Muriel Medard ✓

@MurielMedard · Cambridge, Massachusetts · joined 18 Dec 2023

Bringing two decades of research in my MIT lab to life at @get_optimum where we use decentralized coding to scale blockchains. Ask me about RLNC

24 556Followers

113Following

2 005Posts total

52.4KViews on collected posts

Postingan terbaru

Muriel Medard ✓@MurielMedard8 Sep

I think crypto as an industry is a bit torn between being a meritocracy that rewards measurable results, and an irrational hype driven market that puts narratives over evidence. That's just my perspective, I discussed this recently with @jilliangodsil of @blockleaders (you can 2.4K views · 112 likes · 23 reposts · 23 replies Open on X →

Muriel Medard ✓@MurielMedard8 Sep

Excellent post by @blocmates , capturing the essence of what @get_optimum does and why it does it. 1.9K views · 78 likes · 12 reposts · 19 replies Open on X →

Muriel Medard ✓@MurielMedard8 Sep

What even is the point of blockchain if we have to give up decentralization to make it scale? We've somehow ended up treating better performance as a reason to compromise what makes blockchain different in the first place. So what if there's another way? 🌏 That's the https:

5:48

31.5K views · 122 likes · 16 reposts · 22 replies Open on X →

Muriel Medard ✓@MurielMedard5 Sep

Really enjoyed the intelligent, engaged conversation with @AGTPinsights ! 2K views · 95 likes · 14 reposts · 27 replies Open on X →

Muriel Medard ✓@MurielMedard1 Sep

Traditional exchange co location does not translate to DeFi, @murielmedard, CEO at @get_optimum, explained, because blockchain networks are distributed across nodes that can be anywhere in the world. Muriel said the core problem is similar in both markets → reliable speed https:

1:23

5.6K views · 32 likes · 4 reposts · 7 replies Open on X →

Muriel Medard ✓@MurielMedard31 Aug

Proud of our partneship @get_optimum with @FinoaConsensus ! 1.9K views · 132 likes · 15 reposts · 44 replies Open on X →

Muriel Medard ✓@MurielMedard26 Aug

Had an amazing time sharing what we've built at @get_optimum during the Nanyang Blockchain Conference in Singapore. 🇸🇬 Decentralize to scale! https://t.co/PFvn4uk1hz

7.1K views · 152 likes · 33 reposts · 56 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan2 432akun ini924median untuk 10K–100K

Jangkauan, %9.90%akun ini3.62%median untuk 10K–100K

Interaksi, %5.71%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	2 432	924	2.63×
Jangkauan (tayangan ÷ pengikut)	9.90%	3.62%	2.74×
Tingkat interaksi	5.71%	1.52%	3.75×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

7.1K26 Aug

1.9K31 Aug

5.6K1 Sep

2K5 Sep

31.5K8 Sep

1.9K

2.4K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.39%26 Aug

10.23%31 Aug

0.76%1 Sep

6.85%5 Sep

0.51%8 Sep

5.71%

6.50%

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

What the audience does

Likes66.9%723 in total

Reposts10.8%117 in total

Replies18.3%198 in total

Bookmarks4.0%43 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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