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Alif Hossain

@alifcoder · Australia · joined 17 Jan 2023

500K+ AI Community | AI Creator | Sharing AI news, tools & tutorials | DM or Mail for Collabs ↓ 📥 hossainalif522@gmail.com

111 160Followers
1 488Following
63 173Posts total
277.1KViews on collected posts

Postingan terbaru

Growing on X isn’t about getting lucky with one viral post. It’s about repeating the right habits long enough for momentum to compound. These are the 10 habits that made the biggest difference for me: https://t.co/wshBbhwqgh
27.2K views · 21 likes · 14 reposts · 12 replies Open on X →
Buying quality data shouldn’t take weeks of back-and-forth. Luel is making the whole process agent-native — letting AI agents buy rights-cleared, quality-assured datasets through one streamlined workflow. This is the kind of infrastructure AI agents actually need. 34.7K views · 16 likes · 8 reposts · 9 replies Open on X →
Been at work for 12 minutes and I’m already mentally clocked out. Flova somehow captured my work mood a little too accurately. @flovaai https://t.co/kiQ4LQT662
0:15
34.4K views · 20 likes · 11 reposts · 12 replies Open on X →
The Luel data marketplace is becoming agent-native. Buying data is still one of the slowest parts of building — procurement threads, licence review, a sample weeks later. We're taking that friction out. Now your agent does it. Buy rights-cleared datasets, quality-assured htt
49.3K views · 45 likes · 10 reposts · 1 replies Open on X →
The AI deck script most of us know by heart: >ask Claude for a deck >get something that looks great >realize it's on nobody's template >rebuild it slide by slide before anyone at work sees it The first two steps were never the problem. The last two eat the afternoon. Templafy 2.3K views · 14 likes · 8 reposts · 8 replies Open on X →
@alifcoder Just gonna keep using IMDb play url edit. Best discovery ever 4.8K views · 8 likes · 0 reposts · 3 replies Open on X →
@alifcoder How does brave browser work in the stead of yt premium? 4.1K views · 3 likes · 0 reposts · 1 replies Open on X →
@alifcoder Nice 2.1K views · 1 likes · 0 reposts · 0 replies Open on X →
FREE VERSIONS VERSUS PAID VERSIONS Do not pay for Spotify, use Lyra Do not pay for Apple TV, use Streamly Do not pay for Netflix, use Flixio Do not pay for Paramount+, use EpicFlix Do not pay for Apple Music, use ESound Do not pay for Peacock, use GlitchTV Do not pay for Disney, 118.1K views · 1.2K likes · 351 reposts · 17 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan34 411akun ini6 070median untuk 100K–1M
Jangkauan, %30.96%akun ini1.60%median untuk 100K–1M
Interaksi, %0.16%akun ini0.97%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan34 4116 0705.67×
Jangkauan (tayangan ÷ pengikut)30.96%1.60%19.4×
Tingkat interaksi0.16%0.97%0.17×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

118.1K23 Jun
2.1K
4.1K
4.8K24 Jun
2.3K17 Sep
49.3K
34.4K
34.7K
27.2K19 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.33%23 Jun
0.05%
0.10%
0.23%24 Jun
1.28%17 Sep
0.16%
0.12%
0.10%
0.17%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.

What the audience does

Likes38.7%1 322 in total
Reposts11.8%402 in total
Replies1.8%63 in total
Quotes0.9%32 in total
Bookmarks46.8%1 601 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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