Scott Belsky (Adobe, Behance)18 May 2023

Lessons on building product sense, navigating AI, optimizing the first mile, and making it through the messy middle

7Frameworks

15Insights

Episode overview

Lenny Rachitsky interviews Scott Belsky about developing product sense through customer empathy, psychology, and close observation of how people work. Belsky argues that teams should simplify products around their core action, continually improve the onboarding “first mile,” and use AI to explore more possibilities while reducing repetitive work. He also explains how founders can endure the messy middle through visible progress and should reconsider a venture when informed conviction in its problem and solution has dissipated.

Key ideas

Build product sense by observing customers in the full context of their day and cultivating empathy for the problem rather than attachment to a solution.
Treat onboarding, orientation, and defaults as the product’s first mile, then revisit them as later customer cohorts become less forgiving.
For an MVP, optimize for desirable future problems: help customers reach value first and let their requests reveal which additional capabilities matter.
Removing peripheral Behance features increased use of its core portfolio-publishing action, illustrating the leverage of ruthless product simplification.
AI can collapse organizational boundaries, let individuals answer more questions themselves, and expand the surface area that product teams and creatives can explore.
The practical response to AI is to play with emerging tools, pursue curiosity, and use regular writing as a forcing function for understanding implications.
Teams survive the messy middle by creating micro-milestones, celebrating progress, and maintaining a clear narrative about movement toward the goal.
Founders should persist when learning increases conviction, but consider pivoting or quitting when informed conviction in the problem and solution has broadly disappeared.

Transcript available · source text is retained privately and is not published

Frameworks in this episode

Finance3 steps

Belsky's Founder Bet Checklist

Back mission-driven, pragmatically pessimistic founders building products with a clear object model.

Read →

Productivity3 steps

Do Half, Then Go on a Killing Spree

Build half the features, then remove things until the one core action runs at 10x velocity.

Read →

Leadership3 steps

Merchandise Progress Through the Messy Middle

Short-circuit the human reward system with agreed micro-goals and a narrated sense of progress.

Read →

Strategy3 steps

Optimize for the Problems You Want to Have

Only build features that stop people from reaching the point where they'd ask you for more.

Read →

Entrepreneurship3 steps

The Conviction Test for Whether to Quit

Compare your conviction now versus at the start to decide whether to persevere or pivot.

Read →

Innovation3 steps

The First Mile: Lazy, Vain, and Selfish

Design onboarding for the first 30 seconds, when every new user is lazy, vain, and selfish.

Read →

Innovation3 steps

The Object Model: Three Questions Every Screen Must Answer

On every screen, a user should know how they got here, what to do now, and what to do next.

Read →

People & resources mentioned

Attributed to the moment in the episode. Timestamps are approximate.

