Bring investment ideas, sentiment and mention trends from X, Reddit, YouTube and newsletters into your AI. Connect the conversation to earnings calls, 13F filings and each author’s track record — including how their calls performed.
Wang and Park Ji-hoon connect the battery thesis to energy-storage demand, shipment growth and LFP competitiveness. Wang cites improving margins and earnings as support; these figures are attributed source claims. His valuation reference does not align with the stored call price, so it is not presented as a verified upside target.
Average call price: 82.02 USD → 81.66 USD · −0.44%
Bullish authors emphasize higher starting yields, potential rate declines and the role of duration in a diversified portfolio. Some also cite Treasury buybacks as support for supply and demand. Those arguments depend on inflation and yields stabilizing; their time horizons differ.
Average call price: 81.93 USD → 81.66 USD · −0.33%
The opposing case focuses on energy-driven inflation, fiscal borrowing and pressure on long-term yields. Earl Davis favors shorter duration over the 30-year sector, while other authors warn that buybacks may disappoint. These concerns can coexist with an attractive long-term yield: the disagreement is about entry timing and duration risk.
Asset mismatch in the returned evidence: these theses discuss the LAPTOP memecoin, not Toncoin. The server’s ranking row is retained, but these arguments cannot be used as a TON investment thesis.
Average call price: 1,856,500 KRW → 1,856,000 KRW · −0.03%
The bullish side points to HBM demand, tight memory supply and visibility into AI infrastructure orders. Authors connect pricing and earnings upside to constrained supply, while a minority prefers other exposures. The thesis depends on demand and margins holding as capacity expands; price targets cited on inconsistent reference levels are omitted.
Average call price: 1,856,000 KRW → 1,856,000 KRW · +0.00%
Shin Hyeok-seung is constructive on the company’s earnings but avoids direct exposure. He uses Samsung and SK hynix as market indicators and expects stronger opportunities in other sectors if the large semiconductor names remain stable. This is an allocation preference, not a forecast of collapsing fundamentals.
Average call price: 223.09 USD → 234.48 USD · +5.11%
mkfilko’s first tracked MRVL call is a technical setup: price above key moving averages and a bullish 10/20/50 EMA alignment. The source provides a momentum rationale, not a fundamental valuation model.
Average call price: 17.25 USD → 16.78 USD · −2.72%
Northwise Project’s short thesis focuses on financing: weaker project financing could require more parent-company equity, leading to further share issuance. A lower share price would make each raise more dilutive. The −2.72% figure is the raw share-price move since the call, not a direction-adjusted portfolio return.
✳ClaudeExample conversation
Give me a portfolio update for NVDA, MSFT and TSLA.
L/S/A/N = LONG / SHORT / AVOID / NEUTRAL. N: authors without LONG/SHORT/AVOID. Mentions counts distinct authors in 24h, once each. Average is authors per day over the previous 30 days.
Average call price: 225.03 USD → 223.55 USD · −0.66%
The bullish case centers on pricing power and a longer AI infrastructure cycle. Mandeep Singh says customers still buy on Nvidia’s terms, while Gil Luria argues power and permitting constraints could extend the buildout rather than end it. Dominic Rizzo frames the valuation as attractive relative to his growth expectations. Other authors point to larger GPU clusters, hardware upgrades and demand for compute; these are their investment theses, not confirmed future outcomes. Several calls continue an existing bullish stance, rather than represent a first recommendation.
Average call price: 223.75 USD → 223.55 USD · −0.09%
Jared Dillian argues the AI investment boom could eventually create excess data-center capacity and a chip glut, drawing a parallel with the telecom buildout around 2000. He treats the Economist’s Jensen Huang cover as a contrarian sentiment signal. His concern is the next phase of the investment cycle, despite strong current fundamentals.
Average call price: 493.04 USD → 492.19 USD · −0.17%
Brad Smith describes an enforceable agreement with the American Federation of Teachers covering student data, teacher control and AI safeguards in schools. He frames it as a way for Microsoft to become a trusted education-AI partner. Smith is a Microsoft executive, a confirmed affiliation checked on 5 Sep 2026. The Reddit discussion separately treats Microsoft as an OpenAI proxy, while acknowledging that enthusiasm may already be reflected in the price; its breakthrough claims are unverified community commentary.
Average call price: 365.83 USD → 366.5 USD · +0.18%
The Reddit discussion highlights relative strength while the broader market weakens, but warns that this could reverse. Lee Ju-hyeon connects the rebound with reported Slovenia FSD approval and expectations around an October vote, alongside a rising trend channel. So Hyeon-cheol sees Cybercab as a competitive challenge for established automakers. These are momentum, regulatory and product scenarios; the returned calls do not establish that future milestones will be delivered.
