CommentCanvas
Turn Comments Into Sanpshots
6 followers
Turn Comments Into Sanpshots
6 followers
CommentCanvas helps YouTube creators instantly turn comments into beautiful, shareable snapshots - without manual screenshots. Paste a video link, filter comments by sentiment, detect audience questions, analyze emotions, and export styled images in bulk. It’s not just a screenshot tool, but a comment insights workspace for smarter content planning and audience understanding.
CommentCanvas makes engaging and organizing feedback around content much more intuitive — transforming comment threads into visual, contextual spaces feels like a practical way to keep teams aligned without losing the nuance of each idea.
Hey Product Hunt 👋
Quick update on a new feature I’m building next: Social Canvas 👀
While working on CommentCanvas, I realized creators often want to share or feature existing social posts—their own or others’—but the raw screenshots usually don’t look great. Cropping, resizing to 1:1, adding backgrounds… it’s all manual work again.
So instead of taking a post URL, Social Canvas starts from a screenshot of a social post. You upload the screenshot, and it automatically turns it into a clean, square (1:1) social-ready image with beautiful backgrounds and preset styles (gradients, glow, solid, transparent, etc.). No heavy editing controls—just fast, polished results.
The idea is simple:
turn messy screenshots into shareable, featured visuals, perfect for reposts, highlights, carousels, or inspiration posts.
It’s still tagged as Beta, but I’m excited about how useful this could be for creators and social media managers. Would love feedback on this direction or ideas for presets you’d want to see 🙌
Hi PH people! ✌️
One feature I’m especially excited about and that have been released just now is Content Analytics.
A lot of creators struggle before they even hit record — choosing the right angle, title, structure, and knowing what viewers actually want. Most tools only tell you how a video performed after it’s published. Content Analytics flips that.
You enter a topic (e.g. “Tokyo travel vlog”), and it analyzes the top videos around that topic using public YouTube data — titles, descriptions, transcripts, and comments — to answer practical questions like:
What kind of titles and hooks are actually working?
How are winning videos structured?
What questions and frustrations keep showing up in comments?
What’s overdone, and where are the gaps you can stand out?
The goal is to give creators a clear playbook before they film — not more charts, but real guidance on what to make and how to make it better.
Would love feedback from creators on what insights matter most when planning a new video 🙌
Hi PH people! ✌️
One feature I’m especially excited about and that have been released just now is Content Analytics.
A lot of creators struggle before they even hit record — choosing the right angle, title, structure, and knowing what viewers actually want. Most tools only tell you how a video performed after it’s published. Content Analytics flips that.
You enter a topic (e.g. “Tokyo travel vlog”), and it analyzes the top videos around that topic using public YouTube data — titles, descriptions, transcripts, and comments — to answer practical questions like:
What kind of titles and hooks are actually working?
How are winning videos structured?
What questions and frustrations keep showing up in comments?
What’s overdone, and where are the gaps you can stand out?
The goal is to give creators a clear playbook before they film — not more charts, but real guidance on what to make and how to make it better.
Would love feedback from creators on what insights matter most when planning a new video 🙌
One new feature I’m excited to introduce is Creator Q&A — a simple, reliable Q&A chatbot built on purpose without large language models. Instead of guessing or improvising answers, it only responds using questions and answers you’ve explicitly written and approved. When it doesn’t know something, it says so and collects those unanswered questions for you to review later. The goal is trust, consistency, and control — not cleverness.
While it started as a tool for creators to answer their audience’s most common questions, it turns out to be just as useful for job seekers, freelancers, consultants, educators, and teams who find themselves repeating the same explanations again and again. In 2026, when AI can say almost anything, having a chatbot that only says what you mean is surprisingly powerful. This is less about replacing humans and more about scaling your knowledge safely, without hallucinations or brand risk.