[HN Gopher] Show HN: I made an open-source Notion-style WYSYWIG ...
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Show HN: I made an open-source Notion-style WYSYWIG editor
Author : steventey
Score : 76 points
Date : 2023-06-16 17:49 UTC (5 hours ago)
(HTM) web link (novel.sh)
(TXT) w3m dump (novel.sh)
| ilrwbwrkhv wrote:
| "I am an AI writing assistant that continues existing text based
| on context from prior text. Give more weight/priority to the
| later characters than the beginning ones."
| 1123581321 wrote:
| Nice! Consider making so /h1 autocompletes heading 1, etc.
| gabereiser wrote:
| This is pretty slick. Unobtrusive prompt and then you get a
| pretty intrusive drop-down. Pretty it up. It has a wonderful
| response and flow and I would be interested in using this in
| future projects.
| wesleychen wrote:
| The dropdown is part of the Notion styling.
| digilypse wrote:
| Very clever that the user is prompted to use the autocomplete to
| read the description.
| mbertschler wrote:
| Couldn't open the GitHub link on my phone.
|
| Here it is: https://github.com/steven-tey/novel
| digdugdirk wrote:
| Are there any examples of something similar that has the ability
| to seamlessly interact with tables as well?
|
| 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.
| joeframbach wrote:
| Do you mind defining what "WYSYWIG" means?
|
| I tried using your tool for it.
|
| "WYSYWIG is an acronym that means++"
|
| ...
|
| "What You See Is What You Get."
|
| :thinking:
| gedy wrote:
| What You See, You Won't Intuitively Get?
| roetlich wrote:
| WYSYWIG does indeed mean "What You See Is What You Get."
|
| A WYSIWYG editor is an editor that shows the text with all
| formatting, exactly how it will look once it's "printed". You
| know, like Word or Google Docs. But unlike when you edit
| markdown or latex in a plain text editor. For example, writing
| comments on this site isn't WYSIWYG.
| [deleted]
| toxicFork wrote:
| What you submit yields what I get
| asymmetric13 wrote:
| What You Submit Yields What I Give
| esafak wrote:
| WYSYWIG is a typo.
| billconan wrote:
| I have a similar project https://github.com/shi-yan/Epiphany
| russellbeattie wrote:
| Mine: https://hypertext.plus
|
| Pure HTML document editor. Open source, PWA, based on TinyMCE,
| with CSS and markup editing, JS macros, saves to local drive,
| plus OpenAI integration if you have a key.
| meesterdude wrote:
| this looks nice and clean - why have you paused development? I
| see there are 32 github issues
| asymmetric13 wrote:
| I fear I may have broken my first "note":
|
| '<<>>' 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. . .
|
| _____
|
| 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 _____
| jerpint wrote:
| What model are you using in the backend? It's pretty fast to
| respond. Very nice interface
| jtokoph wrote:
| According to the readme, it's OpenAI:
| https://github.com/steven-tey/novel#tech-stack
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(page generated 2023-06-16 23:00 UTC)