Video summary

Software Is Back & The Bulls Stay In Control | Basis Points

Main summary

Key takeaways

Finance

Finance-Focused Summary (Markets, Investing, Macro, Company Metrics)

Macro: Rates, Liquidity, and Market Sentiment

  • The discussion centers on rate-cut expectations and how they’re supporting sentiment—especially in software/AI names.
  • Liquidity data (St. Louis Fed money markets): money market balances were cited as “over $8 trillion” (roughly $8.16–$8.17T referenced).

Oil as the Key Macro Risk Factor

  • Bearish scenario:
    • No Iran deal → oil could rise to ~150
    • This could trigger an estimated 15–20% market drawdown
  • Bullish scenario:
    • Iran deal → oil falls to under 90 (possibly under 80)
    • Then oil could move toward ~70–75 for a period
    • Potential impact: CPI/PPI normalization and allowing rate cuts potentially in Sep or Nov
  • S&P 500 path referenced (bullish macro framing): potential outcomes like 8500–8900–9000.

Valuation Backdrop

  • Forward S&P 500 multiple discussed as having moved ~23 → ~21, framed as “not expensive” given rising earnings.

Software / AI Thesis: “SaaS Back”

  • The episode argues the SaaS narrative is shifting from:
    • “AI will disrupt/replace SaaS”
    • to “SaaS persists and integrates AI models.”
  • Reasons cited for the sentiment “flip” around May 28:
    • Anthropic raised $65B, with scale comparisons to a SpaceX IPO plan (~$75B) mentioned.
    • Anthropic released “Opus 4.8” available to everyone at the same price, suggesting less willingness to pay continuously higher token costs.
    • A related concern: executives/industry voices noting token costs are high and ROI/productivity is being scrutinized, with fears users may switch to alternatives (including Chinese open-source models).
  • Takeaway: with “numbers are the numbers,” markets rewarded the “SaaS back” view.
    • Mentioned examples include Snowflake, Datadog, Figma, a “Pounder”/unspecified name (unclear spelling/identity), and Salesforce.

Key Company Financials & Metrics

SoFi (SOFI): Consumer Fintech / Platform Narrative

  • Stock context: “Stock hit 15.17 for the first time in a couple months.”
  • Narrative shift: CEO reframed the loan platform business as a tech platform, not only a financial institution.
  • Recommendation tone: host said they “truly understand … I am changing my tune,” and disclosed they bought more SoFi.

Salesforce (CRM): Large-Cap SaaS, AI Components, Buybacks

Reported metrics cited

  • Total revenue: $11.13B (+13% YoY)
  • RPO (remaining performance obligations): $67.9B (+11% YoY)
  • Free cash flow: $6.6B
  • AI-related revenue components: $3.4B from Agentforce and Data 360
  • Token volume: 28.6T tokens processed to date

Capital return

  • Stock buybacks: $27B (host said they “went into debt” to buy back)
  • Additional $23B authorization referenced

Valuation framing / market interpretation

  • Salesforce described as ~$45–46B revenue; not expected to grow 50% going forward.
  • Debate/discrepancy: results were described as “crushed,” yet the stock supposedly didn’t move—suggesting the market wasn’t yet pricing AI growth fully.
  • Skepticism point: Agentforce ARR ~ 5% of revenue, framed as not yet a “real growth story” in market pricing.

Zeta: Adtech SaaS (Zeta)

  • Themes:
    • Addressing “SaaS apocalypse” misconceptions
    • Claim: advertising budgets may not be the first cut in recession because AI reduces cost/effort
    • Moat claim: Zeta allegedly owns the entire back end (data + tech stack)

“SaaS Back” Comps Mentioned (Execution/Resilience)

Hosts cited multiple companies as evidence of resilience and execution (mostly without exact numbers):

  • ServiceNow, Snowflake, MongoDB, Workday, Datadog, Figma, Palantir, Pounder (unclear; name likely transcribed inaccurately—possible “Pendo”)

Reddit (RDDT) and Shopify (SHOP): SaaS-Like Growth Narratives

Reddit

  • Entry referenced: 10.385 (context unclear; likely a price level but transcript suggests confusion)
  • Framed as “cheap”
  • Mentioned it “did a partnership” with Shopify timing described as “two days ago”

Shopify

  • Valuation/growth framing:
    • “30–40x sales usually; now 10–12x” (cheapest since 2022)
    • 34% growth for two quarters in a row
    • “Fastest GMV in history: 69.9% growth”
    • Beat EPS by 50%
    • Trading at ~22x 2027 earnings
    • Expected to compound EPS ~30% for the next four years
  • Partnership timing: Reddit and Shopify both referenced as doing a partnership.

