What to Post on YouTube: Finding Content Ideas That Actually Get Views

The honest answer to "what should I post on YouTube?" is not a list of 150 trending formats. It is three sentences long: stop guessing, start reading your comments, and let your audience hand you the next 30 videos. Every creator who has ever stared at a blank upload screen at midnight knows the feeling, you are not out of ideas. You are out of validated ideas. The difference matters. A guess costs you 15 hours of filming and editing. A validated idea, one your audience literally typed into a comment box, costs the same 15 hours but has a built-in reason for someone to click.

This guide is not another listicle. It is a system for finding YouTube content ideas from data you already have: your comment section, your competitors' comment sections, your analytics, and search behavior. No crystal ball. No "viral ideas generator." Just signals that are sitting in plain sight, and a framework for turning them into a content calendar you actually believe in.

Why Most Creators Guess Instead of Research

The r/NewTubers subreddit reads like a support group for people who are one bad upload away from quitting. And the posts that get the most upvotes are not technical questions about bitrate or lighting. They are existential.

"I think on quitting YouTube. I am bad at creating videos it seems. I have 25 videos. Long form." : r/NewTubers, 45 upvotes, 181 comments

Read the 181 comments on that thread. Almost none of them say "your lighting is bad." They say "your topics don't match what people are searching for" and "you're making videos for yourself, not for an audience." The creator is not bad at YouTube. The creator is guessing what to post on YouTube, and the guesses are not landing.

This pattern repeats across the subreddit:

"I keep letting my channel fail and I hate it. I have over 100K subscribers, but I just cannot make videos." — r/youtubers, 77 upvotes

A channel with 100,000 subscribers, an audience most creators would kill for and the creator is paralyzed. Not by a lack of skill. By a lack of direction. When you do not know what to upload on YouTube, the blank content calendar becomes a weight. Every week without an upload feels like a small failure. The burnout is not from making videos. It is from not knowing which videos to make.

"Why are you currently NOT making Let's Play content?" : r/letsplay, 34 upvotes, 96 comments

Ninety-six comments on a thread about why people stop making content. The answers are remarkably consistent: "I ran out of ideas," "every video felt the same," "I didn't know what my audience actually wanted." Let's Play is the most format-locked niche on YouTube, and even there, the creators who quit are not quitting because of the format. They are quitting because they never built a pipeline for figuring out what their specific audience wanted next.

There is a frustration layer on top of the burnout, and it comes from watching other channels succeed with content that looks objectively worse:

"If everyone hates AI, why do videos with obvious AI-generated clickbait thumbnails get more views?" — r/NewTubers, 114 upvotes

The implied question is not really about AI thumbnails. It is: "I don't understand what works, and the things that seem to work feel wrong." That frustration is a symptom of guessing. When you have no system for choosing topics, every upload is a coin flip, and watching someone else's coin land on heads feels like evidence that the game is rigged. It is not rigged. They just have a signal you are not using.

One Reddit user who attended VidCon put the insight better than most growth gurus:

"I went to VidCon and realized the algorithm is the reaction, not the starting point." — r/NewTubers, 111 upvotes

The algorithm reacts to what audiences do. It does not decide what audiences want. If you want to know what to post on YouTube, do not study the algorithm. Study the audience. The algorithm will follow.

And format matters more than most creators realize:

"Your videos are either too short or too long." — r/NewTubers, 76 upvotes

This is not a complaint about runtime. It is a complaint about mismatch, the format does not fit the topic. A 4-minute overview of a subject that deserves a 20-minute deep dive leaves the audience unsatisfied. A 25-minute tutorial for a question that needs 90 seconds wastes everyone's time. Choosing what to post is not just choosing a topic. It is choosing the right format for that topic and that audience segment.

The common thread across all of these posts: these creators are not untalented. They are operating without a feedback loop. They pick topics by intuition, film, edit, upload, and hope. When hope fails, they blame themselves. The fix is not more talent. It is more listening.

5 Data-Driven Ways to Find What to Post on YouTube

Forget brainstorming in a vacuum. These five sources produce real YouTube content ideas with built-in demand signals. Ranked from highest to lowest signal quality.

1. Your own comment section (highest signal)

Your existing viewers are literally telling you what they want. Every question in your comments is a content brief. Every "can you make a video about X?" is a validated idea with a named requester. The problem is volume: once you pass a few hundred comments, reading them all becomes a part-time job. Most creators read the first 10-15 comments on a video and stop. The gold is in comment 47, where someone asks the question that 200 other viewers thought but did not type.

2. Your competitors' comment sections (highest untapped signal)

If your channel is too small to mine its own comments, mine someone else's. Pick 3-5 channels in your niche with similar or slightly larger audiences. Read the comments on their last 15 uploads. Look for questions they never answered, requests they ignored, and complaints about what they did not cover. Their audience's unmet demand is your content backlog. We wrote a full methodology for this in our guide on finding YouTube content gaps, the short version is that competitor comments reveal gaps no keyword tool can surface.

