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Comet ✓

@Cometml · New York, NY · joined 18 Oct 2017

Comet provides an end-to-end model evaluation platform for AI developers, with best in class LLM evaluations, experiment tracking, and production monitoring

14 942Followers
878Following
3 503Posts total
3.3KViews on collected posts

Últimas publicaciones

What if each #ClaudeCode session contained distinct, identifiable phases, and those phases could be used to optimize usage patterns and token cost without hurting productivity? Our team explores this concept as a new feature for Comet Cost Intelligence: https://t.co/niUuTZAJFk 474 views · 3 likes · 0 reposts · 2 replies Open on X →
Traditional APM wasn’t built for LLMs. It assumes deterministic behavior and loud failures. That’s the observability gap our Principal Engineer, Andrés Cruz, has been tackling while building Opik from the early days 🧵 524 views · 7 likes · 0 reposts · 3 replies Open on X →
Everyone’s racing to build agent-first UX, but what does that really look like? Our Product Design Lead goes behind the scenes on her research, decisions, and challenges she faced optimizing Opik for users and agents working in the terminal instead of the application UI: 1.2K views · 4 likes · 1 reposts · 0 replies Open on X →
Did you know you can iterate on multiple AI prompts in your agentic system without having to redeploy the backend every time? Learn how the @goDigibee team versions and updates prompts in production with Opik: https://t.co/lBDhjkhq01 459 views · 4 likes · 1 reposts · 0 replies Open on X →
@Cometml @_odsc Adrés is so talented and great at breaking down the why and how behind his engineering work — excited for this! 11 views · 1 likes · 1 reposts · 0 replies Open on X →
@Cometml @_odsc solid stuff. 19 views · 1 likes · 1 reposts · 0 replies Open on X →
The best engineering work doesn't happen in isolation, it gets shared with the community. Excited to see Andrés Cruz represent @Cometml at @_odsc AI West with a workshop on building reliable AI systems with Opik through agent tracing, LLM evaluations, & real-time monitoring. htt
620 views · 5 likes · 3 reposts · 2 replies Open on X →

Frente a cuentas del mismo tamaño

7 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. justo en la mediana de su rango de seguidores.

Visualizaciones medianas474esta cuenta924mediana de 10K–100K
Alcance, %3.17%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.61%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación4749240.51×
Alcance (visualizaciones ÷ seguidores)3.17%3.62%0.88×
Tasa de interacción1.61%1.52%1.06×

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

62028 Jul
19
11
45931 Jul
1.2K1 Sep
52416 Sep
47422 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.61%28 Jul
10.53%
18.18%
1.09%31 Jul
0.41%1 Sep
1.91%16 Sep
1.05%22 Sep

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

What the audience does

Likes55.6%25 in total
Reposts15.6%7 in total
Replies15.6%7 in total
Bookmarks13.3%6 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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