Niche curated search engine
Build a curated search experience over the open web restricted to a specific vertical (academic, medical, code), monetized via subscription or ads.
The idea, in plain language
Build a curated search experience over the open web restricted to a specific vertical, such as academic, medical, code, privacy, hedge-fund information, kids' music, or another focused domain, monetized via subscription, ads, reverse auction, or course sales. The videos split between AI-native brainstorms (MFM + Airtable founder: AI personal finance advisor, Cursor for email, an AI PE model that buys existing SMBs for you, uncensored AI search, AI-native social apps, AI avatar live shopping; Isenberg's Andrew Wilkinson on Deep Personality vibe-coded to about $20K/month, Harbor as an agent harness for SaaS companies, a $40K/month Claude bill, a vibe-coded Adapar replacement built in two weeks, and a vector DB over 132 minority investments) and adjacent verticals (MFM on HBR/HBP's billion-dollar case-study publishing arm and how to enter the case-study game in other verticals; MFM's teen-founder Zach Yadegari on a near-$100M app, audacity as the biggest skill, and semantic search on Instagram; MFM #540's drunk brainstorm of Better Than Google, a niche curated search, alongside Divorce Island and Habit Island; Isenberg's Jonathan Courtney on the Drip AI bookmark-resurfacing startup pitched at SMS/email delivery; Isenberg + Jesse Pujji on five niche ideas including a hedge fund info business at $100-200K/year via reverse auction with a 20-client cap and $10M+ EBITDA target, verticalized expert networks at $10M+ EBITDA, demographic-specific supplements, and AI-generated kids' music on Spotify; MFM explaining DuckDuckGo as a private search engine and browser with fewer ads and no tracking). Customers are vertical information buyers, including hedge funds, professionals, students, parents, and niche audiences, and the cited revenue ranges from Drip-style SMS/email plays and $100-200K/year hedge-fund info products up to HBR/HBP's billion-dollar case-study industry and DuckDuckGo's consumer scale.
Where the sources agree
- A vertical beats a generalist search — the corpus is the moat.
- Subscription, reverse-auction or case-study pricing beats ad-supported at scale for these verticals.
- AI lets a small team build what used to require an entire company (Wilkinson's vibe-coded products, the Airtable brainstorm).
- Proprietary information (HBR cases, hedge-fund intel, expert networks, vertical Q&A) is the defensible layer on top of the index.
- Audience-first and corpus-first are both viable starting points, but you need at least one before the other monetises.
Where they differ
- Channels: MFM contributes 5 and Isenberg 3, with no Koerner and no Starter Story; the channel mix is split between big-swing brainstorm (MFM) and operator-funnel (Isenberg).
- Pricing model varies widely: per-user subscription (DuckDuckGo-style, HBR cases), reverse auction (Pujji's hedge fund info at $100-200K/year), ad-supported search (DuckDuckGo free tier), and one-off case-study purchase (HBR).
- Corpus type differs: open-web crawl (DuckDuckGo, Better Than Google), proprietary expert-authored (HBR cases, vertical expert networks), AI-generated (kids' music), and structured data (Wilkinson's vector DB over 132 minority investments).
- Build approach: vibe-coded in days (Wilkinson), content-led (HBR), pure search infrastructure (DuckDuckGo), or AI agent over an existing corpus (Harbor).
- Customer mix: B2C privacy-conscious (DuckDuckGo), B2B professional (hedge fund info, expert network, HBR), parents (kids' music), developers (semantic search).
- Scale ceiling ranges from lifestyle micro (Drip) to billion-dollar (HBR/HBP, DuckDuckGo at consumer scale).
What each source says
MFMBrainstorming $10M AI Business Ideas w/ the Airtable Founder
MFM + Airtable founder brainstorm AI-native businesses — AI personal finance advisor, Cursor for email, an AI 'PE model' that buys existing SMBs for you, uncensored AI search, AI-native social apps and AI avatar live shopping.
Watch on YouTubeIsenbergAI Agents run my business and life (Andrew Wilkinson)
Andrew Wilkinson on restructuring work around AI agents — Deep Personality (vibe-coded to ~$20K/month), Harbor as an agent harness for SaaS companies, a $40K/month Claude bill, a vibe-coded Adapar replacement in two weeks, and a vector DB over 132 minority investments.
Watch on YouTubeMFMHow to Get a Slice of Harvard's Billion Dollar Case Study Industry | My First Million #222
MFM breaks down HBR/HBP's billion-dollar case-study publishing arm, how to enter the case-study game and other verticals that could work the same way (long-form teaching material sold to professionals).
Watch on YouTubeMFMZach is 18 & made $50m from an app. Here's the brutal breakdown of how he did it (and you can too)
Teen founder Zach Yadegari on a near-$100M app, getting rejected from Stanford, the 'biggest skill is your audacity' lens, plus pitches for semantic search on Instagram and a generic apps thesis.
Watch on YouTubeMFMWe Got Drunk And Came Up With 8 Business Ideas (#540)
MFM #540 — 8 drunk ideas including Habit Island, Fake Tate, Frivolous Lawsuit Company, Better Than Google (niche curated search), ShaanBox, Shots for Sober People, Divorce Island and Double or Nothing Coffee.
Watch on YouTubeIsenberg80 mins of life hacks to level up your career
Jonathan Courtney pitches 'Drip' — AI resurfaces bookmarks, saved content and curated entrepreneur bookmarks, delivered via SMS/email, plus generic career advice and book recs.
Watch on YouTubeIsenberg5 startup ideas targeting profitable niches
Greg + Jesse Pujji on five niche ideas: hedge fund info business ($100-200K/year, reverse auction, 20-client cap, $10M+ EBITDA), verticalized expert networks ($10M+ EBITDA), demographic-specific supplements (~$100/month) and AI-generated kids' music on Spotify as a passive-income play.
Watch on YouTubeMFMThe BEST Private Search Engine For Online Privacy & Security (DuckDuckGo 2020) | My First Million
MFM explains DuckDuckGo as a private search engine and browser that uses fewer ads and avoids tracking personal data — a product explainer more than a business idea.
Watch on YouTubeTools people use for this
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