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v2.5 StablePikory 2026
Hashtag StatsBased on recent activity
Total Posts
39K
Avg. Views
207,906
Best Performing Reel View
1,867,142 Views
Analyzed Creators
12
Performance Context
Initial Batch12 reels analyzed

Trending Feed

12 posts loaded

What If I say ...πŸ’
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#whatif #johnnyorlando#music #
401,322

What If I say ...πŸ’ . . . . . #whatif #johnnyorlando#music #lyrics #explore #concert #songs #love #explorepage✨

What about us? #whataboutus #slowedsongs #pink #fyp
34,341

What about us? #whataboutus #slowedsongs #pink #fyp

λ°©κΈˆμ „μ— #λ²€μŠ¨λΆ„ 신곑 λ‚˜μ™”λ‹€!!πŸ”₯😍
λ‚˜μ˜€λŠ” λ…Έλž˜ λ§ˆλ‹€ λ„ˆλ¬΄ μ’‹μžλ‚˜γ… γ…œμ§„μ§œ λ―Ώκ³  λ“£μž..πŸŽ§πŸ‘

πŸ’Ώ
54,005

λ°©κΈˆμ „μ— #λ²€μŠ¨λΆ„ 신곑 λ‚˜μ™”λ‹€!!πŸ”₯😍 λ‚˜μ˜€λŠ” λ…Έλž˜ λ§ˆλ‹€ λ„ˆλ¬΄ μ’‹μžλ‚˜γ… γ…œμ§„μ§œ λ―Ώκ³  λ“£μž..πŸŽ§πŸ‘ πŸ’Ώ Benson Boone - What Was #BensonBoone #WhatWas #신곑 #μƒˆλ²½κ°μ„± #νŒμ†‘ #νŒμ†‘μΆ”μ²œ #λ…Έλž˜μΆ”μ²œ #κ°μ„±νŒμ†‘ #곡감 #music #pop #ν”Œλ ˆμ΄λ¦¬μŠ€νŠΈ #감성 #μΉ΄νŽ˜μŒμ•… #ν”Œλ¦¬ #ν›ˆλ‚¨

βœ¨πŸ“˜ WAS vs WERE – Small Words, Big Impact! πŸ“˜βœ¨

English bolt
16,897

βœ¨πŸ“˜ WAS vs WERE – Small Words, Big Impact! πŸ“˜βœ¨ English bolte time sabse common confusion hota hai πŸ‘‰ WAS ya WERE kab use karein? πŸ€” Aaj ise simple aur clear tareeke se samajh lo πŸ‘‡ πŸ”Ή WAS β†’ use hota hai Singular subjects ke saath πŸ‘‰ I, He, She, It βœ” Example: β€’ I was tired. 😴 β€’ She was happy. 😊 β€’ It was raining. 🌧️ πŸ”Ή WERE β†’ use hota hai Plural subjects ke saath πŸ‘‰ You, We, They βœ” Example: β€’ You were late. ⏰ β€’ We were friends. 🀝 β€’ They were playing. ⚽ 🎯 Golden Rule Yaad Rakho: πŸ‘‰ WAS = ek (singular) πŸ‘‰ WERE = ek se zyada (plural) πŸ’‘ Special Tip: β€œYou” ke saath hamesha WERE use hota hai (chahe ek ho ya zyada) πŸ”₯ ❌ I were ❌ (galat) βœ… I was βœ” ❌ He were ❌ βœ… He was βœ” ❌ They was ❌ βœ… They were βœ” πŸ“Œ Negative banane ke liye: πŸ‘‰ was not (wasn’t) πŸ‘‰ were not (weren’t) πŸ“Œ Question banane ke liye: πŸ‘‰ Was / Were + subject Example: Was she happy? πŸ€” ━━━━━━━━━━━━━━━ πŸ“ QUIZ TIME – Test Yourself πŸ‘‡ ━━━━━━━━━━━━━━━ 1️⃣ I ______ very tired yesterday. (a) was (b) were 2️⃣ They ______ at the party last night. (a) was (b) were 3️⃣ He ______ my best friend in school. (a) was (b) were 4️⃣ We ______ playing cricket in the evening. (a) was (b) were 5️⃣ You ______ very kind to me. (a) was (b) were ━━━━━━━━━━━━━━━ πŸ’¬ Apna score comment karo (5/5 πŸ”₯ ya 3/5 πŸ˜…) πŸ“Œ Save karo revision ke liye πŸ“€ Share karo doston ke saath ❀️ Follow for daily English tips πŸš€ Practice karo, confident bano, aur English ko apni strength bana lo! πŸ’―πŸ“šβœ¨

