions. The backend of Novel utilizes a combination of these NLP frameworks to enhance the autocompletion capabilities. With GPT-3, the system can generate coherent

start a new topic > d on vast amounts of text data and have the ability to generate coherent and contextually relevant suggestions. The combination of GPT-3 and BERT allows Novel to offer a highly intelligent and accurate autocompletion feature to its users. The backend architecture _____