What did qw (@qwqiao) post on X, week of Sep 15 – Sep 21, 2026?

The week split across three evenly weighted themes — a viral photo that dwarfed everything else in reach, a strong AI product take on Meta's Muse, and a long-term Zcash holding thesis — while a podcast retweet stitched the AI and crypto threads together.

Weekly brief · week of Sep 15 – Sep 21, 2026

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Viral & Visual Content

~34%

A photo-only post with no alt-text and no text context drew 340,931 views and 9,976 likes — by far the author's biggest hit this window, with 994 reposts carrying it far beyond his usual reach [1]. The content itself is opaque from the corpus, but the engagement profile (roughly 24x his next-most-viewed original) signals a cultural or visual moment that resonated independently of any argument.

AI Product & Capability Analysis (~33%): Meta's Muse drew the author's strongest product endorsement: 'the first ever product from meta i use multiple times a day,' with computer use capability he calls 'the next major inflection point in ai' — placing it alongside coding agents as a step-function change [2]. He half-jokes that Meta employees' always-recorded screens are the sacrifice enabling it. This 52-reply post signals the author is testing real-world agent products daily and sees computer-use as the boundary that separates toys from infrastructure.

Crypto Investing & Market Philosophy (~33%): The author's Zcash stance is unambiguous: 'zcash is not a trade. hold it. shield it. experience the magic of z-to-z transactions. and thank urself in a few years' [3]. He frames it against a historical lesson — early Bitcoiners' biggest regret was over-trading an asset that went 100–10,000x, and he sees the same mistake repeating with Zcash. The call is explicitly long-term and anti-leverage: no catching 10% moves, no shorting, no chasing volatile betas. This 33-reply post is the clearest directional stance of the week.

Podcast & Long-form Discourse (~0%): The author retweeted episode 77 of the Good Game podcast, where he appears as a guest and the conversation cuts across nearly every theme he touched this week — AI computer-use as an inflection point, Zcash's AI/privacy thesis and price targets, energy as 'the biggest bottleneck,' compute as a new asset class, and Nvidia chips as collateral [4]. The episode also covers retail speculation, launchpad wars, tokenized stocks, and the 'verticals will win' thesis, making it the synthetic container for the week's separate threads.

Venture & Founder Ecosystem (~0%): He retweeted Alliance's announcement of investing $8 million into 20 teams, noting founders come from SpaceX, Stripe, Google DeepMind, or arrive with just an idea and no logo — 'we back both' [5]. Simple amplification of the accelerator batch, consistent with his ongoing support for early-stage builders.

74 replies · 340.9k viewsA photo-only post with no text became the author's most-discussed original of the week at 74 replies and 9,976 likes, though the conversation's substance is unknowable from the corpus since the image carries no alt-text [1]. [1]

52 replies · 67.5k viewsHis Meta Muse endorsement sparked 52 replies, with commenters engaging his claim that computer-use capability is the next major AI inflection point after coding agents [2]. [2]

33 replies · 27.3k viewsHis Zcash holding thesis drew 33 replies, where the debate centered on whether holding and shielding Zcash long-term mirrors the early Bitcoin opportunity or repeats a different kind of mistake [3]. [3]

35.7k viewsRetweeted @goodgamepodxyz's episode 77, 'All Eyes on AI. Where Does Crypto Fit?', a wide-ranging podcast featuring the author that covers Zcash's privacy thesis, AI computer-use as a step-function change, energy as the biggest bottleneck, compute as a new asset class, and Nvidia chips as collateral. [4]

21.5k viewsRetweeted @alliance's announcement investing $8 million into 20 accelerator teams, highlighting that founders arrive from places like SpaceX and DeepMind or with nothing but an idea. [5]

  • ▲ LONGZcashZcash is a long-term hold, not a trade — hold it, shield it, use z-to-z transactions, and avoid leverage or shorting. [3]
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