3. YouTube search suggestions and the Research tab

Type your niche's core keyword into YouTube's search bar and read the autocomplete suggestions. Those are real queries from real users, ranked by volume. YouTube Studio's Research tab goes further: it shows search volume, competition level, and, critically, a "Content Gaps only" filter that surfaces queries where YouTube has few good matching results. This is free, native, and most creators never open it.

4. Your analytics (retention curves and traffic sources)

YouTube Studio's analytics tell you what already worked. Sort your uploads by average view duration. The videos people watch to the end are the topics and formats your audience values most. Now look at traffic sources: if a video pulls heavily from YouTube Search, the topic has durable search demand. If it pulls from Browse, the topic resonates with your subscriber base. Both are signals for what to post next. The difference is that search-driven topics compound over months, while Browse-driven topics serve your existing audience. You need both. For a deeper framework on turning analytics into a repeatable idea pipeline, see our guide on finding YouTube video ideas.

5. Trend data (lowest signal, use sparingly)

Trending topics, Google Trends, and "what's hot" feeds tell you what is popular right now. The problem: by the time a trend is visible, hundreds of creators are already filming. Trend-chasing works for news channels and reaction formats. For everyone else, it produces a library of videos that spike and die within weeks. We broke down the math on why viral chasing costs more than it earns in our analysis of viral YouTube video ideas. The short version: a 100K-view evergreen tutorial in a high-RPM niche often out-earns a 1M-view viral hit. Use trends as seasoning, not as the meal.

How to Mine Your Comments for Content Ideas

Comments are the single richest source of YouTube content ideas, and most creators waste them. Here is a practical workflow.

Step 1: Collect. Pull the last 60-90 days of comments from your channel. If you have fewer than 50 comments total, extend the window or skip to competitor comments (next section).

Step 2: Classify by intent. Not every comment is a content idea. Sort them into four buckets:

• Questions: "How do you...?", "What's the best way to...?", "Can you explain...?" These are direct content briefs. A question with the word "how" in it is almost always a video.
• Requests: "You should make a video about...", "Please cover...", "When is the part 2?" These are explicit demand signals. The viewer did the ideation work for you.
• Complaints: "This didn't work for me because...", "You skipped the part about...", "This is too basic." Complaints reveal depth gaps and angle gaps. They tell you what to cover more thoroughly or from a different perspective.
• Hypotheses: "I tried X and it worked better than Y", "In my experience...", "Has anyone tested...?" These are collaboration seeds. A viewer's hypothesis is a video where you test, confirm, or debunk their claim.

Step 3: Cluster. Group similar questions and requests. If five people asked variations of "how do I monetize a small channel?" that is one cluster, one video. If twenty people asked, that cluster might deserve a series.

Step 4: Score and schedule. For each cluster, estimate: (a) how many viewers asked, (b) whether the topic is evergreen or time-sensitive, (c) how much production effort it requires. High-frequency evergreen topics with low production cost go first. They are your quick wins.

This is the workflow that OneTube's Comment Analysis automates. The pipeline classifies every comment by intent and the "questions" intent category is the one to watch, because those are your audience's direct requests for what to post next. The Pulse Report that follows surfaces the top 10 content ideas drawn from verbatim audience language. Not AI-generated titles. Not keyword-stuffed suggestions. The actual sentences your viewers typed, ranked by frequency and intent strength. You read the list, pick the ones that fit your channel, and film.

The topic cluster view adds a layer on top: your channel's content gets mapped into anchor topics (your core pillars), emerging topics (rising demand you have not fully covered), declining topics (fading interest you should deprioritize), and content gap topics (questions your audience asks that you have not addressed). That four-part map answers "what should I post on YouTube?" with a prioritized backlog instead of a blank screen.

OneTube does not invent topics for you. It surfaces the questions your viewers already typed and organizes them into a backlog. The creative judgment, which ideas to film and how to frame them, stays with you.

What Your Competitors' Audiences Want (and They Are Not Getting)

If your channel has 200 subscribers, your own comment section is thin. That is fine. Your competitors' comment sections are not.

The workflow is the same as above, but pointed outward. Pick 3-5 public channels in your niche. Not aspirational 10M-sub channels. Pick channels your audience actually watches as alternatives. Pull their recent comments. Classify, cluster, score. The questions their viewers ask that they never answer are your offensive content backlog.

This is what OneTube's Spy Mode was built to streamline. You add a competitor channel to your workspace, and the same comment analysis pipeline runs against their uploads. The output includes a dedicated content gap block: themes their audience keeps asking about that the channel has not covered. The phrasing is verbatim — "why does nobody explain X for beginners?", "I wish someone would compare Y and Z honestly", ranked by how often the question appears and how strongly viewers feel about it.

The strategic value is asymmetry. Your competitor's audience is already interested in your niche. They are already watching videos about your topics. They are asking questions that go unanswered. You do not need to create demand. You need to supply an answer that the channel they are already watching did not provide.