No new portfolio-update, earnings-call or 13F events were returned for these tickers in this 24-hour window.
Oracle’s AI demand remains strong; Adobe is prioritizing free-user growth over near-term monetization. Copart’s headline volume decline needs context: management attributes much of it to one lost customer.
OpenAI, Microsoft, Alphabet, Perplexity AI, SEMrush, Topaz Labs
+14 more
Disney, Amazon, Deutsche Post DHL, Honeywell, Renault, T-Mobile, Publicis, IKEA, Marriott, BNP Paribas, Royal Bank of Canada, Wells Fargo, Humana, Vanguard
AI distribution, acquisitions and enterprise customer wins.
GPU utilization is 97.9%. Management reported $30B+ of new AI contracts structured without additional upfront Oracle cash.
Demand is turning into capacity usage and contracts. Customer prepayments and hardware can help Oracle scale with less of its own cash; power and delivery timing still matter.
AI-first ARR exceeded $650M, up more than 150% year over year. Firefly ARR grew 40% quarter over quarter, according to management.
AI monetization is measurable, but it has not yet offset weaker net-new ARR across the business. Watch conversion into paid plans, not just user growth.
Long-haul delivery added $17M to year-over-year facility operating costs.
Persistent
Logistics costs pressure per-vehicle margins while the service scales. This is a cost constraint; the cited evidence does not establish a carrier shortage.
Copart announced the acquisition of ACV Auctions. US insurance units fell 7.5%; management said domestic insurance assignments would have grown 2.3% excluding one lost customer.
Alpha: The headline decline may overstate weakness across the customer base. Watch whether underlying volume growth offsets rising costs per vehicle.
Oracle reported 121% growth in cloud infrastructure revenue and 97.9% GPU utilization. Management said renewed GPU capacity commanded about a 20% premium, including on older hardware.
Alpha: Older GPUs retaining pricing power supports a longer useful-life thesis. More than $30B in new AI contracts used prepayments, customer hardware or supplier financing, reducing Oracle’s own upfront cash burden.
Adobe reported 12% revenue growth and expanded AI distribution through major platforms. Management is deferring Creative Cloud pricing changes to attract more free users; net-new ARR fell roughly 36–37% year over year.
Alpha: AI adoption and revenue conversion are moving at different speeds. Watch free-to-paid conversion and AI credit usage; user growth alone does not establish an ARR recovery.
CooperVision is reducing US channel inventory across Q3 and Q4. The board completed its strategic review and decided to retain CooperSurgical.
Alpha: Destocking can suppress reported sales without an equivalent decline in end demand. New sales reps are expected to contribute later in FY2027, making the timing of a recovery important.
Casey’s reported EPS growth of 28% and fuel margins of 47.8 cents per gallon. Management highlighted prepared-food demand and a marketing partnership with Coca-Cola.
Alpha: Management said its price advantage over pizza chains widened, while about half its stores face no national pizza-chain competitor. That supports a local value proposition; specific competitors were not named.
All 5 calls returned from Buzzberg’s tracked S&P 500 archive are included. Alpha interprets management commentary. This is coverage of the tracked company list; broader market coverage is not established.
Try another period or a company
You can also ask for the last 24 hours, yesterday, or the last 30 days.
Where was NVIDIA mentioned in other companies’ earnings calls? Show the available history and the Alpha.
✳ClaudeExample conversation
What does Gavin Baker focus on? Show me his track record.
Adjusted return is a shrunk, direction-adjusted average across 22 priceable positions; it is not benchmark alpha. 87 tracked mentions. Performance as of 9 Sep 2026.
First-call returns and average position returns use different samples. Missing prices or currencies are shown as —.
About the author
Gavin Baker founded Atreides Management in 2019 and serves as managing partner and CIO, investing in public and private consumer and technology companies. He worked at Fidelity from 1999 to 2017, managed the Fidelity OTC Portfolio from 2009 to 2017 and previously managed its Wireless, Telecommunications and Pharmaceuticals portfolios. He also helped build Fidelity’s venture investing effort from 2013 to 2017. He studied economics and history at Dartmouth and discusses semiconductors and AI infrastructure on X and investing podcasts.
247,481 X followers · 107 followers among Buzzberg-ranked authors. Follower counts: 10 Aug 2026.
