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).
Screenshots are where discounts go to die. Snag 2.0 rescues them. What's new in this launch: • Now Live on iOS & Android (Native KMP) • Share Sheet Native: Beam voucher screenshots directly from photos or browser • Tap-to-Map OCR: Auto-extract promo codes & expiry dates from tricky fonts • Expiry Radar: Timely nudges before deals lapse • 100% Private: Offline-first SQLite. Zero cloud, no logins, no ads
Hey Product Hunt! 👋
Dinesh here, solo indie developer behind Snag.
About five months ago, I posted an early Android-only build of Snag. It was rough around the edges, but the premise was simple: stop letting coupon screenshots quietly expire in photo galleries.
Since that post, I've spent the last few months rebuilding the app from the ground up:
- Snag is now live on both iOS and Android (built natively with Kotlin Multiplatform).
- Added a native Share Extension so you can beam screenshots directly from your camera roll or browser without opening the app first.
- Built "Tap-to-Map" OCR: if a promo image has weird branding or fonts, you can literally tap the visual text box on the screenshot to populate the code or expiry date.
- Redesigned the entire UI with Organic Minimalism and dark glassmorphism so it's clean, snappy, and distraction-free.
- Kept the core promise intact: 100% on-device, offline-first, no logins, no ads, and zero cloud data collection.
One fun technical rabbit hole on this release: tuning on-device OCR to parse international expiry date formats ("DD/MM", "MM/DD", "Valid thru Sunday", "Expires end of month") across localized screenshots without pinging an external LLM API took dozens of regex iterations and edge-case handling. Keeping it fast, local, and private was worth every headache.
I'd love for you to try it on your oldest coupon screenshot.
Quick question for the makers and savers here: What’s the single most frustrating thing about how you currently store discount codes, gift cards, or receipts?
Appreciate any honest feedback, bug reports, or ideas!
🔗 App Store: https://apps.apple.com/us/app/sn...
🔗 Google Play: https://play.google.com/store/ap...
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About Snag 2.0: Save $100+ in lost vouchers on Product Hunt
“Private coupon tracker: offline, fast, zero cloud”
Snag 2.0: Save $100+ in lost vouchers was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #146 on the daily leaderboard. Screenshots are where discounts go to die. Snag 2.0 rescues them. What's new in this launch: • Now Live on iOS & Android (Native KMP) • Share Sheet Native: Beam voucher screenshots directly from photos or browser • Tap-to-Map OCR: Auto-extract promo codes & expiry dates from tricky fonts • Expiry Radar: Timely nudges before deals lapse • 100% Private: Offline-first SQLite. Zero cloud, no logins, no ads
Snag 2.0: Save $100+ in lost vouchers was featured in Android (57.6k followers), iOS (110.8k followers), Productivity (661.2k followers) and Money (4.7k followers) on Product Hunt. Together, these topics include over 254.2k products, making this a competitive space to launch in.
Who hunted Snag 2.0: Save $100+ in lost vouchers?
Snag 2.0: Save $100+ in lost vouchers was hunted by DINESH S. 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 Snag 2.0: Save $100+ in lost vouchers stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
DINESH S