People · 12

Scott BelskyMentionsHe's a former founder starting a company called Behance that he sold to Adobe where he worked up the ranks to chief product officer
“Today, my guest is Scott Belsky. Scott is an absolute product legend.”
▶ Watch at ~1:00approx.
Lenny RachitskyMentionstoday we've got another very special compilation episode something I've been pulling on more and more with the podcast and the newsletter
“Scott, welcome to the podcast.”
▶ Watch at ~4:30approx.
Shishir MehrotraMentionsshashir marocha is the co-founder and ceo of koda before starting koda shashir led the youtube product engineering and design teams
“It makes me think of something Sashi uh the CEO of Coda shared”
▶ Watch at ~12:30approx.
Marc AndreessenMentionsMark Andre had this visual on some podcasts have just imagined a 100,000 drones just coming out of China just at us.
“It makes me think of Marc Andreessen has this awesome quote that I always come back to”
▶ Watch at ~14:30approx.
Gustav SöderströmMentionsGustav is a product legend and he's now the co-president, chief product, and chief technology officer at Spotify
“reminds me of something I just talked about with Gustaf from Spotify”
▶ Watch at ~16:00approx.
Ben SilbermannMentionsmentioned
“I think of Pinterest. You know, I and I was Ben's first seed angel or, you know, and product advisor.”
▶ Watch at ~17:00approx.
Matt MocharyMentionsMatt is a full-time executive coach but not just any coach he's worked with folks like nabal the CEOs of openai coinbase Reddit
“this is exactly like Matt Mochary, who's actually the number one most popular podcast episode”
▶ Watch at ~25:30approx.
Howie LiuMentionsToday, my guest is Howie Lou. Howie is the co-founder and CEO of Air Table.
“I was having this discussion with with Howie who runs Airtable actually just earlier today”
▶ Watch at ~27:00approx.
Tony FadellCoinedHe co-created some of the most innovative and beautiful and popular products in history. The iPod, the iPhone, the Nest thermostat.
“First is Build by Tony Fadell.”
▶ Watch at ~55:00approx.
Vinod KhoslaMentionsVinod Khosla was on my board and he said the team you build is the company you build.
“if you believe in Vinod Khosla's prediction that 80% of the work of 80% of jobs will be replaced by AI”
▶ Watch at ~56:30approx.
Kevin KellyMentionsYou mentioned Kevin Kelly's 1,000 True Fans, which has become this like canonical piece of writing on the internet now.
“Kevin Kelly on Tim Ferriss was talking about how AI and ChatGPT is basically an intern.”
▶ Watch at ~1:00:30approx.
Tim FerrissMentionsCited for his fear-setting framework and as an influence on Paul Millerd's five-episode podcast experiment.
“Kevin Kelly on Tim Ferriss was talking about how AI and ChatGPT is basically an intern.”
▶ Watch at ~1:00:30approx.

