Gitmore 每月有 1,021 次造訪，月增率 -62.4%，定價模式為免費增值。Together AI 每月有 1,645,930 次造訪，成長率 +64.9%，定價模式為免費增值、付費。
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | gitmore.io | together.ai |
| 定價模式 | 免費增值 | 免費增值、付費 |
| 每月造訪次數 | 1021 (1,021) | 164.59萬 (1,645,930) |
| 月流量變化量 | -1698 (-62.4%) |
| +64.77萬 (+64.9%) |
| 主要市場與市佔 | 🇺🇸 美國 (100%) | 🇺🇸 美國 (36.3%) |
|---|
| 每月直接造訪 | 401 | 88.22萬 |
|---|
| 使用者評分 | 4.1 | 4.7 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
把每次提交與拉取請求變成 Slack 或郵件更新
以 AI 產生每日、每週或每月的已合併工作與進行中拉取請求摘要，依你設定的時區與時間推送到 Slack 或電子郵件。
將每個提交與拉取請求歸屬到具體人員或 Claude Code、Copilot、Cursor、Codex 等代理，掌握 AI 佔比、合併率與等待審查的代理 PR。
為客戶、投資人與高層提供可自訂品牌、密碼保護的白話更新頁面，並依已合併工作產生公開更新日誌與可嵌入元件。
將 Notion、Linear、Jira、Asana、ClickUp、Trello 的任務與實作它的拉取請求關聯，標示「已合併但任務仍未關閉」的情況。
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
專項更強Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
專項更強Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
#2
專項更強一個 API 串接 1500+ 可上線的生成式媒體模型
免費 / 開源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
專項更強Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
除了標準文字 LLM 外，還高度專注於部署自訂機器學習模型與媒體生成管線。
免費 / 開源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
用一個 API 快速、可預測成本地執行 LLM 與多模態模型
