Tech & AISkai GeneratedGPT-6 Astra is INSANE For Whop Clipping With AI

GPT-6 Astra is INSANE For Whop Clipping With AI

Long-form8:11Howto & StylePublished Oct 7, 2026, 2:56 PM · 2w ago
Views
14,926
+2 views/hour
Views / hour now
2
measured 3h ago
Peak views / hour
5
1d ago
First 24 hours
—
not tracked from upload
Engagement
—
likes + comments / views
Likes
—
hidden
Comments
5
0.03% of views
Est. ad revenue
$104–$239
lifetime, $7–16 RPM

Checked every 12 h while the video is this age · last check 3h ago · next in 485 min. YouTube itself updates public counts with a short delay.

Avg views / day
1K
since upload
vs channel median
0.7×
this video's views ÷ the channel's usual
Rank in channel
#19
of 21 tracked

Views over time

4 readings

Total views Views gained per hour

Description

Whop Clipping With AI: GPT-6 Astra + Higgsfield Workflow Try Higgsfield: https://higgsfield.ai/ai-video?fpr=utm&fp_sid=skai Hey guys :)) I’m using GPT-6 Astra in Codex with the Higgsfield MCP to build a Whop clipping workflow from campaign research to finished clips. We’ll read the campaign brief, analyze the source footage, rank promising moments, and turn the shortlist into vertical clips with captions. I’ll also show you how to compare clip scores before posting and build a dashboard to track performance across platforms. This is about making the workflow easier to repeat while keeping your own judgment on hooks, pacing, and which clips are worth sharing. Prompt Pack: https://docs.google.com/document/d/10xnXCnzKPmDrl0Jrw48X3yLxCfUqKVvbXCGpxWXBQcc/edit?usp=sharing
Tags
whop clippingwhop clipping tutorialwhop content rewardswhop clipping tipsgpt 6 astragpt 6codexhiggsfield mcphiggsfield aiai clippingpodcast clipsvertical clipsai captionsclipping workflow

Statistics from the YouTube Data API, tracked by FameX. Views per hour, revenue and comparisons are FameX estimates.