Emma ✓
@emmaxeth · joined 05 Dec 2019
Crypto Trader, Airdrop, KOL and Content Creator
10 507Followers
2 831Following
10 251Posts total
165.6KViews on collected posts
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We solved the hard part: collecting health data.
Now we have a new problem.
We have no idea what to do with all of it.
That’s where @sleepagotchi gets interesting.
Instead of turning wellness into another spreadsheet of numbers, it can turn those signals into something https:
449 views · 156 likes
· 0 reposts · 178 replies
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Most wellness apps are really good at telling you what is happening.
Your sleep score changed.
Your recovery was lower.
Your habits improved.
Your data says you should do something differently.
But there is still a gap between knowing and doing.
That’s the part I find https://t
650 views · 180 likes
· 0 reposts · 213 replies
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Been thinking about @sleepagotchi after my alarm this morning.
The biggest gap in wellness apps was never information. We already have enough data.
The real question is: can an AI coach turn that data into an action I actually follow?
A better bedtime routine. A smarter https:
621 views · 181 likes
· 0 reposts · 214 replies
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@emmaxeth @sleepagotchi The real test is whether the agent actually remembers and learns from the history not just showing a score. That’s where trust gets built
5 views · 1 likes
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@emmaxeth @sleepagotchi the real test is whether it actually remembers ur history
34 views · 4 likes
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@emmaxeth @sleepagotchi tbh i trust it more when it actually uses my past data rn
38 views · 5 likes
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There's a quiet test happening inside @sleepagotchi that most aren't talking about.
enterprise agents land on business data. consumer agents land on what you've already lived. nights logged. patterns etched. history that doesn't lie.
but here's the question that kept me up:
if
706 views · 175 likes
· 2 reposts · 201 replies
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@RoboStrategy @endiatx This team is building something huge
1.8K views · 5 likes
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Endiatx - A Short Film
An inside look at @endiatx and the team helping build the future of robotic medicine https://t.co/wq5lZ4vhvn
160K views · 347 likes
· 49 reposts · 28 replies
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6:32
@emmaxeth @sleepagotchi Exactly. Data can tell you that sleep matters, but gamification can give people a reason to actually stick with it. Turning consistency into progress and small wins is what makes Sleepagotchi interesting. 💤🎮
6 views · 1 likes
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@emmaxeth @sleepagotchi love the gamified sleep vibe, can't wait to try
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@emmaxeth @sleepagotchi Gamifying rest is pure alpha fren. How long till you hit your high score
36 views · 1 likes
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The biggest problem in wellness isn’t information.
We already know sleep matters.
The real challenge is turning that knowledge into a habit.
That’s why @Sleepagotchi is interesting.
It doesn’t just ask you to measure your sleep.
It gives the habit a world to grow inside. htt
1.2K views · 190 likes
· 1 reposts · 218 replies
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Frente a cuentas del mismo tamaño
13 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. alcance normal para su tamaño, reacción más fuerte que la mayoría.
Visualizaciones medianas449esta cuenta924mediana de 10K–100K
Alcance, %4.27%esta cuenta3.62%mediana de 10K–100K
Interacción, %16.67%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 449 | 924 | 0.49× |
| Alcance (visualizaciones ÷ seguidores) | 4.27% | 3.62% | 1.18× |
| Tasa de interacción | 16.67% | 1.52% | 11.0× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
1.2K1 Sep
36
32
6
160K
1.8K
7063 Sep
38
34
5
6214 Sep
6505 Sep
4496 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
34.43%1 Sep
2.78%
3.12%
16.67%
0.28%
0.28%
53.54%3 Sep
13.16%
11.76%
20.00%
63.61%4 Sep
60.46%5 Sep
74.39%6 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes49.1%1 247 in total
Reposts2.0%52 in total
Replies41.4%1 052 in total
Quotes0.8%21 in total
Bookmarks6.5%166 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.
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