Resources · 45

Lenny's PodcastCoinedpodcast · Lenny Rachitsky
“Welcome to Lenny's podcast where I interview world-class product leaders and growth experts”
▶ Watch at ~1:00approx.
FlexportMentionscompany · Ryan Petersen
“He's also an angel investor in companies like Pinterest, Uber, Airtable, Flexport, Warby Parker, and many more.”
▶ Watch at ~1:30approx.
BehanceCoinedwebsite · Scott Belsky and co-founders
“He's a former founder starting a company called Behance that he sold to Adobe”
▶ Watch at ~1:30approx.
The Messy MiddleCoinedbook · Scott Belsky
“He's also an author of the beloved book The Messy Middle.”
▶ Watch at ~1:30approx.
Warby ParkerMentionscompany
“He's also an angel investor in companies like Pinterest, Uber, Airtable, Flexport, Warby Parker, and many more.”
▶ Watch at ~1:30approx.
BraintrustMentionscompany · Braintrust
“This episode is brought to you by Braintrust where the world's most innovative companies go to find talent fast”
▶ Watch at ~2:00approx.
EppoMentionssoftware · Eppo
“This episode is brought to you by Eppo. Eppo is a next-generation AB testing platform built by Airbnb alums”
▶ Watch at ~3:30approx.
AdobeMentionscompany
“For the longest time you were chief product officer at Adobe”
▶ Watch at ~5:00approx.
PhotoshopMentionssoftware · Adobe
“when you look at a product like Photoshop, for example, it used to cost hundreds and hundreds of dollars”
▶ Watch at ~12:00approx.
CodaMentionssoftware · Coda
“It makes me think of something Sashi uh the CEO of Coda shared”
▶ Watch at ~12:30approx.
NetflixMentionscompany · Netflix
“it's between dealing with their kids or their loved ones or watching Netflix or whatever the case might be.”
▶ Watch at ~14:00approx.
TeslaMentionscompany · Tesla, Inc.
“You know, you look at a a product like Tesla.”
▶ Watch at ~15:30approx.
SpotifyMentionssoftware · Spotify
“reminds me of something I just talked about with Gustaf from Spotify”
▶ Watch at ~16:00approx.
ClubhouseMentionssoftware · Alpha Exploration Co.
“Like, BeReal is kind of going through this now, Clubhouse, Paparazzi went through this”
▶ Watch at ~16:30approx.
BeRealMentionssoftware · BeReal
“Like, BeReal is kind of going through this now, Clubhouse, Paparazzi went through this”
▶ Watch at ~16:30approx.
PinterestMentionscompany · Pinterest
“I think of Pinterest. You know, I and I was Ben's first seed angel or, you know, and product advisor.”
▶ Watch at ~17:00approx.
UberMentionscompany · Uber
“You know, Uber was a consumer product, right? But, it built a network effect that was never there before.”
▶ Watch at ~17:00approx.
Apple CameraMentionssoftware · Apple
“those features are then brought into the native Apple camera, for instance.”
▶ Watch at ~18:30approx.
FacebookMentionscompany · Meta
“I think Instagram became valuable to Facebook because of that phenomenon.”
▶ Watch at ~20:00approx.
InstagramMentionssoftware · Meta
“I think Instagram became valuable to Facebook because of that phenomenon.”
▶ Watch at ~20:00approx.
SnapchatMentionssoftware · Snap Inc.
“I think Snapchat emerged under that world.”
▶ Watch at ~20:00approx.
FireflyMentionssoftware · Adobe
“You all launched Firefly, which a lot of people are really excited about.”
▶ Watch at ~26:00approx.
AirtableMentionssoftware · Airtable
“I was having this discussion with with Howie who runs Airtable actually just earlier today”
▶ Watch at ~27:00approx.
IBMMentionscompany
“We were talking about the leader at IBM who announced that he's not going to hire 8,000 people”
▶ Watch at ~27:30approx.
TikTokUsessoftware · ByteDance
“I have a TikTok account, and I have this team that helps with the TikTok”
▶ Watch at ~29:00approx.
RowsMentionssoftware · Rows
“Rose is different. It combines a modern spreadsheet editor, data integrations with APIs and your business tools”
▶ Watch at ~32:00approx.
TwitterMentionswebsite · Twitter
“you can import reports straight from Google Analytics, Facebook Ads, or Twitter.”
▶ Watch at ~32:00approx.
Facebook AdsMentionsproduct · Meta
“you can import reports straight from Google Analytics, Facebook Ads, or Twitter.”
▶ Watch at ~32:00approx.
Google AnalyticsMentionssoftware · Google
“you can import reports straight from Google Analytics, Facebook Ads, or Twitter.”
▶ Watch at ~32:00approx.
SnowflakeMentionscompany · Snowflake Inc.
“you can use Rose to do your analysis on data straight from BigQuery or Snowflake.”
▶ Watch at ~32:00approx.
BigQueryMentionssoftware · Google
“you can use Rose to do your analysis on data straight from BigQuery or Snowflake.”
▶ Watch at ~32:00approx.
ConfluenceMentionssoftware · Atlassian
“embed charts, tables, and calculators into Notion, Confluence, or anywhere on the web.”
▶ Watch at ~32:30approx.
StripeMentionscompany · Patrick Collison and John Collison
“you can natively plug Stripe, Salesforce, or HubSpot directly into Rose.”
▶ Watch at ~32:30approx.
SalesforceMentionscompany · Salesforce
“you can natively plug Stripe, Salesforce, or HubSpot directly into Rose.”
▶ Watch at ~32:30approx.
HubSpotMentionscompany · HubSpot
“you can natively plug Stripe, Salesforce, or HubSpot directly into Rose.”
▶ Watch at ~32:30approx.
NotionMentionssoftware · Notion Labs
“embed charts, tables, and calculators into Notion, Confluence, or anywhere on the web.”
▶ Watch at ~32:30approx.
ImplicationsCoinednewsletter · Scott Belsky
“The reason I started the Implications newsletter is because I was seeing this high velocity of new stuff every day”
▶ Watch at ~38:30approx.
Adobe ExpressMentionssoftware · Adobe
“we have something called the Adobe Express in market, and our generative AI offering is called Firefly.”
▶ Watch at ~53:00approx.
BuildRecommendsbook · Tony Fadell and Noam Lovinsky's wife
“First is Build by Tony Fadell.”
▶ Watch at ~55:00approx.
The 48 Laws of PowerRecommendsbook · Robert Greene
“I think the laws of power like talks about tons of wars over centuries”
▶ Watch at ~55:30approx.
CosmosRecommendstv show
“I know one is called Cosmos on Netflix.”
▶ Watch at ~56:30approx.
QueueRecommendssoftware
“I've been playing with a product called Queue, and it's Q U E U E, I think.”
▶ Watch at ~59:00approx.
TomeRecommendssoftware
“it's a product called Tome and uh and they can take a narrative or that you want to put into a presentation”
▶ Watch at ~1:00:00approx.
scottbelsky.comCoinedwebsite · Scott Belsky
“I'm easy to find. Uh just scottbelsky.com or @scottbelsky on your favorite favorite social network of choice”
▶ Watch at ~1:01:30approx.
Apple PodcastsMentionssoftware · Apple Inc.
“you can subscribe to the show on Apple Podcasts, Spotify or your favorite podcast app.”
▶ Watch at ~1:02:00approx.

