Post Angle Generator
Once you know which content days performed best, use this to generate more posts in the same style.
Use the generator →No accounts, no server, no tracking. Upload your X analytics CSV export and the tool parses it entirely in your browser. Get impressions, engagements, and follower KPIs, plus an SVG trend chart you can use to study Twitter follower growth across metrics and time windows.
Upload your account_overview_analytics.csv file from X and inspect performance locally. If you are comparing Twitter growth tools or trying to understand follower growth patterns before acting on them, this pairs naturally with ReplyWisely.
Everything stays in your browser. No upload, no backend, no tracking. For the execution side of X growth, try ReplyWisely.
account_overview_analytics.csv.Your CSV never leaves your browser. The tool reads it using the FileReader API and processes everything in memory. Nothing is sent to any server. If you close the page, the data is gone. Sample data loads automatically so you can see the chart before uploading your own file.
Once you know which content days performed best, use this to generate more posts in the same style.
Use the generator →Turn the analytics you learn here into better day-to-day reply targeting on X.
View ReplyWisely →On desktop, go to analytics.x.com, sign in, open the Overview tab, pick the date range you want, and click Export data. X returns a file called account_overview_analytics.csv. That's the exact file this tool reads, upload it here and everything parses in your browser with no server involved.
Ignore the vanity metrics. Start with impressions (reach), then engagement rate (impressions divided by engagements), then profile visits, then follows. Read them in that order: reach tells you if people are seeing you, engagement tells you if they care, visits and follows tell you if they want more. Everything else is noise until those four line up.
Four: impressions per week, engagement rate, profile visits per week, and net follower growth per week. Log them every Sunday. The chart above lets you compare any of them across 7-day, 1-month, 3-month, and all-time windows so you can tell whether a spike was a viral post or a real shift in baseline.
Usually one of three reasons: a single viral post inflated impressions without matching engagement, the algorithm is pushing you to a wider audience that cares less about your niche, or your recent posts leaned into reach-optimized hooks instead of resonant ones. Compare your top-performing days in this tool to find the posts that actually converted impressions into engagement.
Yes. Nothing leaves your browser. The CSV is parsed client-side in JavaScript, there's no backend, no server upload, no tracking of the file contents. You can open devtools and confirm no network requests carry your data. Close the tab and the file is gone.
Analytics show which posts drive profile visits. The gap between visit and follow is almost always bio or reply presence. Fix the bio first, then work the replies. ReplyWisely helps you stay visible in the right conversations every day, so when your posts send profile visitors, more of them follow.