How to Use AI to Find Profitable Niches on the Internet
A few places you should probably use AI to help you, based on the research we have (but do whatever you want):
-Idea generation
-Writing (not writing for you, maybe, but second opinions/proofing/etc)
-Advice/finding frameworks to solve problems
-Summarizing documents & meetings
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Learn to use AI: Build a company research assistant | Ben's Bites
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Ben
The explosion of generative AI made us pause and consider what was possible now that wasn’t a year ago. We tried many ideas which didn’t really click, eventually discovering the power of turning every feed and job posting into a springboard to:
- Get information faster , e.g. takeaways from a post or learn about the latest from a company.
- Connect the
Juan Pablo Bottaro • Musings on Building a Generative AI Product
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Using AI to recommend additional content from the internet that enhances the training on particular subjects (if you’re a junior programmer who codes in Python, for example, it will serve you the top YouTube video on Python),
Packy McCormick • SkillMagic: Not Boring Investment Memo
sari added
Despite of (or in fact, because of) all its constraints and weirdness, AI is perfect for idea generation. You often need to have a lot of ideas to have good ideas. Not everyone is good at generating lots of ideas, but AI is very good at volume. Will all these ideas be good or even sane? Of course not. But they can spark further thinking on your par
... See moreEthan Mollick • How to use AI to do practical stuff: A new guide
sari added
How I use Reddit and AI to find winning startup ideas
The entire playbook in this 21 minute video and 4 step tweet:
1) Use AI tool Gummy Search to find trending subreddits:
- Target 10k-100k member communities (less competitive)
- Answer the "why now" question (easier)
- Leverage your "unfair advantage" (your moat)
- Pro tip: Track d... See more
Lorenzo added
The way I see it, AI is already incredibly good at priming us while we’re writing. It can show us the way towards ideas that are adjacent to those we’re currently exploring, much better than we could see on our own.
Every • Writing with Machines
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