Compare audience, activity and posting rules before choosing where to participate.
The examples below explain the workflow and how to read a result. They are illustrative, not a report generated from the input above.
A subreddit comparison puts two communities side by side. It shows members, activity, the self-promo rule, and who posts there. It does not return a user-overlap percentage. Nobody can compute that from public Reddit data. What you get instead is the audience-fit row, which says whether two subs draw the same kind of person. That row, plus a promo rule you can live with, decides more than size does.
The same five signals for both, so the difference shows at a glance.
| r/SaaS | r/startups | |
|---|---|---|
| Members | 210K | 1.9M |
| Posts/day | ~30 | ~80 |
| Self-promo rule | Allowed Saturdays | Weekly thread only |
| Best for | SaaS builders, pricing & growth talk | Founders at any stage, fundraising & hiring |
| Karma needed | None enforced | ~10 comment karma |
The bigger number does not win. Weigh these four things first.
A sub with millions of members but twenty posts a day buries you fast. A smaller, busier community often puts your post in front of more of the right people.
A rule that names a weekly thread or a format is one you can follow. "No spam" with no detail usually means a filter that removes your post quietly.
Two subs on the same broad subject can serve very different people. Read the "best for" row, not just the name.
The bigger sub is useless if you cannot clear its karma or age bar yet. Compare where you can post now, not where you would prefer to.
If the two look close on paper, let the karma gate decide. Post where you clear the bar today, and build toward the stricter one for next time.
r/name vs r/name. The two you are deciding between.
Size, activity, and the self-promo rule, read from each community.
Five signals, lined up, so the difference is obvious.
Member count is the number Reddit shows first. That makes it the easiest one to compare and the easiest one to overrate. These four signals do far more to predict whether a post gets seen and survives.
Member count. How big the audience is, so you can weigh reach.
Posts per day. A live community versus a quiet one.
The self-promo rule for each. Where a link is safe, and where it is not.
Who the community is for, in one line.
Comparing tells you where to focus, not where to post forever. Bavior works whichever community wins, end to end. It reads the rules, finds the buying-intent threads, and drafts native replies. Nothing goes out until you approve it.
Compare the same time window for each community: relevant new discussions, useful replies, audience fit and rules. Record when each observation was made. Use a small comparison table with one row per community. Include a reason to participate and a reason to pass; raw subscriber totals should not decide the result.
Compare the same time window for each community: relevant new discussions, useful replies, audience fit and rules. Record when each observation was made. Use a small comparison table with one row per community. Include a reason to participate and a reason to pass; raw subscriber totals should not decide the result.
Different periods or collection methods can distort a comparison. Keep dates and definitions alongside each figure; this preview supplies no live community statistics.
Compare the finalists on activity and audience fit, not member count. A smaller subreddit full of your exact buyer usually beats a huge general one. A promo rule you can clear matters more than a bigger number.
Open the comparison in Bavior and name both — r/SaaS vs r/startups, for example. The tool lines up members, posts per day, self-promo rules, audience fit, and karma needed.
Not on size alone. Compare relevant recent discussions, participation and promotion rules. A smaller community can be a better fit when its members discuss the problem you solve.
Bavior takes over. It reads that community's rules, finds the buying-intent threads, drafts native replies, and posts on your approval.
Make sense of promotion rules, link policies and posting requirements. What belongs in a useful rules summary?
Explore posting windows around a community’s activity and your time zone. How do I compare possible posting times?
Discover the phrases buyers use, with the context behind their questions. Which phrases suggest someone is choosing a product?