✳ClaudeExample conversation
Plot SIVE’s daily mentions and sentiment against its share price over the last 180 complete days. Highlight the biggest attention spike.
Captured 10 Sep 2026 · Complete days through 9 Sep
Mentions count ticker idea rows by publication date, including WATCH and NEUTRAL; they are not unique authors. Period sentiment is weighted by mention count. Price and mentions use separate axes. Lines connect available observations across dates without data, including weekends; missing-day readouts stay unavailable. Price change compares the first and last available closes in the selected period.
13 Sep, 16:01 – 14 Sep, 16:01 UTC · Top 50 by lifetime Alpha-rank
Refiners and AI infrastructure dominate this snapshot. TheValueist maps the oil-supply disruption to refining margins; aleabitoreddit argues that slower frontier-model development would not erase existing compute demand. The clearest equity LONG entries are OCC and D-BOX, while Yan Liberman adds a crypto thesis around Hyperliquid buybacks.
13 authors with ticker ideas · 83 idea records · 11 LONG · 72 WATCH
TheValueist’s latest post argues that a sustained Saudi East–West pipeline interruption could benefit U.S. refiners with secure crude access and diesel-export capacity. VLO, MPC, PSX, DK and CLMT remain WATCH. The author explicitly separates the roughly 1.8 million barrels per day of potentially exposed refining capacity from confirmed lost output. Higher feedstock costs or rapid restoration could weaken the case.
aleabitoreddit agrees with IREN CEO Daniel Roberts that deploying existing AI capabilities could require years of additional compute, even if frontier-model progress slows. The argument points to memory and powered-site constraints rather than assuming demand disappears. IREN, NVDA and GOOGL are tagged WATCH in this post; the bullish interpretation is not a newly disclosed position.
jukan05 reports Samsung Electro-Mechanics and Qualcomm developing organic-bridge packaging as an alternative to silicon bridges. A separate roundup describes glass-substrate qualification delays, stronger memory PCB orders and longer equipment planning at SK hynix. The opportunity is not uniform across the supply chain: customer validation, yield and production timing still matter. These are WATCH observations, not disclosed trades.
Northwise Project uses an inferred 4.4 MW at Harlow to illustrate a $52.8 million annual revenue rate—only 0.66% of an $8 billion exit-ARR midpoint. The author labels this a sensitivity, not a forecast: pricing, utilization and hardware are undisclosed, and the contract may already be in management’s plan. NBIS remains WATCH.
thebigberbowski’s LONG thesis cites Q3 revenue of $24.3 million, up 22%, and gross margin of 37.4%. He views fiber availability and customer qualification as the constraints on growth. The counterweight is cash: his review cites only $148,000 of operating cash flow against $2.52 million of nine-month net income. Sustained orders and working-capital conversion are the next tests.
stocks_stones links Cineplex’s reported record August box office to D-BOX’s next results, citing 100% year-over-year monthly growth and 40% quarter-to-date growth. The post explicitly discloses that the Rivemont MicroCap Fund is long D-BOX and that the author manages and owns units in the fund. DBO.TO is LONG; the Cineplex reference is a supporting read-through, not a separate buy call.
Yan Liberman’s latest Empire discussion includes a LONG thesis in HYPE centered on durable buybacks. This is a token-specific bullish view. A useful follow-up is whether protocol revenue and actual purchases continue to support the mechanism; the captured note does not provide a new price target.
AI demand and AI profitability are separate questions. aleabitoreddit emphasizes demand for today’s models, while TheValueist puts the next profitability step at Rubin and later hardware. Northwise adds a valuation check: a newly identified data center is not automatically revenue missing from guidance. In energy, the bullish case depends on realized margins after crude, freight and operating costs—not the disruption headline alone.
What to watch next
Watch diesel margins and refinery uptime; OCC’s backlog conversion and cash flow; D-BOX’s next results; and whether AI capacity becomes contracted, utilized revenue. The packaging reports still need customer validation. These are checks on the authors’ arguments, not additional LONG calls.
✳ClaudeExample conversation
Deep dive NVDA. What is the bull case, and who disagrees?
Nvidia’s debate is about how long exceptional AI demand can last. Bulls expect spending to keep flowing through its chips and software; bears think today’s buildout could lead to excess capacity, tougher competition and weaker margins.
2,220 mentions · last 30 days306 mentions · last 7 days (−52% vs. previous week)
Mention counts through 9 Sep · Author views from 9–10 Sep
Why bulls see upside
5 authors in these selected arguments
AI spending keeps flowing to the infrastructure layer
Keith Rabois argues that Nvidia benefits as AI companies grow. Daniel Koss favors the owners and suppliers of AI computing capacity. Their upside case: more AI usage translates into more infrastructure spending and revenue for Nvidia.
