Topline

Matt Allison, CEO and Founder of Handraise, joins us to share why he's skipping the SMB trap and building an AI-powered media intelligence platform for enterprise from day one. Drawing on hard-won lessons from scaling TrendKite, Matt breaks down how Handraise is targeting $30K+ deals with brands like Walgreens and Hershey, the importance of patience in early go-to-market, and how AI is helping them build a more thoughtful, scalable, and enterprise-ready product from the start.
Matt also talks about:
- Why Handraise is skipping the SMB trap and going enterprise from day one
- What TrendKite taught him about building for high-value, high-retention customers
- Why patience and discipline matter when you're building an enterprise GTM motion
- How AI is helping Handraise build a more sophisticated product with a lean team
- Why being AI-first changes what's possible in product development
- How to build a sustainable business without chasing hypergrowth at all costs

Chapters:
00:00 Introduction to Matt Allison and Handraise
01:15 Why Handraise Is Going Enterprise From Day One
08:46 The Challenge: Building for $30K+ Enterprise Deals
11:56 Why Patience Matters in Enterprise GTM
15:17 How AI Is Changing Product Development
19:02 Building an AI-First, Enterprise-Ready Product
22:43 Why Handraise Isn't Chasing Hypergrowth
26:00 Matt's Favorite Book and Podcast
28:00 Where to Find Matt and Handraise
Try Handraise: handraise.com

Forget Growth. Your Valuation Depends On Your AI Story | Tomasz Tunguz, GP @ Theory Ventures
Tomasz Tunguz, General Partner at Theory Ventures, joins Sam Jacobs, AJ Bruno, and Asad Zaman with public software multiples sitting at 4 to 4.5 times forward revenue, down from the 100x ceiling of 2021. Topics include why the market now pays for an AI story rather than growth, the $10 billion AI companies committed in a single year to putting forward-deployed engineers inside customer orgs, and the 41 days a model company gets to commercialize a state-of-the-art release before it is knocked off the perch. Plus, why the mid-market is being abandoned for enterprise deals that close in 45 days, what quota inflation at AI-native companies is actually measuring, and a bull-versus-bear call on 50 to 100x multiples for AI harness companies twelve months from now.
Key Takeaways:
- The valuation follows the AI story, not the growth rate. Average public software trades around 4 to 4.5 times forward revenue today, and the category leaders carrying 30x and up are usually not the fastest growers in their category. As Tomasz put it: "what the market is asking for, and this is both true in the public and the private market, is great, you have an existing business, now show me that you can sell tokens." Revenue growth is still the highest single correlate to multiple, but the token story is what re-rates a company before the revenue shows up.
- Before you copy an AI-native company's quota model, work out where the number is actually coming from. "It's not the supply side has changed and suddenly become 10x more productive. It's the demand side budgets have increased by a factor of 10. And that's what's driving quotas," said Tomasz. Quota-to-OTE ratios that topped out between 2.5 and 4 at Oracle and IBM five years ago are now routinely 1.5 at early startups, and a single insurance account can carry a quota in the tens to hundreds of millions, which is why he no longer grades companies on AE to SDR or AE to CSM ratios at all.
- Using AI to save time is the wrong target for top-tier performance. Tunguz rebuilt his blog workflow so every edit runs through AI, and the total edit count held flat at 134 per post regardless of how long he had been at it, while a graded review of ten years of posts showed a 20% quality increase in 2026. "if you're a chess grandmaster and you want to be better with AI, you don't train less. You train just as much, but you hold yourself to a higher standard." The hour to an hour and a half per post did not change; the research, citations, and depth of analysis did.
- Product advantage is thinning, so the distribution move is what investors are underwriting now. "the go-to-market innovation is now significantly more important than it was. And if you can find a founder who can execute a beautiful go-to-market judo move and produce a lot of leverage for the company, then it's incredible," said Tomasz Tunguz, General Partner at Theory Ventures, placing Dropbox, Zoom, Confluent, and HashiCorp as the previous era's version of the same pattern. 
Connect with the Hosts & Guests:
Host: Sam Jacobs, CEO at Pavilion - https://www.linkedin.com/in/samfjacobs/
Host: AJ Bruno, CEO at QuotaPath - https://www.linkedin.com/in/ajbruno3/
Host: Asad Zaman, CEO at STA - https://www.linkedin.com/in/azaman1/
Guest: Tomasz Tunguz, General Partner at Theory Ventures - https://www.linkedin.com/in/tomasztunguz/
Topline is more than a YouTube Channel:
Subscribe to Topline Newsletter: https://toplinemedia.substack.com/
Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast
Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack
Chapters:
00:00 Introducing Tomasz Tunguz
02:16 Market Stopped Paying For Growth
04:56 Show Me You Can Sell Tokens
06:33 Inside The Hugging Face Hack
10:07 Explaining RL With A Roomba
13:43 Is Security The Next AI Use Case
17:49 Fertility, Consumption, And Tokens
22:36 Overleveraged On The AI Buildout
26:08 Writing Every Post Through AI
30:55 The $10 Billion FDE Boom
39:11 FDE Moat Or Toll Booth
44:39 Quotas Are A Demand-Side Story
52:54 Does Customer Success Die
55:55 Enterprise Shift And GTM Judo
01:03:41 Bulls and Bears
Sources & Attribution:
2015 quota figure: https://tomtunguz.com/how-big-should-your-sales-pipeline-be/
SaaS AE compensation: https://blog.bridgegroupinc.com/saas-account-executive-compensation
2024 AE metrics and compensation benchmark: https://blog.bridgegroupinc.com/2024-ae-metrics-compensation-benchmark
AI investment map: https://www.forbes.com/councils/forbestechcouncil/2026/02/27/ai-is-redrawing-the-tech-investment-map-in-2026/
The $10B FDE Boom: https://tomtunguz.com/the-10b-fde-boom/
Clip: https://www.youtube.com/watch?v=8DbCQn86f9w
Clip: https://www.youtube.com/watch?v=bSo4V6tY9XQ&t=1385s
Clip: https://www.youtube.com/watch?v=36mE3cjYldU&t=560s

