Forrester B2B Summit From 2026

Here’s a walk-through of a hypothetical Larry Chiang keynote slide deck for the first morning keynote at the Forrester B2B Summit North America 2026 (Phoenix, April 27, 2026 or whenever the main days kick off).

Larry’s real-world style (from his Stanford ENGR145 talks, Duck9 presentations, and Slideshare decks) is high-energy, meme-heavy, tweet-driven, engineering-first, and anti-BS. He loves short, punchy slides with big fonts, simple images, numbered lists, hashtags, and direct calls to action. No corporate fluff. Lots of “what they don’t teach you” energy mixed with practical, executable tactics.

The deck title:
“#csMajorCMO → #csMajorCRO: Hacking GTM Singularity Like a Stanford CS Dropout Who Ships Revenue”

Total slides: ~22 (Larry keeps keynotes tight and fast — 18–25 minutes speaking + Q&A).
Design vibe: Black background, Stanford cardinal red accents, white/yellow text, occasional crude memes or engineering diagrams, heavy use of #csMajorCRO and #csMajorCMO as recurring hashtags. Every slide ends with a tweetable line.

Slide 1: Title (Big & Loud)

• Background: Photo of Larry in a hoodie + Stanford campus or a circuit board exploding into dollar signs.
• Text:
  #csMajorCMO
  Becomes
  #csMajorCRO
  in the Age of GTM Singularity
• Subtitle: Forrester B2B Summit North America 2026 • Opening Morning Keynote
• Larry Chiang, CEO Duck9 / Stanford ENGR145 EIR
• Bottom: “I’m a CS major who never trusted ‘brand’ until buyers started using AI agents. Now I ship revenue like code.”

Slide 2: Who the Hell Is This Guy?

• Bullet points (big font):
• CS background (not MBA)
• Built Duck9 teaching credit hacking via engineering mindset
• Taught Technology Entrepreneurship at Stanford (ENGR145)
• #csMajorCRO of multiple companies
• Hashtag inventor fanboy (shoutout Chris Messina)
• Image: Larry’s headshot next to a code snippet that says “if (buyer.usesGenAI) { hack_visibility(); }”

Slide 3: The GTM Singularity — Why Your Funnel Just Died

• Big header: “GTM Singularity = Traditional B2B is Collapsing”
• Visual: Old sales funnel cracking in half, with AI agents swarming around it.
• 3 reasons (Larry style):

1. 90%+ buyers use genAI before talking to sales (Forrester stat, but he’d say “duh”)
2. Zero-click discovery + AI agents = no more intent data you can buy
3. Buyers self-serve harder than your SDR team can cold call

Slide 4: The CS Major CMO Mindset Shift

• Header: “Stop Thinking Like a Marketer. Start Thinking Like a CS Major.”
• List:
• Debugging buyer journeys > polishing brand decks
• Version control your GTM experiments
• Deploy code (content/AI) that ships revenue, not just impressions
• Meme: Classic “CS major vs Marketing major” cartoon, labeled with #csMajorCMO

Slide 5–7: 19 Ways to Close Deals in a Singularity World (#csMajorCRO Remix)

(Larry actually has a real “19 Ways to Close Deals” post — he’d expand it here with AI twists.)

• Slide 5: Intro — “Engineers don’t ‘risk it all.’ We debug, iterate, and ship.”
• Slide 6–7: Numbered list (3–4 per slide, big bold numbers):

1. Treat AI agents as your new co-sellers — prompt them to surface your content.
2. Build “forward deployed” content that lives where buyers + AI search.
3. Use engineering sprints for demand gen experiments (not annual planning).
4. Measure what compiles: pipeline velocity, not vanity metrics. … (up to 19, but he’d highlight the top 6–8 live)

Each point ends with #csMajorCRO

Slide 8: Visibility Vacuum Hack — Get Found When Buyers + AI Aren’t Looking for You

• Visual: Black hole labeled “AI Search” sucking in old SEO tactics.
• Tactics:
• Authentic, executable content (blog posts that read like code comments)
• Hashtag engineering (#csMajorCRO as a distribution tool)
• Co-create with buyers via simple engineering tools (not fancy ABM platforms)

Slide 9: Brand + Demand = Your New Preference Multiplier

• Header: “Brand isn’t fluffy. It’s your API for trust.”
• Simple equation (Larry loves these): Brand Equity × Demand Gen = Faster Close Rates in AI World
• Case: How a CS-minded CMO turns “brand” into repeatable, debuggable preference.

Slide 10: Human + AI GTM — Don’t Let the Robots Run Your Relationships

• Split slide: Left = AI automation wins; Right = Human hustle that AI can’t fake.
• Key line: “Use AI to scale the boring stuff. Use your CS brain (and balls) for the trust layer.”

Slide 11–13: Practical Frameworks You Can Ship Monday Morning

• Slide 11: GTM Readiness Checklist (as a code-like table)
• Align marketing + sales like microservices
• Test buyer group activation in < 1 sprint
• Deploy AI co-pilots for content + deal intelligence
• Slide 12: Accountability Reset — Tie everything to compiled revenue, not “engaged”
• Slide 13: “What They Don’t Teach You at B-School” — 5 executable resets for GTM singularity

Slide 14: Case Study — CS Major CMO in the Wild

• Real or anonymized example of a company that went from fragmented funnels to unified, AI-resilient GTM.
• Metrics: Before/after pipeline velocity, win rates, “visibility when buyers ghost.”

Slide 15: The #csMajorCRO Leadership Playbook

• Bullets:
• Hire forward-deployed engineers for biz dev roles
• Run GTM like open-source: iterate publicly, ship fast
• Use hashtags as lightweight distribution layers
• Never outsource your revenue debugging

Slide 16: Call to Action — Ship This Week

• Big text: “Go back to your team and run one #csMajorCRO experiment before Q2 ends.”
• Specific asks:
• Tweet your GTM singularity hack with #csMajorCRO
• Text Larry at 650-283-8008 if you want the raw slide PDF (he does this)
• Join the next Luma event or Stanford-style workshop

Slide 17: Closing Slide — “Overnight Success Took a Decade of Debugging”

• Photo: Larry with a big grin.
• Final line: “GTM Singularity isn’t a crisis. It’s a compiler upgrade for those who think like CS majors.”
• Hashtags: #csMajorCMO #csMajorCRO #GTMSingularity #ForresterB2BSummiti
• “Questions? Let’s debug live.”

Slide 18–22: Bonus / Appendix (for deep Q&A)

• Extra tactics, more of the 19 ways, resource links, Duck9/Stanford references.

Delivery notes (how Larry would actually present it):
He speaks fast, pauses for laughs on the memes, repeats hashtags out loud (“hashtag see-es major see-are-oh”), and frequently says “text me” or “DM me the screenshot.” He’d riff off Forrester’s own data but translate it into engineer-speak. The energy is equal parts Stanford professor, street hustler, and debugger.

This deck would feel like a breath of fresh air in a sea of polished analyst decks — raw, actionable, and immediately tweetable.