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Dang!
Upload a contract and see the risks in plain English
Upload any contract — a lease, job offer, or freelance agreement. Dang! scans every clause, flags the risks, and explains what matters in plain English. You get a risk score, clause highlights, and what to ask before you sign. AI helps with extraction, but scoring is deterministic — same contract, same score. Supports leases, employment offers, freelance deals, vendor contracts, and more. First scan free. $6.99 per report. No account needed.
Hey Product Hunt — I'm Mircea, founder of Dang!
I built Dang! because too many people sign important contracts without really understanding what's buried in them. Leases, job offers, and freelance agreements are easy to skim and hard to interpret when you're moving fast.
Upload a contract, and Dang! gives you a plain-English risk report in about 30 seconds — including a risk score, clause highlights, explanations of what matters, and what to ask before you sign.
What matters most to me is that this isn't just "throw your doc into AI and hope for the best." AI helps read and explain the contract, but the analysis is structured and consistent underneath.
Your first scan is free. Full report is $6.99. No account needed.
Would genuinely love your feedback — especially if you've recently signed a lease, offer letter, or freelance agreement.
About Dang! on Product Hunt
“Upload a contract and see the risks in plain English”
Dang! was submitted on Product Hunt and earned 4 upvotes and 3 comments, placing #69 on the daily leaderboard. Upload any contract — a lease, job offer, or freelance agreement. Dang! scans every clause, flags the risks, and explains what matters in plain English. You get a risk score, clause highlights, and what to ask before you sign. AI helps with extraction, but scoring is deterministic — same contract, same score. Supports leases, employment offers, freelance deals, vendor contracts, and more. First scan free. $6.99 per report. No account needed.
On the analytics side, Dang! competes within Productivity, Legal and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Dang! performed against the three products that launched closest to it on the same day.
Who hunted Dang!?
Dang! was hunted by Mircea Draghici. 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.
For a complete overview of Dang! including community comment highlights and product details, visit the product overview.
Mircea Draghici