XRPL Labs 🪝 ✓

@XRPLLabs · The Netherlands · joined 09 Nov 2018

We build software for the XRP ledger: Xaman (https://t.co/Yn9HeXl4OJ). Official channels: @XamanWallet - by @WietseWind & team https://t.co/tSv0zrWREa

136 601Followers

21Following

1 385Posts total

81.7KViews on collected posts

Últimas publicaciones

XRPL Labs 🪝 ✓@XRPLLabs3 Sep

Cutting-edge infrastructure ✅ Deepest knowledge of the XRPL ✅ Innovative infrastructure solutions since day 1 ✅ Putting @XamanWallet users ahead of everyone else ✅ Infrastructure that scales before you need it to ✅ 6.9K views · 86 likes · 19 reposts · 1 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs24 Aug

@XRPLLabs Most swap tools route around a ledger's complexity. Building the logic into the structure instead is a different tier of native — and it's exactly why teams like ours build on XRPL in the first place. Depth beats wrapping. 46 views · 1 likes · 0 reposts · 0 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs24 Aug

Millions of ripple:native in liquidity are being reached every week through these deeper routes. That liquidity already existed on the Ledger. The limitation was never the depth itself. It was how far average tools are able to search. 2.3K views · 39 likes · 2 reposts · 1 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs24 Aug

The results are measurable. 15-20% of swaps take a custom smart route. Those trades average 3.4% better outcomes. Some improve by 10-20% or more. The largest single saving so far is around 10,000 ripple:native on one trade that the default path would have missed entirely. 1.8K views · 32 likes · 0 reposts · 2 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs24 Aug

Xaman Swap is a clear example of what happens when almost a decade of deep ripple:native Ledger knowledge is mixed with innovation. Instead of stopping at the obvious path, it was built to go further into the Ledger’s structure and surface liquidity that standard tools miss. 39.2K views · 221 likes · 31 reposts · 5 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs23 Aug

Less friction = Growth that compounds. 7.9K views · 129 likes · 18 reposts · 5 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs21 Aug

Stay ahead and be the first to know. 5.6K views · 54 likes · 6 reposts · 0 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs21 Aug

Have you already set up Price Alerts in Xaman? Intuitive ripple:native alerts, your way: exact price, % move, one-time or recurring. Be the first to know when the market moves. https://t.co/FHpFWWwV8N 18.1K views · 264 likes · 34 reposts · 10 replies Open on X →

XRPL Labs 🪝 ✓@XRPLLabs23 Mar 2021

Security Advisory: an important note on importing existing XRPL accounts! This article explains security risks of key management and focuses on the potential security risks of importing existing accounts. PLEASE READ CAREFULLY! https://t.co/hI94LdWwLe https://t.co/NqYcwJx0DL 0 views · 750 likes · 264 reposts · 198 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.

Visualizaciones medianas6 204esta cuenta5 983mediana de 100K–1M

Alcance, %4.54%esta cuenta1.49%mediana de 100K–1M

Interacción, %1.76%esta cuenta0.93%mediana de 100K–1M

Métrica	Esta cuenta	Mediana de 100K–1M	Proporción
Visualizaciones medianas por publicación	6 204	5 983	1.04×
Alcance (visualizaciones ÷ seguidores)	4.54%	1.49%	3.05×
Tasa de interacción	1.76%	0.93%	1.90×

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

18.1K21 Aug

5.6K

7.9K23 Aug

39.2K24 Aug

1.8K

2.3K

6.9K3 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

1.74%21 Aug

1.08%

1.93%23 Aug

0.66%24 Aug

1.92%

1.79%

2.17%

1.56%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes84.1%826 in total

Reposts11.2%110 in total

Replies2.4%24 in total

Quotes0.9%9 in total

Bookmarks1.3%13 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Cuentas similares