drake.equation

This project is an interactive web tool that visualizes the Drake Equation, used to estimate the number of technologically advanced…

A new way for AI to search for data
View on GitHub
7GitHub stars

JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b9a8bc74fe (2026-10-26).

Selected work

Mikel
@Mendiak

“add science provenance, methodology pages and technical SEO”. 34 files, 5,484 lines in src/js, src/css, scripts.

Licence

The repository

CC0-1.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

CC0-1.0, with credit

The author agreed by email on 2026-10-27. 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

astrobiologychartjsdrake-equationexoplanetsfermi-paradoxgalaxy-simulationgithub-pageshabitable-zone

Example questions

The prompt

Paste it into your AI agent. It clones Mendiak/drake.equation at the pinned commit and indexes it on your machine.

Search the GitHub repository Mendiak/drake.equation with XERJ (https://hub.xerj.org/corpus/mendiak--drake-equation).
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/Mendiak/drake.equation drake.equation && git -C drake.equation checkout b9a8bc74fe6018ab94b68fb6dc877096eba0e33a
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./drake.equation --url http://127.0.0.1:9200 --prefix drake-equation --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: CC0-1.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.