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NASMA ELLIS ✓

@nasmaemad94 · California, USA · joined 04 Oct 2021

🌐 AI lover | Interested in tech,Web3 👀 innovation, and meaningful digital ideas and learning HIGGS-6KKRE Contact me ✉️: partnership1573@gmail.com

87 367Followers
76 162Following
96 679Posts total
140.6KViews on collected posts

Derniers posts

There’s something refreshing about a lab publishing the weird parts of training too. IFM’s documentation of reward-hacking behavior makes K2 Horizon interesting not only as a model release, but as a research artifact. 15.1K views · 108 likes · 93 reposts · 10 replies Open on X →
There is something beautiful about the fact that the universe produced beings capable of looking back at it. We are made from the same matter as the stars, yet somehow we learned to dream, question, imagine, and create. Perhaps creation is the universe experiencing its own 14.6K views · 117 likes · 99 reposts · 16 replies Open on X →
The TTS space is moving quickly. Every new release raises the bar for things like latency, control and expressive speech. Inworld TTS-2 hitting GA—and landing back on top of the Artificial Analysis Arena leaderboard—makes this another release worth watching. 25.7K views · 114 likes · 103 reposts · 19 replies Open on X →
CubeSandbox is more than a sandbox—it’s a scalable execution layer designed to give AI agents the freedom to run, recover, and grow securely. 17.8K views · 134 likes · 122 reposts · 13 replies Open on X →
🔥 Upgrade Your Space with Smart Electric Fireplace Technology 🔥 ✨ Ultra-realistic flame effect 💡 Energy-saving explosion-proof LED lighting 💧 Intelligent auto water filling & one-click drainage 🌡️ Constant-temperature & anti-dry-burn protection 🎙️ Voice broadcast system 🎛️ https 21.7K views · 164 likes · 164 reposts · 5 replies Open on X →
Most agent teams I know still improve their systems the same way: read traces, find a failure, edit the prompt, deploy, repeat. Reflexio is basically asking: what if the agent improvement loop itself could be infrastructure? 17.1K views · 128 likes · 114 reposts · 11 replies Open on X →
Back-to-School content doesn’t have to be complicated or costly. With @VmakeLabs , you can pick a ready-made template, add your product, and quickly create polished social videos that look professional. Start creating before the rush, promote your offers early, and make the 28.5K views · 166 likes · 168 reposts · 11 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes17 766ce compte924médiane pour 10K–100K
Portée, %20.33%ce compte3.62%médiane pour 10K–100K
Engagement, %1.48%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post17 76692419.2×
Portée (vues ÷ abonnés)20.33%3.62%5.62×
Taux d'engagement1.48%1.52%0.97×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

28.5K29 Aug
17.1K31 Aug
21.7K1 Sep
17.8K2 Sep
25.7K
14.6K3 Sep
15.1K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.21%29 Aug
1.48%31 Aug
1.54%1 Sep
1.51%2 Sep
0.92%
1.59%3 Sep
1.39%

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

What the audience does

Likes49.3%931 in total
Reposts45.7%863 in total
Replies4.5%85 in total
Bookmarks0.6%11 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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