WakaTime

@WakaTime · joined 25 Jun 2013

Track AI Adoption in your team with https://t.co/jQQgI0KZmT Dashboards for developers, open source IDE plugins, and AI metrics.

20 639Followers

822Following

3 268Posts total

3KViews on collected posts

Últimas publicaciones

WakaTime@WakaTime22 Aug

Burning money on AI? 640 views · 2 likes · 0 reposts · 0 replies Open on X →

WakaTime@WakaTime18 Aug

@WakaTime me one of them 😁 2 views · 0 likes · 0 reposts · 0 replies Open on X →

WakaTime@WakaTime23 Jul

WakaTime has a new leaderboard for non-AI coding: https://t.co/AU186gzrmO The AI coding leaderboard is now at https://t.co/E9ad71QLve 646 views · 3 likes · 0 reposts · 0 replies Open on X →

WakaTime@WakaTime26 Jun

New pro leaderboard gets top placement in the weekly WakaTime email. Join the board by enabling the PRO badge on your public profile https://t.co/xwiAYlGaif https://t.co/64g4t72yyf

324 views · 2 likes · 1 reposts · 1 replies Open on X →

WakaTime@WakaTime15 Jun

@WakaTime honestly the best case of ai implementation ^^ 13 views · 0 likes · 0 reposts · 0 replies Open on X →

WakaTime@WakaTime30 May

@WakaTime これ正直、盲点でした Rules for AIの使い方から見直してみたら、流れがスッと整いました 26 views · 0 likes · 0 reposts · 0 replies Open on X →

WakaTime@WakaTime30 May

check out the new AI metrics - AI Usage by Dev - Lines of code generated vs written by humans - Which devs are using which models - How much those AI generated lines are costing in tokens We're rolling out this dashboard to teams for Claude, Codex, Cursor, etc. https://t.co/GFB

731 views · 9 likes · 2 reposts · 3 replies Open on X →

WakaTime@WakaTime4 May

Most tools stop at tokens, WakaTime shows more: → AI Adoption per dev/team/agent → AI Spend per dev/team/agent → AI Effectiveness - when devs fix what AI generated Only WakaTime can accurately attribute each line of code to AI or old-school Human. https://t.co/GB4QBy9Abx ht

573 views · 9 likes · 1 reposts · 3 replies Open on X →

Frente a cuentas del mismo tamaño

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

Visualizaciones medianas482esta cuenta961mediana de 10K–100K

Alcance, %2.34%esta cuenta3.53%mediana de 10K–100K

Interacción, %0.39%esta cuenta1.59%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	482	961	0.50×
Alcance (visualizaciones ÷ seguidores)	2.34%	3.53%	0.66×
Tasa de interacción	0.39%	1.59%	0.24×

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

5734 May

73130 May

1315 Jun

32426 Jun

64623 Jul

218 Aug

64022 Aug

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

2.27%4 May

1.92%30 May

0.00%

0.00%15 Jun

1.23%26 Jun

0.46%23 Jul

0.00%18 Aug

0.31%22 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.59%.

What the audience does

Likes67.6%25 in total

Reposts10.8%4 in total

Replies18.9%7 in total

Bookmarks2.7%1 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.