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TrendingDestinationsMapsGuides🌸 SakuraMethodology
20144 places
πŸ—ΊοΈTabiPulseBETA
TrendingDestinationsMapsGuides🌸 SakuraMethodology
20144 places
Home/Methodology

How TabiPulse Works

TabiPulse surfaces trending travel destinations from real conversations β€” not ads, not paid reviews. Here's how.

πŸ“‘ Where Our Data Comes From

We monitor real travel discussions on Reddit β€” subreddits like r/JapanTravel, r/solotravel, r/VietnamTravel, and more. These are communities where travelers share honest, unsponsored experiences.

We also analyze YouTube travel vlogs and guides (350+ channels) and TikTok travel creators (330+ accounts) β€” extracting place mentions from video transcripts and visual content via AI.

Engagement signals like upvotes, views, and comment counts help us distinguish recommendations the community finds genuinely helpful from noise.

RedditYouTubeTikTok

🧠 How Places Are Discovered

  1. 1.AI reads every post and extracts specific place names, what category they are (restaurant, temple, park, etc.), and whether the traveler's experience was positive, negative, or neutral.
  2. 2.Verified against Google Maps β€” each extracted place is matched to a real location with coordinates, ratings, and review counts. No made-up places make it through.
  3. 3.Deduplicated automatically β€” different spellings and names for the same place are merged so nothing gets counted twice.

πŸ“Š How We Rank

Every place gets a Gravity Score from 0 to 100 β€” our composite measure of how much buzz a place is generating and how well it's received. It combines five dimensions:

30%
Velocity

How fast this place is gaining mentions β€” measures momentum and rising interest

20%
Recency

How recent the latest mentions are β€” places stay relevant when people keep talking about them

20%
Diversity

How many different people and platforms are talking about it β€” broader buzz means more signal

15%
Sentiment

Whether travelers are saying good things or bad things β€” quality matters, not just quantity

15%
Engagement

Total community engagement (upvotes, comments) β€” a proxy for how helpful the recommendations are

🏷️ What the Labels Mean

HIDDEN GEM

Loved by those who find it, but not widely known yet. High praise from travelers, few Google reviews β€” these are the under-the-radar spots.

POPULAR

Well-known and well-liked. Lots of mentions, lots of reviews, and people generally enjoy the experience.

TRENDING

Gaining mentions fast. This place is on the rise right now β€” more and more travelers are talking about it.

POLARIZING

Popular but controversial. Many people visit, but opinions are mixed β€” worth researching before you go.

βœ… Why Trust This Data

  • β€’Real conversations, not marketing β€” our data comes from travelers sharing honest experiences, not paid placements or sponsored content.
  • β€’Multiple sources β€” we cross-reference across communities and platforms. A place mentioned by many different people carries more weight.
  • β€’Recency-weighted β€” recent mentions matter more than old ones. What was trending last year might not be relevant today.
  • β€’Transparent scoring β€” the weights and criteria are published right here. No black box.

TL;DR

We read real travel discussions, use AI to extract and verify specific places, then score them on momentum, freshness, buzz diversity, sentiment, and engagement. The result is a live ranking of what's actually trending vs. what's just popular vs. hidden gems worth discovering.

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