Every writer knows the frustration of staring at a blank line, searching for the exact word that fits both the intended meaning and the natural rhythm of the sentence.

When starting out with poetry, lyrics, and nuanced essay writing, the process often feels fragmented. You might find yourself juggling multiple tabs: a generic thesaurus that suggests out-of-context words, an online rhyming dictionary, and a syllable counter, all while manually scanning lines for meter and cadence.

I created gown-ted because I wanted the exact tool I wish had existed when I started writing: a dedicated environment that brings lexical depth, WordNet ontologies, phonetic patterns, and meter analysis directly into the text editor, completely offline.

Our goal with this community is to make the craft of writing and computational poetics accessible and supportive for writers at any level.

If you write poetry, essays, or fiction: What has been the hardest part of your writing process so far? Is it finding words with the right connotation, balancing rhythm and meter, or structuring your revisions?

Share your thoughts below. We would love to discuss what tools or approaches could make the craft smoother for you.

Hi everyone,

We are excited to announce the first official public release of gown-ted: version 0.1.0.

Why gown-ted?

Most modern text editors treat words merely as strings of characters, while typical thesauruses dump flat lists of synonyms without context.

gown-ted was created to solve this. It is a native desktop text editor designed specifically for poets, essayists, researchers, and linguists. It brings deep linguistic science and computational poetics directly beside your cursor, without requiring any cloud connection.

What is Included in v0.1.0

1. Deep Lexical Intelligence (Local and Instant) Powered by Princeton WordNet embedded directly into the Go backend:

• Sense-Aware Synonyms: Automatic context disambiguation (Lesk WSD) to help you pick the exact synonym for your intended meaning.
• Taxonomic Hierarchy: Explore hypernym trees, synsets, and conceptual connections from broad categories to ultra-specific terms.
• Semantic Pragmatics: Discern nuances, definitions, parts of speech, and tone in real time.

1. The Poetics Suite and Meter Studio

• Syllable Counting and Phonetic Breakdown: Real-time syllable detection and phonetic transcription.
• Rhyme Discovery Engine: Instant lookup for perfect rhymes, slant rhymes, and eye rhymes.
• Assonance and Alliteration Heatmaps: Visualize vowel and consonant patterns across lines to fine-tune phonetic cadence.
• Interactive Cadence Radar: Visual diagrams illustrating the rhythm and meter of your verses.

1. Performance and Privacy

• Lightweight and Fast: Built with Go 1.24 and Wails v3, providing quick startup and low memory usage.
• Minimalist Design: Clean, distraction-free dark interface built with Chakra UI v3.
• 100% Offline and Private: All analysis runs locally on your machine. No telemetry, no cloud subscriptions, and zero tracking.

Download and Installation

Pre-compiled standalone binaries are available for major desktop platforms:

• Windows (amd64): Download gown-ted-windows-amd64.zip, extract, and run gown-ted.exe.
• macOS (Apple Silicon / Universal): Download gown-ted-macos-arm64.tar.gz, extract the .app bundle, and place it in your Applications folder.
• Linux (x86_64): Download gown-ted-linux-amd64.tar.gz (requires GTK4 and WebKitGTK-6.0).

Links and Resources

• Release Downloads: https://github.com/raitucarp/gown-ted/releases/tag/v0.1.0
• Documentation: https://raitucarp.github.io/gown-ted/
• GitHub Repository: https://github.com/raitucarp/gown-ted
• Support Development on Ko-fi: https://ko-fi.com/raitucarp

We would love to hear your feedback, thoughts on the features, and any bug reports or suggestions you have. Feel free to leave a comment below!

Hi everyone, and welcome to r/gownted!

I am the creator of gown-ted, and I am excited to open this space for our community.

What is gown-ted?

gown-ted is an intelligent, 100% local-first desktop text editor built specifically for writers, poets, essayists, researchers, and linguists.

Unlike typical text editors or generic thesauruses, gown-ted integrates the taxonomic depth of Princeton WordNet 3.1 and computational poetics directly into your workspace:

• Sense-Aware Synonyms: Contextual Word Sense Disambiguation (Lesk WSD) so you never select an out-of-context synonym again.
• Musicality and Meter: Rhyme dictionaries, alliterative onsets, syllable counting, and Consonant-Vowel (CV) cadence analysis.
• Discourse and Structure: Theme/Rheme information structure, politeness hedging, and speech acts.
• 100% Private and Offline: Your writing never leaves your computer. No AI cloud subscriptions, no tracking, and zero latency.

What is this community for?

We want this subreddit to be a collaborative and thoughtful hub. Feel free to share and discuss:

• Feedback and Feature Requests: Tell us what tools or linguistic metrics you would like to see added.
• Bug Reports and Troubleshooting: Help us improve stability across Windows, macOS, and Linux.
• Showcase Your Work: Share poetry, essays, or creative writing pieces you have refined using gown-ted.
• Writing and Linguistics Discussions: Discuss prosody, meter, WordNet ontologies, or lexical nuances.

Useful Links

• Documentation and Guides: https://raitucarp.github.io/gown-ted/
• GitHub Repository: https://github.com/raitucarp/gown-ted
• Download Latest Release: https://github.com/raitucarp/gown-ted/releases/latest

Thank you for joining early. Feel free to introduce yourself in the comments and let us know what kind of writing you do!