PROPS

Yes, I still host @DAPS_RADIO We're currently working on something I can't talk too much about right now. Here is a list of some of my favorite interviews. DAPS will rise in front of your 👀

💡

Vibe coding to 50 Cent . Chat do you listen to music when you code?

CLAUDE TURNED $1,000 INTO $14,216 IN 48 HOURS. OpenClaw got wiped. Same challenge, very different outcome.

Anthropic dropped a 33 pages cheat sheet for building Claude skills resources.anthropic.com/hubfs/The-Comp…

don't get caught slippin!

this

@kuyabtc @mimetals Yup

@mimetals @TheRealProps this is real

after months away, not listening to spaces, not knowing what's happening in crypto, not looking at a chart. taking time to reflect on years of experiences, communities, memories, loss and growth and gains, I can stand on only one absolute truth. @therealprops is a real one.

@calwoodford LFG 👏👏👏💰

i vibe coded an mmorpg in 11 days lol 16 playable races 12 playable classes 13 quests 4 professions 38 npcs (32 with dialogue) flight paths shops and a currency system highscores multiple characters under one account weapons upgrades and armour sets guild formation full stats and resistances friend functionality zone-based chat functionality heavy metal soundtrack a jukebox with lots of other heavy metal tracks a talent system a levelling system a reputation system open-world pvp combat, pvp items, pvp currency and ranking system cool bipedal lobsters in black robes the team at @spawn are cracked @FinalAbyss_MMO for updates

$BTC the Market makers dont tell you about this range strategy. #61apes

Never forget your why💡

Bullish

@solgaminggear @de_dougdotsol 👀👀👀

Your aim feels off ? Your reactions feel late ? It’s not your skills. Your mouse is getting old. Time to upgrade.

@LEVERAGED_LABS 🤣🤣🤣

Haters will say this is AI slop.

This is someone's reality right now 🤣🤣🤣

@owoldestiny @henrythe9ths Boss move 💯💯💯

@henrythe9ths turning down a million to prove a point hits different when your unit economics just work

A founder turned down a $1M job offer from Meta to build a $5M ARR company with 9 people. His CAC is in cents. He has no sales team, no CS org, and no plans to build one (read on for the full playbook). Meet Ethan, the founder of Jobright, and if you are an early-stage lean AI company, this might be the most valuable thing you read this week. While every other AI startup was raising, hiring aggressively, and building org charts before they had customers, Ethan was talking to users (face-to-face). Their first million (revenue) was pure product-market fit mode. It came entirely from word of mouth, with users pulling in their friends because the product worked. The next four million came from clearly defining their ICP, tracking CAC, and obsessing over growth as a data-driven system. They built an experiment pipeline with a strict 7-day ship-or-kill rule. Channels that couldn't hit payback targets were automatically cut. And through all of it, the headcount barely moved. Because every time they spotted a repetitive workflow, their default instinct was to build an agent (when most founders hire). Their first internal AI agent took an enterprise manager from 5 accounts to 50, without any additional hires. Last month alone, they shipped 3 new internal agents: • An inbox agent that reads, classifies, and drafts responses • An ops agent that turns messy client requests into structured tasks • An outreach agent that finds relevant partners, writes personalized first messages, and runs follow-up sequences Each of those consumed hours of manual labor every week, but now they run on autopilot. That is what 9 people running like 50 looks like in practice. It is one of the best 0 to $5M stories I have come across in the lean AI space. So I spent hours going deep on every decision, system, and principle behind how they did this, and turned it into a super actionable playbook for founders who are pre-revenue or going from 0 to 1. Inside, you'll get: • The exact growth OS they used to go from $1M to $5M ARR • How they built internal agents that let 9 people do the work of 50 • The hiring filter that screens for true AI-native operators • The 2-question test every feature must pass before it gets built • How they structured growth after hitting PMF (the full funnel with owner metrics) • What building from $0 → $1M looks like vs. $1M → $5M • The data flywheel they've been compounding since day one that gets harder to replicate, and how to design yours from scratch Originally, I put this together as a resource for founders I work with directly. But the insights here are too actionable to keep internal, so I'm sharing them publicly. It's one of the most detailed operating blueprints I've put together for those aspiring to join the Lean AI Leaderboard. If you are one of them, grab this right away as it will save you months of expensive guesswork. Ethan, Eric, and team, welcome to the Lean AI Leaderboard!🚀 Link to the playbook: open.substack.com/pub/henrythe9t…

@MsLoveLiii @whitterss

Who is making these videos? lol 😂

@BrandonStraka @grok said this is cap

Lab results on Tom’s toothpaste: •Lead almost 50x over FDA cosmetic limits •Arsenic 81x higher •Cadmium 9x higher “The Toms toothpaste I was giving to my children tested for almost 50x that limit.” We’re being poisoned.

@ashen_one Dope🔥🔥🔥

my openclaw on opus 4.6 made something like this by itself in week that detects 6000 vulnerabilities on solana (rust) solshield.org