Finding newsletter sponsors usually means cold-pitching companies and hoping one says yes. SponsorDB flips that: it's a database of 300+ companies that have already paid to sponsor newsletters, with verified contact info for each one. Filter by niche or audience size, see exactly who's spending in your space, and send a personalized pitch - drafted for you - in seconds.
Other databases mix YouTube, podcast, and newsletter sponsors from generic scrapes. SponsorDB is newsletter-only - every sponsor has verifiably sponsored a real newsletter. We also draft your pitch email instantly, personalized to your audience and their sponsorship history (competitors just give you an old ad-copy library). Contacts are verified deliverable, and the database grows itself daily via automated scraping.
How did Astra change the scope or ambition of what you built?
Maker
AI helped me develop this product quite a bit. Utilizing both OpenAI models and Anthropic models to achieve all user requests with great detail.
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Maker
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Hey everyone!
I'm Jacob - solo builder of SponsorDB.
I started this because finding real newsletter sponsors was genuinely painful: either cold-pitching companies blind and hoping, or paying for lists that were more guesswork than data. So I built a database of sponsorships that actually, verifiably happened - real contacts attached - and it's been growing daily (300+ so far) via an automated scraper, not manual curation.
The part I'm most excited about: once you find a sponsor, SponsorDB drafts the actual outreach email for you, personalized to your newsletter's own stats. No more staring at a blank compose window wondering what to say.
I'm the only person working on this, so your feedback genuinely shapes what gets built next. If you try it, I'd love to know:
- What's confusing or missing?
- What would make you trust the data more?
- What's the one feature that'd make you come back?
Drop a comment or DM me directly - I'll personally reply to every one. Thanks for checking it out.