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TaoBot Attendance
TaoBot is a Zoom-native meeting readiness assistant.
TaoBot is a Zoom-native meeting readiness assistant that shows who is expected, who is here, who is still waiting, and who needs a private Slack reminder or Zoom update. The job is simple: less roll call, less spreadsheet cleanup, less “where is everyone?” chaos. More getting the meeting moving.
In 2023, I left Goldman Sachs and joined Boomerang, a much smaller company.
One thing I didn’t expect, but quickly came to appreciate, was how much visibility I’d get across the whole business.
In a smaller team, you don’t just see your own work. You see product, marketing, ops, hiring, customer issues, and everything in between.
A lot of that showed up in one place: the daily standup.
It became one of my favorite parts of the day.
But it also exposed a small, recurring problem.
With 15–20 people on a call, answering a simple question — “who’s missing?” — was not always simple.
People scan the Zoom list. Someone calls out a name. Someone double-checks. Someone joined from a phone. Someone has a different display name.
And just like that, 3–5 minutes are gone.
Not a huge deal once.
But every day, across months and years, it adds up.
At some point, I started noticing patterns.
For example, we had two people whose names started with A — Alex and Amanda. Two with B — Ben and Brendan. Two with C — Cody and Craig.
In my head, that became “2abc.”
A tiny mental shortcut for who should be there.
Once I saw it, I couldn’t unsee it.
For more than two years, I would quickly scan the standup list and call out who was missing.
Nothing formal. Just a small habit.
But it saved the team a few minutes almost every day.
As the team changed, the shortcut became harder to maintain. New people joined. Names changed. The patterns shifted. What used to be easy to track in my head became less reliable.
Around the same time, something else changed:
With AI, turning a small practical idea into working software is no longer a huge lift.
So I built it.
TaoBot Attendance — a Zoom-native meeting assistant that helps you see who was expected, who is present, and who may need attention.
No scanning. No guessing. No awkward roll call.
It comes with free monthly credits, so teams can try it without much setup.
I’d genuinely love feedback from people who run recurring meetings:
- Does this solve a real problem for you?
- What would make it more useful?
I’ll put the link in the comments.
Curious how many teams are quietly spending those same 3–5 minutes every day.
About TaoBot Attendance on Product Hunt
“TaoBot is a Zoom-native meeting readiness assistant.”
TaoBot Attendance was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #158 on the daily leaderboard. TaoBot is a Zoom-native meeting readiness assistant that shows who is expected, who is here, who is still waiting, and who needs a private Slack reminder or Zoom update. The job is simple: less roll call, less spreadsheet cleanup, less “where is everyone?” chaos. More getting the meeting moving.
On the analytics side, TaoBot Attendance competes within Productivity and Meetings — topics that collectively have 662.1k followers on Product Hunt. The dashboard above tracks how TaoBot Attendance performed against the three products that launched closest to it on the same day.
Who hunted TaoBot Attendance?
TaoBot Attendance was hunted by Tao Zhang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TaoBot Attendance including community comment highlights and product details, visit the product overview.
Tao Zhang