Aidan Gomez ✓

@aidangomez · Toronto and London · joined 17 Jun 2012

cofounder @cohere

40 071Followers

731Following

3 213Posts total

1.2MViews on collected posts

Derniers posts

Aidan Gomez ✓@aidangomez3 Sep

Wow, very good news for Canada! Unifying these orgs under a digital and AI mandate is exactly what’s needed and Patrick is the perfect person to lead it. https://t.co/HmZY0e67lK 16.3K views · 238 likes · 22 reposts · 10 replies Open on X →

Aidan Gomez ✓@aidangomez3 Sep

Congrats to Jensen and Clem and team! Looks like an extremely strong match for open source AI. 8.9K views · 99 likes · 4 reposts · 3 replies Open on X →

Aidan Gomez ✓@aidangomez28 Aug

@aidangomez We all lowkey want to but Canada lowkey doesn’t want us to 12.9K views · 238 likes · 2 reposts · 4 replies Open on X →

Aidan Gomez ✓@aidangomez28 Aug

@aidangomez You have no idea how viciously some of us were abused 26.9K views · 598 likes · 6 reposts · 10 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

@aidangomez Higher taxes, less opportunity, more regulation and everyone hates success - what a sales pitch 4K views · 344 likes · 1 reposts · 2 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

Canada needs its Canadians. You should come home and help build this country. 1.1M views · 1.6K likes · 144 reposts · 376 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

Superficial but extremely dark 26K views · 237 likes · 7 reposts · 12 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

The x axis is log scale 🫨🫨🫨 8.1K views · 53 likes · 4 reposts · 6 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

Welcome Brydon 12.2K views · 74 likes · 5 reposts · 5 replies Open on X →

Aidan Gomez ✓@aidangomez27 Aug

Parsing turns out to be one of the biggest bottlenecks to LLMs being able to make effective use of enterprise data. Previously, you had to choose between high-quality understanding that is unscalable and costs $$$ or shit quality lossy-parsing that is scalable. NOT ANYMORE https: 12.9K views · 137 likes · 10 reposts · 16 replies Open on X →

Face aux comptes de taille comparable

10 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes12 894ce compte924médiane pour 10K–100K

Portée, %32.18%ce compte3.62%médiane pour 10K–100K

Engagement, %1.23%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	12 894	924	14.0×
Portée (vues ÷ abonnés)	32.18%	3.62%	8.89×
Taux d'engagement	1.23%	1.52%	0.81×

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

12.9K27 Aug

12.2K

8.1K

26K

1.1M

26.9K28 Aug

12.9K

8.9K3 Sep

16.3K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.28%27 Aug

0.69%

0.78%

0.99%

0.20%

8.73%

2.28%28 Aug

1.89%

1.19%3 Sep

1.68%

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

What the audience does

Likes79.3%3 629 in total

Reposts4.5%205 in total

Replies9.7%444 in total

Quotes1.9%88 in total

Bookmarks4.5%208 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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