Todd Dailey ✓

@twid · San Jose, California · joined 02 Dec 2006

22 years at Apple. AI positioning, executive briefings, tech demos, technical sales enablement. Now independent.

21 052Followers

408Following

5 055Posts total

147KViews on collected posts

Neueste Beiträge

Todd Dailey ✓@twid23 Sep

Paprika chips are so good! Don’t understand why they aren’t a common flavor in the USA https://t.co/WgMOfJdTlp

629 views · 6 likes · 0 reposts · 2 replies Open on X →

Todd Dailey ✓@twid23 Sep

https://t.co/DdQ5hd5rig

GIF

1.6K views · 11 likes · 0 reposts · 2 replies Open on X →

Todd Dailey ✓@twid23 Sep

🚀 MCDMA is working between my Mac Studio & DGX Sparks, and now it's time to bring it to everyone who loves oMLX. I’ve opened a new PR based on the Mac/CUDA cluster path I worked on a while back. It’s under review, and I can’t wait to hear people's feedback. Additionally, I http

27.4K views · 177 likes · 12 reposts · 13 replies Open on X →

Todd Dailey ✓@twid22 Sep

This is big, in a post-truth world where audio, video and news can be faked, having an authoritative library of information is important. I was discussing with friends a while ago about how verified knowledge sets prior to 2021 will become an interesting source of truth. 1.3K views · 9 likes · 0 reposts · 0 replies Open on X →

Todd Dailey ✓@twid22 Sep

100 seconds TTFT with 256K cold cache will feel slooooooow to anyone used to OpenAI or Anthropic or Deepseek hosted speeds. That said, for personal AI your cache hit rate should be high. Is it worth $10,000+? Depends on your use case. You get privacy, security, offline access, 14K views · 54 likes · 0 reposts · 11 replies Open on X →

Todd Dailey ✓@twid8 May

Here’s an Apple secret: Success comes from culture, not technology. Like many at Apple, I worked for many years under John Brandon, our longtime head of sales. He had his “Top Ten Rules for Success” which I carried around and lived by. It’s easy to spot someone from Brandon’s

102.1K views · 648 likes · 64 reposts · 15 replies Open on X →

Im Vergleich zu Konten gleicher Größe

5 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe1 552dieses Konto959Median für 10K–100K

Reichweite, %7.37%dieses Konto3.75%Median für 10K–100K

Interaktion, %0.76%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	1 552	959	1.62×
Reichweite (Aufrufe ÷ Follower)	7.37%	3.75%	1.97×
Interaktionsrate	0.76%	1.52%	0.50×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

102.1K8 May

14K22 Sep

1.3K

27.4K23 Sep

1.6K

629

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.72%8 May

0.47%22 Sep

0.71%

0.76%23 Sep

0.84%

1.27%

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

What the audience does

Likes48.6%905 in total

Reposts4.1%76 in total

Replies2.3%43 in total

Quotes0.5%10 in total

Bookmarks44.5%830 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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