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 4

Hot Take15:00

People Only Talk About What a Product Does That They Didn't Expect

Belsky observes that customers rarely rave about a product doing exactly what it was supposed to do; they talk about the surprising things, like a Tesla Easter egg. He argues teams should deliberately optimize for surprise and delight to spark word of mouth and build a relationship with the product, borrowing a trick Hollywood uses constantly.

Users don't discuss products meeting expectations, only exceeding or surprising them
Example: people talk about the Tesla dashboard Easter egg, not a good drive
Surprise and delight drives conversation and product loyalty
Great consumer products pull a 'magic trick' that feels like magic

“people don't talk about a product doing exactly what they expected it to do. They talk about a product doing what they didn't expect.”
Scott Belsky · 15:00

#consumer#surprise and delight#word of mouth

Hot Take16:30

Most New Consumer Products Are Just Clever Momentary Interfaces

Belsky argues durable consumer products need something working 'under the hood' — a network effect, tapped excess capacity, or a genuinely new consumer insight — like Uber and Pinterest had. Many recent viral consumer apps are just clever momentary interfaces that end up as free R&D for the incumbent platforms, which copy any novel feature into their own products.

Uber built a new network effect and tapped previously unused excess capacity
Pinterest had a novel consumer-psychology insight and its own network effect and traffic loop
Recent viral apps are often 'clever momentary interfaces' with no durable moat
If a novel feature works, incumbents (TikTok, native camera) simply absorb it

“Uber was a consumer product, right? But, it built a network effect that was never there before. It leveraged excess capacity that was always there…”
Scott Belsky · 17:00

“They're fun and novel, but if they really work, those features are then brought into the native Apple camera, for instance.”
Scott Belsky · 19:00

#consumer#network effects#durability#moats

Hot Take44:30

When to Quit: The Conviction Test

Belsky's consistent advice to founders deciding whether to continue is to ask how much conviction they have now versus at the start. If they've learned more and have more conviction despite failures, they're just in the messy middle and should stick with it. If they'd never have started knowing what they know now, they should quit and pivot. Great founders know in their core that something needs to exist and are relentless until it does.

Compare conviction now vs. at the beginning of the journey
More conviction despite failures = messy middle, keep going
'If I knew then what I know now, I wouldn't have' = quit and pivot
Don't make a bold decision on a bad day, but heed a lasting loss of conviction

“If you've lost conviction, you should not be doing what you're doing in the world of entrepreneurship.”
Scott Belsky · 46:00

“Don't make a bold decision on a bad day.”
Scott Belsky · 46:30

#founders#quitting#conviction

Hot Take50:00

Resourcefulness Beats Resources — Capitalize on the Crisis

In a resource-constrained environment, Belsky argues resourcefulness carries you further than resources. For years teams solved problems by throwing money and headcount at them; now they're forced to refactor and leverage new technology like AI instead. He frames the constraint as an opportunity: resources are cards you spend, but resourcefulness is a muscle that stays with you and makes you stronger.

