@breakcoreanimash: hi im back from hiatus i made this :) #disney #edit #2000snostalgia animash #furry #lapfox electronic music

breakcoreanimash
breakcoreanimash
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Region: US
Monday 29 June 2026 09:10:03 GMT
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danisimo_gambler
OMISINAD :
animash in big 2026?!?!!
2026-07-02 18:27:28
4
forcommonpeople
PC :
What songgggggg ik it’s a remix of Britney spearssss
2026-06-30 07:26:16
12
fillycel
vally ヽ(´o`; :
I loved animasj as a kid 😭💗
2026-07-03 17:19:32
3
tj_why
TJY 🦄 :
AGGH LAPFOX MENITONED RENARD SPECIFICALLY MENTIOEND YAYYY
2026-07-03 00:22:57
3
ibleedibruiseiheal
LookAlive$hy :
Sooo cuteeeeeeee omfg
2026-07-01 01:07:10
2
rareabbey8
Kat 𐙚 ‧₊˚ ⋅ :
FHIS IS MY FAVORITE LAPFOX SONG
2026-07-04 20:24:18
3
saltlagoon
⋆.˚ ★— SALT 🧂 :
this reminds me of those disney AMVs that used to be super popular in like 2010
2026-06-30 01:27:48
7
female._.deer
𓂃 . ❤︎ 𝓝 oelle :
THIS IS SO GOOD OMG
2026-06-29 09:33:02
1
_________iii____________
⨾Sasha/Ito · [🐈‍⬛🎸🍂] [🎪🥩] :
Omg thus is amazing
2026-07-07 14:05:13
1
milquerott
cuntfettikitten🧁🫧 :
lovvveeeeeeeeeuhhhhhhhh
2026-07-15 06:35:36
1
mickiesugarpuke
Mickie Sugarpuke 🍭💘 :
I LUV UR STYLE
2026-06-30 22:58:26
1
confettipopperz
kat ૮ • ﻌ - ა :
holy shit the song,,, the clips,, the editing,, everything about this is perfect I love this so much 😭😭💕
2026-07-08 06:27:52
0
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AI can already cut, caption and format a clip for you. Free GitHub skills teach Claude the editing part in minutes. So why isn't everyone going viral off podcast clips? Because editing was never the hard part. Choosing the moment is. AI does not know which 47 seconds out of a two hour conversation deserve to become the clip. No context. No content intelligence. Here is how you build that layer. Scrape the latest 100 clips from the biggest podcast short form accounts. Steven Bartlett, Chris Williamson, Alex Hormozi, anyone running serious long form volume. Capture views, post date, duration, transcript, text overlay and format. Then scrape their original long form episodes and pull the complete transcripts with timestamps. The timestamps are non negotiable. They are what lets Claude match every clip back to the exact episode and the exact moment it came from. Now you reverse engineer the decision. Why those 47 seconds. Where the clip starts. What context got removed. Whether the payoff moved forward. What spoken hook, text overlay and format they used. And how it performed against that account's normal clips. Run enough of these and the patterns surface. Turn the patterns into a Claude skill that understands how the best podcast teams select and package their clips. Then hand it any new timestamped transcript. It returns the strongest moments, exact timestamps, hook options, text overlays, formats and editing instructions. The editing skill does the easy part. None of this needs new software. The tools exist. The clipping skills exist. The data is public. Nobody is assembling it into an intelligence layer. Impossible to fail does not mean every clip goes viral. It means every clip starts with real evidence, and every result makes the next selection smarter. Build the selection layer first. The edit is the easy bit.
AI can already cut, caption and format a clip for you. Free GitHub skills teach Claude the editing part in minutes. So why isn't everyone going viral off podcast clips? Because editing was never the hard part. Choosing the moment is. AI does not know which 47 seconds out of a two hour conversation deserve to become the clip. No context. No content intelligence. Here is how you build that layer. Scrape the latest 100 clips from the biggest podcast short form accounts. Steven Bartlett, Chris Williamson, Alex Hormozi, anyone running serious long form volume. Capture views, post date, duration, transcript, text overlay and format. Then scrape their original long form episodes and pull the complete transcripts with timestamps. The timestamps are non negotiable. They are what lets Claude match every clip back to the exact episode and the exact moment it came from. Now you reverse engineer the decision. Why those 47 seconds. Where the clip starts. What context got removed. Whether the payoff moved forward. What spoken hook, text overlay and format they used. And how it performed against that account's normal clips. Run enough of these and the patterns surface. Turn the patterns into a Claude skill that understands how the best podcast teams select and package their clips. Then hand it any new timestamped transcript. It returns the strongest moments, exact timestamps, hook options, text overlays, formats and editing instructions. The editing skill does the easy part. None of this needs new software. The tools exist. The clipping skills exist. The data is public. Nobody is assembling it into an intelligence layer. Impossible to fail does not mean every clip goes viral. It means every clip starts with real evidence, and every result makes the next selection smarter. Build the selection layer first. The edit is the easy bit.

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