beatwad

Corpus Hub contributor since 2026-10-22

beatwad's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

5files

230lines

★ 180GitHub stars on repo

Totals across every corpus @beatwad appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the LinkedIn-AI-Job-Applier-Ultimate corpus

beatwad/LinkedIn-AI-Job-Applier-Ultimate: AI-powered LinkedIn and Indeed job application bot with Playwright automation, LLM integration, data anonymization, and Telegram reporting.

Look up how LinkedIn-AI-Job-Applier-Ultimate implements ai, application-resume, automation, with answers cited to file and line.
Reuse a worked example: the commit “Update easy applier to match with new LinkedIn UI” (5 files · Python).
Answer from LinkedIn-AI-Job-Applier-Ultimate's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does LinkedIn-AI-Job-Applier-Ultimate handle “Update easy applier to match with new LinkedIn UI”?
How does LinkedIn-AI-Job-Applier-Ultimate implement ai?
What does src/job_manager do in LinkedIn-AI-Job-Applier-Ultimate?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository beatwad/LinkedIn-AI-Job-Applier-Ultimate with XERJ (https://hub.xerj.org/corpus/beatwad--linkedin-ai-job-applier-ultimate).
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/beatwad/LinkedIn-AI-Job-Applier-Ultimate LinkedIn-AI-Job-Applier-Ultimate && git -C LinkedIn-AI-Job-Applier-Ultimate checkout a0cffc6c8e13ae907dabb0aa0996f7b77e572597
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./LinkedIn-AI-Job-Applier-Ultimate --url http://127.0.0.1:9200 --prefix linkedin-ai-job-applier --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.

corpus beatwad--linkedin-ai-job-applier-ultimate · AI, prompts and agents
Related corpora: griptape, caldera, ThePlator/JobRadar, youssefsaoud/dev-job-radar
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 180

beatwad/LinkedIn-AI-Job-Applier-Ultimate

a0cffc6c8e Update easy applier to match with new LinkedIn UI

selected commit: 5 files · 230 lines · Python · src/job_manager, tests, src/llm

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus beatwad--linkedin-ai-job-applier-ultimateAIMITaiapplication-resumeautomationgeminigptjob-search agreed 2026-10-22

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/beatwad/badge.svg)](https://hub.xerj.org/contributors/beatwad)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.