chickadee_studio
A desktop tool for detecting suspicious advertisements on public websites and reviewing detection evidence.
Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.
GITHUB · launched Oct 19, 2026 · 13 upvotes (top 83%) · 0 views
Niche: fraud and scam detection software · 138 launches, 18 in the last 7 days ▲ +20% · Explore this niche →
Category and tags
- Security
- Observability & eval
- B2B
Visit website ↗ Source listing ↗
Could you build this?
Partial The desktop UI, crawling, and evidence review are vibe-codeable. Reliably separating suspicious ads from benign ones requires ad-fraud and malvertising domain knowledge plus labeled examples.
What it would actually take: Build a headless-browser crawler (Playwright) that captures ad network requests, redirects, and iframe and script behavior, then a desktop UI to review evidence. The hard part is the detection heuristics or classifier, which need labeled malvertising data and security expertise to tune and keep current against adversaries.
Competitors
Other products that read as similar to this one : 766 launches clear the similarity bar, closest 8 shown.
Attention rank: #615 of 767 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 348 days after the earliest competitor.
- ads-blocker · github · 2026-11-04 · 139 upvotes · similarity 0.67
- Adboost · hn · 2026-02-02 · 128 upvotes · similarity 0.59
- NixThis · github · 2026-09-29 · 11 upvotes · similarity 0.57
- ads-blocker-desktop · github · 2026-11-02 · 33 upvotes · similarity 0.54
- genpark-automated-compliance-policy-evaluator-skill · github · 2026-09-14 · 7 upvotes · similarity 0.53
- Bb · hn · 2026-04-05 · 5 upvotes · similarity 0.52
- Bastion · github · 2026-10-22 · 57 upvotes · similarity 0.52
- The Front Page · hn · 2026-05-24 · 29 upvotes · similarity 0.51
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.