One caution: do not clone their videos. The point is not to make the same content with a different thumbnail. The point is to make the content they didn't make, the video their audience begged for in the comments and never got. That is the gap. Fill it.

The Content Ideas Framework: Format × Topic × Audience

Knowing what topic to cover is half the job. The other half is matching it to the right format and the right audience segment. This is where the "your videos are either too short or too long" complaint comes from, a mismatch between format and topic.

Use this table as a planning grid. For every validated topic from your comment mining, choose a format and an audience segment before you write a single word of script.

The grid forces a decision that most creators skip. "I'll make a video about monetization" is not a content plan. "I'll make a 12-minute tutorial on monetization for channels under 1,000 subscribers, covering the three methods that actually work at that size" is a content plan. The topic came from your comments. The format and segment came from the grid. The script writes itself because the constraints are set.

Rotate formats across your content calendar. Four tutorials in a row fatigue your audience and your production pipeline. Alternate: tutorial, story, comparison, quick tip. The variety keeps your channel feeling alive and gives you different data points to learn from.

What NOT to Post on YouTube

Knowing what to avoid saves as much time as knowing what to make.

Do not post topics you cannot sustain. A one-off video on a trending topic outside your niche might get views, but it pollutes your channel's topical signal. YouTube's recommendation system learns who your audience is from what they watch on your channel. One off-niche hit trains the algorithm to show your next video to the wrong people. The views spike. Then the next five videos underperform. You spend months recovering.

Do not post the same format ten times in a row. If every video is a 20-minute talking-head tutorial, your audience fatigues and your retention curves flatten. The grid above exists for a reason. Vary the format even when the topic is consistent.

Do not post into a dead topic cluster. If your analytics show a topic's views declining month over month, and your comment clusters show no new questions about it, let it go. Sunk cost is not a content strategy. The declining topic cluster in your analytics is permission to stop making those videos.

Do not post what an AI generator spits out without validation. AI title generators produce generic topics that thousands of other creators are also generating. The result is a sea of identical videos competing for the same search query, differentiated only by thumbnail and channel authority. You will lose that competition to channels with 10x your subscriber count. Your edge is not a better prompt. Your edge is your audience's specific, verbatim, unmet question. No generator has that. Only your comment section does.

Do not post without a format decision. "I'll figure out the length in editing" is how you end up with a 22-minute video that should have been a Short, or a 90-second clip that needed 15 minutes to do the topic justice. Decide the format before you script. The grid helps.

FAQ

What should I post on YouTube as a beginner with no audience?

Mine your competitors' comment sections. You do not need your own audience to find validated YouTube content ideas. Pick 3-5 channels in your niche, read the questions their viewers ask, and make the videos those channels never made. Your first 10 videos should answer the 10 most frequently asked questions you find. That is a stronger starting strategy than any trending-topics list.

How often should I upload?

Consistency beats frequency. One well-researched video per week outperforms three rushed uploads. The bottleneck for most creators is not editing speed. It is knowing what to make. If you have a validated backlog from your comment mining, the "what to upload on YouTube" question stops being a weekly crisis and becomes a queue you work through.

How do I know if a content idea will get views?

You cannot guarantee views. You can improve the odds by checking three things before filming: (1) Did multiple people ask for this in comments? Demand signal. (2) Is there search volume for the topic? Durability signal. (3) Have competitors covered it well? If yes, you need a distinct angle. If no, the gap is your opening. Three yeses is a strong bet. One yes is a risk. Zero yeses is a guess.

What are the best YouTube content ideas for small channels?

The best content ideas for small channels are narrow, specific, and search-driven. "How to edit YouTube videos" is too broad, you are competing with channels that have 500K subscribers. "How to edit YouTube videos on a Chromebook with free software" is narrow enough to rank and specific enough to serve an underserved segment. Your comment mining will surface these narrow questions naturally, because real viewers ask specific questions, not broad ones.

Is it worth paying for a tool to find content ideas?

If you have fewer than 50 comments on your channel, the manual competitor-comment workflow costs nothing but time. If you are managing multiple channels, tracking competitors, or need to process thousands of comments, a tool pays for itself in hours saved. OneTube's Creator plan ($19/mo) includes comment analysis and the Pulse Report with your top 10 audience-sourced content ideas. The Pro plan ($49/mo) adds Spy Mode for competitor analysis and the full topic cluster map. Both come with a 7-day free trial. No credit card required, so you can run a full analysis before committing.

How do I stop feeling stuck and actually start posting again?

Open your last five videos. Read every comment. Write down every question. You now have a list. Pick the question that appears most often. Film the answer this week. The paralysis comes from having infinite options and no signal to choose between them. Your comment section removes the infinite. It hands you a shortlist. The only decision left is which one to film first.

OneTube analyzes your channel's comments and your competitors' audiences to surface the content ideas your viewers are already asking for. No magic generator, just your audience's own words, organized into a backlog you can actually film. Start your 7-day free trial and build your next 30 videos from data, not guesses.