Krishna Agrawal ✓

@Krishnasagrawal · DM for Collaboration · joined 27 Nov 2023

📢 Sharing AI Tools, Web Devs & Tech Tips · 🚀 No Code Tools · 💻 AI Engineer & Creator · 🤖 AI Enthusiast · 🛠 AI Agents · 💼 Dm for Product Launch

48 958Followers

493Following

14 957Posts total

172.8KViews on collected posts

Neueste Beiträge

Krishna Agrawal ✓@Krishnasagrawal8 Sep

This is a pretty interesting idea. Giving every AI agent its own environment and state could make building and testing enterprise agents much easier. Running thousands of these in parallel is where this gets really interesting. 6.7K views · 80 likes · 25 reposts · 16 replies Open on X →

Krishna Agrawal ✓@Krishnasagrawal8 Sep

Models like MiniCPM5-2B make hierarchical routing architectures look increasingly practical. Keep a small local model in front, let it handle the obvious requests, tool calls and routine workflows, and only escalate the genuinely difficult cases to something larger. You don’t 3.4K views · 44 likes · 6 reposts · 5 replies Open on X →

Krishna Agrawal ✓@Krishnasagrawal8 Sep

What if AI shopping wasn’t just about searching and ranking products, but actually creating a market between AI agents? That’s what I find interesting about M11 OpenMarket. Buyer agents, seller agents, and an independent referee can debate products, challenge claims, and verify

4:00

16.3K views · 121 likes · 25 reposts · 10 replies Open on X →

Krishna Agrawal ✓@Krishnasagrawal4 Sep

Model hopping is becoming the new normal. Having one balance across different models makes experimenting way less painful. ⚡ 12.5K views · 50 likes · 7 reposts · 5 replies Open on X →

Krishna Agrawal ✓@Krishnasagrawal20 Aug

Started watching for the Windows XP nostalgia. Stayed for the AI agents. Puppyone lets you edit files, work with code, and run AI agents from one editor. Pretty fun twist on the classic desktop experience. 👉 Give it a try: https://t.co/2trGsYVpa8 22K views · 97 likes · 10 reposts · 18 replies Open on X →

Krishna Agrawal ✓@Krishnasagrawal20 Aug

I built a Windows XP-style editor on your Mac. Oh, and it has AI agents. https://t.co/qEMt8qEeeU

0:36

112K views · 65 likes · 16 reposts · 33 replies Open on X →

Im Vergleich zu Konten gleicher Größe

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

Medianaufrufe14 385dieses Konto924Median für 10K–100K

Reichweite, %29.38%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.76%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	14 385	924	15.6×
Reichweite (Aufrufe ÷ Follower)	29.38%	3.62%	8.12×
Interaktionsrate	0.76%	1.52%	0.50×

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

112K20 Aug

22K

12.5K4 Sep

16.3K8 Sep

3.4K

6.7K

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.13%20 Aug

0.57%

0.50%4 Sep

0.96%8 Sep

1.64%

1.81%

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

What the audience does

Likes64.1%457 in total

Reposts12.5%89 in total

Replies12.2%87 in total

Quotes4.5%32 in total

Bookmarks6.7%48 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Ähnliche Konten