Emmanuel Kaiser

Founder @KashNerd., Entrepreneur & Investor. Helping millions pursue meaningful purpose.

[Emmanuel Kaiser @EmmanuelKaiser1]

“Feel the fear, feel the pain. Do it anyway. Do it again and again.”

[Emmanuel Kaiser @EmmanuelKaiser1]

Happy Father’s Day, @elonmusk. 12 kids, world’s first trillionaire.

[Emmanuel Kaiser @EmmanuelKaiser1]

@MyWestLord Guide

[Emmanuel Kaiser @EmmanuelKaiser1]

@s_mohinii Stack

[Emmanuel Kaiser @EmmanuelKaiser1]

True ✅

[Y Combinator @ycombinator]

"You need to make yourself a big target for luck, and the way to do that is to be curious. Try lots of things, meet lots of people, read lots of books, ask lots of questions."

— Paul Graham, How to Do Great Work

https://t.co/AyIk5fnKZL

[Emmanuel Kaiser @EmmanuelKaiser1]

@iamKierraD Interested

[Emmanuel Kaiser @EmmanuelKaiser1]

@Bober_smart Claude

[Emmanuel Kaiser @EmmanuelKaiser1]

Agentic trading is impressive, but it answers a question most retail investors aren’t asking.

The hard part was never placing the trade — it’s knowing whether you should, and why. That’s the layer we’re building at KashNerd.

The risk with “let AI trade for you” is it automates the activity without fixing the judgment. More speed, same blind spots. We’re more interested in AI that makes the human a better decision-maker.

[Emmanuel Kaiser @EmmanuelKaiser1]

@SpaceX is hiring extraordinary talent with exceptional skill. Apply below👇

[Elon Musk @elonmusk]

SpaceX is actively hiring world-class engineers/physicists for SpaceXAI, even if you have zero prior experience in AI. Smart humans figure it out fast.

Please send an email with ~3 bullet points demonstrating evidence of exceptional ability to [email protected].

[Emmanuel Kaiser @EmmanuelKaiser1]

What @elonmusk is basically saying is that there’s no fire 🔥 without a flame of smoke. The world won’t burn if there’d be no flames of conflicts and suppression.

[Resist the Mainstream @ResisttheMS]

Elon Musk: "Let's say you're praying to God and you ask for a given future. What future do you want God to give you? Probably, a future where there's amazing abundance for all."https://t.co/WRA4UKiLcW

"I think we want a future with love. That seems like a no-brainer. Peace is an interesting one because, you know, sometimes the price for complete peace may be too high because the complete peace may require too much suppression of the people."

[Emmanuel Kaiser @EmmanuelKaiser1]

So true.

[Elon Musk @elonmusk]

True

[Emmanuel Kaiser @EmmanuelKaiser1]

@zillionokoye Interested

[Emmanuel Kaiser @EmmanuelKaiser1]

@zillionokoye Interested

[Emmanuel Kaiser @EmmanuelKaiser1]

@HelenGuo_ Laundromat

[regent0x @regent0x_]

$4.2k/mo from 3 micro-saas apps with zero API costs

competitors pay $20-200/mo in openai and anthropic fees

he runs local LLM inference at 716 tok/s and pays nothing

same claude code workflow, same boring stack, completely different margins

the video shows his setup - macbook with oMLX dashboard on one side, claude code terminal on the other. the stats are right there on screen: 2.4 million tokens processed, 95.1% cache hit rate, 716.3 tok/s inference speed. model running is gemma-4-2b quantized, eating 28GB of his 36GB memory

this man turned a laptop into a production inference server

the edge most indie hackers miss: everyone obsesses over the product, nobody optimizes the infrastructure. he found the arbitrage

his build process is identical to the standard playbook. next.js, supabase, stripe, vercel. CLAUDE.md file with stack conventions. claude code handles development, writes clean code on first try

the difference hits when the product goes live

most micro-saas founders watch margins shrink as users scale. more customers means more API calls means more costs. some hit 30-40% of revenue just on inference

his products:

→ competitor price tracker for shopify owners: 34 users × $29/mo = $986/mo
→ email subject line optimizer for newsletters: 52 users × $19/mo = $988/mo
→ customer support auto-responder for small stores: 89 users × $25/mo = $2,225/mo

$4,199/mo total revenue

API costs: $0

the workflow:

development → claude code builds features, handles complex logic, one task at a time with specific prompts
production → all LLM calls route to local inference via oMLX. 716 tokens per second, 95% cache hits, runs while he sleeps

his competitors on the same products pay $150-400/mo in API fees. at scale some pay $1,000+

the breakeven math: a decent local setup pays for itself in 3-4 months. everything after that is pure margin advantage
competitors need 50 users to cover costs

he profits from user #1

the dashboard keeps counting tokens, the terminal keeps running, and every dollar after stripe fees goes straight to his pocket

[Rohit @rohit4verse]

Anthropic CEO: "we got seven more months."

the bet was a $1B one-person company by end of 2026. two-person AI companies already crossed $1B, one-person companies are past several hundred million.

not everyone can make a $1B company. but a $10K MRR AI agent company is on the table.

this guy dropped the exact roadmap.
Bookmark this and start this weekend.

[Emmanuel Kaiser @EmmanuelKaiser1]

@AiroPrompts Hi

[Emmanuel Kaiser @EmmanuelKaiser1]

@jn_jackk Invest

[Emmanuel Kaiser @EmmanuelKaiser1]

@araghougassian BET

[Emmanuel Kaiser @EmmanuelKaiser1]

@mchulet Working on an end-to-end AI-native operational intelligence platform for service businesses

[Anthropic @AnthropicAI]

We're launching the Anthropic STEM Fellows Program.

AI will accelerate progress in science and engineering. We're looking for experts across these fields to work alongside our research teams on specific projects over a few months.

Learn more and apply: https://t.co/MoF60j53pX