The Scenario
Your engineering director sent a message at 9 PM on a Tuesday: she wants to know whether the backend team codes more in the morning or afternoon, and which days of the week see the most hours. She is redesigning the meeting schedule and wants to protect peak coding time with meeting-free blocks.
You manage developer operations. You have access to WakaTime. You also have six other things open and no idea how to extract hourly and daily productivity distributions from an API you have used exactly twice.
The bad version:
- You log into WakaTime, navigate to the insights section, and find that the dashboard shows a chart — not a table you can copy into Excel.
- You take a screenshot of the chart, paste it into the Slack thread, and realize the director asked for the data in a workbook so she can filter it herself.
- You spend 45 minutes trying to find the right WakaTime API endpoint for insights, read the docs, give up, and tell her you will have it by morning.
It is now morning. You still do not have it.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you are looking at, and through its built-in WakaTime integration it pulls developer insights directly — no API docs, no chart screenshots.
Open a new workbook and paste this:
Pull my WakaTime coding insights for the range in A1:A2 and populate this Excel table with insight category in column A and value in column B — covering best day, peak hour, average daily hours, and longest streak
What You Get
- A two-column summary table with insight category in column A and value in column B.
- Rows covering best day of the week, peak coding hour, average daily hours, and longest streak.
- Data pulled from the date range you specified in cells A1 and A2.
- Formatted as a flat table that Excel can pivot or filter without reformatting.
What If the Data Is Not Quite Ready
You want a day-of-week breakdown instead of a flat summary
The director wants to see each day of the week separately:
Fetch WakaTime insights for my account for the last 90 days and fill this workbook with: Day of Week, Average Hours, Peak Hour Range, Top Project — one row per day of the week, sorted Monday through Sunday.
You want an hourly breakdown across the full day
The director wants to see every hour of the day, not just peak range:
Fetch WakaTime insights for the last 90 days. Build a table with Hour of Day (0 through 23) in column A and Average Hours Coded in column B — so she can see the full daily distribution curve.
You want to compare two different time windows
You want to compare the last 90 days against the 90 days before that:
Fetch WakaTime insights for the last 90 days. Put Day of Week in column A, Average Hours in column B, Peak Hour in column C. Then fetch insights for the 90 days before that window and put Average Hours in column D and Peak Hour in column E — same day order so rows align.
Full productivity pattern report with meeting-block recommendations in one pass
Fetch WakaTime insights for the last 90 days. Build a table with Day of Week, Average Hours, Peak Hour Range, Top Project. Add a Meeting Safety column: "Protect" if Average Hours is above 5, "Flexible" if between 2 and 5, "Low Activity" if under 2. Sort by Average Hours descending. Fill this workbook starting at row 2 with Day of Week, Average Hours, Peak Hour Range, Top Project, Meeting Safety.
The director gets a table she can filter and a recommendation column she can share with the leadership team.
Try It
Get the 7-day free trial of SheetXAI and open a new worksheet in your engineering ops workbook — ask it to pull WakaTime productivity insights for the last 90 days, flag the high-activity days for meeting protection, and have the table ready before the next schedule review. See also how to bulk import sprint summaries from WakaTime in Excel, or return to the WakaTime integration overview.