OpenHands ✓

@OpenHandsDev · joined 24 May 2024

OpenHands is the leading open source agent for software development, usable through a CLI, GUI, SDK, or IDE https://t.co/LvSlDFkAwA

11 489Followers

23Following

1 055Posts total

73.4KViews on collected posts

Últimas publicaciones

OpenHands ✓@OpenHandsDev10 Sep

AI is becoming a system you build, not just a model you call. Models, inference, agents, evals, infrastructure. Builders should be able to choose each layer and change it as better options emerge. That shared philosophy is why OpenHands is excited to be a partner for the 2.6K views · 14 likes · 4 reposts · 2 replies Open on X →

OpenHands ✓@OpenHandsDev3 Sep

Agentic development is moving beyond one-off chats. The useful part isn’t just getting an agent to complete a task once. It’s being able to understand what it did, review the output, and turn that work into something repeatable. That's where we focused in August across eight 746 views · 5 likes · 0 reposts · 0 replies Open on X →

OpenHands ✓@OpenHandsDev2 Sep

We're happy to be an OSS partner with the new Stanford class on modern software development. We're looking forward to lots of contributions! 1.5K views · 11 likes · 0 reposts · 1 replies Open on X →

OpenHands ✓@OpenHandsDev31 Aug

AI sprawl gets expensive fast. Not because teams are using too much AI, but because agents, models, and workflows start spreading across the org with no shared way to measure what’s working. The answer isn’t forcing everyone onto one model. It’s building shared infrastructure 856 views · 4 likes · 0 reposts · 0 replies Open on X →

OpenHands ✓@OpenHandsDev2 Mar

For coding agents, "skills" are a great way to automate repetitive workflows, but how can we tell if they're working at scale? We did a deep dive on how you can log, monitor, and improve agent skills, with a real example of building a customized PR review skill. https://t.co/TPS

67.6K views · 212 likes · 14 reposts · 8 replies Open on X →

Frente a cuentas del mismo tamaño

4 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas1 189esta cuenta927mediana de 10K–100K

Alcance, %10.35%esta cuenta3.40%mediana de 10K–100K

Interacción, %0.71%esta cuenta1.54%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	1 189	927	1.28×
Alcance (visualizaciones ÷ seguidores)	10.35%	3.40%	3.04×
Tasa de interacción	0.71%	1.54%	0.47×

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

67.6K2 Mar

85631 Aug

1.5K2 Sep

7463 Sep

2.6K10 Sep

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

0.35%2 Mar

0.47%31 Aug

0.79%2 Sep

0.67%3 Sep

0.76%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes45.7%246 in total

Reposts3.3%18 in total

Replies2.0%11 in total

Bookmarks48.9%263 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.