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

Latest posts

Bishal Nandi ✓@LearnWithBishal23 Sep

🚨 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 →

Bishal Nandi ✓@LearnWithBishal22 Sep

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 →

Bishal Nandi ✓@LearnWithBishal22 Sep

"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 →

Bishal Nandi ✓@LearnWithBishal22 Sep

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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

@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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

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 →

Bishal Nandi ✓@LearnWithBishal17 Sep

🚨 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

0:34

86.3K views · 317 likes · 85 reposts · 48 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views7 760this account5 983median for 100K–1M

Reach, %6.52%this account1.49%median for 100K–1M

Engagement, %0.69%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	7 760	5 983	1.30×
Reach (views ÷ followers)	6.52%	1.49%	4.37×
Engagement rate	0.69%	0.93%	0.74×

Others in this range → Compare with another account → How these benchmarks are built →

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

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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts