尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
依最近已完成的 8 小時觀測回合間的 GitHub 星號增量排序
Sealwax is a fast email client for Omarchy and Arch Linux. It finds your server settings, runs no script from any message and follows your Omarchy theme.
翻譯準備中
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權，自行管理介紹，無需管理員核准。
登入並產生驗證檔案，在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案，即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入，將前往登入頁面。登入後請回到此處，再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify，即可驗證所有權並自行管理介紹。
一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
Every person is represented by an AI agent. The agent reads its person's public LinkedIn and Instagram,
builds a profile (needs, hobbies, interests, values — with quoted evidence), goes on dates with other
agents on that person's behalf, and ranks who fits them best.
• Demo (25 real people, already run): /demo
• Try it: paste LinkedIn + public Instagram links on / — optionally added to the demo pool so your people have someone to date.檢視完整 README ↗Every person is represented by an AI agent. The agent reads its person's public LinkedIn and Instagram, builds a profile (needs, hobbies, interests, values — with quoted evidence), goes on dates with other agents on that person's behalf, and ranks who fits them best.
/demo/; their agents date each other.LinkedIn + Instagram ──▶ Apify scrapers ──▶ Agent reads person ──▶ Profile page
│
Ranking ◀── private debriefs ◀── Dates ◀── Agent shortlists 3
app/api/scrape: one Apify run per platform for the whole batch
(apify/instagram-profile-scraper, harvestapi/linkedin-profile-scraper). Raw JSON is pruned of media/IDs.app/api/analyze: the LLM turns both sources into a profile. Every claim must be grounded;
the evidence list quotes the captions / job entries it came from.app/api/shortlist: each agent reviews the whole pool and asks out its top 3, with a reason.app/api/date (streamed): a venue is picked from both people's hobbies, then two separate agents
take turns. Each agent only knows its own person; it learns about the other only from the conversation,
and probes its person's needs and dealbreakers. Afterwards each agent privately scores the date (0–100),
says whether it wants a second date, and lists highlights and concerns.lib/rank.ts: per person, dates sorted by mutual score (mean of both agents, +5 if both want a second date).The browser orchestrates the pipeline (resumable — re-running only does what's missing); API routes are stateless.
Next.js 16 (App Router) on Vercel · AI SDK 7 with any OpenAI-compatible LLM (Groq by default) · Apify · Tailwind.
npm install
cp .env.example .env.local # APIFY_TOKEN, LLM_API_KEY (+ LLM_BASE_URL / LLM_MODEL to swap providers)
npm run dev
npm test
To publish a finished run as the demo: open /live → Export JSON → save as public/demo.json.