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Jimmy Lin ✓

@lintool · Nearby data lake · joined 15 Feb 2010

I profess CS-ly at @UWaterloo. Previously, I monkeyed code for @Twitter, slides for @Cloudera, and scienced for @yupp_ai.

15 309Followers
870Following
4 532Posts total
25.2KViews on collected posts

Derniers posts

Achievement unlocked! 🔓 Does this come with stat bonuses or help with saving throws? https://t.co/UdBFnOyAIA 6.2K views · 143 likes · 9 reposts · 34 replies Open on X →
My colleague @yuntiandeng about “Claudish” 🤖 and how AI coding agents are changing the way we communicate! https://t.co/ucsVRavyM1 2.5K views · 10 likes · 1 reposts · 1 replies Open on X →
Agentic reproducibility is the unlock, I claim. To what? 🙋‍♂️ Find out by reading my piece "Reproducibility in the Era of AI Agents" 🤖 in the June 2026 issue of SIGIR Forum. https://t.co/ZJkagfBsd7 3.7K views · 31 likes · 6 reposts · 1 replies Open on X →
I always tell this joke in my classes about IR, and it goes something like: well, short of inventing telepathic retrieval, we remain stuck with some form of query formulation, be it a few keywords (before) or a prompt (now)... little did I know... 😜 1.9K views · 9 likes · 0 reposts · 2 replies Open on X →
🪠 Belatedly plugging a paper that attempts to bridge information nuggets and side-by-side comparisons with @arena data for complex LLM responses (tl;dr - pointwise vs. pairwise evaluations) https://t.co/8glTgpigrq Paper led by @Sahel_Sharify @Ushivani3 @beirmug! 1.4K views · 11 likes · 3 reposts · 2 replies Open on X →
@lintool Congratulation Jimmy, for such an amazing piece 126 views · 0 likes · 0 reposts · 0 replies Open on X →
@lintool Very much looking forward to reading this! 288 views · 0 likes · 0 reposts · 0 replies Open on X →
@lintool Literally can’t wait to read this! Very top of mind these days. 243 views · 1 likes · 0 reposts · 0 replies Open on X →
What I'm cooking up... 👨‍🍳 https://t.co/1nXA42fKtK
8.9K views · 62 likes · 4 reposts · 4 replies Open on X →

Face aux comptes de taille comparable

3 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes3 724ce compte924médiane pour 10K–100K
Portée, %24.33%ce compte3.62%médiane pour 10K–100K
Engagement, %1.02%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post3 7249244.03×
Portée (vues ÷ abonnés)24.33%3.62%6.72×
Taux d'engagement1.02%1.52%0.67×

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

8.9K11 May
243
28812 May
126
1.4K5 Aug
1.9K6 Aug
3.7K11 Aug
2.5K9 Sep
6.2K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.79%11 May
0.41%
0.00%12 May
0.00%
1.16%5 Aug
0.59%6 Aug
1.02%11 Aug
0.48%9 Sep
3.01%

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

What the audience does

Likes67.8%267 in total
Reposts5.8%23 in total
Replies11.2%44 in total
Bookmarks15.2%60 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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