For 7-10 years teams threw money and headcount at every problem
Constraint forces refactoring and efficiency over hiring
Resources are like cards; resourcefulness is like muscle
The best companies are built in constrained eras — capitalize on the crisis

“I've always found that resourcefulness, you know, brings you further than resources”
Scott Belsky · 50:30

“if if if resources are cards, resourcefulness is like muscle. It stays with you, it makes you stronger”
Scott Belsky · 51:30

#resourcefulness#constraints#efficiency

Explainer· 5

Explainer09:30

In the First 30 Seconds, Every User Is Lazy, Vain, and Selfish

Belsky explains the 'first mile' of a product: the onboarding, orientation, and defaults a new user encounters. In the opening seconds people want speed, to look good, and to feel successful without enduring any learning curve. Teams spend their last mile of build time on the customer's first mile, and winning that top of funnel is what separates world-class product teams.

The first mile = onboarding, orientation, and defaults
New users are lazy, vain, and selfish in the first 30 seconds
They won't watch a tour, read anything, or tolerate a learning curve
Getting more people through the top of funnel is the mark of a world-class team

“in the first 30 seconds of using a new product, you are lazy, vain, and selfish.”
Scott Belsky · 09:30

“It's fascinating to me that most teams spend the final mile of their time building the product considering the first mile of the customer's experience…”
Scott Belsky · 10:00

#first mile#onboarding#activation#funnel

Explainer26:30

AI Takes Us From Workflow to Flow — and May Grow Headcount, Not Shrink It

Belsky is an optimist on AI: he sees it stripping the mundane, repetitive labor that holds back human ingenuity, getting us 'from workflow to flow.' Riffing on Airtable's Howie, he argues that as engineers got more productive companies wanted more of them, not fewer — so higher ingenuity per person may mean firms build more products and hire more people. He notes ChatGPT mostly mines and regurgitates 'the center' rather than finding new edges.

AI removes the friction/'work' in workflows, freeing ingenuity
More productive engineers historically increased, not decreased, demand for engineers
Companies with more ingenuity per person may run more products and hire more
ChatGPT mines and regurgitates the center rather than finding true new edges

“And I think that that's what AI kind of does is it gets us from workflow to flow.”
Scott Belsky · 27:00

“if you have more ingenuity per human being, maybe you can actually do more as a company.”
Scott Belsky · 28:00

#ai#productivity#future of work

Explainer33:00

AI's Superpower for Product Leaders: More Surface Area in Less Time

Belsky says the best designers and product leaders preserve time to explore many possibilities, narrow them, get feedback, and refine — and quality is largely a function of how much of the possibility surface they can explore. Generative AI expands that surface area in far less time. He cites a Hollywood director who uses ChatGPT not to write scripts but to generate scenarios, none of which he uses directly, that tell him what he wouldn't want to do.

Great product work = exploring the full surface area of possibility, then narrowing
Output quality scales with how much possibility you can explore in the time you have
Generative AI expands that surface area dramatically
A director uses ChatGPT for discarded scenarios that clarify what NOT to do

“the greatest performers I've ever worked with, whether they're designers or product leaders, basically preserve the time to explore lots of possibilities.”
Scott Belsky · 33:00

“I actually don't use any of them, but it just like gives me more surface area. It tells me the things that I wouldn't want…”
Scott Belsky · 34:00

#ai#design process#exploration

Explainer36:30

The 'Golden Gut' That Separates Junior From Senior Product Thinkers

Belsky defines the 'golden gut' as the instinct experienced product people develop while playing with a flow — sensing when to split one page into three steps, simplify, or remove something entirely and replace it with a presumptuous default. The senior instinct spots that reducing cognitive load for 90% of users is worth confusing 10%. These micro-decisions are where the golden gut lives.

