Stop Guessing When to Post.
We Tell You Exactly When YOUR Audience Is Listening.
OpenTweet analyzes your real published tweets — weighted by likes, retweets, replies, bookmarks, and impressions — to produce a personal 7×24 heatmap of your best posting windows.
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How It Works
Three steps. Real data. Personal recommendations.
Connect Your X Account
Authorize OpenTweet to read your own tweets and metrics. We use the discounted owned-read X API — cheap and private.
Run an Analysis
We pull your last ~100 original tweets with engagement metrics, weight them by likes/retweets/replies/bookmarks/impressions, and bin by day-of-week × hour.
Use Your Personal Heatmap
Top 5 windows, AI insights, and a full 7×24 grid. Apply your best times to the scheduler, Evergreen Queue, or AI Studio with one click.
Why Personal Beats Generic
Other tools show industry averages. We show YOUR audience — built from YOUR tweets, weighted by YOUR engagement.
Personal, Not Generic
Built from YOUR tweets and YOUR engagement — not industry averages from accounts that look nothing like yours.
Engagement-Weighted
We weight likes, retweets, replies, bookmarks, and impressions — not just frequency. Quality, not volume.
AI Insights
3–5 plain-English takeaways from your data ("Your Thursday 9am posts get 2.3× more engagement than your average").
7×24 Heatmap
Visual day-of-week × hour grid. See your patterns at a glance with confidence indicators for low-sample slots.
One-Click Apply
Schedule your next post at peak. Use your best windows for Evergreen Queue rotation. Inject into AI Studio context.
Stays Fresh
Audiences shift. Re-analyze whenever you want — your profile updates with the latest engagement signals.
Best Time to Post Features
Frequently Asked Questions
How is this different from generic "best time to post" tools?
Generic tools show industry averages. OpenTweet analyzes YOUR actual tweets weighted by YOUR real engagement metrics — likes, retweets, replies, bookmarks, and impressions. The result is a personal heatmap that reflects when your specific audience is listening.
How many tweets do I need before I can analyze?
We recommend at least 10 published original tweets to get meaningful results. The more tweets we have to analyze (up to 100 at a time), the more confident the recommendations.
How often does the analysis refresh?
Profiles cache for stability. You can manually re-analyze once per 24 hours, and we suggest a fresh analysis every 14 days as your audience and posting habits evolve.
Does this work with multiple X accounts?
Yes. Each connected X account gets its own best-time profile. Switch between accounts in the dashboard or via the x_account_id parameter on the API and MCP tools.
Is it integrated with the rest of OpenTweet?
Yes — your best times automatically inform AI Studio when generating posts, can be used to populate the Evergreen Queue posting schedule, and are exposed via the V1 API and MCP tool so AI assistants can answer "when should I post?" using YOUR data.
What about timezones?
All times are computed in your local timezone. We snapshot it at analysis time so the heatmap stays consistent even if you travel.
Stop Posting on Vibes.
Start Posting on Data.
Connect your X account. Run an analysis. Discover when YOUR audience actually listens.