25 year old Brandon Hong traded from ZERO to Hundreds of Millions with a simple 4 part system
@brandank_cr lays out how any trader can reliably beat the market and compound their way to Generational Wealth
He's also a prolific early stage investor, buying into the leading AI and Robotics labs before the hype train
This is a masterclass in market psychology and exposing yourself to trends in ANY MARKET
1:35 – Macro View & Why $SPCX will disappoint
7:20 – From meme coins to a repeatable trading system
9:27 – The framework behind Brandon's trades
12:37 – Why Brandon thinks crypto has changed forever
14:19 – Michael Saylor's biggest Bitcoin risk
23:04 – Why charts matter more than narratives
25:45 – The mindset shift that changed Brandon's trading
31:11 - You have to be Asset Agnostic
33:10 – Buy the rumor, sell the news
39:44 – Why all-time highs are bullish
44:22 – Why capital is leaving crypto
46:45 – The opportunity Brandon sees in private markets
49:52 – The easiest way to build wealth in private markets
52:22 – Why money isn't Brandon's biggest motivator
57:48 – How Brandon would start over from scratch
1:03:37 – Final thoughts
Andrew Kang turned a few early stage robotics investments into a $500 Million publicly traded empire @RoboStrategy
He is widely considered THE leading investor in robotics
@Rewkang believes the ChatGPT moment for Robotics is happening RIGHT NOW and it will be BIGGER THAN BITCOIN
This interview is a masterclass on Robotics investing in 2026
1:18 – Why robotics today feels like crypto in 2015
4:23 – Is robotics a bigger opportunity than Bitcoin?
10:30 – Robotics 101: players, problems & bottlenecks
16:40 – Who's leading the race: Tesla vs Figure
23:10 – China's 100+ robotics companies & the real investment risk
25:28 – US vs China: who's actually ahead?
33:40 – How many human jobs will be replaced?
38:00 – The "ChatGPT moment" for robotics
43:55 – UBI & the new social contract
46:30 – Why Andrew built Robo Strategy
51:20 – Lessons from Bitmine, MicroStrategy & Saylor
1:07:50 – The Boston Dynamics question
1:12:09 – His most contrarian bet: avoid model-only companies
1:19:55 – Tesla or Figure?
1:23:26 – Figure's valuation in 5 years: bear, base & bull
1:29:20 – Final words of wisdom
@WhiteWhaleLabs Thank you for this offer! I would like to talk to you about how not to lose yourself in markets in general and crypto specifically. I see people bearish real values and to much bullish "successful success" thing. How to find AND keep the balance is the real challenge.
Jane Street Quant ~$7M/year showed the fund's code that analyzes ALL MARKET data every millisecond
- the library that made $20.5B/year and nobody talks about
33-min guide on the code a tier-1 fund has been running for ~16 years to stay on top
bookmark & watch - instead of Netflix to learn how to do the same!
BREAKING: We just gave Claude access to the entire options and stock market.
It's the Unusual Whales MCP Server. It plugs directly into any AI assistant and gives it live, structured data on demand.
Build a trading bot. Build a finance dashboard. Build whatever you want.
This guy grew up in India. Got his master's degree at Cornell Tech in New York. Moved to San Francisco to build AI tools
and he's one of the key developers of a tool that almost every AI agent uses today
92,200 stars. 317 contributors. Open source.
browser-use gives an agent a real Chrome browser. The agent sees the page, clicks elements, fills out fields, reads results, follows links - exactly like a human at a keyboard
if two laptops in your apartment just filed an SS-4 - browser-use hit submit
→ https://t.co/Bo8xYd9HVc
Like + bookmark. It'll come in handy when you're building your first autonomous agent
🙏I read a Pelevin book there this moment was referenced and now I know exactly what sutra it comes from! thank you for that! This kind of insights are far more powerful for our growth than portfolio gains and that's why I enjoy reading your posts a lot, in portfolio growth is just portfolio growth...i'll meditate on this too.
Jane Street hired this junior at $220k-$600k /year because he uses AI to analyse TRILLIONS of data
in this 1-hour lecture - he show how to research trillion of data points thanks to his machine
Bookmark & watch it, instead of Netflix to learn how to do the same!
This 20 minute walkthrough will teach you more about real-time prediction-market trading bots & exploiting WebSocket data feeds than a year at any algorithmic prop shop on Wall Street
bookmark this & watch, no matter what. It's the most productive thing you'll do this weekend. Then read article below
this 20 minute video will teach you more about why every retail sports bettor on Kalshi is the exit liquidity than most algorithmic traders learn in their entire career.
skip one show tonight and watch it
Polymarket is rolling out CLOB V2 on April 28. Here's why it matters to you
For traders:
> ~1 hour of downtime around 11:00 UTC. All open limit orders get wiped. If you LP across multiple markets, be ready to re-place
> USDC.e becomes pUSD. Website handles it automatically with one approval. Nothing to do
> Every order will show which app placed it on-chain. You can scan top wallets and see which copy trade bots they actually use
> Fees stay maker-rebate-positive. LP strategy unchanged
For devs:
> SDK swap is mandatory. @polymarket/clob-client → clob-client-v2. py-clob-client → py-clob-client-v2. Old packages stop working after cutover. Zero backward compatibility
> Constructor goes positional args → options object. chainId renamed to chain
> Order struct: nonce, feeRateBps, taker removed. timestamp (ms), metadata, builder added. EIP-712 domain version "1" → "2"
> Builder auth: HMAC headers and builder-signing-sdk are dead. Replaced with one builderCode (bytes32) field on the order. Get it from https://t.co/cJVUE8mRms
> Fees move out of signed orders to protocol-set at match time. fee = C × feeRate × p × (1 − p). Use getClobMarketInfo(conditionId) to query tick size, fee rate, min order size in one call
> Test against https://t.co/x8aSVRk0eP now. Production URL flips on cutover automatically.
90% of users won't read the docs. They won't notice the new on-chain data layer either
That's the window
This 1 hour MIT lecture will teach you more about building real Generational Wealth than 20 years inside any hedge fund, investment bank or financial institution.
Bookmark & watch, no matter what. It'll be the most productive thing you do this week. Then read the article below.
"Claude usage limit reached. Your limit will reset at 7pm"
every. fucking. day.
was about to pay $200 for Max. then I read this article
98.5% of tokens - wasted
you're not paying for answers. you're paying for Claude to re-read its own homework 30 times
spent months blaming Anthropic for being greedy. turns out the problem was how I write prompts
5 minutes of reading
basic plan now handles more than my old Max
This is one of the clearest explanations of why most AI systems fail in practice, it’s not the model, it’s the environment.
This breakdown shows why some teams are shipping 10x faster with the same models, bookmark this & read it properly or you’ll keep solving wrong problem.
This 1 hour IBM lecture will teach you more about quantum computing than 2 years of any physics program.
Netflix will still be there tomorrow. This edge will not.