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Flipns
Bring your local shop online. Reach buyers nearby.
Buy, sell, and explore local products. Bring your shop online with AI-assisted listings, a shareable catalogue, and nearby discovery. Built with GPT-6 Astra to connect offline sellers with online buyers.
I built Flipns with GPT-6 Astra across the whole product: a marketplace that helps offline sellers bring their shop online and reach buyers nearby. GPT-5.6 Sol also contributed to development.
The problem is practical: a local shop can have great products and still be hard to discover online. Flipns connects the steps a seller needs in one place:
• Create an editable product draft with AI listing assistance. • Build a catalogue and share a public seller profile. • Help nearby buyers explore products and their details. • Connect buyers and sellers directly through conversations.
Astra helped me develop the seller and buyer experiences, the backend workflows, and the engineering that connects them. The ambition was to build a complete local-commerce experience, from getting a product online to helping someone nearby discover it.
You can see the result at flipns.com. The gallery includes a real Sell chat interaction: I described my Canon camera, supplied the price and location, and received a structured draft to review and edit. The public profile at flipns.com/u/arvind shows the catalogue and product-discovery side. Catalogue import is another AI-assisted path for bringing products online.
The build also involved the less visible work that makes a marketplace useful. For example, Astra helped diagnose a Cloudflare image transformation failure, implement a targeted original-image fallback, and add six passing regression tests. That is one concrete engineering example within the wider product build.
OpenAI models, including GPT-5.6 Luna, support listing assistance and catalogue import inside Flipns. The development tools and the app's runtime models have different roles.
If you run a local shop, what would make bringing your catalogue online easier? If you buy locally, what helps you decide to contact a seller? I'd love your feedback.
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About Flipns on Product Hunt
“Bring your local shop online. Reach buyers nearby.”
Flipns was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #21 on the daily leaderboard. Buy, sell, and explore local products. Bring your shop online with AI-assisted listings, a shareable catalogue, and nearby discovery. Built with GPT-6 Astra to connect offline sellers with online buyers.
Flipns was featured in Artificial Intelligence (479.1k followers), E-Commerce (41.9k followers), Shopping (1.6k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 145.9k products, making this a competitive space to launch in.
Who hunted Flipns?
Flipns was hunted by Arvind Sangwan 🇮🇳. 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 Flipns stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Arvind Sangwan 🇮🇳
Hi Product Hunt! I'm Arvind, the maker of Flipns.
I built Flipns with GPT-6 Astra across the whole product: a marketplace that helps offline sellers bring their shop online and reach buyers nearby. GPT-5.6 Sol also contributed to development.
The problem is practical: a local shop can have great products and still be hard to discover online. Flipns connects the steps a seller needs in one place:
• Create an editable product draft with AI listing assistance.
• Build a catalogue and share a public seller profile.
• Help nearby buyers explore products and their details.
• Connect buyers and sellers directly through conversations.
Astra helped me develop the seller and buyer experiences, the backend workflows, and the engineering that connects them. The ambition was to build a complete local-commerce experience, from getting a product online to helping someone nearby discover it.
You can see the result at flipns.com. The gallery includes a real Sell chat interaction: I described my Canon camera, supplied the price and location, and received a structured draft to review and edit. The public profile at flipns.com/u/arvind shows the catalogue and product-discovery side. Catalogue import is another AI-assisted path for bringing products online.
The build also involved the less visible work that makes a marketplace useful. For example, Astra helped diagnose a Cloudflare image transformation failure, implement a targeted original-image fallback, and add six passing regression tests. That is one concrete engineering example within the wider product build.
OpenAI models, including GPT-5.6 Luna, support listing assistance and catalogue import inside Flipns. The development tools and the app's runtime models have different roles.
If you run a local shop, what would make bringing your catalogue online easier? If you buy locally, what helps you decide to contact a seller? I'd love your feedback.