Nagarro ✓

@Nagarro · Global · joined 26 Feb 2009

Nagarro, a global digital engineering leader. We are AI-powered, fluidic, and CARING. Let’s future-proof your business. 18,500 experts. 39 countries.

24 373Followers

457Following

4 049Posts total

2.4KViews on collected posts

Últimas publicaciones

Nagarro ✓@Nagarro18 Sep

@Dreamforce 2026: what a week! From the AIforce announcement to some great conversations around our Agentic AI solutions, the central theme has been maximum ROI from AI investments. Attendees at our booth explored what it takes to move from siloed AI projects to https://t.co/N

401 views · 3 likes · 1 reposts · 1 replies Open on X →

Nagarro ✓@Nagarro18 Sep

Removing hierarchy doesn’t create self-organization. Giving teams more autonomy doesn’t either. So what does? Michael Frank explores what actually needs to replace the hierarchy you remove, and why so many organizations get self-organization wrong. Read more: https://t.co/StUWWjW

373 views · 1 likes · 0 reposts · 0 replies Open on X →

Nagarro ✓@Nagarro17 Sep

Customers do not experience a journey. They experience a bank that either understands their business or makes them explain it all over again. At MEBIS 2026, Zainual Bashar and Nisha Chatlani explored how AI and data can help banks carry that context across onboarding, lending, ht

0:31

538 views · 4 likes · 2 reposts · 0 replies Open on X →

Nagarro ✓@Nagarro16 Sep

What if faster product development isn’t where the real AI advantage lies? Carlos Sousa and Gurpreet Bhadesh explore what happens when the bottleneck shifts from execution to deciding what’s actually worth building. 🎧 Listen to the full episode: https://t.co/MR2j7hYNZc https://t

0:54

557 views · 4 likes · 1 reposts · 0 replies Open on X →

Nagarro ✓@Nagarro15 Sep

What if supply chain planning could continuously respond to changing demand, inventory, and market signals - instead of waiting for the next planning cycle? At Ai4 2026, Nagarro’s Global Data & AI Practice Head, Aanish Singla, looked at how agentic AI could help teams respond h

523 views · 4 likes · 1 reposts · 1 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas523esta cuenta924mediana de 10K–100K

Alcance, %2.15%esta cuenta3.62%mediana de 10K–100K

Interacción, %1.11%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	523	924	0.57×
Alcance (visualizaciones ÷ seguidores)	2.15%	3.62%	0.59×
Tasa de interacción	1.11%	1.52%	0.73×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

52315 Sep

55716 Sep

53817 Sep

37318 Sep

401

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.15%15 Sep

0.90%16 Sep

1.12%17 Sep

0.27%18 Sep

1.25%

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

What the audience does

Likes69.6%16 in total

Reposts21.7%5 in total

Replies8.7%2 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.