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Reinterpreting Classics: AI in Literature
This chapter explores the innovative use of AI to modernize classic literature, making it more engaging and accessible for today's audiences. It also discusses new monetization strategies and startup opportunities that emerge from adapting these timeless texts.
In this episode, I am joined by Dan Shipper, co-Founder and CEO of Every, as we explore a wide range of AI startup ideas and business opportunities
Timestamps:
00:00 - Intro
01:12 - Startup Idea 1: Advanced Voice Notes
08:59 - Startup Idea 2: N of 1: Personalized Data Science Marketplace
16:12 - Startup Idea 3: Great Books Reimagined
28:28 - Trend to Watch: Voice-First Products
34:33 - Distribution Strategy for AI Apps
1) Advanced Voice Notes
Imagine voice notes you can actually talk to!
- Record your thoughts while walking
• AI creates smart summaries
• Team members can "interview" the recording
• Get deeper context without endless follow-up questions
The future of media might be media you can talk to.
2) N of 1: Personalized Data Science Marketplace
Remember Netflix's $1M algorithm challenge?
Now ANYONE can be a data scientist with GPT-4.
- Post personal/business datasets
• Set bounties for predictions
• Perfect for health tracking
• New way to do personalized science
Market size: Think Kaggle but for everyone.
3) Great Books Reimagined
Classic literature is valuable but hard to digest.
The opportunity:
• AI-powered modern translations
• Format classics for specific audiences
• Create multimedia versions
• Add interactive elements
Two markets:
- Students (massive TAM)
- Business intellectuals (high willingness to pay)
4) The Luxury AI Paradox
Key insight: As AI makes things cheaper, human-made becomes luxury.
Examples:
• Broadway shows
• Handmade clothing
• Mechanical watches
Opportunity: Look for what AI is making cheap, then create premium human-made alternatives.
5) Voice-First Products
Huge trend: Kids growing up with voice interfaces (Apple Watch + Siri)
Opportunities:
• Voice-first travel booking
• Conversational commerce
• Voice-native discovery engines
TAM: Could capture 1-5% of existing markets just by being voice-first.
6) Distribution Strategy for AI Apps
Dan's approach:
• Build media presence first
• Target like-minded audience
• Use early adopters for feedback
• Start with YouTube → funnel to email
• Product-led growth after initial traction
Want more free ideas? I collect the best ideas from the pod and give them to you for free in a database. Most of them cost $0 to start (my fav)
Get access: https://www.gregisenberg.com/30startupideas
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/
BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/
Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co
FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/
FIND DAN ON SOCIAL
X/Twitter: https://x.com/danshipper
LinkedIn: https://www.linkedin.com/in/danshipper/
Youtube: https://www.youtube.com/@EveryInc/videos
Every: https://every.to
Spiral: https://spiral.computer/
Sparkle: https://makeitsparkle.co
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