SHOW DIRECTORY
1000x
1000x is a crypto-markets podcast hosted by professional traders Avi Felman and Jonah Van Bourg, with expert conversations on the macro and micro factors behind digital money, tokenomics, and price action.
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MARKET UPDATE: Alts Ripping, Economy Crushing, Scammers Scamming — What’s Next?
Avi’s GP dispute alleges holders publicly promised to hold while selling concealed inventory, making on-chain wallet behavior the key test of verifiable trust.Both hosts contrast meme-coin speculation with positive-sum crypto built on “good product, good revenues, good team,” citing Avi’s ZRO-versus-ETH trade and Robinhood’s perpetuals rollout through Bitstamp.They frame five-year mega trends, retail investors’ tolerance for volatility and AI-driven concentration as the durable signals, while leaving the best expression—broad exposure or concentrated winners—unresolved.
MARKET UPDATE: Meta, Bitcoin, Crude And The Economy Are All Ripping. How Long Can It Last?
Avi frames ten-year yields above 5% as distrust in the Fed, supporting his long-and-strong stance on Bitcoin, Intel, and Nasdaq.AI-driven copper demand may push copper toward $8, while lab-grown diamonds at $6 per carat expose monopoly economics.Cheaper AI could expand usage and GDP, but rising yields pressure real estate as Jonah watches early-to-mid-2027 for capitulation.
MARKET UPDATE: How Situational Awareness Blew Up, Will Rates Nuke Us, What’s Next?
Leopold Aschenbrenner’s fund was margin-called after 4x leverage created roughly $120 billion of memory exposure, showing how public weakness can turn a sound AI thesis into a path-dependent liquidation.Both hosts are buying the dip, citing 40%-50% memory undersupply over the next 12 months.Watch whether the vanished $25 billion July bid delays recovery for 2, 3, or 5 weeks.
Ex-Palantir Analyst On The Inner Workings Of Intelligence & Markets In A World Of Socialism
Avi FelmanAlexander GoodJonah Van Bourg
Alex Good’s ad-buying strategy linked acquisition economics to market attention, from long EA/short Booking to Tesla clicks driven by “Elon Musk.”His “goldfish theory” favors recurring attention over forecasting, but fragmentation and trust can break the trade; he is bearish Palantir at 100x sales.He expects AI layoffs within 3 months, while politics and 6% annualized productivity could reshape the opportunity set.
Has Memory Bottomed?
Only 2.2% of US households pay for AI subscriptions, leaving a large adoption runway that could flow to Micron, MSFT, Meta and Google.A 40% memory drawdown has not ended Avi’s thesis, but Korean margin calls show bubble-like leverage, making forced selling and earnings misses the risks to monitor.
Are The AI Labs Getting Nationalized?
Avi FelmanAri PaulJonah Van Bourg
Ari Paul warns frontier AI labs could face a Los Alamos style lockdown or full US government control within three years, a risk he says markets are not pricing.He also argues AI is where crypto was in 2021-22, with 95% of companies still likely to fail and data-center overbuilding potentially echoing late-90s fiber.The monitor is whether nationalization, stolen IP, private alpha, rotating bottlenecks, and locked-in distribution reshape which AI economics reach shareholders.
Did Trillion-Dollar IPOs Break The Social Contract?
SpaceX, OpenAI, and Anthropic could debut at $1–1.5T+, pulling returns forward into private markets and potentially lowering future index-fund returns.As IPO lockup liquidity may flow into Austin and SF real estate, Ferraris, Pokémon cards, and collectibles, May CPI and 172K payrolls have pushed December hike odds from 45% to 70%, while both hosts hold substantial cash.
Is Robotics The Next Megabubble?
Avi FelmanAndrew KangJonah Van Bourg
Andrew Kang sees private robotics as crypto in 2014–2015, with market capitalization rising from $20B to $100–150B and potentially 100x upside toward a tens-of-trillions destination.Robo Strategy applies MicroStrategy’s accretive issuance model to private robotics, while a roughly one-year path from GPT-3 to GPT-5-level robotics, rising VC interest and severe failure risk make execution, NAV premiums and valuation marks the key watchpoints.
The Market Is Splitting In Two — How Do We Navigate it?
HP and Dell’s catchup rally alongside weaker Mag 7 leaders may signal a late-cycle shift into derivative trades, though Avi points to surging physical DDR4 demand as evidence against a bubble.The IBIT/MSTR pair trade, upcoming OpenAI and Anthropic supply, and Iran’s $200-crude downside scenario frame catalysts and risks for a concentrated, high-cash approach.
The 2028 Global Intelligence Crisis: Will AI Lead To A Market Crash?
Catrini’s 2028 scenario argues AI agents could erase services-economy friction, cut $150–500k SaaS jobs to $45k Uber work, and push prime-borrower defaults from private credit into insurance.Both hosts call collapse very unlikely by 2028, yet agree AI is deflationary: rates could go to zero, making volatility, policy response, and the pace of displacement key variables.