Summary

Bitcoin was the episode’s highest-conviction trade, with Will 8.5/10 long and Avi 8–9/10 as price pressed against an eight-month range near all-time highs. Avi saw either a fast breakout or rejection toward $65K; Will planned to leave spot and longer-dated WULF calls untouched for two or three months despite possible leverage flushes. His cycle-level framing: this may be the recurring stretch when “you kind of just, you wanna be long.”
The election was a catalyst, not the foundation of Will’s Bitcoin thesis. He expected a Trump win to attract more capital than any sell-the-news flow because perceived regulatory clarity and lower career risk could outlast the initial “DOGE effect”; a Kamala win might cause a leverage-clearing dip, but he would generally look to buy BTC. Either administration widens the deficit, while Fed cuts into a strong economy and calls to be “shorting sovereign debt, longing hard assets” reinforce Bitcoin’s macro setup.
Alts looked delayed by Bitcoin’s unstable position, not necessarily structurally dead. The market cap excluding BTC, ETH, and SOL was down roughly 50% even with Bitcoin near all-time highs, but Avi argued alts cannot run until BTC either breaks out or settles into a trusted range. His playbook: after a 5–10% “fat candle” above the range, buy the alts that have not moved and give the rotation about a week.
SOL was the clear relative winner, while Will rejected the Ethereum comeback trade and Avi rejected ETH outright. Will called Solana “the ETH of last cycle,” said SOL/ETH momentum was “too far gone,” and admitted his ETH/BTC attempt around the ETF launch “got hosed.” Avi was categorical: “ETH is completely and utterly fucked.”
COIN was one of Will’s main public-market crypto plays beyond Bitcoin. He bought longer-duration calls around $70 the prior October and framed Coinbase as perhaps the most “venture-style play” in public markets since Tesla a decade earlier. Base, custody, Circle exposure, staking, and wallet-as-a-service have diversified it from an exchange toward a “crypto super app.”
MSTR and AI-linked miners offered upside through financial and categorical rerating, but the hosts kept the structural risks visible. MicroStrategy’s proposed $42 billion three-year capital plan—including a $21 billion at-the-market equity program—amounted, by Avi’s estimate, to roughly doubling its BTC-buying pace, while repeated short-MSTR/long-BTC convergence trades may help sustain the premium. In WULF, the sharper thesis was an underappreciated site capable of doubling or tripling mining capacity, plus a potential rerating from miner to AI/HPC data-center operator.
The meme strategy was to own either established liquid winners or culturally legible tokens with durable identity. Will favored memes at least six months old and saw WIF and POPCAT as liquid vehicles for reflexive flows; his personal examples included XIN/ZYN, GIGA, and LOCK IN, which map onto language and “based culture” among younger traders. He bought LOCK IN near a $4 million market cap, sold after its run to $20 million and subsequent reversal, then watched it recover from an 80% drawdown and rise roughly 50-fold.
Will’s retail-bull case rests on a generation already trained to seek asymmetric payouts outside its salary. Friends placing 12–15-leg parlays to turn $25 into $1,000–$2,000 have the right “YOLO” psychology but often do not know how to use Phantom or MetaMask; a few viral wallet recordings could bridge that gap. He called it a “dopamine epidemic” and argued—explicitly for younger, smaller portfolios—that risking 5–10% on memes limits portfolio damage while offering the possibility of doubling the whole account.

Deep dive

1. A liquidity puzzle turned a value investor into a Bitcoin bull

Will’s entry began with an overnight stocking job at Michaels in late 2019. Looking for “beer money” and relief from eight-hour shifts beginning around 3 a.m., he moved from Joe Rogan-style entertainment into Preston Pysh’s We Study Billionaires, listening from the earliest episodes through roughly episode 100–150.
COVID supplied the puzzle that value investing could not answer cleanly: “Why are asset prices going up, but the economy seems to not be in such great shape?” Will concluded that liquidity and the number of monetary units in the system were driving assets, making Bitcoin the thing he wanted to own; he DCA’d nearly all his limited savings while fulfilling Target orders.
The Ben Graham, Phil Fisher, and Warren Buffett foundation still mattered because it showed him how investing should work under a sound cost of capital. Once post-2008 monetary intervention made markets “wonky,” his copy of Security Analysis became “just a paperweight,” but the contrast clarified Bitcoin’s role as a debasement hedge.
Will joined Bitcoin Twitter around June or July 2020 and began “relentlessly bull posting.” BTC’s move from roughly $8K to $60K–$65K gave his account exceptional tailwinds, but learning tactical trading was harsher: he lost heavily in his personal account and “ate some glass” through the 2022 decline before building Reflexivity Research.

2. The Bitcoin thesis eventually broke Will out of maximalism

Will began in the “everything but Bitcoin is a scam” camp, then decided the monetary conditions supporting Bitcoin also encourage speculative manias. His change of mind took about a year and a half and did not require believing every altcoin had lasting value.
His best historical specimen came from When Money Dies: Weimar’s collapsing mark sent gold parabolic in local-currency terms, but it also produced tremendous financial speculation. That second effect, Will argued, is “strategically not mentioned” by parts of the Bitcoin-only crowd.
His causal chain emphasized inequality: poor monetary policy raises asset prices, owners pull farther ahead, non-owners feel trapped, and speculation becomes a perceived escape route. Even if crypto contained “only meme coins and nothing else,” Will believed “the same backdrop that’s conducive for Bitcoin should be conducive for alts.”

