Greg Isenberg Startup Opportunity Scanner

// When should I use the Greg Isenberg Startup Opportunity Scanner?

Use this skill when you are searching for a startup idea, evaluating a market category, or trying to figure out which niche and product combination to pursue. Also apply it when you have an idea but are unsure how to position it, monetize it, or differentiate it.

// What inputs do I need to run the Startup Opportunity Scanner?

• Category of interestrequired
  The broad market or trend area the user wants to explore (e.g., health tech, creator economy, elder care, pet products)
• User's unfair advantages
  Skills, networks, lived experiences, or obsessions the user brings to this space
• Target audience hypothesis
  Any early sense of who the end customer might be — age, lifestyle, pain point
• Willingness-to-spend signal
  Evidence that the target audience already spends money on related problems (e.g., over-the-counter products, existing subscriptions, competitor revenue)

// What are the core principles behind Greg Isenberg's startup methodology?

// How do you apply the Startup Opportunity Scanner step by step?

1. 1

   Name the broad category and list all obvious sub-niches within it

   Start wide. If the user says 'health tech,' list sub-niches: gut health, elder mobility, pet health, longevity, women's hormones, etc. Do not evaluate yet — just enumerate. Use the CVS Shelf Heuristic to surface pain-point-dense verticals.

2. 2

   Apply the 'Fish Where the Fish Are' filter to each sub-niche

   For each sub-niche, ask: Is this space crowded with builders targeting 13–35 year-olds? If yes, flag the inverse — who is being ignored? Prioritise sub-niches serving 45–65+ users, niche hobbyists, parents, or people with specific chronic conditions. These audiences often have more disposable income and lower competition.

3. 3

   Run the three-question Niche Qualification Test

   Ask three questions for each candidate niche: (1) Is this audience underserved — are there few products built specifically for them? (2) Does this audience have disposable income OR demonstrated willingness to spend on this pain? (3) Is there a clear, sharp pain point — not vague discomfort, but something they are already spending money to patch (pharmacy shelf, existing subscriptions, doctor visits)? Only niches that pass all three move forward.

4. 4

   Identify the Job-to-be-Done stack for the target persona

   Pick the winning niche and the specific job title or persona within it. Ask Claude or ChatGPT to list the 30–50 jobs-to-be-done for that persona. For an AI employee opportunity: what are all the tasks a junior YouTube producer does? For a community opportunity: what does a lonely 50-year-old dad actually need week to week? This list becomes your product roadmap.

5. 5

   Select the right product category: Action App, Community/IRL, Elder Tech, Creator Media, or Personalized Health

   Match the niche's pain points to the product category that fits: repetitive digital workflows → Action App (agent-first); loneliness, connection, shared interest → Third Space / Community App / IRL event; 65+ underserved → Elder Tech; content + audience building → AI Native Media Company or Live Unscripted Show; health data + specific condition → Vertical Personalized Nutrition or Health app. One niche may support multiple product types — note all of them.

6. 6

   Design the monetization stack using the Free + Premium model

   Layer the business model: free or low-cost entry (content, open community, cheap events) feeds into premium offers (membership, in-person retreats, high-ticket cohorts, AI employee subscription). Recurring revenue via membership is preferred. For IRL/community businesses, note that even tiny audiences (1,000–2,000 engaged members) can generate €400–500K/year through events, merch, and Patreon — no ads required.

7. 7

   Apply 'Date the Product, Marry the Niche' to stress-test the idea

   Remind the user: the niche is the long-term bet, the product is the first experiment. Ask: If this exact product fails, could you pivot to a different product for the same niche? If yes, the niche selection is sound. If the answer is no (the business only works with this one product), reconsider whether the niche is truly the commitment.

8. 8

   Identify the acquisition wedge — how does the first 1,000 users find this?

   For Action Apps: reverse-engineer a TikTok or Instagram Reel that dramatises the pain (the 'skit of someone doing the task manually and suffering'). For community/IRL: start with a niche Discord, subreddit, or Facebook group targeting the exact persona. For Elder Tech: Facebook ads still work — the 50+ audience is active there and underpriced. For AI media: study a successful AI-native creator in an adjacent niche and replicate the content format for your vertical.