AI Infrastructure / “Neoclouds” (CoreWeave, Nebius)

CoreWeave

  • Added as a position; rationale:
    • More than one AI infrastructure winner likely; CoreWeave and Nebius framed as candidates.
    • Thesis tied to GPU demand and host’s claim of Nvidia backing for 10 years.
  • Debt concern:
    • Host said they were less worried about CoreWeave’s debt because of backlog and projected revenues.

Nebius Comparison

  • CoreWeave compared to Nebius (similar market cap claim).
  • Host argued CoreWeave fundamentals look better “outside of the debt.”

Other Portfolio Names Mentioned

Uber (UBER): Value + “Super App” Adjacent Services

  • Valuation cited: around ~12x free cash flow (also “13–14x” referenced)
  • Growth drivers:
    • Uber Eats
    • expansion into freight logistics
  • Thesis conflict:
    • Autonomous vehicle narrative dismissed as not disrupting Uber’s core app
    • Claim: Tesla vehicles could integrate via the Uber app
  • Framing: “dirt cheap,” “value play,” expecting long-term rerating

Micron (MU): Memory, Forward EPS, Rerating Debate

  • Purchase context:
    • Micron hit $98 at some point
    • Host originally bought around $70.9
  • Forward-looking EPS/multiples:
    • This year expected EPS: $58–$62
    • Next year expected EPS: ~$104
    • Multiples: ~17x this year’s earnings; ~9x next year
    • Host argues it could rerate higher if AI buildout continues
  • CAPEX / AI buildout debate:
    • Host claims declining capex in 2028 is “likely wrong”
    • Mentioned Alphabet capex as ~$70B → $190B (host claim), rising into 2027+
  • “Memory demand won’t end” argument:
    • robots / full self-driving / quantum progress → more memory demand
  • Risk caveat:
    • eventual supply increases could pressure pricing power and EPS
  • Behavioral point (“stomach” issue):
    • Host said they can’t psychologically increase exposure at higher prices without a dip.

Nvidia (NVDA): Weighting Constraint / Catalyst framing

  • Catalyst claims:
    • Host expected 100% YoY growth in Q2
    • “Only have to do $93B” referenced (transcript wording unclear)
  • Position sizing constraint:
    • Host claimed the market doesn’t want Nvidia above ~10% of the S&P 500, possibly capping upside explosiveness.

Meta (META): AI Subscriptions + Compute Leasing Concept

  • Catalysts:
    • Meta AI subscriptions to monetize consumer AI features
    • If overcapacity, Meta may lease out excess compute (GPUs)
  • Host conviction:
    • Called Meta extremely undervalued; could be a “$1,000 stock” (timeframe unclear)
  • Valuation cited: 15–16x EBITDA
  • Probability of becoming a “new neocloud”:
    • suggested at ~35%
  • Barrier raised: regulators/antitrust constraints
  • Potential levers:
    • kill metaverse, rent out space/compute, do buybacks

Alphabet / Apple Valuation Comparison (Relative)

  • Apple at all-time highs; Microsoft vs Apple discrepancy noted:
    • Microsoft market cap cited: ~$3.1T
    • Apple “$1.5T spread apart” (Apple materially higher)
  • Claim:
    • Microsoft has strong profitability/margins but trades at lower valuation
    • Upside catalysts discussed include an Anthropic chip supply rumor

Portfolio Actions & Recommendations (Disclosures / Actions)

  • SoFi: bought more after CEO reassurance.
  • Reddit + Shopify: bought after being “down ~40% YTD,” expecting narrative shift; host remained cautious about semis sentiment potentially reversing.
  • Reddit options: possible sell/roll (ring cover calls to next Friday mentioned); call-away risk discussed.
  • Uber: initiated position (“bought a position in Uber”).
  • CoreWeave: initiated position (“bought a little CoreWeave”).
  • Micron: discussed adding on dips; host stated they can’t add at higher prices without further pullback.
  • Netflix (NET): discussed as a potential buy/idea:
    • live sports expansion + “huge TAM”
    • $2.5B breakup fee from not going forward with Warner Bros. Discovery
    • buybacks + belief AI helps cut costs
    • advertising thesis: host cited ~$3B last quarter on advertising

