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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
ResQPlate
AI-Powered Food Rescue: Snap a photo, save a meal in 60s.
ResQPlate is a high-speed logistics platform fighting food waste. Built with Groq LPU inference for sub-200ms matching, it uses Vision AI to identify surplus food and Gemini-powered agents to connect donors with volunteers instantly. Features a 99/100 mobile performance score, real-time tracking, and high-fidelity 3D analytics for maximum community impact.
"Hi everyone! I’m Salony, a final-year CSBS engineer. I built ResQPlate because I saw a gap between surplus food and those who need it most. Most platforms are too slow—so I used Groq's LPU technology and Gemini AI to make the donation process take less than 60 seconds.
I focused heavily on performance, achieving a 99/100 PageSpeed score, so it works even on low-bandwidth mobile networks. I’d love to hear your feedback on the AI matching logic or the UI!
Check out the repo, and if you support the mission, a ⭐ would mean a lot! 🌿🚀"
About ResQPlate on Product Hunt
“AI-Powered Food Rescue: Snap a photo, save a meal in 60s.”
ResQPlate was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #137 on the daily leaderboard. ResQPlate is a high-speed logistics platform fighting food waste. Built with Groq LPU inference for sub-200ms matching, it uses Vision AI to identify surplus food and Gemini-powered agents to connect donors with volunteers instantly. Features a 99/100 mobile performance score, real-time tracking, and high-fidelity 3D analytics for maximum community impact.
On the analytics side, ResQPlate competes within Open Source, Artificial Intelligence, GitHub and Social Impact — topics that collectively have 582k followers on Product Hunt. The dashboard above tracks how ResQPlate performed against the three products that launched closest to it on the same day.
Who hunted ResQPlate?
ResQPlate was hunted by Salony Ranjan. 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 ResQPlate including community comment highlights and product details, visit the product overview.