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Placeholder Social Media Post Generator

Feed mockups die when the posts inside them are Latin. This generator writes dummy posts shaped to four platform voices — short observational quips for Twitter/X, emoji-dotted lifestyle captions for Instagram, longer career-toned paragraphs for LinkedIn, and chatty communal updates for Facebook — each stamped with a fictional name and a timestamp like '2m' or 'Yesterday', plus a handle in the Twitter style. Pick the platform and a count from 1 to 15. Post bodies come from curated pools of 15 to 16 per platform, drawn without replacement, so the tone stays consistent and even a max 15-post batch never repeats a body. Names and handles are drawn independently of each other, so treat the identity line as pure filler rather than a matched profile. The output is plain text ready for Figma or code, and everything in it is invented: no real people, brands, or events. Scan it once before a public-facing screenshot, then let stakeholders react to the layout instead of the placeholder.

Read the complete guide — 4 min read

How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Select your target platform from the dropdown — Twitter/X, Instagram, LinkedIn, or Facebook.
  2. Set the count field to the number of placeholder posts your mockup or prototype needs.
  3. Click Generate to produce a fresh batch of platform-appropriate dummy post text.
  4. Copy individual posts directly into your Figma frames, code components, or demo database.
  5. Re-click Generate to get a new variation if any post is too similar to another or doesn't fit your layout.

Use Cases

  • Filling a Twitter/X feed component in Figma with correctly-sized, hashtag-free dummy tweets
  • Populating a Storybook story for a LinkedIn post card with professional-tone placeholder copy
  • Generating Instagram captions with hashtags and emojis for a client-facing grid mockup
  • Seeding a local demo database with varied post text to test a social feed's truncation logic
  • Creating realistic app store screenshots showing a populated Facebook-style feed UI

Tips

  • Generate LinkedIn posts specifically when testing text truncation — they're naturally longer and stress-test your 'show more' component.
  • Mix platform styles intentionally: use Twitter output for notification previews and LinkedIn output for activity feed cards in the same prototype.
  • Run two separate generations for the same platform to get a wider variety, then cherry-pick the best-fitting posts for each card slot.
  • For usability testing, generate at least 12 posts so participants can scroll far enough to reveal genuine navigation and interaction patterns.
  • If a post contains an oddly specific phrase that distracts testers, swap one or two nouns rather than regenerating the whole batch.

FAQ

why use platform-specific placeholder text instead of lorem ipsum in a feed mockup

Lorem ipsum breaks the visual rhythm of a social feed — reviewers fixate on fake Latin instead of the layout. Platform-matched posts keep the right proportions: short quips for Twitter/X, longer LinkedIn paragraphs, emoji-flavored Instagram captions. Stakeholders give sharper feedback on content that feels plausible.

will the same post show up twice in a batch

No — each platform's pool holds 15 to 16 bodies and a batch samples them without replacement, so even the maximum 15 posts arrive with no repeated body. Names, handles, and timestamps are picked independently per post and can recur, but the body text won't. Separate runs draw from the same fixed pools, so batches generated back to back will overlap.

are the names and handles real people

No — names, handles, and content are all fictional and safe for client mockups and app store screenshots. Note that the name and handle on each post are picked independently, so 'Casey L.' may appear above '@samriv'; swap them manually if a reviewer would notice the mismatch.

do the posts match real platform character limits

They're sized to feel platform-appropriate — tweet-length one-liners, longer LinkedIn paragraphs — and everything falls comfortably under each platform's cap. They aren't generated against exact limits, though, so for boundary testing like a 280-character edge case, craft that string by hand.

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