Buyer-fit research
Prospects are selected from public websites, directories, GitHub, job posts, product pages, and visible service positioning.
I build a vetted prospect list with public-source fit signals, workflow pain indicators, and first-touch message angles so founders and agencies can sell without buying a scraped inbox dump.
Prospects are selected from public websites, directories, GitHub, job posts, product pages, and visible service positioning.
Each row includes why the prospect fits, what workflow pain is visible, and what offer angle is most credible.
Short, one-off outreach drafts are written for manual review and sending by the buyer, with no fake relationship claims.
The starter exists for proof-of-work. The main value is a researched, segmented pipeline that can support a paid outbound sprint or white-label agency offer.
Paid proof
Focused pipeline
Sales sprint pack
White-label growth pack
This offer is intentionally narrow: research, segmentation, and draft copy for careful manual outreach.
A public website, public profile, public directory, GitHub project, job post, product page, or public service page that shows buyer fit.
Your offer, ideal buyer, geography or language constraints, disallowed industries, and any public sources to prioritize or avoid.
No automated sending, deliverability setup, inbox warming, private enrichment, purchased personal contact dumps, or guaranteed replies.
This is research and copy support for lawful manual outreach. It is not a scraping bot, lead resale dump, or inbox automation service.