Evan Huck, CEO and co-founder of UserEvidence, opens up about the hard decision to shift from a tried-and-true outbound sales playbook to a long-term brand-building strategy. After eight straight quarters of flat pipeline growth, Evan had to trust the process, convince his board to stay the course, and rethink how UserEvidence reached its ideal customers. In this conversation, he shares what it takes to stay patient when results don't come fast, how to balance short-term pipeline needs with brand investments, and why the payoff was worth the wait.

Evan also shares:
- Why eight quarters of flat pipeline tested their commitment to brand over quick wins
- How UserEvidence narrowed its ICP to unlock stronger growth
- Why creative, one-to-one outreach can still break through with enterprise buyers
- How Slack communities helped build credibility and generate early enterprise demand
- Why product marketing came before demand generation in building the GTM engine
- How customer advocacy became an increasingly powerful source of growth

Chapters:
00:00 Introduction to Evan Huck and UserEvidence
04:31 From SDR to CEO: Evan's GTM Journey
07:54 Why UserEvidence Bet on Brand
09:31 Eight Quarters of Crickets: Waiting for Brand to Pay Off
12:30 Narrowing the ICP to Unlock Growth
13:51 The CEO Hustle Behind Enterprise Growth
16:00 Building Credibility Through Communities
18:00 Why the Right Team Matters
19:14 Why Product Marketing Came First
20:39 Turning Customers Into a Growth Engine
22:07 The "Chill, Humble" Leadership Philosophy
22:43 Evan's Favorite Book for Founders
Try UserEvidence: userevidence.com

Keenan, founder and CEO of A Sales Growth Company and the bestselling author of Gap Selling, joins Sam Jacobs, AJ Bruno, and Asad Zaman to make the case that two companies with identical revenue can be valued 3 to 4 times apart, depending entirely on how that revenue got made. Topics include the four sales org archetypes (heroic, random, peacock, and compounding), the valuation discount investors quietly apply to revenue produced by heroics, why quota attainment fell from 60% to 23% while enablement spend went up 7x, and the difference between a sales system and sales structure. Plus, what revenue leaders can learn from how Sequoia, Blackstone, and CAA actually run their people, why Keenan is done with the phrase go-to-market, and the story behind the one-name brand.
 
