Hamel Husain ✓
@HamelHusain · Looking at the data · joined 15 Sep 2012
Evals Evals Evals - https://t.co/Zrmp6LRd9c About Me: https://t.co/P6WyeKkyTa
56 467Followers
2 662Following
17 466Posts total
673.6KViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
I recommend grabbing these skills that @sh_reya and I created and at the very least doing an /eval-audit of your existing pipeline.
We've found that people often find low hanging fruits! https://t.co/AkSq3NqtiJ
17.6K views · 168 likes
· 19 reposts · 8 replies
Open on X →
Is Slop Dead? (Testing Writing With 5.5 Opus) https://t.co/4H7xOhhsHi
2.4K views · 15 likes
· 1 reposts · 3 replies
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Pro tip: Install this new evals skill from @HamelHusain and @sh_reya, it'll save you many hours and a lot of mistakes
https://t.co/RpWeLaxgQm https://t.co/uYo3fLsRIB
146.2K views · 1K likes
· 65 reposts · 19 replies
Open on X →
Q: What should you do when your "gold" eval dataset becomes stale?
A: Use regular error analysis to find new problems. Keep updating your evals as your product and users change.
https://t.co/L1AI4XrR4f https://t.co/6LfvxgiSEq
2.9K views · 62 likes
· 6 reposts · 17 replies
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This post was a labor of love! We’ve distilled thousands of hours of work on AI Evals into a 30 min read + skills you can use to quickly uncover errors in your product.
https://t.co/RuxMypR2Gd
BTW in addition to high quality content, Lenny effectively **pays you** in AI
40.6K views · 364 likes
· 42 reposts · 13 replies
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Evals have been coming up more and more in my conversations with podcast guests and PM friends.
Nearly half of the 25 awesome PM job openings I shared last week ask for experience writing evals. And leading companies keep sharing what investing in evals bought them:
— @tryramp h
265.2K views · 546 likes
· 42 reposts · 46 replies
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It's cool that there is more interest in eval tools!
Some opportunities for improvement:
1. Right now, this workflow tries to quiz you up front about your recollection of your experience with a plugin. It would be better if it was more "in-situ", meaning you could give
19.6K views · 183 likes
· 16 reposts · 37 replies
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. @isaac_flath and I are going to see if the slop prompt is good and do some evals. (also first time trying to stream haha).
https://t.co/boPHM4nRR5 https://t.co/UpRoIJ7vxo
4.4K views · 14 likes
· 0 reposts · 13 replies
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I love how Teresa is merging product discovery with evals. I think its a powerful combination!
I started learning about product discovery b/c of Teresa and I think its a great skill for any engineer as it helps you focus on what to build. Highly recommend checking out her
47.4K views · 184 likes
· 10 reposts · 14 replies
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AI evals have been the "it" skill for product teams for over a year. I've even called evals a new discovery habit.
But I still meet product teams who only have a vague idea of what evals are. And it's not their fault. Most of the writing on this topic is intended for engineers
62.7K views · 286 likes
· 24 reposts · 18 replies
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Over the summer, @sh_reya and I hosted 13 sessions on AI Engineering topics like retrieval, post-training, inference, and evals.
I've summarized all the sessions, organized by theme, with links to the source materials.
Warning: I've tried to pull the most important ideas from
60.3K views · 769 likes
· 92 reposts · 29 replies
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Frente a cuentas del mismo tamaño
12 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas30 103esta cuenta996mediana de 10K–100K
Alcance, %53.31%esta cuenta3.84%mediana de 10K–100K
Interacción, %0.77%esta cuenta1.51%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 30 103 | 996 | 30.2× |
| Alcance (visualizaciones ÷ seguidores) | 53.31% | 3.84% | 13.9× |
| Tasa de interacción | 0.77% | 1.51% | 0.51× |
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
60.3K12 Aug
4.2K3 Sep
62.7K
47.4K4 Sep
4.4K
19.6K11 Sep
265.2K22 Sep
40.6K
2.9K
146.2K
2.4K
17.6K
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.48%12 Aug
0.26%3 Sep
0.53%
0.44%4 Sep
0.61%
1.20%11 Sep
0.25%22 Sep
1.03%
2.90%
0.76%
0.78%
1.12%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.
What the audience does
Likes32.6%3 624 in total
Reposts2.9%317 in total
Replies2.0%220 in total
Quotes0.3%36 in total
Bookmarks62.2%6 906 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
13 Sep
Daily snapshots since 13 Sep 2026; the dashed line is the starting count.
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