4 ways to ride stairs with the bike👀
Fabio Wibmer
@wibmerfabioProfessional Mountainbike Athlete from 🇦🇹
🔗 https://linktr.ee/wibmer ↗🔎 Détails (profil + refresh) ouvrir
Turn 1 Long Video into 10 Viral Shorts
Upload one YouTube video and auto-generate multiple TikToks, Reels, and Shorts in minutes.
new bike day🚲 Building up my Spectral:ON🔋 Now back on canyon.com
Riding the „Streif“ with my bike✅
Turn 1 Long Video into 10 Viral Shorts
Upload one YouTube video and auto-generate multiple TikToks, Reels, and Shorts in minutes.
Not the average rooftop ride👀 Shot on @insta360 official AcePro2
Cheers @Canyon for the rides🙏🏻 Got a -10% code for the Stitched 360 & 720 on the Canyon website 👉🏻Fabio10
Flipping the „Hausbergkante“ was scary😮💨 Especially with spikes on my bike
TB to this bench line 🔥🙏
Some tricks can take quite a few tries 😂 Fun to scroll through some old stuff 🙏🏼
🐎🚲
pov: It‘s new bike day😮💨 Shot on the @insta360 official GO ULTRA
Throwback to bringing out the trash for once 👀
Antwort auf @Rhonir No idea how they let us do this👀 @mastersofdirt POV shot on @insta360 official AcePro2
Satin white @insta360 X5 limited edition goes hard 🔥😮💨
@saalbach_com
Saalbach Sick Life on YouTube 🔥
- 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 : 0.86€/1k vues (range 0.6–1.12) 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