Mandeep Singh says customers still buy on Nvidia’s terms. Choi Chang-gyu prefers Nvidia’s position across the AI computing supply chain. Their argument is that this position can support pricing and profits even as rivals compete.
Gil Luria sees power, land and permitting constraints delaying the buildout while demand remains strong. In his view, that spreads investment over a longer period and reduces the risk of an immediate supply glut.
Overbuilding could turn today’s shortage into a glut
Jared Dillian compares the AI boom with the telecom buildout around 2000. He expects investment to overshoot demand, leaving excess data-center capacity and chips. That would threaten future orders even while current results remain strong.
Reddit contributor u/alphajumbo argues that competition and alternatives to CUDA will make Nvidia’s margins harder to sustain. His concern is that rivals gradually weaken Nvidia’s pricing power and reduce profits on each sale.
Financing the ecosystem raises questions about demand
In r/SecurityAnalysis, u/JoeInOR questions why Nvidia invests in AI startups and compute leasing if chip demand is already so strong. He reads those moves as a hedge against a maturing cycle. This interpretation puts customer economics at the center of the bear case.
NVIDIA’s Q2 FY2027 release, published 26 Aug. Reported results and company guidance:
Demand is visible in revenue
Revenue reached $96.2bn, up 106% year on year. The company guides to $108bn next quarter, plus or minus 2%. NVIDIA Q2 FY2027 ↗
Margins are high; the next quarter tests their durability
Gross margin was 75%. Management guides to 74%, plus or minus 0.5 percentage points, next quarter. NVIDIA Q2 FY2027 ↗
The buildout comes with larger commitments
Supply and capacity commitments rose to $279bn from $119bn in the prior quarter, mainly for memory procurement. NVIDIA CFO commentary ↗
What would strengthen either case?
The bull case strengthens if revenue keeps growing while margins hold. The bear case strengthens if orders slow, competition forces lower prices, or customers struggle to fund capacity already planned.
Sources & coverage
Selected author theses were read through Buzzberg MCP; company facts were checked separately against NVIDIA’s release and CFO commentary. Statements above are paraphrases, with links to the source posts and videos.
30-day mentions: 11 Aug–9 Sep. Weekly comparison: 306 on 3–9 Sep versus 632 on 27 Aug–2 Sep. Both weeks contain seven complete UTC days. Captured on 10 Sep; mention totals can change as coverage grows.
Investment ideas, with a track record
We record the price when an author shares an investment idea, then track how it performs. Their entry prices and subsequent returns become part of their track record.
Discover investment ideas
Find fresh calls across X, Reddit, YouTube and newsletters. Compare the bull and bear cases with links to the original research.
Check the track record
See how an author’s recommendations have performed. Compare win rate and returns, and explore individual ideas from entry price to outcome.
Go deeper on a company
Bring together investor views, management commentary from earnings calls and fund positions disclosed in 13F filings when researching a ticker.
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Read the social conversation alongside newsletters, management commentary and institutional filings.
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X / Twitter
Investor posts and emerging theses
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Reddit
Community debates and retail sentiment
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YouTube
Interviews, podcasts and extracted ideas
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Newsletters
Long-form analysis and investment theses
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Earnings calls
Management commentary, results and guidance
13F filings
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Frequently asked questions
What can I ask Buzzberg through MCP?+
Ask for recent ideas, a portfolio update, company research or an author’s track record. Your AI uses Buzzberg tools to retrieve the relevant data and build an answer with sources.
What is a call, and how do you track its performance?+
A call is an author’s clear directional view on a ticker — for example, “I’m long SIVE” or “I’m strongly bullish on SIVE.” The first such mention we capture for that author, ticker and direction sets the entry point. We use the price recorded for that date to track subsequent returns. Repeated mentions in the same direction don’t reset the entry. Long and short calls are tracked separately. This measures public calls, not the author’s actual brokerage trades.
Which sources does Buzzberg cover?+
X, Reddit, YouTube, newsletters, earnings calls and stored 13F disclosures from tracked funds. Coverage varies by company, source and available history. Answers retain links to the available originals.
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Connect a supported client to the server URL, then sign in with your Buzzberg account through OAuth. No personal API key is needed. Existing legacy keys continue to work and can be revoked in Profile.
Put the market in the conversation
The sources you follow. The context you need. Inside the AI you already use.