Frameworks / Methodology Mentioned

  • No single fully formal step-by-step valuation model, but recurring ideas included:
    • “SaaS survivability test”: AI won’t necessarily replace enterprise software; check whether firms keep growing dollar revenue, RPO, and FCF.
    • “Numbers > narrative” checks: use quarterly execution (e.g., Salesforce revenue + RPO + FCF) and whether the market is pricing in AI properly.
    • “What can go right” allocation idea: consider allocating ~5–10% across 5–10 smaller story-based companies (explicitly framed as personal thoughts, not advice).
    • Reversion to mean + keep winners: portfolio belief that loser mean reversion plus holding winners may outperform.

Risk Management / Behavioral Cautions

  • Warns against social-media-driven chasing and the “gamblers’ fallacy.”
  • Highlights the importance of volatility tolerance (example: Micron could swing -10/+30).
  • Emphasizes the market can “flip on a dime,” punishing thesis when sentiment reverses quickly.

Explicit Disclosures / Disclaimers

  • Hosts repeatedly include “full disclosure” statements regarding personal buys (e.g., SoFi).
  • A “not financial advice” disclaimer was not clearly present in the provided subtitles.

Tickers / Instruments / Assets Mentioned

Public Equities

  • SOFI (SoFi)
  • NET (Netflix)
  • CRM (Salesforce)
  • NOW (ServiceNow)
  • SNOW (Snowflake)
  • DDOG (Datadog)
  • FIGM (Figma)
  • PLTR (Palantir)
  • SHOP (Shopify)
  • RDDT (Reddit)
  • UBER (Uber)
  • NVDA (Nvidia)
  • MU (Micron)
  • AMD (AMD)
  • DELL (Dell)
  • AVGO (Broadcom)
  • META (Meta)
  • MSFT (Microsoft)
  • AAPL (Apple)
  • CRWD (CrowdStrike)
  • PYPL (PayPal)
  • HOOD (Robinhood)
  • CoreWeave / Nebius mentioned (tickers not provided in transcript)

Macro / Commodities

  • Oil (no ticker; levels discussed: 80/90/150)

Crypto

  • BTC (Bitcoin)
  • ETH (Ethereum)
  • Stablecoins (no ticker)

Index / Rates / Levels

  • S&P 500 (targets and valuation multiple discussions)

Numbers & Performance Metrics Explicitly Called Out (Selected)

  • Anthropic: raised $65B; released Opus 4.8.
  • SoFi: stock hit 15.17.
  • Salesforce:
    • revenue $11.13B (+13% YoY)
    • RPO $67.9B (+11% YoY)
    • free cash flow $6.6B
    • AI revenue components $3.4B
    • token volume 28.6T
    • buybacks $27B plus additional $23B
  • Shopify:
    • valuation 10–12x sales (from 30–40x typical)
    • 34% growth for two quarters
    • GMV growth 69.9%
    • EPS beat +50%
    • trading at ~22x 2027 earnings
    • expected EPS compounding ~30% for four years
  • Micron:
    • EPS $58–$62 (this year), ~$104 (next year)
    • multiples ~17x (this year), ~9x (next year)
    • Alphabet capex claim: $70B → $190B
  • Uber: ~12x free cash flow (also 13–14x referenced).
  • Netflix:
    • breakup fee $2.5B
    • advertising ~$3B last quarter
  • Meta: 15–16x EBITDA
  • Oil & macro: oil 150 vs <90 vs <80, then 70–75; cuts discussed Sep/Nov
  • S&P multiple: forward multiple ~23 → ~21

Presenters / People Mentioned

  • Steve (host)
  • Matt (host)
  • Anthony Noto (SoFi)
  • David Steinberg (Zeta)
  • Josh Brown (mentioned)
  • Tom Lee (CNBC guest mentioned)
  • Donnie T
  • Chris (mentioned; last name not provided)
  • UBS (research mentioned)
  • Dan IV (mentioned)
  • Tanner (mentioned)

Original video