Leo

GTM at @higgsfield

[Leo @truejigga]

larpmaxxers used to pray for times like these

made with Higgsfield Genjutsu

@iinsightri in IG

[🍯 @gpumaxxer]

fake life maxxing 💀

with Higgsfield Genjutsu

📹: @iinsightri in IG

[Leo @truejigga]

@doseofcreative bro

[dos @doseofcreative]

I used to spend $9M/month on Meta Ads

Now I’m engineering that workflow into Higgsfield x GPT-6 Astra.

I used to test 4,500 creatives a month for \~50 winners at a 1% hit rate.

But such volume needs resources.

🧵 We made 8 skills for Paid Ads to make it with Astra – save this

[🍯 @gpumaxxer]

i’m a sugar daddy for men with GitHub accounts.

Marc got $68k and a Mercedes. you get a shot at $50k for building something people actually use with the Higgsfield API.

competition pinned. make me proud.

[Axultan @axultan]

I just gave the viral 3D fly its first aerodynamics test in a Navier–Stokes wind tunnel.

GPT-6 Astra visualized the vortex in interactive 3D through Higgsfield.

Here’s the result.

[Leo @truejigga]

@yuryatin2908 Its my bro

[余温 @gkxspace]

卧槽！谁不想在自己婚礼上搞这一出啊？？？

我看完这段真的惊呆了！

上面用 Seedance 2.5 在 Higgsfield 做的，下面是婚礼现场，新娘新郎坐在那看自己。

1900 年代的老码头、古罗马斗兽场、西部片骑马追火车、假面舞会......最后落回他们真实相遇的电梯。

AI 很大的意义，我觉得就在这种地方。

而且，兄弟们！这绝对是一门好生意啊！！！

谁结婚不想要啊？传统摄影根本拍不了这个，结婚、求婚这种事，有情感寄托，是给那两个人的，人就愿意为它掏钱。

况且，这种场景多的是：求婚、金婚、纪念日、孩子的成人礼，全是人这辈子最舍得花钱的时刻......

AI 视频的质量越来越高，门槛越来越低，想象空间越来越大。总之，大有可为啊兄弟们！！！

[Machina @EXM7777]

i'm currently building the best content creation agent in the world

very few people will get access, but those who do will dominate X and generate multiple 6 figures off it

it won't be another sloppy SaaS... but custom-built by my hands for days until it's absolutely perfect

[Leo @truejigga]

@EXM7777 Great

[Machina @EXM7777]

very important read:

[Leo @truejigga]

@omukare_wanwan is it seedance 2.5?

[Leo @truejigga]

@QingQ77 Is it seedance 2.5?

[Higgsfield AI 🧩 @higgsfield_ai]

Seedance 2.5 POV video.
The best AI video model is live.

Full prompt:
POV — Morning Commute in Coastal Japan | Ultra-Realistic, One Continuous Take

First-person POV, no cuts, one unbroken handheld-feeling shot from our own eyes on the way through a small seaside town. Ultra-photorealistic, phone-in-hand realism — natural camera micro-shake, subtle head bob with each step, occasional glance down at our own hands and shoes. 4K, shallow but natural depth of field, real morning light, no color-grading fantasy, no neon.

Beat 1 — Descending into the station (0–4s): We walk down worn concrete station stairs into a small coastal-town metro entrance, one hand loosely gripping a canvas bag strap that swings into the lower frame. Fluorescent tint mixes with daylight bleeding from the entrance behind us. Commuters pass in soft focus; we hear muffled announcements and the shuffle of footsteps.

Beat 2 — The orange cat (4–9s): We slow and crouch — the horizon dips as our POV lowers toward the ground. An orange tabby sits by a ticket-gate pillar, tail curled. Our hand (natural skin texture, slightly bitten nails, cuff of a sleeve) reaches into frame and gently strokes its head. The cat leans into the touch, eyes half-closing, ears flicking. We hold there a beat, warm and quiet.

Beat 3 — Boarding, settling by the window (9–14s): We rise, the horizon lifts, and we step through the train doors just as the chime sounds. POV turns and moves toward a window seat; we sit, and the frame settles against the glass. A faint silhouette of us ghosts over the view. The train pulls away with a gentle lurch.

Beat 4 — The shimmering sea (14–20s): Through the window, the town gives way to open coastline. Sunlight scatters across the water in thousands of moving sparkles — real specular glitter, not CGI bloom. Utility poles and wires strobe past in the foreground. We rest our chin lightly (subtle downward frame tilt), just watching.

Beat 5 — Rails into the sea (20–25s): The track curves and runs so close to the shore that the rails seem to vanish straight into the water — the sea fills nearly the whole frame, waves lapping right up to the ballast. Foam catches the light. We're gliding along the edge of the ocean, the horizon line steady, gulls crossing in the distance. Hold on this until the shot ends.

Technical spec: continuous POV, first-person, no cuts or transitions, natural handheld micro-motion, realistic morning ambient audio (station hum, cat, train chime, rail clatter, distant surf), authentic Japanese coastal-railway setting (Shimonada / Enoden-style seaside line), overcast-to-clear soft daylight, photoreal skin and fabric texture, 2.39:1 or 16:9, ultra-realistic.

Coming soon to Higgsfield.

[Machina @EXM7777]

Anthropic engineer:

"everyone out there is writing prompts, we're building systems that write their own"

this 30min course teaches you how Anthropic use loops to build agents that learn from their mistakes and improve autonomously

it's more valuable than most paid courses... watch it now

then read this article on how to build loops for AI video production using Higgsfield Supercomputer:

[Leo @truejigga]

@ErnestoSOFTWARE cooking

[0xMarioNawfal @RoundtableSpace]

Someone built a full FPS game solo inside Higgsfield Supercomputer using Kimi K3.

[Edward Luo @edwardluox]

I built an app that runs Claude Code, Codex, Cursor, Grok, Antigravity, OpenCode, and Pi side by side in my Mac notch.

Agent finishes → notch pops.
Needs approval → notch pops.
One click back to that exact session.

no more switching between apps.

[Leo @truejigga]

@Entrepenulian @RoundtableSpace Me

[Leo @truejigga]

@twoclipping PROMPTS

[Leo @truejigga]

this would be the most used feature in enterprise software history.
more than email. more than Slack. more than the entire Microsoft Office suite.
ship it and watch the corporate calendar collapse in real time.

[Big Timi @OrevaZSN]

Idea: An anonymous “vote to end meeting” button on Teams where if 50% of people press it, the meeting ends immediately.