AI SDK ✓
@aisdk · San Francisco, CA · joined 12 Nov 2024
The Open Source AI Toolkit for TypeScript. Built by @Vercel.
Последние посты
![Code snippet showcasing the import of libraries and functions for connecting to an MCP client and using an AI SDK with OAuth authentication:
import { createMCPClient } from '@ai-sdk/mcp';
import { connectAuthProvider } from '@vercel/connect/ai-sdk';
import { streamText } from 'ai';
const mcpClient = await createMCPClient({
transport: {
type: 'http',
url: 'https://mcp.linear.app',
authProvider: connectAuthProvider('oauth/linear', {
subject: { type: 'user', id: userId },
scopes: ['read'],
}),
},
});
const result = await streamText({
model: 'openai/gpt-5.6-sol',
tools: await mcpClient.tools(),
prompt,
});](https://pbs.twimg.com/media/HQlV-x7aIAAUIG0.jpg)
На фоне аккаунтов своего размера
7 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.
| Показатель | Этот аккаунт | Медиана для 10K–100K | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 16 656 | 1 070 | 15.6× |
| Охват (просмотры ÷ подписчики) | 45.57% | 3.77% | 12.1× |
| Вовлечённость | 0.88% | 1.65% | 0.54× |
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
Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.
What the audience does
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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