Mike Flache ✓

@mikeflache · joined 28 Aug 2010

Chairman @DG_Collective

21 274Followers

1 864Following

24 241Posts total

3.3KViews on collected posts

Against accounts of the same size

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

Median views672this account2 747median for 10K–100K

Reach, %3.16%this account8.35%median for 10K–100K

Engagement, %6.50%this account1.45%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	672	2 747	0.24×
Reach (views ÷ followers)	3.16%	8.35%	0.38×
Engagement rate	6.50%	1.45%	4.49×

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

75116 Jul

79820 Jul

74310 Aug

26427 Aug

148

6001 Sep

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

7.72%16 Jul

6.27%20 Jul

6.73%10 Aug

2.65%27 Aug

2.70%

10.67%1 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.45%.

What the audience does

Likes52.9%127 in total

Reposts30.4%73 in total

Replies11.7%28 in total

Quotes2.1%5 in total

Bookmarks2.9%7 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.

Latest posts

We used to think automation would replace repetitive tasks. That was the easy part. The equation changes when machines start operating inside the physical infrastructure that runs the digital economy. Then the question isn't whether robots will take over certain tasks; they 600 views · 42 likes · 15 reposts · 6 replies 01 Sep 2026 Technology resilience can no longer be separated from quantum resilience. The challenge is making that transition without compromising the systems organizations depend on today. What I value in Santosh’s work is his ability to connect regulatory experience with practical 148 views · 1 likes · 1 reposts · 2 replies 27 Aug 2026 Technology resilience is incomplete without quantum resilience Operational resilience now has to cover more than traditional cybersecurity. Boards face threats amplified by frontier AI, dependencies on aging technology, and a migration to post-quantum cryptography that has to ht 264 views · 3 likes · 2 reposts · 1 replies 27 Aug 2026 The more capable AI systems become, the less useful it is to think of security as a separate layer. An adaptive system that can act on its own changes the nature of the risk. We won't be securing static software anymore, but securing systems that can learn, adapt, and 743 views · 26 likes · 17 reposts · 4 replies 10 Aug 2026 For a while, the race was about building the most capable model. I'm not convinced that's where lasting differentiation will come from. The opportunity lies in AI that adapts to how people and organizations think, not the other way around. Intelligence becomes far more valuable 798 views · 26 likes · 16 reposts · 8 replies 20 Jul 2026 We often measure AI by what it knows, because knowledge can be scaled. The ability to adapt, generalize, and learn from limited experience is far harder to replicate—and far more valuable. That's where the next meaningful breakthroughs are likely to come from. What's your take 751 views · 29 likes · 22 reposts · 7 replies 16 Jul 2026