Ethereum_speed_run
gonzalolater/Ethereum_speed_run (code)
A new way for AI to search for data
2GitHub stars
3commits on master
0forks
What XERJ indexed
Selected work

Licence
The repository
NONE
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
NONE, with credit
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. 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
The prompt
Paste it into your AI agent. It clones gonzalolater/Ethereum_speed_run at the pinned commit and indexes it on your machine.
Search the GitHub repository gonzalolater/Ethereum_speed_run with XERJ (https://hub.xerj.org/corpus/gonzalolater--ethereum-speed-run). 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/gonzalolater/Ethereum_speed_run Ethereum_speed_run && git -C Ethereum_speed_run checkout 71d4543c85d5d403915f839d37c89c0f08f1d14d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Ethereum_speed_run --url http://127.0.0.1:9200 --prefix ethereum-speed-run --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: check the LICENSE file. Keep the copyright notice and credit the authors.
Related
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Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.