Ethan Carter ✓

@ethancarterhub · San Francisco, CA · joined 10 May 2023

Exploring AI, Tech, and Productivity Hacks | Daily insights on AI-powered tools and trends for creators & entrepreneurs | DM for collaboration 📩

16 750Followers

534Following

82 808Posts total

772.9KViews on collected posts

Ultimi post

Ethan Carter ✓@ethancarterhub4 Sep

The AI tool stack is getting harder to manage, not easier. New models keep arriving, and every release seems to bring another account, dashboard, billing setup, and workflow to maintain. Having Claude, GPT, Gemini, Grok, GLM, DeepSeek, and MiniMax accessible through one balance 26.3K views · 29 likes · 29 reposts · 0 replies Open on X →

Ethan Carter ✓@ethancarterhub3 Sep

Financial agents need to work across messy information, not just answer a tidy question. Ling-3.0-flash-Fin is open sourced for those workflows, and FinFIRST adds a public way to examine the quality of the search process around them. 32.8K views · 54 likes · 61 reposts · 0 replies Open on X →

Ethan Carter ✓@ethancarterhub3 Sep

“Open” is an easy word to use. Intermediate checkpoints are harder to ship. K2 Horizon gives researchers a way to see how a model changed during training, instead of only judging the polished final weights. That is the kind of release I want more of. 22.2K views · 28 likes · 29 reposts · 0 replies Open on X →

Ethan Carter ✓@ethancarterhub1 Sep

What gets me about Hachikō is that nobody could explain to him what had happened. So he just kept going back. Same place. Same hope. That is probably why this story has stayed with people for so long. 16.9K views · 39 likes · 39 reposts · 2 replies Open on X →

Ethan Carter ✓@ethancarterhub28 Aug

The benchmark list here is broad, from search and research through spreadsheets and finance agents. That does not settle the question of usefulness, but it is the right range of tasks to demand from a finance focused model. Ling-3.0-flash-Fin is free for one month through 18.2K views · 29 likes · 29 reposts · 0 replies Open on X →

Ethan Carter ✓@ethancarterhub27 Aug

Financial work depends on trustworthy sources, consistent definitions, accurate calculations and auditable outputs. Introducing Ling-3.0-flash-Fin, a finance-enhanced version of Ling-3.0-flash, developed with financial institutions and domain experts. With 124B total and 5.1B htt 656.6K views · 430 likes · 51 reposts · 28 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane24 214questo account927mediana per 10K–100K

Copertura, %144.56%questo account3.40%mediana per 10K–100K

Interazione, %0.29%questo account1.54%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	24 214	927	26.1×
Copertura (visualizzazioni ÷ follower)	144.56%	3.40%	42.5×
Tasso di interazione	0.29%	1.54%	0.19×

Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →

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

656.6K27 Aug

18.2K28 Aug

16.9K1 Sep

22.2K3 Sep

32.8K

26.3K4 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

0.09%27 Aug

0.32%28 Aug

0.47%1 Sep

0.26%3 Sep

0.35%

0.22%4 Sep

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

What the audience does

Likes65.3%609 in total

Reposts25.5%238 in total

Replies3.2%30 in total

Quotes5.6%52 in total

Bookmarks0.4%4 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.