#kauai #hawaii I still can’t believe this place was real will never forget
DAwv
@luffys_appetiteLike going places 🌲🫡 ☦️RU✝️H
🔎 Détails (profil + refresh) ouvrir
Meeting Cliffe and Stuart at A&M has been one of the sickest things I’ve done or gotten the privilege to do they are remarkable people, I’ll be posting my testimony soon. #cliffeknechtle #stuart #A&M @Stuart Knechtle
Turn 1 Long Video into 10 Viral Shorts
Upload one YouTube video and auto-generate multiple TikToks, Reels, and Shorts in minutes.
#sunsetcliffs > sunset spot
(Im doing online for first semster) cloud croft was sick tho
#japan was crazy it was a whole dif world and a brain altering exoerince very thankful to my parents for a sick #senior #trip
Turn 1 Long Video into 10 Viral Shorts
Upload one YouTube video and auto-generate multiple TikToks, Reels, and Shorts in minutes.
#fuji #japan was truly a life altering moment and i’ve been working hard to prepare for this so im proud i acompished it hiked from 5th satation at 11:45 PM and made sumit for sunrise by 5:15AMim thankful for my parents for being able to make this happen, and God for helping me persevere
Lake Tahoe 👍
I have beef with horse flys 🪰🔫 #bigasscanyon
- Je compte uniquement les vidéos ≥ 60 secondes (tu m’as dit que <60s = pas pris en compte).
- Calcul sur les 30 derniers jours (dans la limite des 35 dernières vidéos qu’on a dans le JSON).
- RPM estimé : 0.89€/1k vues (range 0.62–1.15) basé sur ER + save rate + durée moyenne.
- Résultat: 0€ sur 30j (range 0€–0€), pour 0 vues éligibles et 0 vidéos ≥60s.
- Emoji + note /10 = performance globale de la vidéo (views + ER + saves).
- ER = (Likes + Commentaires + Partages) / Vues • Save rate = Sauvegardes / Vues.
- Badges “Au-dessus / En dessous” = comparaison directe à la moyenne de TON compte.
Clipping is the fastest way to repurpose content: one long video becomes multiple short viral formats. Example: 1 YouTube video -> 10 Shorts/TikToks.
- 1 long video -> multiple Shorts/TikToks
- Auto subtitles synced to every clip
- Vertical exports optimized for watch time