The golden gut = instinct while playing with an experience or flow
It surfaces moves like splitting steps, simplifying, or removing entirely
A presumptuous default users can change beats a whole series of steps
Trading 10% confusion for 90% getting through faster is a senior-level call

“The golden gut is when you're when you're designing a an experience and uh and a flow, you are playing around, right?”
Scott Belsky · 37:00

“What if I just had a presumptuous default instead and customers could change it if they think they need to.”
Scott Belsky · 37:30

#product sense#design#cognitive load

Explainer41:30

Surviving the Messy Middle by Merchandising Progress

Belsky describes the middle years of any venture as messy because they are full of volatile lows you must endure through anonymity, uncertainty, and anxiety. Because humans are biologically wired for constant rewards, leaders should short-circuit the reward system with mutually agreed micro-goals. He likens teams to passengers in a blacked-out car: without the narrative that progress is happening, they go stir crazy, so leaders must 'merchandise progress.'

The middle is messy because it is full of volatile lows to endure
Humans need constant rewards, so celebrate mutually-agreed micro-goals
Life expectancy 100+ years ago was 25, so long bets fight our biology
Progress begets progress; leaders must steward the narrative of progress

“I always like to use the analogy of we're driving our teams across country as product leaders with the windows blacked out in the backseat…”
Scott Belsky · 43:30

“And so as product leaders like we have to merchandise progress. We have to be the steward of this narrative.”
Scott Belsky · 44:00

#messy middle#motivation#leadership

Story· 1

Story22:30

How Behance's 'Killing Spree' Taught Belsky to Do Half

Behance launched in 2008 overloaded with hedged features — groups, a tip exchange, portfolios, work-in-progress snapshots. When they killed the tip exchange, project publishing (the core metric driving traffic) went up; killing groups pushed it up again. They even removed portfolio color controls: users protested for 24 hours, then went quiet, and the core metric rose. The lesson: everything you think you need to do, you probably only need to do half of it.

Behance's most complicated version was ironically its earliest one
Killing the tip exchange and groups each increased project publishing
Removing portfolio color controls sparked 24 hours of complaints, then silence
Focusing the whole product on one thing runs the core metric ~10x faster
When adding a feature, consider what you can remove or replace

“And so we basically went on a killing spree. We just started killing things.”
Scott Belsky · 23:30

“Try to kill things and everything you think you need to do, you probably only need to do half of it.”
Scott Belsky · 24:30

#behance#focus#feature-cutting#metrics

Tool· 1

Tool59:00

Belsky's Product Picks: Queue and Tome

In the lightning round Belsky recommends Queue (spelled Q-U-E-U-E), an app for keeping a queue of content you want to watch across every streaming platform, where you can also see friends' queues and what's popular among people you know. As a favorite AI tool he names Tome, an app he invested in that turns a narrative into a draft presentation with imagery and compelling points, like handing work to an intern who returns something usable.

Queue: a cross-platform watchlist that also shows friends' queues
Queue creates a graph of what people you know want to watch
Tome: turns a narrative into a draft presentation with imagery and points
Tome feels like handing work to an intern who returns something usable

“it's basically a way to keep a queue of all of this content you want to watch across every streaming platform.”
Scott Belsky · 59:30

“just like a draft of this presentation with imagery and compelling points”
Scott Belsky · 1:00:00

#tools#apps#ai

Takeaway· 4

Takeaway08:30

Product Sense Starts With Empathy, Not Passion for Your Solution

Belsky says the biggest mistake product teams make is falling in love with their solution instead of developing deep empathy for the customer suffering the problem. Empathy tends to hand you the right solution, whereas passion for a preconceived idea can be slightly off-target. He frames product craft as fundamentally about human psychology.

Teams over-invest in a solution before understanding the customer's real problem
Empathy for the sufferer often reveals the correct solution
Passion for your idea can be '30 degrees off' from what actually works
Crafting product experiences is really an exercise in psychology

“often times the empathy gives you the solution, whereas the passion you have for whatever you think the solution is might be 30° off with…”
Scott Belsky · 09:00

#product sense#empathy#psychology

Takeaway21:30

Optimize for the Problems You Want to Have

When teams ask what belongs in the MVP, Belsky's rule is to optimize for the problems you want to have. You want customers who get through the funnel, feel successful, and then ask for more platforms, capabilities, or sharing — so don't build those features yet. Only build the things that stop people from ever caring enough to ask.

