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IBM Developer

@IBMDeveloper · Global · joined 19 Sep 2008

Join our community to explore agentic AI, data science & cloud tech through tutorials, challenges & expert insights. Build skills, learn & grow with us.

121 776Followers
34 476Following
84 505Posts total
10.9KViews on collected posts

Posts recentes

Turn one BRD into a multi-agent solution with five AI agents, Python tools, and a knowledge base. Follow Ahmed Azraq and Allen Chan as they use the Launch Bob feature in watsonx Orchestrate to build, test, evaluate, and deploy the solution: https://t.co/lsvalsm5Cs https://t.co/c
1.5K views · 9 likes · 1 reposts · 1 replies Open on X →
Same coding agent. Completely different outcomes. Context can be the difference between a rough response and production-ready software. @TechCowgirlBri explains why: https://t.co/uZBwNp0LSc https://t.co/8aRWSaIT7Q
1.5K views · 14 likes · 2 reposts · 2 replies Open on X →
@IBMDeveloper https://t.co/kAzQuhh81K
GIF
958 views · 5 likes · 0 reposts · 1 replies Open on X →
Learn more: https://t.co/0C1dPLP5BL 770 views · 2 likes · 0 reposts · 0 replies Open on X →
Consider this your printed reminder: 💻 IBM TechXchange 2026 🗓️ October 26–29 📍 Atlanta, GA See you there. 👀 https://t.co/sYqRPWuzFt
3.7K views · 25 likes · 5 reposts · 7 replies Open on X →
Coding agents can turn a vague idea into working software fast. But what happens when no one has defined what “correct” means? Markus Eisele explores how much specification agentic development actually needs: https://t.co/X6APdp4XRv https://t.co/yKXK2lkVxq
2.4K views · 17 likes · 5 reposts · 0 replies Open on X →

Em comparação com contas do mesmo porte

6 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. bem na mediana da sua faixa de seguidores.

Mediana de visualizações1 540esta conta5 853mediana para 100K–1M
Alcance, %1.26%esta conta1.54%mediana para 100K–1M
Engajamento, %0.81%esta conta0.98%mediana para 100K–1M
MétricaEsta contaMediana para 100K–1MProporção
Mediana de visualizações por post1 5405 8530.26×
Alcance (visualizações ÷ seguidores)1.26%1.54%0.82×
Taxa de engajamento0.81%0.98%0.82×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

2.4K4 Sep
3.7K9 Sep
770
958
1.5K14 Sep
1.5K15 Sep

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

0.90%4 Sep
1.04%9 Sep
0.26%
0.63%
1.24%14 Sep
0.71%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes63.2%72 in total
Reposts11.4%13 in total
Replies9.6%11 in total
Quotes1.8%2 in total
Bookmarks14.0%16 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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