Alternatives
Products that do what Spork does
One tap. One restaurant. No overthinking.
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My partner and I (ex-Googlers) plan our trips around food as a way to connect with local culture. Before every trip, we'd spend hours digging through Reddit threads and local blogs, filtering out sponsored noise to find places worth eating. So we built CuriousSpoon, a food guide we could actually trust. *Why ratings fail* - 51% of negative reviews cite service, only 31% cite food [1] - Google removed 170M fake reviews in 2023; Harvard found 16% are suspicious [2] *What we built instead* An engine that does what a local food nerd does: reads city newspapers, local critics, subreddits, chef…
Dec 2025 · curiousspoon.app
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This is my MVP. It's not quite really ready to unleash, but what the heck. http://cilantrosites.com SHORT PITCH: About.me for restaurants LONGER PITCH: Single-page websites for restaurants that don't suck. Instant setup. Hours, map, menu, contact/social, email list, mobile version. No Flash. No PDFs. KNOWN ISSUES: (a) can add menu items but not edit/del. (b) additional settings (mainly domain mapping) are turned off (c) if you're editing colors, make sure to scroll to the top of the page, (d) many others FEEDBACK WELCOME: I have tough skin. Also, I know much of the design is average. I have…
2011
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Hey HN! I built this over the weekend. It is basically an extremely rudimentary crowd sourced recommendation system for anything in any city. I know that I could easily look this information up on Yelp but I thought it might be nicer to simply look up something like "the best steak in new york" and get that information. The database is almost empty but if you look up the "best coffee in ann arbor" you'll get a result which I seeded. Go ahead and contribute what you can. Ill be adding CAPTCHAs soon to prevent spammers. Here is the link: http://www.krowd.me
2011
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2022 · getgwak.com
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2017 · dishesnearby.com
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2024 · askbutler.ai
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I recently built an iOS app called Settld: Group Restaurant Finder that helps friends decide where to meet by finding restaurants that are roughly equally far from everyone’s location, and displaying information about them. We’ve all been in chaotic group chats where no one can agree on where to eat — this app cuts through that by calculating a “sweet spot” for the group. For 2 people, it’s the midpoint. For 3 people, it’s the circumcenter. For 4–6 people, it uses a minimum enclosing circle approach (Welzl’s algorithm). It then shows the top 15 nearby options so there’s no more “where do we…
2025 · settld.space
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