# yaojingang/profound-clone > An educational local replica of the Profound AI Search visualization platform: marketing site, product workspace and admin panel built with Next.js 16, React 19 and SQLite, plus a simulated Agent engine. - Magnitude: 0.7 out of 10 — Cooling - Stars: 77 total · +0 stars measured 2026-10-18, 00:28–11:53 UTC, ≈ 0 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: TypeScript · License: MIT · Created: 2026-10-14 · Last push: 2026-10-14 - GitHub: https://github.com/yaojingang/profound-clone · Page: https://gitnova.dev/en/r/yaojingang/profound-clone ## Useful for - Run a local dashboard to study a SaaS product architecture built on Next.js 16 and React 19 - Explore a sample Agent system with run history and step-by-step traces - Study scrypt auth with httpOnly cookies and owner/admin roles ## Why it’s here - Star-counter measurements on 2026-10-18 (UTC), 00:28–11:53: 77 → 77 stars (+0). This is the change over that interval. - The repository is 4 days old and already has 77 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Recent forks include notable developers: @nashsu (832 followers). ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 61 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 16 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-14 … 2026-10-18: 61, 14, 1, 1, 0 ## Magnitude by day, last 2 days 10-17 1.5, 10-18 1.1 ## More in this category 1. **withmarbleapp/os-taxonomy** — 6.2 · Breakout · Learning & lists · JavaScript · +203 stars measured 2026-10-18, 00:22–11:45 UTC, ≈ 425 by evening An open taxonomy of primary-school learning micro-topics: 1,590 concepts wired into a prerequisite graph and aligned to national curriculum standards (NGSS, Common Core, UK NC). Pure JSON data, no runtime. Full card: https://gitnova.dev/en/r/withmarbleapp/os-taxonomy.md 2. **showheyohtaki/motion-prompt** — 5.7 · Early signal · Learning & lists · JavaScript · +58 stars measured 2026-10-18, 00:21–11:45 UTC, ≈ 116 by evening A library of names for motion-graphics moves, camera moves, UI components, web effects and photo looks, each with a moving sample and an example prompt. Helps you name what you want an AI to make. Full card: https://gitnova.dev/en/r/showheyohtaki/motion-prompt.md 3. **songshikang0111/awesome-REA-cases** — 5.7 · Early signal · Learning & lists · Python · +81 stars measured 2026-10-18, 00:22–11:45 UTC, ≈ 153 by evening ,A curated collection of AI-assisted reverse-engineering cases and projects, including REA (connecting coding agents to local RE tools via CLI and MCP). Updated six times daily with 439 entries across games, hardware, apps, and algorithms. Full card: https://gitnova.dev/en/r/songshikang0111/awesome-REA-cases.md 4. **BeckyGlobal/PaidToStudyAbroad** — 4.8 · Early signal · Learning & lists · HTML · +66 stars measured 2026-10-18, 00:21–11:46 UTC, ≈ 116 by evening A Chinese-language guide to studying abroad with funding: scholarships, tuition-free study, government grants and paid PhDs, citing official sources only. 70 entries with costs, benefits and evidence levels. Full card: https://gitnova.dev/en/r/BeckyGlobal/PaidToStudyAbroad.md 5. **chenwei810/Semiconductor_Manufacturing_Introduction** — 4.5 · Early signal · Learning & lists · Python · +45 stars measured 2026-10-18, 00:22–11:46 UTC, ≈ 96 by evening An open, beginner-friendly book that walks through the full semiconductor manufacturing flow, from sand to packaged chip, in Traditional Chinese, English, Japanese and Korean. It explains process steps, terminology and fab know-how… Full card: https://gitnova.dev/en/r/chenwei810/Semiconductor_Manufacturing_Introduction.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-18 11:55 UTC, updated every 30 minutes.