2eazy extracts insights from YouTube videos and Reddit threads with one click, and turns them into LinkedIn posts, threads, or newsletter sections ready to paste. Everything is auto-organized by topic into a searchable library that grows with you. You review and edit before publishing—the AI drafts, you stay in control.
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Maker
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I built 2eazy because I was spending hours watching videos and reading threads, then struggling to turn those ideas into my own content. I wanted a tool that did the heavy lifting of extraction and drafting, but left me in control of the final output. Next up: adding support for more sources like podcasts and articles, and improving the library's search and organization.
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Curious how it handles long Reddit threads with thousands of comments, does it actually pull out the best insights or just summarize the top few, and do you have a free tier to test it out before committing?
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Maker
@ufuk375410 Good questions. On long threads: it doesn't try to read all 5,000 comments. It pulls the thread with Reddit's "top" ranking and analyzes the ~50 highest-scored comments, nested replies included, so the insights come from where the signal concentrates. In practice the best material lives there rather than in the tail, but it does mean a buried gem at comment #800 won't make it in.
Free tier: yes, 5 extractions per month, no card needed. Enough to throw your own threads at it before deciding anything.
If you test it on a monster thread and something feels off, tell me. Comment depth is one of the dials I'm still tuning.
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How does the source tracking actually work when you pull from Reddit threads? I’m curious if it pulls the actual post URL and author so I can credit them properly in the LinkedIn draft, or if everything gets rewritten without attribution.
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Maker
@beratmcdecotaw Good question. Every extraction stores the original post URL and author. Each insight in your library has a link icon that takes you straight back to the thread it was extracted from, so even when one folder collects insights from several different threads, you can trace which thread each line came from. Drafts also append a "Source:" credit line by default. What it doesn't do yet is inject the author's handle into the draft body automatically: author and link sit right next to the draft, so crediting properly is a paste, not a hunt. Auto-including the handle as an option is a genuinely good idea though. Adding it to the list.
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Pulled a few Reddit threads on freelance pricing and the LinkedIn drafts actually sounded like me, just tighter. Topic library made it easy to find them again later.
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Maker
@n_lok72335 Thanks Aydın! "Sounded like me, just tighter" is exactly what I was going for with the drafting layer. Out of curiosity, which subreddits did you pull the pricing threads from? Freelance pricing keeps coming up as a use case. And if the topic library ever files something in a weird place, tell me: the auto-organization is the part I'm still tuning.
Curious how it handles long Reddit threads with thousands of comments, does it actually pull out the best insights or just summarize the top few, and do you have a free tier to test it out before committing?
@ufuk375410 Good questions. On long threads: it doesn't try to read all 5,000 comments. It pulls the thread with Reddit's "top" ranking and analyzes the ~50 highest-scored comments, nested replies included, so the insights come from where the signal concentrates. In practice the best material lives there rather than in the tail, but it does mean a buried gem at comment #800 won't make it in.
Free tier: yes, 5 extractions per month, no card needed. Enough to throw your own threads at it before deciding anything.
If you test it on a monster thread and something feels off, tell me. Comment depth is one of the dials I'm still tuning.
How does the source tracking actually work when you pull from Reddit threads? I’m curious if it pulls the actual post URL and author so I can credit them properly in the LinkedIn draft, or if everything gets rewritten without attribution.
@beratmcdecotaw Good question. Every extraction stores the original post URL and author. Each insight in your library has a link icon that takes you straight back to the thread it was extracted from, so even when one folder collects insights from several different threads, you can trace which thread each line came from. Drafts also append a "Source:" credit line by default. What it doesn't do yet is inject the author's handle into the draft body automatically: author and link sit right next to the draft, so crediting properly is a paste, not a hunt. Auto-including the handle as an option is a genuinely good idea though. Adding it to the list.
Pulled a few Reddit threads on freelance pricing and the LinkedIn drafts actually sounded like me, just tighter. Topic library made it easy to find them again later.
@n_lok72335 Thanks Aydın! "Sounded like me, just tighter" is exactly what I was going for with the drafting layer. Out of curiosity, which subreddits did you pull the pricing threads from? Freelance pricing keeps coming up as a use case. And if the topic library ever files something in a weird place, tell me: the auto-organization is the part I'm still tuning.