Key Takeaways:
- How you produce revenue changes what the market will pay for it: investors are buying your ability to repeat the number, not the number itself. Keenan puts a figure on it in his paper Not All Revenue Is Created Equal: "the discount could be as much as 15 to 20% discount on the valuation." Heroics hides the cost; nobody opens a CRM and sees "we closed a $2 million deal and nobody saw that that $2 million deal started at $2.6 million."
- Systems are not structure. A system defines the outputs it wants and stays agnostic about how each rep gets there, which is what separates it from a script. "Making people do everything the same is structure," Keenan said. He runs it through golf: "I focus less on what your swing looks like, and I'm asking myself, are you able to hit a draw when you need to hit a draw?"
- Sales teams over-invest in training the behavior (structure) and under-invest in understanding the buyer, which Keenan calls sales physics: "nobody buys anything unless their current state is untenable and intolerable." A good system helps the buyer realize that state, which will allow a deal to close.
- The spending trend is going the wrong way, and Keenan closes the episode with the numbers: "In 2012, depending who you ask, 60% of reps made quota… now 23%… And the spend has gone up 7x… But win rates declined by 29%. Sales cycles extended by 37 days… What we're investing in isn't working." It persists because no CRO gets room to rebuild: "It's the boat's got a hole in it… You got to fix it. But by the way, you cannot dry dock the boat."
And yes: AJ Bruno is buying the book for the first 20 listeners who reach out. Send AJ a direct message on LinkedIn or in the Pavilion Topline Slack and he will buy you a copy of Gap Revenue Performance.

 
Connect with the Hosts & Guests:
 
Host: Sam Jacobs, CEO at Pavilion - https://www.linkedin.com/in/samfjacobs/
Host: AJ Bruno, CEO at QuotaPath - https://www.linkedin.com/in/ajbruno3/
Host: Asad Zaman, CEO at STA - https://www.linkedin.com/in/azaman1/
Guest: Keenan, CEO & Founder at A Sales Growth Company - https://www.linkedin.com/in/jimkeenan/
 
Topline is more than a YouTube Channel:
 
Subscribe to Topline Newsletter: https://toplinemedia.substack.com/
Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast
Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack
 
Chapters:
00:00 Introducing Keenan And Gap Selling
03:08 A Dollar Of Revenue Is Not A Dollar
03:46 The Four Sales Org Archetypes
06:59 The 15 To 20% Valuation Discount
08:58 The MEDDIC Definition Problem
12:47 The Left Tackle Analogy
18:24 Can Heroics Be Predictable?
23:10 Structure Is Not A System
28:32 What VC Firms Get Right
42:09 The Physics Of Selling
50:16 Awareness First, Then Pipeline
51:55 Tired Of The Word Go-To-Market
1:00:23 AI, Product Velocity And Enablement
1:04:26 Is Sales A Power Law?
1:12:09 The Story Behind One Name

Bryan Murphy, CEO of Smartling, confronts a $40 billion industry stuck in the slow lane—the world of translation. Most companies still handle translations like it's 1999: manual, expensive, and painfully slow. Bryan saw AI as the game changer that could rewrite the rules, but integrating it wasn't a walk in the park.
He shares how Smartling harnessed AI to not just cut costs and speed up translation but to finally boost quality close to human-level precision without losing control over brand voice or nuance. Yet, making this leap meant upheaval: reorganizing teams, hiring AI experts, and establishing ruthless R&D discipline to separate winning ideas from distractions.

Bryan also shares:
- Why a $40 billion translation industry was ripe for disruption
- How AI helped Smartling move from faster and cheaper to dramatically better
- What it took to bring AI into a traditional business without sacrificing quality or brand voice
- Why hiring the right AI talent was critical to making the shift
- How ruthless R&D discipline helps separate breakthrough ideas from distractions
- Why every AI initiative needs a clear connection to customer outcomes

Chapters

00:00 - Introduction to Bryan Murphy and Defining the Translation Challenge
02:30 - The Hidden $40B Translation Market and Its Untapped Potential
06:00 - Early AI in Translation: Faster and Cheaper, But Not Yet Better
09:20 - Human-in-the-Loop AI: Boosting Translator Productivity Tenfold
13:00 - Unlocking Market Expansion Through Improved SEO and Digital Footprint
15:00 - The Moment of Truth: Recognizing GPT's Impact and Rolling Out Rapid Innovation
18:00 - Overcoming Organizational Challenges: From Excitement to Structured Execution
22:00 - The Discipline of "Customer-First" in AI Development and Roadmapping
24:00 - Leadership Lessons: Listening Without Losing Vision Amidst Painful Change
26:00 - Winning Customer Trust: Betting On Proofs of Concept Against Skeptics
28:00 - Personal Insights: Favorite Leadership Books and the Role of Intellectual Curiosity
33:00 - Wrap-up and Invitation to Follow Smartling's AI-Empowered Evolution
Try Smartling: smartling.com