Building a deterministic job-intel pipeline with OpenClaw assist
A developer has built findmejobs, a standalone Python pipeline for job hunting operations. The core design principle is to keep it boring and auditable.
Pipeline architecture
The pipeline handles scraping, normalization, and ranking within the application itself. OpenClaw is used only for two specific tasks: profile bootstrap and sanitized review/drafting. This creates strict trust boundaries between the deterministic pipeline components and the AI-assisted components.
Technical implementation
The system features deterministic ranking and rerunnable stages. It uses a SQLite database and follows a CLI-first workflow. The current scope is single-operator and single-host, running on a secondhand 2014 Mac Mini alongside OpenClaw.
Deliberate limitations
The developer intentionally excluded several features from the current scope:
- LinkedIn/Easy Apply scraping
- Auto-apply functionality
- Browser automation
- Fake "AI magic" ranking (though this might be considered in the future)
The developer is seeking to compare notes with others who have built OpenClaw-assisted workflows with strict trust boundaries.
📖 Read the full source: r/openclaw
👀 See Also
OpenClaw Agent Burned $20 in API Tokens Due to Web Scraping Context Bloat
A developer building an OpenClaw agent to monitor financial sites accidentally consumed $20 worth of API tokens in a few hours by fetching Yahoo Finance pages that included 609,000 tokens of extraneous HTML like nav bars and cookie banners in the context window.
OpenClaw user shares macOS desktop automation setup with Discord integration
A developer describes their OpenClaw configuration that enables Discord communication, website opening, local state inspection, screen capture, and desktop automation on macOS, noting macOS permission challenges with Screen Recording when running as a LaunchAgent.
Deep Research Reports with Hermes Agent and Qwen3.6-35b-a3b: A Practical Walkthrough
A social researcher shares their workflow using Hermes Agent and qwen3.6-35b-a3b Q6_K to produce 21-page policy reports autonomously, with full repo of prompts, skills, and intermediate artifacts.
Cheap OpenClaw Setup: $5/mo Hetzner VPS + DeepSeek API for Under $1
A Reddit user shares a practical OpenClaw setup using a $5/mo Hetzner VPS, DeepSeek API ($5 credit), Telegram bot, Grafana, and Netdata — all costing about $1 so far.