Hours of manual prospecting, every morning.
The client's team started each day the same way: manually combing job boards, news feeds and directories for companies that might need their service — copying details into a spreadsheet, guessing at relevance. Slow, inconsistent, and impossible to scale.
- ~6 hours of manual research spread across the team, daily
- Inconsistent criteria — every person judged "good lead" differently
- Best prospects buried under hundreds of irrelevant results
- No way to scale without hiring more people
- Instead of manual research, the pipeline runs itself every morning
- One consistent, tunable scoring standard applied to every record
- Top 3 leads delivered straight to Telegram, ranked and explained
- Scales to new sources by changing a config — not headcount
Four stages, each doing the cheapest possible work first.
The key insight: never pay an API to look at noise. Each stage aggressively narrows the funnel, so expensive AI reasoning only ever touches records that already passed cheaper local checks. The result is near-zero running cost.
Scrape
Headless Chrome crawls 15+ sources daily, extracting structured data from JS-heavy sites.
Filter
A local Mistral model pre-screens every record, eliminating 80%+ of noise for free.
Evaluate
Claude scores the survivors against custom criteria and extracts the key signals.
Notify
The top-ranked leads arrive as a formatted message — company, score, direct link.
The funnel, live.
This is the real shape of a daily run. Watch thousands of raw records collapse into three leads worth a human's attention. Hit Run pipeline.
What changed for the client.
Inside the system.
Drop in your own screenshots — dashboard, Telegram delivery, scoring detail.
"We went from dreading the morning lead hunt to just checking Telegram over coffee. The quality is better than what we found by hand — and it never takes a day off."
Tech stack.
Have a workflow that eats your team's mornings?
If a task is repetitive, rule-based and data-heavy, it can probably run itself. Tell me about it — I'll reply with an honest assessment within 2 hours.
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