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Ethan Pierce ✓

@EthanPierce_ai · San Francisco, CA · joined 02 May 2022

AI engineer & builder. Breaking down models, tools, and code for real-world workflows. Devlogs & fast insights for busy developers.

93 163Followers
23 401Following
486 998Posts total
881.8KViews on collected posts

Ultimi post

I think I like AI glasses more when there’s less “smart glasses” stuff going on. No screen in your face. No camera pointing at everyone around you. Just glasses you’d actually wear, with the AI mostly in the background. The memory part of VONDER is what I find more interesting 63.7K views · 35 likes · 0 reposts · 0 replies Open on X →
A clean mesh in a single frame is not the hardest part. The real challenge is preserving body structure through continuous motion—especially when an ego camera cannot see large parts of the body during bending, squatting, or turning. That’s what makes this result from 68.3K views · 64 likes · 22 reposts · 11 replies Open on X →
Most health questions don’t really make sense as one-off prompts. So much of the answer depends on what came before. That’s why this direction from Theta makes sense to me — pulling the history, wearable data, and day-to-day stuff into the same context instead of starting from 63K views · 3 likes · 11 reposts · 0 replies Open on X →
Bending. Squatting. Moving. DFM reconstructs continuous whole-body meshes from Ego video, even with partial occlusion. ~3 cm mean whole-body error. See the Whole Body. Learn the Whole Skill. #GenRobot#WholeBodyData#ego data #PhysicalAI #Robotics https://t.co/HlZvWTiJHn
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3.2K views · 11 likes · 3 reposts · 3 replies Open on X →
Every health question has a backstory. Theta brings your medical records, wearable data and daily logs together, helping you spot patterns and get AI answers informed by your health history. Get started: https://t.co/az8wS7DMAI https://t.co/pSoi71DILi
Theta logo beside the headline “AI that starts with your health history.” Supporting text: “Records. Wearables. Everyday life.” An example Theta Timeline screen shows daily activity, heart and sleep metrics, with a field for health logging. thetahealth.ai.
10K views · 52 likes · 0 reposts · 51 replies Open on X →
Been playing around with Teamily and gave it something I’d actually been thinking about: an AI tool that gives coding agents persistent memory across sessions. Asked it to research the space, tell me why the idea might be bad, figure out what an MVP should look like, and come up
64.1K views · 4 likes · 0 reposts · 3 replies Open on X →
@lagattke 👋 👌🏻 @Boban_token together 💪 20 views · 1 likes · 0 reposts · 0 replies Open on X →
@lagattke True We must struggle 274 views · 3 likes · 0 reposts · 0 replies Open on X →
@lagattke All of you do activities together 🙏🏻🌹🙏🏻 21 views · 1 likes · 0 reposts · 0 replies Open on X →
Polite reminder https://t.co/3a6JbyY1HI
609.2K views · 548 likes · 216 reposts · 67 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane63 388questo account1 020mediana per 10K–100K
Copertura, %68.04%questo account4.00%mediana per 10K–100K
Interazione, %0.10%questo account1.55%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post63 3881 02062.1×
Copertura (visualizzazioni ÷ follower)68.04%4.00%17.0×
Tasso di interazione0.10%1.55%0.06×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

609.2K23 Jul
2124 Jul
27417 Aug
2022 Aug
64.1K16 Sep
10K
3.2K
63K17 Sep
68.3K18 Sep
63.7K22 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%23 Jul
4.76%24 Jul
1.09%17 Aug
5.00%22 Aug
0.01%16 Sep
1.07%
0.65%
0.02%17 Sep
0.14%18 Sep
0.05%22 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes58.0%722 in total
Reposts20.2%252 in total
Replies10.8%135 in total
Quotes1.1%14 in total
Bookmarks9.8%122 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.

Account simili