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Want to comment under other people's posts and get discovered? The "Patrol list" finds fresh posts with rising likes and few comments. You can also see trending Threads posts, viral hashtags, top creators, and the best time to post. Free, no login, updated automatically.

Updated 7 min ago Data time: 2026/11/14 12:38 (Taiwan time)

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Region is based on the author's account location or the post's language; "estimated" may be inaccurate.

Collected today
108K
Japan · Posts newly collected today (last 24h 194K)
Tracked posts
236K
Japan · Posted in the last 7 days, being tracked
New posts
17.1K
Japan · Last 24 hours popular posts published
Like growth
+742K
Japan · Last 24 hoursLike growth
Posts with views
1.1M
Japan · Used to calculate engagement
Avg. engagement
2.3%
Japan · Total likes ÷ total views
Fastest-growing hashtag
#シャトレーゼのケーキ
Japan · Last 24 hoursLike growthmost
Hottest topic
子供服
Japan · Last 24 hours

Trending hashtags

Japan · Last 24 hoursHashtags of posts seen; tap to see that hashtag's posts, tap "→" for the hashtag page (thresholds, best times). "Growth" = likes gained in this period.

  1. Hashtag page →
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Status compares posts in the last 24 hours with the daily average of the previous 7 days: Surging sharp increase, Rising increase, Steady about the same, Cooling decrease, New just appeared.

Going viral

Posts with the fastest hourly like growth.

likes/h = average likes gained per hour while tracked (speed); Growth = total likes gained since first tracked (accumulated).

Best time to post

Median likes of posts by posting hour (Taiwan time). Last 24 hoursPosts published at 17 :00 perform best (median about 21 likes).

06121823:00

Want the full weekday × hour heatmap?See Viral Insights

Performance by media type

Average engagement of text, image and video posts (engagement = total likes ÷ total views).

TypePostsAvg likesAvg repliesAvg repostsAvg viewsEngagement
Text only 334K 405 18 7 12.3K 2.2%
Images 267K 414 16 8 14.7K 2.4%
Video 45.5K 621 16 16 21.8K 2.5%

High engagement

Posts with the highest like rate among viewers — examples of content that really resonates.

Posts seen by many but liked by few — compare to see what's missing.

Topic performance

Post performance by topic. Tap a topic to see its top posts.

TopicPostsAvg likesTop likesAvg viewsNew in 24hNew in 7 days
1.4K 303 86.9K 8.6K 110 902
1.1K 851 142K 27.8K 149 788
1.1K 273 60.2K 8K 70 759
1.1K 450 56.2K 5.4K 109 753
1.1K 286 57.7K 8.5K 105 730
1.1K 987 274K 21.8K 69 705
804 77 4.2K 5.3K 98 702
963 367 79.5K 7K 96 682
958 268 29.2K 4.3K 69 644
967 351 53.5K 8.5K 78 625
858 189 27.5K 9.1K 77 603
813 214 46.2K 9.7K 62 548
852 117 11.8K 2.8K 81 544
844 313 41.2K 16.5K 65 536
707 243 41.9K 4.8K 77 489
703 1K 62.2K 36.5K 85 469
762 266 23K 7.6K 46 465
672 188 22.8K 11K 38 465
640 411 184K 9.5K 46 441
681 329 22.2K 11.5K 66 427
676 243 34K 6.2K 56 399
572 238 97.1K 6.5K 43 376
530 34 1K 1.4K 44 365
457 369 27K 5.3K 76 332
512 22 909 2.4K 41 322
575 132 9.1K 3.4K 56 321
577 285 40.3K 9.6K 93 319
481 86 5.1K 9.5K 35 313
443 193 12.3K 19.6K 37 309
500 99 3.4K 9.6K 36 304
378 195 23.4K 6.9K 35 289
454 148 6.7K 6.1K 35 278
410 284 17.5K 15.5K 16 270
365 123 8.1K 47K 43 266
410 120 3.8K 11K 21 256
462 140 20.5K 5.7K 37 253
374 37 2.8K 2K 25 244
406 138 19.2K 7.7K 24 243
379 189 33K 1.8K 37 240
277 163 7.4K 2.4K 20 240
393 70 6.6K 4K 26 230
369 90 13.1K 9.7K 27 225
390 527 32.1K 9K 3 223
276 223 9.6K 1.7K 20 219
387 158 14.3K 11.6K 32 218
313 52 4K 5.4K 16 218
314 154 3.1K 9.9K 32 215
404 316 8.9K 34.5K 19 206
286 76 6.4K 10.3K 34 191
379 3.6K 150K 97.6K 17 184
299 51 3.6K 4.2K 25 182
333 921 72.3K 13.5K 2 180
210 139 4.7K 2.2K 52 179
362 951 80.2K 18K 2 164
188 1.2K 71.8K 26.8K 39 157
161 292 31.4K 20.4K 12 148
209 53 1.3K 16.8K 20 147
248 265 51.7K 3.3K 11 146
245 60 649 8.6K 14 143
216 159 7.3K 1.7K 37 143

Patrol list: find posts worth commenting on

"Patrolling" means commenting under other people's fresh posts. This list shows recently published posts with rising likes and few comments, sorted by likes per hour. Pick topics you know and leave thoughtful comments to get discovered.

  • Stay on topic: add your experience or opinion about the post — far more likely to get a reply than "nice!".
  • Don't copy-paste: pasting the same comment on many posts looks like spam.
  • Skip posts with thousands of comments: your comment gets buried; posts with few comments give you a better chance to be seen.
  • Keep a steady pace: pick a few posts a day you genuinely have something to say about — mass commenting can get you reported.
Loading…Preparing data…first-time queries take a few extra seconds
Collecting the latest posts for this hashtag — refresh in a moment to see more.

Last 6 hours — no posts about "日落" with few comments yet. Widen the time to 24 or 48 hours, try other wording, or clear the hashtag to see all posts.

, total posts Showing slightly older data

No posts match right now. Try widening the time to 24 or 48 hours, or raising the comment limit.

"Likes/h" = average likes gained per hour since posting — higher means it's rising now. Comment counts are snapshots; Threads shows the live numbers.

Want your own posts seen too? For some initial engagement on new posts, see Threads likes
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230,209 posts
Page 1 / 10
posts (growth and engagement sorting only pick from recent top posts) Growth = likes gained since first tracked Showing slightly older data

No posts match these filters. Try different ones.
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Region is based on public account info; "estimated" ones are guessed from post language and may be inaccurate. Defaults to the post region selected at the top (the creator ranking has no Japan; it's grouped under "Other")。

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2,812,655 creators
Page 1 / 10
creators Showing slightly older data

No matching creators.
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FAQ

What is Threads "patrolling" (海巡)?

"Patrolling" (海巡) is a common Threads term for actively browsing a topic and leaving comments under other people's posts — brands and creators use it to get discovered. When a brand or celebrity shows up in your comments without being tagged, people say you got "patrolled". The Patrol list on this page shows fresh posts with rising likes and few comments, so you can pick good places to join the conversation.

How do I patrol effectively?

Pick posts that were published a few hours ago, whose likes are rising and comments are still few — your comment is much more likely to be seen by the author and other readers. On viral posts with thousands of comments, yours gets buried. Stay on topic, add your own experience or opinion, and never paste the same comment everywhere; commenting too much in a short time looks like spam. Start with a topic you know well in the Patrol list.

How often is this data updated?

Data updates automatically; the time of the latest data is shown at the top of the page (Taiwan time), and the Patrol list refreshes about every 3 minutes. Likes, comments and views are snapshots and may differ slightly from the live numbers on Threads.

How many likes does a post need to be considered popular?

Open the Viral Insights tab and choose a topic to see its like thresholds over the last 7 or 30 days: the median is a typical post, while the top 10% and top 1% are good benchmarks for popular and viral. Thresholds vary a lot between topics, so compare with posts in the same topic.

How can I get my own posts seen by more people?

Check the Best Time to Post to publish when engagement is highest, lead with the key point and use short paragraphs. Whether to ask a question or add images depends on your topic — compare with the copy patterns of top posts in Viral Insights. Reply to comments quickly and engage genuinely under posts in the same topic. If a new account wants some initial engagement to get started, iFans also offers Threads likes and followers services.

Data on this page is compiled from public Threads posts. Text, images and videos belong to their original authors, and every post links back to Threads.

Numbers are periodic snapshots and may differ from live counts on Threads. This site is not affiliated with Threads or Meta. If you are the author of a post and want it removed, please contact our support.

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