Don't build the features customers will only ask for once they love the product
Prioritize removing brick walls: sign-up, account connection, Google login
The features people request are 'good problems' — evidence they got value
Eliminate catastrophe-type blockers before adding capabilities

“I always tell them to optimize for the problems they want to have.”
Scott Belsky · 21:30

“Only do the things that prevent people from getting to the point where they care enough to ask you for anything.”
Scott Belsky · 22:00

#mvp#prioritization#product strategy

Takeaway38:00

Belsky's One-Word Advice for PMs Facing AI: Play

Asked how PMs stay ahead of AI, Belsky's answer is a single word: play. The risk of experience is getting stuck in your ways and refusing new tools; the antidote is trying everything, pursuing every curiosity, and writing poems or drafting emails with generative AI just to see what's possible. He started his Implications newsletter as a forcing function to actually engage with the constant stream of new tools.

Play with every generative AI tool you can find
Experience breeds the risk of getting stuck in your ways
Pursue every curiosity to see what's newly possible
Writing (his Implications newsletter) is a forcing function to keep up

“Quite simply in one word, play.”
Scott Belsky · 38:00

“Make sure you try it. Make sure you play with it.”
Scott Belsky · 38:30

#ai#pm advice#learning

Takeaway47:00

What Belsky Looks For When Angel Investing in Founders

On team, Belsky values founders who listen and learn, and who care more about the mission than the money, because pre-revenue you need to be driven by something grander. He has an allergic reaction to promoters who sugarcoat the truth, and admires leaders who are optimistic about the future but pragmatic and even pessimistic about the present — because those are the people whose teams and investors will get the real truth in the messy middle.

Values founders who listen, learn, and value mission over money
Allergic to promoters who gloss over the hard parts
Wants leaders optimistic on the future but pragmatic/pessimistic on the present
Honest founders let teams and investors engage with the real problems

“I also have an allergic reaction to founders that are real promoters, you know, who are constantly trying to sugarcoat the truth, who you know,…”
Scott Belsky · 47:30

“optimistic about the future but very pragmatic and somewhat pessimistic about the present.”
Scott Belsky · 48:00

#founders#investing#team

Key ideas

Frameworks in this episode

Belsky's Founder Bet Checklist

Do Half, Then Go on a Killing Spree

Merchandise Progress Through the Messy Middle

Optimize for the Problems You Want to Have

The Conviction Test for Whether to Quit

The First Mile: Lazy, Vain, and Selfish

The Object Model: Three Questions Every Screen Must Answer

People & resources mentioned

People · 12

Resources · 45

Insights & moments

◆Hot Take· 4

People Only Talk About What a Product Does That They Didn't Expect

Most New Consumer Products Are Just Clever Momentary Interfaces

When to Quit: The Conviction Test

Resourcefulness Beats Resources — Capitalize on the Crisis

✶Explainer· 5

In the First 30 Seconds, Every User Is Lazy, Vain, and Selfish

AI Takes Us From Workflow to Flow — and May Grow Headcount, Not Shrink It

AI's Superpower for Product Leaders: More Surface Area in Less Time

The 'Golden Gut' That Separates Junior From Senior Product Thinkers

Surviving the Messy Middle by Merchandising Progress

❝Story· 1

How Behance's 'Killing Spree' Taught Belsky to Do Half

✦Tool· 1

Belsky's Product Picks: Queue and Tome

▲Takeaway· 4

Product Sense Starts With Empathy, Not Passion for Your Solution

Optimize for the Problems You Want to Have

Belsky's One-Word Advice for PMs Facing AI: Play

What Belsky Looks For When Angel Investing in Founders

Hot Take· 4

Explainer· 5

Story· 1

Tool· 1

Takeaway· 4