3. SOL won the reflexivity trade while COIN became a crypto index

Solana was Will’s barometer for meme activity and the speculative cycle—the “ETH of last cycle” already embedded in participants’ minds. With SOL/ETH momentum “too far gone,” he saw no logical reason for SOL to stop outperforming ETH, even if both could rise in absolute terms.
Ethereum had already cost Will money: he tried ETH/BTC around the ETF launch and “got hosed.” His verdict was “Ethereum’s screwed”; Avi, who had talked Jonah out of his ETH, sharpened it to “completely and utterly fucked.”
Will bought longer-duration COIN calls around $70 the prior October because Coinbase looked less like a simple exchange and more like a public venture portfolio. He compared the setup to Tesla roughly ten years earlier: several business lines had been incubated through the 2022–2023 bear market but were not present in the same form during 2021.
Base had emerged as what Will considered the premier Ethereum L2, alongside custody, staking, Coinbase’s Circle stake, and wallet-as-a-service. Together they diversify Coinbase away from being just an exchange and make it a “crypto super app” or broad index on crypto activity excluding Bitcoin.

4. MicroStrategy’s premium may survive because convergence traders keep losing

The headline was MicroStrategy’s goal of raising $42 billion over three years, including a $21 billion at-the-market equity offering, largely to acquire BTC. Avi noted it had raised $2.1 billion in Q3 2024; annualizing that pace implied about $25 billion over three years, so the announcement represented roughly an 80% increase—or, more simply, a doubling of its buying speed.
Avi initially expected equity issuance to compress MSTR’s premium because Saylor sells stock to buy Bitcoin. Yet the same supposedly obvious convergence trade had failed repeatedly around the ETF period: “The premium just stays where it is,” making MSTR one of the market’s enduring mysteries.
Will’s positioning explanation was reflexive: systematic funds see a premium that “shouldn’t exist,” short MSTR against long BTC, and “perpetually keep getting blown out.” That makes MSTR a kind of leveraged, yield-generating Bitcoin vehicle with an additional short-squeeze dynamic layered on top.
Jonah’s pushback—worth keeping—was that non-redeemable BTC and an unexplained premium resembled a financially engineered, GBTC-like risk. Will did not dismiss it: he owned no MSTR, but prior debt work suggested only the Silvergate loan was at risk in 2022; if the software business services the debt and BTC rises, the structure remains viable.

5. AI power demand created a rerating trade in beaten-down miners

Will had stopped treating miners as simple BTC beta because dilution prevented them from trading that way. Many had been “diluting their shareholders into oblivion,” but their power access now made them plausible AI/HPC infrastructure plays as AI infrastructure demand expanded.
In WULF, Avi’s edge was not generic AI enthusiasm but one underappreciated site whose buildout could double or triple Bitcoin-mining capacity. Lower-cap miners receive sparse Wall Street coverage, creating situations where material capacity additions remain unpriced; that specificity mattered because mining itself is brutally cyclical.
Jonah’s industry anecdote exposed the old model’s weakness: a successful miner survived cycles partly by holding mined BTC, then attempting to realize gains around local peaks. That made it “actually a trading company” potentially valued near 20 times earnings, when Jonah thought a trading business deserved two or three times; AI-related operations could now improve that mix.
Will rotated his COIN calls into WULF around $4.20–$4.30 after reading a Cantor Fitzgerald comparison between miner multiples and AI data-center multiples. The opportunity was a “rerate trade” in how markets categorize the business, though he agreed that easy financing had preserved inefficient miners that might otherwise have capitulated.

6. Trump would amplify Bitcoin, but deficits carry the longer thesis

Will expected more net buying than selling on a Trump victory. The initial headline or “DOGE effect” might decay, but endorsements from the president and vice president could create longer-lived perceived regulatory clarity and reduce perceived career risk for professional allocators.
A Kamala win could cause a BTC dip and flush leverage; whether Will bought immediately would depend on the depth and positioning, but “generally, I think you wanna buy the dip.” He was less willing to hold weaker alts through that outcome.
Above the election sat the fiscal thesis: Will expected deficits to widen under either candidate and found it “incredibly bullish” that PTJ and Druck were publicly discussing being short sovereign debt and long hard assets. Fed cuts arriving into a strong economy strengthened the setup rather than signaling recession, in his reading.

