Market SelectionProven Pattern

Ride existing waves of demand rather than creating new categories

Enter markets with strong existing demand rather than trying to convince users they have a problem. Ride trends and position your product as the solution to problems users already know they have.

When to use

When entering a market; when choosing what to build

Don't do this

Trying to create new demand for problems users don't recognize

22 Founders Who Did This

1
James Evans

Disrupting an existing category is far easier than creating a new one - customers already understand the problem

Result:Results not specified in source
2
Dominic Zijlstra

Reposition to higher-LTV customer segments when you discover unexpected demand patterns

Result:Applied by Dominic Zijlstra
3
Command AIby Vinay Ayyala

Compete in existing markets rather than trying to create new categories

Result:Applied by Vinay Ayyala at Command AI
4
Softgen.ai (and 6 other micro SaaS products)by Dominic Zijlstra

Monitored X/Twitter trends daily, identified emerging needs (Excel formulas, AI summarizers), and launched products aligned with trending topics

Result:Built and sold 7 apps, with Softgen.ai growing from $20K ARR to $500K ARR in 3 months by riding AI coding trend
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5
Stopprby David Attias

Used Google Trends to confirm 'stop sugar' keywords trending upward over 5 years, verified on TikTok/Instagram that French women influencers were creating sugar-quitting content, proving organic audience interest before building

Result:Entered market with validated demand pattern, targeting underserved French market with no direct competitors despite proven category success (Quitter making $200K/month)
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6
Superpower ChatGPTby Saadi

Built for ChatGPT platform which already had massive demand and hundreds of millions of users, rather than creating a new category or standalone product

Result:Extension found users organically through existing ChatGPT user base without paid marketing
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7
StealthGPTby Joseph

Entered market immediately after ChatGPT launch in 2022 when AI content detection tools were emerging, positioning for the counter-wave of evasion demand

Result:Rode the AI wave to $190K MRR by solving a problem users immediately understood they had
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8
Pluto LMSby Ian Fourie

Identified online education as inevitable trend and built platform before market was ready. When Covid forced schools and corporations online in 2020, demand exploded.

Result:Grew from stagnant to scaling business with 5 employees between 2020-2025
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9
Starter Storyby Pat Walls

Identified strong existing demand for founder case studies by consuming Indie Hackers content. Positioned Starter Story to serve the underserved non-technical founder audience that IH did not focus on

Result:Tapped into massive market demand for entrepreneur stories, growing to 1.6M monthly visitors and 4,000+ published case studies
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10
LinkedIn Operating Systemby Justin Welsh

While consulting for SaaS founders, noticed recurring DMs asking about his LinkedIn growth tactics rather than SaaS sales. Recognized this unsolicited demand signal as a bigger market opportunity than his planned consulting business

Result:Pivoted from SaaS consulting to LinkedIn education; first course earned $10,482 in month one; eventually generated $6.75M+ in product sales
11
Vantaby Christina Cacioppo

Identified that major 2016-2017 security breaches were creating a secular wave where enterprise buyers would require SOC 2 from startup vendors, even though almost no startups had SOC 2 at the time

Result:Built 3-year head start before competitors realized SOC 2 for startups was a large market. Grew from zero to $10M ARR while others still thought the market was niche.
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12
Walt Disney Studios Animationby Jeffrey Katzenberg

Invested heavily in feature animation when Disney's animation department was considered a dying division, betting that quality storytelling could revive audience demand for animated films

Result:Disney Animation Renaissance produced four blockbuster films in five years, growing studio profits sixfold to $8.5B over his decade-long tenure
13
Copycopterby Kamil Zowczak

Built AI text-to-video tool at the intersection of the AI wave and the short-form video content explosion on TikTok/YouTube Shorts

Result:Market timing was strong enough to generate viral adoption, though execution on monetization fell short
14
Vercelby Guillermo Rauch

Rode the COVID remote work wave that dramatically increased demand for efficient web development and deployment tools. Was already positioned as the simplification platform when demand surged

Result:Went from $21M Series A to $2.5B unicorn valuation in 14 months. Reached $9.3B valuation by September 2025
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15
Canvaby Melanie Perkins

Rode the existing wave of social media growth that created millions of people who needed design tools but could not use Adobe. Did not try to create a new category - addressed the obvious growing demand from the social media explosion.

Result:Timed to the social media boom of 2012-2013; reached 1M users within a year of launch
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16
Puff Countby Steven Cravotta

Entered the quit-vaping space when vaping was trending rapidly among college students and anti-vaping content was going viral on TikTok, riding an existing wave of demand

Result:Tapped into massive organic interest with 75M+ TikTok views on vaping-related content
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17
CodeGuideby CJ Zafir

Timed product launch to ride the AI coding tool explosion of late 2024, building for the growing wave of developers using Cursor, Bolt, Claude Code

Result:41,000+ developers adopted CodeGuide as AI coding ecosystem expanded
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18
Levelsby Josh Clemente

Founded in 2019 riding the quantified-self and biohacking wave - consumers were already tracking sleep (Oura), heart rate (Whoop), and steps (Fitbit). Glucose was the obvious next biometric, and CGM hardware already existed for diabetics but not wellness consumers

Result:200,000+ person waitlist and 50K early users by 2021 by positioning glucose as the next biometric in an existing trend
See Levels growth story →
19
Elephasby Kamban S

Built Elephas immediately when GPT-3 launched, recognizing that AI writing assistance was an emerging wave. Created a simple wrapper to make GPT-3 accessible through Mac apps before competitors.

Result:First version trended on HackerNews homepage, validating demand for native AI integration
See Elephas growth story →
20
Headlimeby Danny Postma

Pivoted to GPT-3 integration shortly after its launch by emailing OpenAI's CTO directly for early access. Rode the AI/GPT-3 wave in copywriting before larger competitors entered.

Result:First-mover advantage in AI copywriting space. Revenue doubled every few weeks after GPT-3 integration, reaching $20K MRR and attracting acquisition interest.
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21
Fiscal.aiby Braden Dennis

Launched FinChat in April 2023 by combining existing financial data aggregation (3 years of work) with the LLM wave. Positioned as 'ChatGPT for finance' at peak AI interest.

Result:Surpassed 100,000 users in first month vs 2 years to reach 50,000 with Stratosphere
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22
Justin.tvby Justin Kan

Rode the wave of YouTube's success by creating a live streaming alternative when video consumption was exploding online

Result:Hit 1 million registered users by July 2008, 21 million by 2009
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