PricePilot-Intelligent-Pricing-Dashboard
PricePilot is a comprehensive pricing optimization platform that leverages cutting-edge machine learning algorithms to help businesses make data-driven pricing decisions. The platform combines multiple AI models to analyze market conditions, predict demand, optimize pricing strategies, and provide actionable insights for maximizing profitability
What XERJ indexed
Snapshot
The whole repository at commit d598d4b995 (2026-10-22). It is the newest commit on main.
Selected work
“final touchups”. 20 files, 3,901 lines in price-optimiser-frontend.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-24. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
Example questions
- Where does PricePilot-Intelligent-Pricing-Dashboard handle “final touchups”?
- What does price-optimiser-frontend do in PricePilot-Intelligent-Pricing-Dashboard?
Inside the indexed corpus
- Languages by size: JavaScript 63.4%, Python 35.7%, Batchfile 0.7%, HTML 0.1%, CSS 0%.
- On GitHub since 2025-06-06, last push 2026-10-29, 22 commits on main.
Licence on GitHub and in the corpus
GitHub reported MIT for Tuhin-SnapD/PricePilot-Intelligent-Pricing-Dashboard on 2026-10-29, and the LICENSE file at commit d598d4b995 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Tuhin Chakrabarty (@Tuhin-SnapD) has 48 selected repositories on the hub.
Their other repository pages: Tuhin-SnapD/NewsMelt-Advance-News-Finder, Tuhin-SnapD/Text-Summarization-Models, Tuhin-SnapD/Online-Banking-App, Tuhin-SnapD/ChatApp, Tuhin-SnapD/Prison-Management-System, Tuhin-SnapD/Real-Time-Stock-Trading-Simulator.
Using XERJ with PricePilot-Intelligent-Pricing-Dashboard
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
The prompt
Paste it into your AI agent. It clones Tuhin-SnapD/PricePilot-Intelligent-Pricing-Dashboard at the pinned commit and indexes it on your machine.
Search the GitHub repository Tuhin-SnapD/PricePilot-Intelligent-Pricing-Dashboard with XERJ (https://hub.xerj.org/corpus/tuhin-snapd--pricepilot-intelligent-pricing-dashboard). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Tuhin-SnapD/PricePilot-Intelligent-Pricing-Dashboard PricePilot-Intelligent-Pricing-Dashboard && git -C PricePilot-Intelligent-Pricing-Dashboard checkout d598d4b995eb55dc5963a31d5b0e78fa2d3e53a6 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./PricePilot-Intelligent-Pricing-Dashboard --url http://127.0.0.1:9200 --prefix pricepilot-intelligent-p --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Tuhin ChakrabartyAI, prompts and agents corpora
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.