Tracy Lee | ladyleet ✓

@ladyleet · tracy@thisdot.co · joined 20 Nov 2008

CEO @thisdotlabs helping teams with AI enablement. Investor @roocode @builderio @nxdevtools, 7x MSFT MVP Award, 9x Google Developer Expert, 3x Github 🌟

44 181Followers

12 585Following

104 029Posts total

5KViews on collected posts

Latest posts

Tracy Lee | ladyleet ✓@ladyleet18 Sep

I keep thinking about this part of the conversation. We have moved so much work to the cloud, but development still often depends on being at a laptop. @BrandonMathis and @GroundControl talk about what changes when agents and development environments can keep working https://t.

0:57

817 views · 3 likes · 1 reposts · 1 replies Open on X →

Tracy Lee | ladyleet ✓@ladyleet17 Sep

I'm live for the State of #AI right now on YouTube! https://t.co/fDyn0bt1HV 1.4K views · 0 likes · 0 reposts · 0 replies Open on X →

Tracy Lee | ladyleet ✓@ladyleet17 Sep

@ladyleet @ccheever @expo @mazenchami @GantLaborde @infinite_red @BrandonMathis @ThisDotLabs @okthinkai @maestro__dev A question for the panel: how are teams deciding which flows need end-to-end tests on real devices before a release? Login, payments and interrupted sessions woul 58 views · 1 likes · 0 reposts · 0 replies Open on X →

Tracy Lee | ladyleet ✓@ladyleet17 Sep

State of React Native is live Sept 30 at 12:30 PM ET. Featuring @ccheever of @expo, @mazenchami and @GantLaborde of @infinite_red, @BrandonMathis of @ThisDotLabs, Rafael Mendiola of @okthinkai, and Jacob Krupski of @maestro__dev. RSVP: https://t.co/Vu8SY5uG80 https://t.co/rUbAm

1.2K views · 7 likes · 2 reposts · 1 replies Open on X →

Tracy Lee | ladyleet ✓@ladyleet17 Sep

A control plane should strengthen the way teams already build software. In Part 3 of our Agent Control Plane series, @jonfontanez looks at practical integration: connecting agents to existing tools, engineering standards, and delivery workflows so the system scales with the http

2:02

761 views · 1 likes · 0 reposts · 0 replies Open on X →

Tracy Lee | ladyleet ✓@ladyleet16 Sep

An agent completing a task is not the same as an agent producing a trustworthy result. Part 2 of our Agent Control Plane series is about evidence at every handoff: validation, observability, and knowing what to check before work moves forward. #AIWorkflows #AIGovernance https:/

2:58

701 views · 3 likes · 0 reposts · 2 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views789this account924median for 10K–100K

Reach, %1.79%this account3.62%median for 10K–100K

Engagement, %0.66%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	789	924	0.85×
Reach (views ÷ followers)	1.79%	3.62%	0.49×
Engagement rate	0.66%	1.52%	0.44×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

70116 Sep

76117 Sep

1.2K

1.4K

81718 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.71%16 Sep

0.13%17 Sep

0.82%

1.72%

0.00%

0.61%18 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes65.2%15 in total

Reposts13.0%3 in total

Replies17.4%4 in total

Bookmarks4.3%1 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts