# lemonadesaltbagel/teardown > A toolkit for clean-room reimplementation of app features from behavior rather than source: an observer agent studies the app as a black box, and a second agent implements only from a sanitized spec. - Magnitude: 3.1 out of 10 — Early signal - Stars: 61 total · +2 stars measured 2026-10-27, 10:04–10:54 UTC, ≈ 13 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: Apache-2.0 · Created: 2026-10-22 · Last push: 2026-10-27 - GitHub: https://github.com/lemonadesaltbagel/teardown · Page: https://gitnova.dev/en/r/lemonadesaltbagel/teardown ## Useful for - Rebuild a third-party feature in your own product without copying code - Verify a clone against the original via abstract pass/fail verdicts - Record coverage and observation gaps in a signed audit log ## Why it’s here - Star-counter measurements on 2026-10-27 (UTC), 10:04–10:54: 59 → 61 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day. - The repository is 5 days old and already has 61 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## 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: 8 - Issues and pull requests: 0 - Watchers: 6 - Average over the last week: 12 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-22 … 2026-10-27: 0, 0, 0, 23, 34, 2 ## More in this category 1. **TauricResearch/TradingAgents** — 8.7 · Breakout · AI agents · Python · +807 stars measured 2026-10-27, 00:34–10:51 UTC, ≈ 1,710 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 2. **HKUDS/DeepTutor** — 8.6 · Breakout · AI agents · Python · +877 stars measured 2026-10-27, 00:34–10:51 UTC, ≈ 1,769 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 3. **makecindy/cindy** — 8.5 · Breakout · AI agents · TypeScript · +614 stars measured 2026-10-27, 00:34–10:51 UTC, ≈ 1,396 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 4. **t3dotgg/tstack** — 8.3 · Breakout · AI agents · Python · +197 stars measured 2026-10-27, 00:34–10:51 UTC, ≈ 756 by evening A collection of reusable agent skills for Claude Code and Codex that automate pull request workflows, from filing and reviewing to merging, plus peer review by multiple models. Full card: https://gitnova.dev/en/r/t3dotgg/tstack.md 5. **alchaincyf/huashu-design** — 8.2 · Breakout · AI agents · HTML · +849 stars measured 2026-10-27, 00:34–10:51 UTC, ≈ 1,572 by evening An HTML design skill for AI agents (Claude Code, Codex, Cursor) that turns a single prompt into deliverable designs: App/Web prototypes, editable PPTX, animations and infographics. Includes an 84-style library and a six-direction… Full card: https://gitnova.dev/en/r/alchaincyf/huashu-design.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 2026-10-27 11:09 UTC, updated every 30 minutes.