Nathan

completely obsessed with direct response marketing

[Elon Musk @elonmusk]

Thank you on behalf of the amazing people of SpaceX, Tesla, Neuralink and Boring Company, without whom anything I have done would have been impossible

[Zack (Paid Ads Specialist) @zackpaid]

we're producing 100 meta ad creatives in 30min thanks to claude + higgsfield MCP

just imagine accessing:
- chatgpt images 2.0
- seedance 2.0
- opus 4.8

in the SAME claude chat

so i decided to document the step-by-step playbook behind how we generated multi-7-figures with this method

here's EVERYTHIGN we'll cover:

→ how to setup Higgsfield MCP:
connects Claude to 30+ image and video models through one endpoint, 2-min connect, no API key, existing credits carry over

→ the model stack:
which model when - ChatGPT Images 2.0 for text statics, Seedance 2.0 for animation, Kling 3.0 and Veo 3.1 for scaled winners

→ market research prompt:
produces an ICP pain map plus 7 ad angles ranked by differentiation (this is the angle that found an $8.4M-premium insurance hook)

→ creative strategy + copy stack:
3 angles x 3 copy variations each, written straight off the ICP pain map, production-ready

→ image generation:
full static ad creative in 60-90 sec, 3 composition variations per angle - a bar-chart static hit 5.1% CTR, the highest we'd ever tested

→ animation:
turn any static into a motion loop - one animated version ran +31% CTR over the same 14 days

→ the 7-day campaign test structure:
3 angles x 3 images x 2 formats = 18 variations, with exact day-3 and day-7 kill and scale thresholds

→ the localization add-on:
spin 3 city variations off any base creative - a real estate client hit $14.10 CPL on 479 leads, $43,575 in commissions

everything built after generating $10M+ across our clients' service based businesses at my meta ads funnel agency

and for 24h, EVERYTHING can be yours for free

like + comment "HIGGS" and i'll send it over

(must be following + RT for priority access)

[Nathan @nathanreimchevu]

@zackpaid Higgs

[Elon Musk @elonmusk]

Interesting

[Samrat Chowdhury @realsamratc]

@thsottiaux looks like something weird happened with the account 347bfc4a-01e3-4193-8467-9e46316d115e

Could you please check it out ?

[Nathan @nathanreimchevu]

@SocialtyPro Such a dumb take

[Nathan @nathanreimchevu]

@ReplitSupport Another error here, just submitted a ticket for.

Replit Teams members are not permitted to use Replit Agent.

[Nathan @nathanreimchevu]

@ReplitSupport Just sent you a DM, have urgent Client deadline really need help getting this looked at as soon as possible.

[Nathan @nathanreimchevu]

@ReplitSupport is the app down right now? Agent keeps working but is getting nothing done. It feels very stuck.

[Nathan @nathanreimchevu]

@ReplitSupport I submitted a ticket. I see a message of Agent encountered an error while running, we are investigating the issue.

Nothing is working. I cant even open a file. Nothing is working at all. Can you see my ticket and somehow restart the project?
@ReplitSupport

[Nathan @nathanreimchevu]

@ReplitSupport Its stuck loading agent is stuck not responding to input

[Nathan @nathanreimchevu]

@AWSSupport @marlowxbt This is comical, amazon support is useless unless on pointless stuff like this lol when you actually need them they are nowhere to be found lol

[Andrej Karpathy @karpathy]

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:

- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)

The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.

https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)

[AI Edge @aiedge_]

f*ck your weekend plans.

You NEED to:

• Learn Claude Code
• Set up Perplexity Computer
• Set up Claude Cowork (plug-ins, skills)
• Set up OpenClaw
• Experiment with agentic solutions
• Use AI to create a business plan & strategy
• Build an AI second-brain database
• Learn basic automation tools (Manus, MCP, Zapier)
• Become an elite prompt-engineer - the better you can communicate with AI, the better your Outputs
• Read AI articles
• Dive into robotics
• Research AI stocks/ETFs/investment arbitrages

The list goes on.

SO much to do.

[Nathan @nathanreimchevu]

@gothburz how is this so accurate

[Noah Kagan @noahkagan]

https://t.co/JGItLVN8mJ

[ℏεsam @Hesamation]

bro casually walks and explains 5 GPU performance optimization methods for LLMs. one of the most simple and intuitive explanations for beginners.

[Nathan @nathanreimchevu]

@ATTBusinessCare i need some help on an account that was created back in october. I have not been able to login with the app and received an emajl today. Can a support rep reach out please?

[Nathan @nathanreimchevu]

@ElonClipsX 🔫

[Nathan @nathanreimchevu]

@michelleefang Yes please!