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vibelancer ✓

@vibelancer · collabs / DM open · joined 23 Apr 2013

AI leverage for one-person builders | systems, repos, workflows | one person → a team | proof · setup · limits

10 721Followers
7 862Following
18 501Posts total
25KViews on collected posts

Последние посты

this is more useful than my entire degree i ran endis on https://t.co/Qu6xjZh3mn for a session last night. not a signal dump. a farm loop with size and risk on. turns out the edge is the quiet print, not the mint open. most desks chase the first size print. endis waits for edge
0:40
2K views · 59 likes · 0 reposts · 8 replies Open on X →
@vibelancer sick 65 views · 1 likes · 0 reposts · 0 replies Open on X →
@vibelancer @vibelancer can you post the CA dude? or add it also on your Bio? if thats okay? 4ur66Eg8Ck7kymdHLboxP6X8kVx8XaEjLLVQmmKDpump 163 views · 1 likes · 0 reposts · 1 replies Open on X →
@vibelancer volume collapses. spread stays clean. 164 views · 1 likes · 0 reposts · 0 replies Open on X →
this is more useful than my entire degree i built quietr last night for https://t.co/Qu6xjZh3mn on sol. not another first-candle bot. turns out the print is after silence. dump hits. volume collapses. spread stays clean. then the second leg lifts. that is the entry. quietr is
0:44
4.4K views · 45 likes · 1 reposts · 7 replies Open on X →
i built replaydesk for trading on https://t.co/Qu6xjZh3mn not another live sniper dashboard. a post-mortem desk. any mint in the last N minutes gets replayed with my rules as a backtest on its fresh bonding path. turns out the edge is not the entry vibes. https://t.co/cgUnBR07y
0:35
2.5K views · 42 likes · 1 reposts · 2 replies Open on X →
stanford professor sold a research bot for $125,700. not a saas landing page. a machine learning agent. percy liang. stanford. llms. the clip says he spent 14 months building it, then one company paid six figures for access. powered by gpt-6 astra, the bot claims it can chew ht
0:47
2.4K views · 35 likes · 0 reposts · 5 replies Open on X →
@vibelancer The strongest part of this setup isn't the number of agents, it's the control layer 13 views · 1 likes · 0 reposts · 0 replies Open on X →
@vibelancer really useful article, great work 🤔 21 views · 0 likes · 0 reposts · 0 replies Open on X →
@vibelancer the billing split is the part people learn the expensive way: subscription for the conductor, api keys for the night shift. i cap runs by budget now too, because a heartbeat will happily spend until morning and never once wonder whether it should. 64 views · 1 likes · 0 reposts · 1 replies Open on X →
https://t.co/jcY7sWVro4 13.3K views · 105 likes · 1 reposts · 20 replies Open on X →

На фоне аккаунтов своего размера

11 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. доходит до меньшего числа людей, чем аккаунты того же размера.

Медианные просмотры164этот аккаунт924медиана для 10K–100K
Охват, %1.53%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %1.54%этот аккаунт1.52%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост1649240.18×
Охват (просмотры ÷ подписчики)1.53%3.62%0.42×
Вовлечённость1.54%1.52%1.01×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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

13.3K24 Aug
64
21
1325 Aug
2.4K16 Sep
2.5K18 Sep
4.4K19 Sep
164
163
65
2K20 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

0.97%24 Aug
3.12%
0.00%
7.69%25 Aug
1.68%16 Sep
1.81%18 Sep
1.26%19 Sep
0.61%
1.23%
1.54%
3.33%20 Sep

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

What the audience does

Likes72.8%291 in total
Reposts0.8%3 in total
Replies11.0%44 in total
Quotes1.2%5 in total
Bookmarks14.2%57 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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