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Dion Hinchcliffe

@dhinchcliffe · Washington, D.C. · joined 16 Jul 2006

Thinker, strategist, enterprise architect, keynote speaker, analyst, book author, futurist on #IT, #CIO, #cloud, #AI. Stealth research firm. @SDABocconi

55 649Followers
7 110Following
74 512Posts total
2.2KViews on collected posts

Latest posts

@dhinchcliffe Sounda great! I had a moment of switching hats between recovery time objectives and return to office, but that is a very big and sensitive topic for a lot of folks! #ciochat 24 views · 2 likes · 0 reposts · 0 replies Open on X →
#CIOChat Good chat today! Join us at 2pm ET next Thursday. Topic: The Great RTO Standoff Hope you enjoy our movie tie-ins to intro next week’s topic. Please suggest topics and invite your IT colleagues. Every Thursday at 2pm ET. https://t.co/ny1DoZK166
434 views · 2 likes · 1 reposts · 1 replies Open on X →
#CIOChat Q4: Agentic AI increasingly makes spend nondeterministic: Loops, retries, tool calls, and subagents can turn one request into 100s. What controls do you want to put in place (spend, max turns, model downscope, caches, kill switches?) Who owns AI economics in production?
356 views · 3 likes · 0 reposts · 1 replies Open on X →
#CIOChat Q3: Model routing is a hot new economic control surface for AI. Are you using or considering an enterprise AI gateway/router like OpenRouter, Portkey, LiteLLM to arbitrage models/providers, fail over, enforce budgets, centralize telemetry? What would make you trust it?
428 views · 4 likes · 0 reposts · 2 replies Open on X →
#CIOChat Q2: Tokens are a lousy unit of business value. Are you developing your own AI unit economics (cost/resolved case, generated feature, qualified lead, completed workflow, etc.?) Which measures are most useful? How do you make funding, architecture or kill/scale decisions?
246 views · 3 likes · 2 reposts · 1 replies Open on X →
@dhinchcliffe I'm afraid "AI operating model" is too static of an idea. Orgs must dispose of change the business vs run the business thinking and adopt structures that are always in motion to capture structural opportunities. 35 views · 1 likes · 0 reposts · 1 replies Open on X →
@dhinchcliffe The useful test is whether the model becomes a repeatable operating loop: approved use cases, evals, cost/latency SLOs, and rollback when quality drifts. That makes “stays right” measurable for teams shipping AI into production. 8 views · 1 likes · 0 reposts · 0 replies Open on X →
New Post: The Arrival of the AI Operating Model https://t.co/LyRsi3UnBg A hot topic IT leadership. For most CIOs and AI leaders, building an adaptive AI model that stays “right” will be critical. And they better be using frontier models repeatably to create ‘starshots’. 703 views · 4 likes · 4 reposts · 3 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.

Median views301this account991median for 10K–100K
Reach, %0.54%this account3.84%median for 10K–100K
Engagement, %2.36%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post3019910.30×
Reach (views ÷ followers)0.54%3.84%0.14×
Engagement rate2.36%1.52%1.55×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

7039 Sep
810 Sep
35
24617 Sep
428
356
434
24

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.56%9 Sep
12.50%10 Sep
5.71%
2.85%17 Sep
1.87%
1.40%
1.15%
8.33%

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

What the audience does

Likes45.5%20 in total
Reposts15.9%7 in total
Replies20.5%9 in total
Quotes11.4%5 in total
Bookmarks6.8%3 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.

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