Mikhail Parakhin ✓

@MParakhin · joined 24 Mar 2022

Shopify CTO

31 268Followers

22Following

2 781Posts total

593.4KViews on collected posts

Derniers posts

Mikhail Parakhin ✓@MParakhin22 Sep

@MParakhin @TIME So you do have a face :D 368 views · 6 likes · 0 reposts · 0 replies Open on X →

Mikhail Parakhin ✓@MParakhin22 Sep

@MParakhin @TIME very very well deserved, congrats Mikhail ✨ 379 views · 6 likes · 0 reposts · 0 replies Open on X →

Mikhail Parakhin ✓@MParakhin22 Sep

@MParakhin @TIME Congratulations! You’ve been an inspiring leader for so many years! 324 views · 2 likes · 0 reposts · 0 replies Open on X →

Mikhail Parakhin ✓@MParakhin22 Sep

Thank you @Time for the recognition https://t.co/L7AwjNemdr and congratulations to the full list of honorees! 36.5K views · 312 likes · 4 reposts · 33 replies Open on X →

Mikhail Parakhin ✓@MParakhin6 Sep

Used GPT-6 and Fable 5.1 extensively: - GPT-6 Max is the best model ever in math/ML, beating 5.2 Pro. This morning 6 Pro has appeared in Web interface - can't wait to test! - 6 is extremely hampered by its tiny context space, it's like talking to the super-smart Dory! - Fable 5.1 103.8K views · 1.1K likes · 19 reposts · 61 replies Open on X →

Mikhail Parakhin ✓@MParakhin6 Sep

My favorite past time now: ask ChatGPT Pro "please tell me another 10 cool, super-useful things about C++, Pytorch or Machine Learning that I don’t know already. Think deeply, look at my history - the question is more complicated than it looks" - an unbelievable way to learn! Try 28.9K views · 600 likes · 12 reposts · 19 replies Open on X →

Mikhail Parakhin ✓@MParakhin5 Sep

Trying to format pasted text in coding agents is just evil. This is Codex forgetting C++ does exist :-) https://t.co/01OBCyTP6g

3.9K views · 10 likes · 1 reposts · 5 replies Open on X →

Mikhail Parakhin ✓@MParakhin1 Sep

And the prompt is fully gisted as well! We do do cool things here :-) 13.7K views · 143 likes · 2 reposts · 5 replies Open on X →

Mikhail Parakhin ✓@MParakhin30 Aug

@MParakhin Tobi. (Tobi is always right.) 14.6K views · 365 likes · 1 reposts · 10 replies Open on X →

Mikhail Parakhin ✓@MParakhin30 Aug

@MParakhin Both of you. 4.7K views · 141 likes · 0 reposts · 4 replies Open on X →

Mikhail Parakhin ✓@MParakhin30 Aug

@MParakhin people with the discipline to plan projects to some cohesive end goal -- it makes the adhd worse and leads you awry. you're moving fast but not in the right direction 22.7K views · 650 likes · 3 reposts · 17 replies Open on X →

Mikhail Parakhin ✓@MParakhin30 Aug

Tobi and I had an argument: - He claims LLMs advantage people with ADHD, who start many things, LLMs work, people hop between them - I claim they advantage super-disciplined folks, LLMs are tremendous entropy-generators, controlling which is the name of the game Who is right? 363.3K views · 3.2K likes · 94 reposts · 861 replies Open on X →

Face aux comptes de taille comparable

12 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 médianes14 179ce compte924médiane pour 10K–100K

Portée, %45.35%ce compte3.62%médiane pour 10K–100K

Engagement, %1.36%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	14 179	924	15.3×
Portée (vues ÷ abonnés)	45.35%	3.62%	12.5×
Taux d'engagement	1.36%	1.52%	0.90×

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

363.3K30 Aug

22.7K

4.7K

14.6K

13.7K1 Sep

3.9K5 Sep

28.9K6 Sep

103.8K

36.5K22 Sep

324

379

368

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

1.15%30 Aug

2.95%

3.11%

2.57%

1.09%1 Sep

0.41%5 Sep

2.18%6 Sep

1.11%

0.97%22 Sep

0.62%

1.58%

1.63%

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

What the audience does

Likes67.3%6 523 in total

Reposts1.4%136 in total

Replies10.5%1 015 in total

Quotes0.1%7 in total

Bookmarks20.7%2 009 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

12 Sep

Daily snapshots since 12 Sep 2026; the dashed line is the starting count.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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