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nisten ✓

@nisten · Toronto · joined 24 Jun 2008

fullstack-dev democratizing intelligence e/acc DevRel @PrismML

17 985Followers
8 354Following
30 921Posts total
162.6KViews on collected posts

Ultimi post

Fable 5.1 ran out of 4hour quota in just 2 prompts on the Team plan 👎, but it did build the best ever Mars maglev launch simulation that even landed on earth. 👍💫 https://t.co/ykYwWE0E37 https://t.co/AlRvx6LQbR 1.7K views · 18 likes · 2 reposts · 1 replies Open on X →
We'll be covering A6TRA launchlive here 802 views · 6 likes · 0 reposts · 0 replies Open on X →
Huge AI week! OpenAI GPT6 astra + Fable 5.1, Spark 1.3, ♊ 3.8 ⚡, Worldlabs Atlas & tons more news! https://t.co/HXpP0zxo51 2.1K views · 5 likes · 0 reposts · 0 replies Open on X →
LIVE: Astra today? + Fable 5.1, Spark 1.3, ♊ 3.8 ⚡, Worldlabs Atlas & tons more news! https://t.co/1TzoXGGvNP 10.3K views · 19 likes · 2 reposts · 0 replies Open on X →
The whole METR Dwarkesh et al thing about an eval opening only 11 docker instances on huggingface is just pro-regulatory-capture propaganda. If they cared about cybersecurity they’d teach people how to block backdoors and encrypt their stuff properly. 3.1K views · 55 likes · 4 reposts · 5 replies Open on X →
Fable 5.1 is out. Was about to post how F5 felt like Sonnet4.5 lol https://t.co/PhpVgk0YNt 1.1K views · 16 likes · 0 reposts · 2 replies Open on X →
@nisten @DanielSnider @VectorInst Happy new year and thanks for the awesome HF drops 407 views · 4 likes · 0 reposts · 0 replies Open on X →
@nisten @DanielSnider @VectorInst Hello 227 views · 3 likes · 0 reposts · 0 replies Open on X →
@nisten @DanielSnider @VectorInst Better to solve the insurance and waiting time for med stuff in canada first. A f...kin MRI time could last for months to set for a patient. 349 views · 7 likes · 0 reposts · 0 replies Open on X →
I'd💞to thank @DanielSnider from @VectorInst for helping draft this open architecture for Canadian hospitals to deploy AI in a safe, scalable & auditable manner. It enables both public & private owned code to interoperably solve the whole problem. CC3.0 license💫Feedback welcome ht 142.5K views · 476 likes · 30 reposts · 37 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane1 896questo account924mediana per 10K–100K
Copertura, %10.54%questo account3.62%mediana per 10K–100K
Interazione, %1.01%questo account1.52%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post1 8969242.05×
Copertura (visualizzazioni ÷ follower)10.54%3.62%2.91×
Tasso di interazione1.01%1.52%0.66×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

142.5K17 Mar
34929 Jul
22723 Nov
40731 Dec
1.1K1 Sep
3.1K2 Sep
10.3K3 Sep
2.1K
802
1.7K

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

0.39%17 Mar
2.01%29 Jul
1.32%23 Nov
0.98%31 Dec
1.63%1 Sep
2.13%2 Sep
0.24%3 Sep
0.28%
0.75%
1.27%

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

What the audience does

Likes62.0%609 in total
Reposts3.9%38 in total
Replies4.6%45 in total
Quotes1.3%13 in total
Bookmarks28.3%278 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.

Account simili