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vicki

@vboykis · joined 21 Jan 2009

Moving vectors to different machines sometimes. Founding ml engineer in recsys/search. I like reading, art, reggaeton, Nutella, and terrible jokes

60 555Followers
1 172Following
37 739Posts total
201.1KViews on collected posts

Posts recentes

Precision vs recall, 2026 version https://t.co/2g5RwC8SOS 4.6K views · 95 likes · 5 reposts · 7 replies Open on X →
Writing code is barely solved, walking around the app missing from the RL 9.9K views · 99 likes · 3 reposts · 6 replies Open on X →
My review of Fable 5.1: https://t.co/IpXGX2ZDOP https://t.co/QJA2SGMljQ 13.4K views · 36 likes · 0 reposts · 4 replies Open on X →
New post: We need to be deleting more code. 💆‍♀️ https://t.co/koBt7A80In 9.1K views · 200 likes · 15 reposts · 9 replies Open on X →
@vboykis The savviness you're losing to LLMs, you'd already outsourced to Stack Overflow copy-paste. At least this tool is honest about it. 108 views · 0 likes · 0 reposts · 0 replies Open on X →
i mentioned a few prompts ago that I wanted code explained to me like I was a senior engineer that appreciated precision but no compsci jargon and now we're getting passive-aggressive. https://t.co/gYNzPs6HD3 6.4K views · 99 likes · 3 reposts · 9 replies Open on X →
@vboykis If you defined your personality by your ability to write code, it must feel quite suffocating. If one insist on seeking pleasure from the process and as a result spend months what AI agent can do in a day, are you really productive or just killing time and raising cost? 559 views · 8 likes · 1 reposts · 1 replies Open on X →
@vboykis I miss the days of a bug driving me nuts and spending half a day reading through stackoverflow and the library wiki/documentation and some random person’s blog that saves me in the end 1K views · 4 likes · 0 reposts · 0 replies Open on X →
Feeling a variation of this pretty strongly these days https://t.co/z8jxVmmRKa 16.6K views · 235 likes · 19 reposts · 6 replies Open on X →
Touch grass edition Saturday https://t.co/kxRH7zWIol 2.7K views · 41 likes · 1 reposts · 2 replies Open on X →
@vboykis Gemma 4 was a big milestone, imo. What's mind-boggling to me is that for single-turn work, even the 2B variant is really good! 3K views · 14 likes · 1 reposts · 1 replies Open on X →
@vboykis I also use Gemma 26B! I also like Qwen3.6 quants 🙌🏼 I use llama server 🦙 lovely post! 1.8K views · 13 likes · 0 reposts · 0 replies Open on X →
@vboykis Local models have gotten good enough for many tasks. The gap that still forces hybrid setups is reliable long context and tool calling consistency when the agent needs to operate across a full codebase or multi step process. 5.5K views · 6 likes · 1 reposts · 1 replies Open on X →
new post: how I develop recently using local models. the tooling is now good enough to do agentic workflows and everyone should give them a try! https://t.co/3Tx3CMsNG3 126.4K views · 875 likes · 96 reposts · 32 replies Open on X →

Em comparação com contas do mesmo porte

10 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.

Mediana de visualizações5 486esta conta924mediana para 10K–100K
Alcance, %9.06%esta conta3.62%mediana para 10K–100K
Engajamento, %1.60%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post5 4869245.94×
Alcance (visualizações ÷ seguidores)9.06%3.62%2.50×
Taxa de engajamento1.60%1.52%1.05×

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

126.4K15 Jun
5.5K
1.8K16 Jun
3K
2.7K29 Aug
16.6K
1K30 Aug
559
6.4K
108
9.1K1 Sep
13.4K3 Sep
9.9K
4.6K

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.81%15 Jun
0.15%
0.70%16 Jun
0.53%
1.63%29 Aug
1.57%
0.40%30 Aug
1.79%
1.74%
0.00%
2.46%1 Sep
0.32%3 Sep
1.09%
2.32%

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

What the audience does

Likes49.5%1 725 in total
Reposts4.2%145 in total
Replies2.2%78 in total
Quotes0.7%24 in total
Bookmarks43.4%1 513 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.

Contas semelhantes

Frequently asked questions about @vboykis

How many followers does @vboykis have?

60 555 followers.

How many posts has @vboykis published?

37 739 posts.

How do posts by @vboykis perform?

Collected posts: 14. Views: 201 067. Likes: 1 725.