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Bishal Nandi ✓

@LearnWithBishal · Learn AI for FREE ➡️ · joined 20 Oct 2014

AI-driven Tomorrow 🚀 | Growth Marketer - I help companies leverage AI tools, optimize their marketing & drive revenue growth | *190k+ LinkedIn

119 065Followers
383Following
34 337Posts total
253.3KViews on collected posts

Neueste Beiträge

🚨 Xiaomi's new open-source model just quietly climbed near the top of the AI leaderboard. MiMo V2.6 Pro scored 46 on the Artificial Analysis Intelligence Index, making it the highest-ranked open-source model there and putting it just 1 point behind GPT-5.6 Sol. It also ranks ht
12.3K views · 47 likes · 10 reposts · 13 replies Open on X →
You won't believe this: 480p to 4K for just $1. Reroll at 480p, then upscale only the keeper to 4K. Creative Upscale, only on Dreamina. Here's exactly how 👇 #Dreamina #DreaminaPartner https://t.co/Z8aBr2rov7
0:10
56.8K views · 222 likes · 64 reposts · 21 replies Open on X →
"On brand” can mean wildly different things to two people. I'd rather give Pexo a visual reference and explain what matters in it: the restrained colours, maybe, or the way the typography fills the frame. Then review a style frame together. That's a conversation I can work http
0:12
47.3K views · 75 likes · 37 reposts · 20 replies Open on X →
Been testing a lot of image models lately, and Hunyuan 3.5 genuinely surprised me. Good image quality, fast generations, and the cost is hard to ignore. Feels like one of those tools that’s worth trying for yourself. https://t.co/4CU5c5NMZp
0:08
40.1K views · 204 likes · 43 reposts · 13 replies Open on X →
@LearnWithBishal This is a massive game-changer! Getting agent code out of localhost and straight into production so easily is exactly what we needed. 🔥 10 views · 1 likes · 0 reposts · 0 replies Open on X →
Not just code sitting in a chat or on localhost. Actual work you can deploy, read, and share. Try https://t.co/Rooxv9HX9D 👇 And get closer to AI-native development!! 2.5K views · 20 likes · 2 reposts · 0 replies Open on X →
You get analytics, error logs, and performance data like: → Load latency → Requests → Errors → Lighthouse-style checks So you can actually see what your AI agent shipped. https://t.co/X6FJbEqJoz
2.2K views · 24 likes · 0 reposts · 2 replies Open on X →
Instead of leaving your agent's work buried in chat or stuck on localhost, Showly turns it into a page that you can actually read and share. Showly also has a VERSION HISTORY of every push. So if your AI agent pushes a BUG 🐞 You can literally: 1️⃣ See the error logs. 2️⃣ htt
2.5K views · 22 likes · 0 reposts · 1 replies Open on X →
You just need to connect Showly to your AI coding agent. Showly connects with: → Claude Code → Codex → Cursor → OpenClaw → Hermes So you can PARALLELY run multiple CODING agents.... And still have ONE place to deploy everything. https://t.co/xgwj0mhS6E
3.3K views · 23 likes · 0 reposts · 1 replies Open on X →
🚨 AI coding agents can build amazing things.... But then you still need to manually deploy the code on Vercel, Netlify, etc... And sometimes, the work your agent creates is still buried in chat, stuck in a .md file, or sitting on localhost. But I just found Showly AI... And h
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86.3K views · 317 likes · 85 reposts · 48 replies Open on X →

Im Vergleich zu Konten gleicher Größe

10 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe7 760dieses Konto5 983Median für 100K–1M
Reichweite, %6.52%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.69%dieses Konto0.93%Median für 100K–1M
KennzahlDieses KontoMedian für 100K–1MVerhältnis
Medianaufrufe pro Beitrag7 7605 9831.30×
Reichweite (Aufrufe ÷ Follower)6.52%1.49%4.37×
Interaktionsrate0.69%0.93%0.74×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

86.3K17 Sep
3.3K
2.5K
2.2K
2.5K
10
40.1K22 Sep
47.3K
56.8K
12.3K23 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

0.52%17 Sep
0.73%
0.91%
1.17%
0.88%
10.00%
0.65%22 Sep
0.32%
0.54%
0.58%23 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes59.8%955 in total
Reposts15.1%241 in total
Replies7.5%119 in total
Quotes1.3%20 in total
Bookmarks16.4%261 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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