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@rachelnabors · London, England · joined 19 Oct 2007

building https://t.co/0KqQknKyA5 | Prev @reactjs @aws @W3C | cool glasses

27 747Followers
595Following
110 402Posts total
61.2KViews on collected posts

Derniers posts

That's one mini WebMCP course recorded. Phew! 165 views · 0 likes · 0 reposts · 0 replies Open on X →
I went from juggling 3-6 agents to managing 4 core agents. This is my Code Assembly Line: Issue Triager Issue Looper (spins up little agents to get draft PRs out on triaged issues) Human QA (runs each draft past me) PR Reviews (assistant for when an external PR needs my review) 454 views · 4 likes · 0 reposts · 1 replies Open on X →
Huggingface and Mistral were doing the heavy lifting on EMEA's AI relevance. I suspect why there haven't been others is that both started when commercial models required significantly fewer resources to develop and run... 790 views · 2 likes · 1 reposts · 1 replies Open on X →
I have finally turned a corner on my long COVID recovery. I'd gone from being able to hike mountains to being unable to walk up stairs. I've been working with a personal trainer for 4 years trying to get back to where I was. Recently, I was hiking chalk cliffs without needing to 937 views · 28 likes · 0 reposts · 4 replies Open on X →
@rachelnabors This looks quite similar to what @DSPyOSS does with GEPA - which uses a bigger model to "teach" an SLM by fine tuning the prompts to get to an acceptable level - interesting direction nonetheless and evals provide much needed discipline for production AI systems 286 views · 4 likes · 0 reposts · 1 replies Open on X →
@rachelnabors I also love the idea of reducing dependence on the big AI labs 223 views · 5 likes · 0 reposts · 1 replies Open on X →
@rachelnabors Local models becoming viable solutions even for coding. Excited for this future. 306 views · 3 likes · 0 reposts · 1 replies Open on X →
https://t.co/zkRr6QSAMM 58.1K views · 168 likes · 19 reposts · 8 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. en dessous de ses pairs à la fois en portée et en engagement.

Vues médianes622ce compte924médiane pour 10K–100K
Portée, %2.24%ce compte3.62%médiane pour 10K–100K
Engagement, %0.80%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post6229240.67×
Portée (vues ÷ abonnés)2.24%3.62%0.62×
Taux d'engagement0.80%1.52%0.53×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

58.1K20 May
306
223
28621 May
9373 Sep
790
454
165

Last 8 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%20 May
1.31%
2.69%
1.75%21 May
3.42%3 Sep
0.51%
1.10%
0.00%

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

What the audience does

Likes31.0%214 in total
Reposts2.9%20 in total
Replies2.5%17 in total
Quotes1.6%11 in total
Bookmarks62.0%428 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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