❀️
11,260

❀️

@georgebirge need you to release this song in the acoustic v
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@georgebirge need you to release this song in the acoustic version!! #countrymusic #GeorgeBirge #whateverthatwas #countryartist

πŸ«‚πŸ₯Ί
5,627

πŸ«‚πŸ₯Ί

what happend?
11,171

what happend?

Which U.S. war came first?... #quiztime #quiz #quizchallenge
5,612

Which U.S. war came first?... #quiztime #quiz #quizchallenge #quizzes #fyp

Follow @1am_lyrics_editz for more ✨
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🎢 What it is ⁉️
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1,867,142

Follow @1am_lyrics_editz for more ✨ . . 🎢 What it is ⁉️ . . Story shares are highly appreciated πŸͺ„ . . #englishsongs #englishlyrics #lyrics #aesthetics #ο½ο½…ο½“ο½”ο½ˆο½…ο½”ο½‰ο½ƒ #red #whatitis #doechii #overlay #moon #moonlight #selenophile #explorepage #1am_lyrics_editz

Top Creators

Most active in #what-was

Semantic Clustering

Reels Graph Intelligence.

Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #what-was ecosystem.

Strategic Implementation

Our semantic engine has identified these specific pattern clusters as high-affinity matches for #what-was. Integrated usage of #what-was with strategic Reels tags like #what time was it 18 hours ago and #what was queens last song is statistically linked to a significant increase in initial Reels discovery velocity.

In-Depth Hashtag Analysis: #what-was

Expert Review β€’ June 4, 2026 β€’ Based on 12 Reels

Executive Overview

#what-was is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 2,494,877 viewsβ€” demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @1am_lyrics_editz with 1,867,142 total views. The hashtag's semantic network includes 100 related keywords such as #what time was it 18 hours ago, #what was queens last song, #what was the first youtube video, indicating its position within a broader content cluster.

Avg. Views / Reel
207,906
2,494,877 total
Viral Ceiling
1,867,142
Best Performing Reel
Unique Creators
8
12 reels analyzed

Viewership & Reach Analysis

The 12 reels in this dataset have generated a combined 2,494,877 views, translating to an average of 207,906 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.

Top Performing Reel

The highest-performing reel in this dataset received 1,867,142 views. This viral outlier performance is 898% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag β€” breakout hits can achieve massive scale.

Content Overview & Top Creators

The #what-was ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @1am_lyrics_editz, has contributed 1 reel with a total viewership of 1,867,142. The top three creators β€” @1am_lyrics_editz, @lyricw_vibes, and @soniyadhariwal β€” together account for 94.4% of the total views in this dataset. The semantic network of #what-was extends across 100 related hashtags, including #what time was it 18 hours ago, #what was queens last song, #what was the first youtube video, #what was inside the box in castaway. Creators often use these tags together to reach overlapping audiences.

Discoverability & Reach Potential

The discoverability metrics for #what-was indicate an active content ecosystem. The average of 207,906 views per reel demonstrates consistent audience reach. For creators using #what-was, posting consistently with trending audio and relevant angles will help you get noticed.

Analyst Verdict

#what-was demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 207,906 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @1am_lyrics_editz and @lyricw_vibes are leading the charge, setting viewership benchmarks for the community.

Frequently Asked Questions

Everything about #what-was on Instagram

Frequently Asked Questions

How popular is the #what was hashtag?

Currently, #what was has over 39K public posts on Instagram. It is a highly active community focus area for creators and brands.

Can I download reels from #what was anonymously?

Yes, Pikory allows you to view and download public reels tagged with #what was without an account and without notifying the content creators.

What are the most related tags to #what was?

Based on our semantic analysis, tags like #what year was the challenger explosion, #what year was rakai born, #what was inside the box in castaway are frequently used alongside #what was.
#what was Instagram Discovery & Analytics 2026 | Pikory