9. 9

   Sanity-check for builder-market fit

   Ask: Does the person building this have an unfair advantage — lived experience of the pain, existing audience in this niche, or a skill (event organisation, health background, coding) that others don't? A great niche with no builder-market fit is still hard. Flag mismatches and suggest pivots.

// What are real examples of the Startup Opportunity Scanner in action?

// What mistakes should I avoid when using this framework?

• Marrying the product instead of the niche — pivoting away from a great niche because the first product didn't work, rather than iterating on the product within the same niche.
• Fishing in crowded water — building for the 13–35 demographic because it feels exciting, while ignoring 45–65+ audiences who have more disposable income and less competition.
• Building horizontal when the opportunity is vertical — creating a generic 'health app' or 'AI employee platform' instead of going deep on one specific condition, workflow, or job title.
• Bolting AI on instead of going agent-first — adding AI as a feature to an existing app UX rather than reimagining the core experience around agents doing things on the user's behalf.
• Mistaking set-and-forget for low engagement — worrying that a fully automated action app will feel low-value to users. The creator's position: convenience to the max is the goal; humans are always seeking the path of least resistance.
• Ignoring Facebook as an acquisition channel for older audiences — assuming Facebook ads don't work because your peer group isn't on Facebook, when in fact the 50–65+ demographic is highly active and underpriced there.
• Creating AI slop instead of AI-native quality — using AI to produce high-volume low-quality media content. The bet is on top-1% quality AI-native media in a specific niche, with a human in the loop, not volume-driven slop.
• Under-pricing IRL and community businesses — assuming events and retreats are low-margin. The niche selection (entrepreneurs vs. general public) is what determines margin, not the format.

// What are the key terms in Greg Isenberg's startup framework?

Action Apps

A category of mobile apps where AI agents do things on the user's behalf — clearing inboxes, booking calendars, filing expenses — rather than presenting a UI that requires human input. The agent-first equivalent of the mobile-first transition that happened to web apps.

Date the Product, Marry the Niche

Greg Isenberg's core strategic principle: the niche (audience) is the long-term commitment; the product is the first experiment and can change. A bad niche will kill even a great product. A great niche will survive multiple product pivots.

Fish Where the Fish Are

Target audiences that are underserved and have money to spend — typically older demographics (45–65+), niche hobbyist communities, or specific condition-sufferers — rather than competing for the crowded 13–35 market.

Verticalization

Going narrow and deep on a specific niche, condition, persona, or use case instead of building a horizontal solution. 'Zoey for GERD' instead of 'health app.' 'AI junior YouTube producer' instead of 'AI employee platform.'

Third Spaces

Physical or digital environments that are neither home nor work — communities, clubs, Discord servers, event spaces — that solve the loneliness epidemic by giving people a place to gather, connect, and do things together.

Elder Tech

Technology products — mobile apps, AI agents, hardware, communities — designed specifically for adults 65+, addressing pain points around hearing, mobility, memory, vision, and social connection. A massively underserved market with 70M+ boomers in the US.

AI Native Media Company

A media brand built using AI to produce content (video, social posts, newsletters) at scale in a specific niche, with the AI-assisted nature disclosed to the audience. The goal is to build a high-quality, top-1% audience in a niche, then monetise with products or apps.

CVS Shelf Heuristic

An ideation method: walk into a pharmacy and identify which over-the-counter product categories occupy entire rows of shelf space. That density signals a massive, painful, underserved problem — a strong vertical candidate for a health or wellness startup.

Free + Premium Stack

A monetization architecture where a low-cost or free entry product (open meetup, free content, cheap event) qualifies and warms an audience, which is then sold a high-ticket premium version (retreat, mastermind, membership, in-person cohort).

Juniors

Greg Isenberg's proposed brand positioning for AI employee companies: focus on replacing junior-level, repetitive, non-creative work rather than claiming to replace senior talent. Lower threat perception, easier sale, and matches current AI capability honestly.

Jobs-to-be-Done Stack

A methodology for defining an AI employee or action app: enumerate all 30–50 tasks a specific job title performs, then build agents to cover them incrementally — starting with 2–3 jobs, expanding to 10, then 50, until a true digital employee is achieved.

// FREQUENTLY ASKED QUESTIONS