7. Bitcoin must resolve its range before liquidity rotates into alts

Avi called the current BTC level “a pretty unstable price.” After eight months in a range, a breakout could produce a fast upside move that initially sucks liquidity from everything else; a rejection could send Bitcoin back toward roughly $65K.
Alts perform best once BTC reaches a level participants trust and then ranges. Avi’s example was the earlier move above $60K: the number itself mattered less than the belief that Bitcoin would not immediately lose it, freeing capital and attention to move outward on the risk curve.
Will’s preferred breadth chart—total crypto market cap excluding BTC, ETH, and SOL—was still down about 50% with Bitcoin only a hair from all-time highs. That gap supported a catch-up trade once BTC delivered a decisive “god candle.”
Avi’s execution rule was unusually concrete: when Bitcoin prints a 5–10% “fat candle” above the range and alts have not moved, begin buying them. The first two days might still hurt, but his observation was that by week’s end “everything’s up, like, 70%”; Jonah preferred this to waiting for individual alts to reach new highs.

8. VC alts were wounded, but Will would not declare them dead

Will’s confidence in beaten-down VC alts had declined as they remained weak immediately before the election. TIA and SEI were nearing his unspecified invalidation levels; on TIA, however, OTC activity, pre-unlock trading, the unlock itself, and BTC’s price action kept him from calling the event “super bearish.”
Jonah quoted Chiefing Za’s formulation that “Trump wins, crypto legal. Crypto legal, apps on crypto legal,” while immediately questioning whether the situation was more complicated. If that political thesis played out, Jonah identified Helium, DePIN, and Aave as possible beneficiaries, though he preferred buying confirmed post-election momentum over catching falling knives.
Will’s defense of selected VC tokens was psychological as much as fundamental. Many allocators want a thesis—network activity, commodity-like properties in an L1, or some other story—because they need something they can “hold onto to sleep at night” through three to six months of volatility.
His conditional call was a multi-week rebound under Trump because these assets were heavily shorted, underowned, and badly beaten down. Persistent weakness after a Trump win would invalidate the trade; he was unsure whether any rebound would become sustained and explicitly rejected holding much of the sector if Trump lost.

9. Memes need either deep liquidity or a culture people inhabit

Will separated meme exposure into two approaches. Larger allocators can buy established, liquid winners—preferably at least six months old—that reflexively keep attracting flows; WIF and POPCAT fit the three-to-five-token basket with substantial liquidity and leverage access.
His second approach was cultural edge: he cited XIN, which he said he bought near a $1 million market cap because he liked XINs and associated them with “based culture” among people in their early twenties; in the same discussion, he called ZYN an embodiment of that shift. The transcript uses both XIN and ZYN.
LOCK IN supplied the painful case study. Will bought near a $4 million market cap, watched it reach $20 million, sold as it rolled over, then saw it fall 80% before rising approximately 50-fold: “Everybody my age says lock in,” whereas, in his view, almost nobody his age naturally says MOG.
Animal memes face a harder path because nothing necessarily ties holders to the token unless a cult already exists, as with PEPE or POPCAT. Will later described a positive dopamine association with XIN because it is a nicotine pouch, while LOCK IN gives holders shared language; Jonah’s distilled rule was to find something that resonates early, because late buyers become “somebody else’s exit liquidity.”

10. Sports-betting behavior is the latent meme-coin funnel

Will described a “dopamine epidemic” among his generation: infinite stimulation from phones, social feeds, sports betting, and constantly checking every BTC tick. That conditioning combines with the monetary backdrop and the belief that a normal salary will not produce meaningful wealth.
The sports-betting analogy was literal. Friends regularly build 12–15-leg parlays attempting to turn $25 into $1,000–$2,000; despite their “YOLO” mindset, many do not know what a Phantom wallet is and assume crypto’s onboarding friction is too difficult.
Will thought only “two or three” screen recordings of MetaMask or Phantom gains on TikTok or Instagram might go viral and redirect that capital. Bitcoin at $100K would be a similarly powerful round-number headline because many non-crypto people did not even realize it had returned near all-time highs.
The resulting “make-it culture” treats employment as cash flow for a separate escape attempt, with traders sharing plays because they are “in the trenches” together. For sub-25 investors without large accounts, Will said it could be worth risking 5–10% on memes: the account loses that slice if wrong, but one large winner can double the portfolio.

11. Conviction was high, but leverage remained the obvious way to get shaken out

Avi said he was 8–9/10 long at that moment; with a fresh set of eyes, he saw a Trump victory as asymmetric because BTC could become “one big Dogecoin,” while a loss would leave time to exit. He stressed path dependence: anyone already chopped up by the range should carry less risk than a new entrant facing the same asymmetry.
Will rated himself 8.5/10 long, primarily through spot and longer-dated WULF calls that could not be liquidated. He allowed for a flush but planned no material change in net exposure for two or three months: “I don’t wanna touch anything.”
Leverage was the caveat, not the base-case reversal. Early 2021 saw open interest explode and funding rates in the three-month futures space reach 30–40%; Will did not require those levels again, but expected BTC and aggregate alt open interest eventually to make substantially higher highs, producing violent shakeouts along the way.
His closing diagnosis was behavioral: seven months of losses, chop, and faded breakouts had trained traders not to trust the next move. Against that apathy, rate cuts, deficit expansion, hard-asset advocacy, and a possible electoral catalyst made patience more important than avoiding every short-term drawdown.

Material Progress: Developing AI's Scientific Intuition, with Orbital Materials' Jonathan & Tim The Reality of Bitcoin's Election Correlation | The Giver