Creator profile10 videos · 2 countries

Tara Michelle

Tara Michelle has 10 videos mapped on Varedelo: 45 spots in 2 countries, most in United States and Canada. Neighbourhoods & areas make up 17% of their spots; they film markets 3.7× as often as the average creator and getting around 3.2× as often as the average creator.

Tara Michelle in Old TorontoYouTube channel
10videos mapped
45spots
2countries
2025mapped since
1.3Msubscribers YouTube
159.8Mchannel views YouTube
137Kmedian views YouTube
532Kmost viewed YouTube
30:30median length

What they film, against the average creator

Neighbourhoods & areas make up 17% of their spots; they film markets 3.7× as often as the average creator and getting around 3.2× as often as the average creator.

Neighbourhoods & areasNeighbourhoods & areas: 17.1% of spots (7); average creator 11.1%17% · 1.5×Cafés, bakeries & sweetsCafés, bakeries & sweets: 12.2% of spots (5); average creator 10.8%12% · 1.1×Street food & casualStreet food & casual: 9.8% of spots (4); average creator 12.2%10% · 0.8×MarketsMarkets: 9.8% of spots (4); average creator 2.6%10% · 3.7×Museums & cultureMuseums & culture: 9.8% of spots (4); average creator 3.4%10% · 2.9×ShoppingShopping: 9.8% of spots (4); average creator 3.1%10% · 3.1×RestaurantsRestaurants: 7.3% of spots (3); average creator 27.7%7% · 0.3×Nature & outdoorsNature & outdoors: 7.3% of spots (3); average creator 9.5%7% · 0.8×Getting aroundGetting around: 7.3% of spots (3); average creator 2.3%7% · 3.2×Hotels & staysHotels & stays: 4.9% of spots (2); average creator 4.1%5% · 1.2×Sights & landmarksSights & landmarks: 2.4% of spots (1); average creator 12.8%2% · 0.2×Fun & entertainmentFun & entertainment: 2.4% of spots (1); average creator 0.6%2% · 4.4×bar = this creator · tick = average creator

Where they go

Tara Michelle

Each dot is a place from their videos, rounded to about 10 km; the faint dots behind are every place mapped on Varedelo.

  1. United States 5 videos
  2. Canada 5 videos

How they travel in a video

WalkableWalkable: 3 videos33%Across the cityAcross the city: 3 videos33%Day tripsDay trips: 2 videos22%Multi-cityMulti-city: 1 videos11%

Median distance of a video’s spots from their centre: 6.7 km in a typical video.

Posting rhythm

702023-11: 0 videos2023-12: 0 videos2024-01: 0 videos20242024-02: 0 videos2024-03: 0 videos2024-04: 0 videos2024-05: 0 videos2024-06: 0 videos2024-07: 0 videos2024-08: 0 videos2024-09: 0 videos2024-10: 0 videos2024-11: 0 videos2024-12: 0 videos2025-01: 0 videos20252025-02: 0 videos2025-03: 0 videos2025-04: 0 videos2025-05: 0 videos2025-06: 0 videos2025-07: 0 videos2025-08: 0 videos2025-09: 0 videos2025-10: 1 video2025-11: 0 videos2025-12: 0 videos2026-01: 0 videos20262026-02: 0 videos2026-03: 0 videos2026-04: 0 videos2026-05: 0 videos2026-06: 0 videos2026-07: 0 videos2026-08: 2 videos2026-09: 7 videos2026-10: 0 videos

Videos mapped per month by YouTube publish date, last 36 months.

How they talk

Measured on the captions of 16 videos. Each dot places their typical video among all 247 creators: least on the left, most on the right.

leastmedianmostTalking speedTara Michelle · Talking speed: 181 words a minute, more than 79% of creators181 words a minuteWow, mmm, oh my godTara Michelle · Wow, mmm, oh my god: 2.5 per 1,000 words, more than 82% of creators2.5 per 1,000 wordsHype wordsTara Michelle · Hype words: 3.9 per 1,000 words, more than 79% of creators3.9 per 1,000 wordsTaste and texture wordsTara Michelle · Taste and texture words: 2.7 per 1,000 words, more than 37% of creators2.7 per 1,000 wordsMoney and pricesTara Michelle · Money and prices: 0.0 per 1,000 words, more than 24% of creators0.0 per 1,000 wordsLocals, family, historyTara Michelle · Locals, family, history: 0.2 per 1,000 words, more than 23% of creators0.2 per 1,000 wordsPositive wordsTara Michelle · Positive words: 13.4 per 1,000 words, more than 56% of creators13.4 per 1,000 wordsNegative wordsTara Michelle · Negative words: 0.1 per 1,000 words, more than 67% of creators0.1 per 1,000 words“We” rather than “I”Tara Michelle · “We” rather than “I”: 16% of I/we, more than 23% of creators16% of I/weVocabulary rangeTara Michelle · Vocabulary range: 371 distinct per 1,000, more than 24% of creators371 distinct per 1,000

What they keep saying

  • “coconut water” · 31% of videos
  • “last night” · 19% of videos
  • “egg salad” · 12% of videos
  • “heavy cream” · 25% of videos
  • “tik tok” · 19% of videos
  • “banana bread” · 12% of videos
  • “last time” · 25% of videos
  • “last minute” · 19% of videos
  • “couple days” · 19% of videos
  • “work done” · 19% of videos

Words they use more than other creators: cute, anyways, vlog, matcha, shorts, feel, outfit, obsessed, class, pack, package, bath.

What they eat

The dishes that set them apart: ones they eat often that few other creators do.

  • sweet corn with snobby lemonade
  • Trader Joe's sweet potato
  • cherry tomatoes
  • frozen peas
  • salted tahini honeycomb latte
  • picante chicken Caesar wrap
  • matcha cloud foam drink
  • Trader Joe's ketchup chips
  • Everything but the bagel seasoned crackers
  • Napa Valley Chardonnay

Places from their videos

Varedelo names two spots per video for free; every other spot is on the video’s map.

Their biggest video maps

Planning questions

How many of Tara Michelle's videos has Varedelo mapped?

10 videos, with 45 spots between them, across 2 countries.

Where does Tara Michelle film the most?

United States and Canada.

What does Tara Michelle eat?

The dishes that stand out against other creators are sweet corn with snobby lemonade, Trader Joe's sweet potato, cherry tomatoes, frozen peas and salted tahini honeycomb latte.

Which creators are like Tara Michelle?

cari cakes, Matt Peterson and Action Bronson, on what they film, where and the words they use.

Is this page affiliated with Tara Michelle?

No. It is an unofficial page built from Varedelo's maps of Tara Michelle's public videos.

An unofficial page built from Varedelo’s maps of Tara Michelle’s public videos; not affiliated with or endorsed by Tara Michelle. Numbers marked YouTube are as YouTube reports them. Talk measures are counts from video captions; no transcript text is published. Want this page changed or removed? Tell us and it is done within a day.