FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB AGENCY. SAME ANIMATED SITE, ONE SESSION, ~$12 IN CREDITS.
stop paying a studio $6,000-$35,000.
stop wiring GSAP, Lenis, and frame extraction by hand.
Claude Code writes it. Higgsfield renders it.
WHAT SHIPS OUT OF ONE SESSION:
→ a fully animated, scroll-driven site
→ cinematic motion clips from 30+ generative models
→ GSAP ScrollTrigger timelines - zero hand-coded
keyframes:
→ Lenis smooth-scroll, tuned pacing
→ automated frame extraction + asset optimization
→ six cinematic effects, no config: film grain, particles, vignette, glass cards, color tints, scroll pacing
→ responsive layout + copy
THE STACK:
→ Claude Code - concept, scaffolding, scroll code, QA
→ Higgsfield (MCP) - hero clips, transitions, ambient loops, thumbnails
→ GSAP + Lenis - the motion layer, written for you
CONNECT HIGGSFIELD (MCP):
add it as a custom connector in Claude Code:
mcp_servers:
higgsfield:
url: "https://t.co/ccj3bJ8Bcy"
one OAuth flow. done.
now Claude generates and pulls clips directly - no manual exporting.
WHAT TO PROMPT:
concept + scroll:
"read this brief, script the scroll - what the visitor feels at second 3, 15, 40. scaffold with GSAP ScrollTrigger + Lenis."
motion assets:
"generate the hero sting and one b-roll clip per section. 3-5s, high-res."
polish pass:
"bake in film grain, particles, vignette, glass cards, color tints, scroll pacing. no config."
QA:
"check load speed, mobile breakpoints, and whether the scroll actually lands. rewrite whatever doesn't."
WHAT THIS REPLACES:
→ web studio build: $6,000-$35,000+
→ motion artist: $800-2,000/project
→ front-end dev: $2,000-10,000/project
→ weeks of handoffs: gone
Fable 5 + Higgsfield: a subscription + a few dollars of credits. one session.
SETUP IN 10 MINUTES:
- install Claude Code
- add the Higgsfield MCP + authenticate
- drop your brief + references
let it scaffold, generate, and animate in one pass
preview, send fixes in plain English, ship
the pipeline was the moat.
it just became a prompt.
Follow me, comment "HIGGSFIELD" and I'll send you the full step-by-step Playbook.
full breakdown in the article 👇
@justabdulraouf Google Health (fitbit) is for linking devices like fitness watch etc.
Google Fit = Apple Fitness (for activity tracking)
Google Health Connect is like a data hub = Apple Health.
Wait 3 ish months, they merging stuff soon. (Simplifying)
Two Bulgarian friends killed the entire streaming industry.
It's called Stremio + Torrentio. You get 4K content from Netflix, Disney+, Hulu, and HBO Max combined for free.
Here's how it works.
Stremio is the player. Clean interface. Works on Windows, macOS, Linux, Android, iOS, and TV. You install it once and it looks like any other streaming app.
Torrentio is the addon. You add it to Stremio in one click. It scrapes content from every major torrent provider on the internet simultaneously and delivers the best available stream directly to your player. 720p, 1080p, 4K. You pick the quality. It finds the link.
→ No account required
→ No subscription
→ Works on every device
→ 4K and HDR supported
→ Subtitles built in
Netflix cannot shut this down. There is no central server to seize. No company to pressure. No domain to kill. It runs on your device and pulls from the open internet.
The entire streaming industry is built on one assumption. That you will keep paying $70/month rather than spend 5 minutes on GitHub.
That assumption just died in Sofia, Bulgaria.
MIT License. 100% Opensource.
https://t.co/yEljDh5DQy
Get the addon here: https://t.co/XhpPDERP2i
WHAT THEEEE!! 💀
Hopped on to @Windows after a long time,
Logged into @googleaccount on @MicrosoftEdge, it asked to import browser data.
I SKIPPED!
After while, received this Google Takeout Email that your chrome data is ready for export.
It was already DOWNLOADED AND SAVED.
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.