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esimdb.ai
AI-powered eSIM comparison — 15K+ plans, 195 countries
esimdb.ai is an AI-powered eSIM comparison tool for travelers. Just describe your trip in plain English and the AI instantly ranks the best mobile data plans. ✓ 15,000+ eSIM plans from 120+ providers ✓ Covers 195 countries worldwide ✓ Save 40–70% vs carrier roaming fees ✓ No signup required — completely free Perfect for digital nomads, backpackers & frequent travelers.
I built esimdb.ai because comparing eSIM plans was a painful spreadsheet exercise every trip. I wanted an AI that just understands plain English — tell it where you're going, it finds the best plan. 15,000+ plans indexed in real-time. No signup, no fees. Just the best eSIM for your trip.
esimdb.ai was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #146 on the daily leaderboard. esimdb.ai is an AI-powered eSIM comparison tool for travelers. Just describe your trip in plain English and the AI instantly ranks the best mobile data plans. ✓ 15,000+ eSIM plans from 120+ providers ✓ Covers 195 countries worldwide ✓ Save 40–70% vs carrier roaming fees ✓ No signup required — completely free Perfect for digital nomads, backpackers & frequent travelers.
esimdb.ai was featured in Travel (42.3k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 111.4k products, making this a competitive space to launch in.
Who hunted esimdb.ai?
esimdb.ai was hunted by Fazal ur Rehman Shah. 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.
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Fazal ur Rehman Shah