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MemoLabs

@MemoLabsOrg · Singapore · joined 10 Apr 2019

MEMO is an AI-Driven, User-Centric Data Blockchain with a modular design. #DePIN #web3 #data https://t.co/Vonyi06mRi

55 445Followers
534Following
2 883Posts total
3.3KViews on collected posts

Últimas publicaciones

1. 🧵 #MEMO101: A data call has to settle itself. MEMO uses the open x402 standard to do it. Here's why per-call beats per-month. 🧵 https://t.co/CA0W50UVJT
535 views · 5 likes · 0 reposts · 1 replies Open on X →
The EU AI Office sent its first formal requests to 30+ general-purpose model providers on Sept 1 — asking what their training data contains and on what legal basis. Misleading answers: up to €15M or 3% of global turnover. The power took effect Aug 2, and was used within a https:
622 views · 11 likes · 1 reposts · 0 replies Open on X →
1. 🧵 #MEMO101: MEFS / Meeda — storage built for agents. Not "a place to drop files." Memory agents can read and write. 🧵 2. MEFS is MEMO's decentralized storage layer. Meeda is the data middleware that lets agents access it without standing up their own pipeline. 3. Agents htt
606 views · 6 likes · 0 reposts · 0 replies Open on X →
Google is negotiating with major Hollywood studios to license content, reportedly offering hundreds of millions. For rights to a single Disney character, the reported figure is around $40M. Training data is shifting from "free scraping" to a market with a price tag. Data's value
559 views · 11 likes · 0 reposts · 1 replies Open on X →
@MemoLabsOrg the win is keeping data on local servers, which directly enables secure enterprise adoption. 13 views · 0 likes · 0 reposts · 0 replies Open on X →
@MemoLabsOrg 好的加油。 22 views · 0 likes · 0 reposts · 0 replies Open on X →
@MemoLabsOrg Airbus and HSBC paid for on-prem sovereignty. Curious how long before that same willingness shows up for personal data at scale. 56 views · 0 likes · 0 reposts · 0 replies Open on X →
Mistral just closed a €3B Series D, lifting its valuation from €12B to €21.3B, led by Samsung — the largest equity round in European AI history. What capital is paying for isn't benchmark scores. It's a model that sits on the customer's own servers: sensitive data never https://
878 views · 9 likes · 2 reposts · 3 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas547esta cuenta994mediana de 10K–100K
Alcance, %0.99%esta cuenta3.82%mediana de 10K–100K
Interacción, %1.06%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación5479940.55×
Alcance (visualizaciones ÷ seguidores)0.99%3.82%0.26×
Tasa de interacción1.06%1.52%0.70×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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

87812 Sep
56
22
1313 Sep
55914 Sep
60615 Sep
62216 Sep
53518 Sep

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

1.59%12 Sep
0.00%
0.00%
0.00%13 Sep
2.15%14 Sep
0.99%15 Sep
1.93%16 Sep
1.12%18 Sep

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

What the audience does

Likes79.2%42 in total
Reposts5.7%3 in total
Replies9.4%5 in total
Bookmarks5.7%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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