This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
PDPR
Public registry exposing manipulative UX & deceptive design.
A public registry of dark patterns and deceptive UX tricks — explained simply, neutrally, and ethically, with privacy-first scanning. Core Features: • Offline-first PWA. • Explainable detection logic. • Zero user tracking. • Local-only scanning. • Transparent methodology. • Open governance. Privacy-First • No Tracking • No Ads • Open Governance
Hey Product Hunt! 👋
I'm the maker behind PDPR, and I built this because I was tired of feeling manipulated by the apps and websites I use every day — and realizing most people can't even name the tactics being used against them.
Dark patterns aren't just "bad UX." They're deliberate psychological manipulation:
- Fake urgency that makes you buy things you don't need.
- Hidden costs revealed at the last second.
- Cancellation flows designed to make you give up.
- Guilt-based persuasion to keep you subscribed.
- Forced consent with no real opt-out.
The problem? There's no central, trustworthy resource to learn about these patterns. And the few tools that exist either track you, require logins, or are buried behind paywalls.
So I built PDPR with three non-negotiables:
1. 🔒 Privacy First — No tracking, no cookies, no data collection. All scanning happens locally.
2. 📖 Open & Transparent — Public registry, open methodology, community-reviewed patterns.
3. 🧭 Ethical by Design — We have an Ethics Constitution. We don't just expose dark patterns; we prevent our own tool from becoming one.
🎯 What PDPR does:
• Public Registry — Browse documented dark patterns with psychology, examples, and defenses.
• Quick Scan — Paste any UI copy or text to detect manipulation patterns instantly.
• Learn Mode — Build long-term digital immunity through education.
• Open Governance — Community review, expert advisory, transparent updates.
🎯 Who it's for:
• Everyday users who want to recognize manipulation.
• UX designers building ethical interfaces.
• Journalists reporting on deceptive design.
• Regulators needing evidence-backed references.
• Educators teaching digital literacy.
🎯 What I'm looking for today:
• Feedback on pattern detection accuracy.
• Suggestions for new dark patterns to document.
• Thoughts on the Ethics Constitution.
• Ideas for the Learn Mode curriculum.
Try it at pdpr.lyfmail.com — paste some UI copy from a subscription page and see what PDPR finds.
Happy to answer any questions. Thanks for checking it out! 🙏
PDPR was submitted on Product Hunt and earned 5 upvotes and 2 comments, placing #66 on the daily leaderboard. A public registry of dark patterns and deceptive UX tricks — explained simply, neutrally, and ethically, with privacy-first scanning. Core Features: • Offline-first PWA. • Explainable detection logic. • Zero user tracking. • Local-only scanning. • Transparent methodology. • Open governance. Privacy-First • No Tracking • No Ads • Open Governance
PDPR was featured in Open Source (68.6k followers), User Experience (366.6k followers), Privacy (11.2k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 77.1k products, making this a competitive space to launch in.
Who hunted PDPR?
PDPR was hunted by AJAY K C. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how PDPR stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
AJAY K C