tweetindex
ES

Jane Manchun Wong

@wongmjane · San Francisco, CA · joined 17 Jul 2011

“The woman scooping Silicon Valley” — BBC・hacker turned builder, writer & consultant・prev: Threads, Instagram, startups

182 979Followers
2 971Following
41 669Posts total
79.2KViews on collected posts

Últimas publicaciones

Just realized X MCP does work inside ChatGPT! I thought X required the xurl setup, turns out OAuth works just fine And since OAI recently allows adding custom MCP tools as “Plugins” *without* turning off context, I also lifted a few Anthropic MCP tools meant for Claude lol htt
11.8K views · 82 likes · 4 reposts · 12 replies Open on X →
@wongmjane im still hunting for the claude cap 347 views · 3 likes · 0 reposts · 0 replies Open on X →
right on time… 😮‍💨 https://t.co/mRkPBaBH9P
10.2K views · 113 likes · 0 reposts · 9 replies Open on X →
@wongmjane wanna have this one? https://t.co/iWJCYfVmnC
679 views · 9 likes · 0 reposts · 4 replies Open on X →
@wongmjane need more heads to wear all the hats 1.2K views · 5 likes · 0 reposts · 2 replies Open on X →
The next tech swag should just be a hat rack for all the previous tech swag 🧢 https://t.co/go7mGkk0rB
17.8K views · 251 likes · 2 reposts · 31 replies Open on X →
I just thought clicking through the SF Muni lines in dark mode looks pretty cool and helpful for learning about the transit in this city:) https://t.co/8Pit5Zw8K3
0:36
12.9K views · 88 likes · 1 reposts · 3 replies Open on X →
@wongmjane wiped the codebase faster than any muni line 211 views · 1 likes · 0 reposts · 0 replies Open on X →
@wongmjane Uhh, it wiped your codebase? You slipped that in there very casually 😂 583 views · 8 likes · 0 reposts · 1 replies Open on X →
@wongmjane It wiped your codebase as a cheeky joke 356 views · 4 likes · 0 reposts · 0 replies Open on X →
I used GPT-6 Astra to find the fastest-moving SF Muni buses and trains in real time I had the model repurpose the UI from my other mini apps and it seems to handle that quite well despite the scope The code generated by GPT-6 seems “qualitatively different”. It’s able to come h
23.2K views · 99 likes · 2 reposts · 9 replies Open on X →

Frente a cuentas del mismo tamaño

11 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas1 168esta cuenta4 398mediana de 100K–1M
Alcance, %0.64%esta cuenta1.71%mediana de 100K–1M
Interacción, %0.86%esta cuenta1.35%mediana de 100K–1M
MétricaEsta cuentaMediana de 100K–1MProporción
Visualizaciones medianas por publicación1 1684 3980.27×
Alcance (visualizaciones ÷ seguidores)0.64%1.71%0.37×
Tasa de interacción0.86%1.35%0.64×

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

23.2K6 Sep
356
583
211
12.9K
17.8K
1.2K
679
10.2K7 Sep
347
11.8K8 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.48%6 Sep
1.12%
1.54%
0.47%
0.71%
1.62%
0.60%
1.91%
1.20%7 Sep
0.86%
0.85%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.

What the audience does

Likes72.4%663 in total
Reposts1.0%9 in total
Replies7.8%71 in total
Quotes0.9%8 in total
Bookmarks18.0%165 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.

Cuentas similares