| name | social-media |
| description | Social media post guidelines for LinkedIn, Reddit, Twitter/X. Use when: "post on LinkedIn", "write a tweet", "draft a Reddit post", "share this", drafting announcements. |
| metadata | {"author":"epicenter","version":"1.0"} |
Social Media Post Guidelines
Follow writing-voice for tone.
When to Apply This Skill
Use this pattern when you need to:
- Draft LinkedIn, Twitter/X, or Reddit posts about product or technical updates.
- Announce features without hashtags, hype language, or template sections.
- Share implementation details developers actually care about.
- Reshape AI-sounding copy into concise, platform-native writing.
- Build short threads where each post carries a concrete standalone point.
Platform-Specific Brevity
- LinkedIn: 3-5 lines max. State the feature, drop the link, done.
- Twitter/X: Each tweet should have ONE idea. Don't overexplain.
- Reddit technical subs: Focus on implementation details, not benefits
What to Remove
- All hashtags except when platform culture expects them
- Section headers in post content ("## Implementation", "## Benefits")
- Bullet lists of features/benefits
- Marketing phrases ("game-changing", "seamless", "powerful")
- Call-to-action phrases ("See it in action!", "Try it today!")
- Redundant adjectives ("excellent", "really")
What to Add
- Specific technical details that developers care about
- Actual implementation challenges and solutions
- Links to relevant libraries/APIs used
- One unique feature detail ("with your model of choice")
- Disclaimers when recommending tools ("Not affiliated, it just...")
- Personal standards/opinions ("by my standards", "slated for cleanup")
- Proper punctuation for transitions (semicolons, periods; not space-hyphens)
Examples: Twitter/X
Single Tweet (Feature Announcement)
Good:
Whispering now does file uploads. Drag audio/video files in, get transcription out. Works with any OpenAI-compatible API.
Open source: github.com/EpicenterHQ/epicenter
Bad:
๐ Exciting news! Whispering now supports file uploads!
Drag and drop your files for instant AI-powered transcription. This is a game-changer for productivity! ๐ฏ
Try it now ๐
github.com/EpicenterHQ/epicenter
#OpenSource #AI #Productivity
Single Tweet (Technical Insight)
Good:
TIL: Tauri's onDragDropEvent works where web drag-and-drop doesn't. If you're building a desktop app with web tech, native drag-and-drop is ~20 lines and handles file paths the OS way.
Bad:
Just discovered something amazing about Tauri! ๐คฏ
Their native drag-and-drop API is incredibly powerful and seamlessly handles file operations that web APIs simply can't match.
This is why I love building with Tauri! ๐ช
The difference: the good tweet teaches something specific. The bad tweet expresses enthusiasm about nothing in particular.
Thread Structure (2-4 tweets max)
When a single tweet isn't enough, use a short thread. Each tweet should be self-contained enough to make sense if someone sees it in isolation.
Good:
Tweet 1:
Built a CRDT-based table storage that's 1935x smaller than Y.Map for the same data. The trick: store cells as "rowId:colId" keys in a flat array with LWW timestamps.
Tweet 2:
Y.Map creates one CRDT entry per key, each with metadata overhead. A flat YKeyValue array stores raw entries with timestamps; conflict resolution happens in userland. 524KB โ 271 bytes for a 50-row table.
Tweet 3:
Trade-off: you lose Y.Map's built-in observe() granularity. We rebuilt it with a CellStore layer that parses keys and emits typed change events. Worth it for the storage savings.
Source: github.com/EpicenterHQ/epicenter
Bad:
Tweet 1:
๐งต Thread: How we achieved a massive 1935x improvement in our CRDT storage! Let me walk you through our journey...
Tweet 2:
First, let's understand the problem. Y.Map is great but creates significant overhead...
Tweet 3:
So what did we do? We implemented an innovative approach using...
Tweet 4:
The results were absolutely incredible! Here are the key benefits:
- 1935x smaller storage
- Faster sync times
- Better conflict resolution
Tweet 5:
If you found this helpful, please RT and follow for more content like this! ๐
The good thread: each tweet has a concrete fact. The bad thread: tweet 1 is a hook, tweet 2 is setup, and the information doesn't start until tweet 3. The "please RT" closer is an instant credibility loss.
Examples: LinkedIn Posts
Good (Actual Human Post)
Whispering now supports direct file uploads!
Simply drag and drop (or click to browse) your audio files for instant transcription, with your model of choice.
Free open-source app: https://github.com/EpicenterHQ/epicenter
Bad (AI-Generated Feel)
Excited to announce that Whispering now supports direct file uploads!
This game-changing feature allows you to:
- Drag and drop any audio/video file
- Get instant, accurate transcriptions
- Save time and boost productivity
Built with the same philosophy of transparency and user control, you pay only actual API costs (just 2c/hour!) with no hidden fees or subscriptions.
Ready to revolutionize your workflow? Try it now!
GitHub: https://github.com/EpicenterHQ/epicenter
#OpenSource #Productivity #Innovation #DeveloperTools #Transcription
Examples: Reddit Technical Posts
Good (Focused on Implementation)
Hey r/sveltejs! Just shipped a file upload feature for Whispering and wanted to share how I implemented drag-and-drop files.
I used the [FileDropZone component from shadcn-svelte-extras](https://www.shadcn-svelte-extras.com/components/file-drop-zone), which provided a clean abstraction that allows users to drop and click to upload files:
```svelte
<FileDropZone
accept="{ACCEPT_AUDIO}, {ACCEPT_VIDEO}"
maxFiles={10}
maxFileSize={25 * MEGABYTE}
onUpload={(files) => {
if (files.length > 0) {
handleFileUpload(files);
}
}}
/>
```
The component handles web drag-and-drop, but since Whispering is a Tauri desktop app, drag-and-drop functionality didn't work on the desktop (click-to-select still worked fine). So I reached for Tauri's [onDragDropEvent](https://tauri.app/reference/javascript/api/namespacewebviewwindow/#ondragdropevent) to add native support for dragging files anywhere into the application.
You can see the [full implementation here](link) (note that the code is still somewhat messy by my standards; it is slated for cleanup!).
Whispering is a large, open-source, production Svelte 5 + Tauri app: https://github.com/EpicenterHQ/epicenter
Feel free to check it out for more patterns! If you're building Svelte 5 apps and need file uploads, definitely check out shadcn-svelte-extras. Not affiliated, it just saved me hours of implementation time.
Happy to answer any questions about the implementation!
Bad (Marketing-Focused)
## The Problem
Users were asking for file upload support...
## The Solution
I implemented a beautiful drag-and-drop interface...
## Key Benefits
- User-friendly interface
- Supports multiple file formats
- Lightning-fast processing
## Why This Matters
This transforms the user experience...
