It started with a small, recurring frustration. Every time I wanted to get out of the house to focus, take a call, or meet a friend, I'd lose half an hour across Maps, reviews, and Reddit guessing the wifi and the vibe, then show up to find every outlet taken. A cafe, library, or quiet corner is a 'third place,' and what you need from it changes by the day. So instead of ten tabs, ThirdPass is one: say how you want to spend your time, filter for what matters, and get a real feel for each spot.
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Maker
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ThirdPass started from a small, recurring frustration, the kind that quietly eats your time. Whenever I wanted to get out of the house, to focus, take a call, read for an hour, or just meet a friend, I'd lose thirty minutes before I even left. Open Maps for hours and photos, dig through reviews to guess whether the wifi holds, hunt for a Reddit thread on whether they mind you lingering. Then I'd show up anyway to find every outlet taken, or it was too loud to think, or it just wasn't the place I'd hoped for.
I kept thinking there had to be an easier way. The idea behind ThirdPass is simple: a cafe (or a library, a hotel lobby, a POPOS, a quiet corner) is a "third place," not home and not the office, and what you need from it changes by the day. So instead of ten tabs, it's one. You say how you want to spend your time, filter for what matters (outlets, quiet, outdoor seating, room to settle in), and get a real feel for each spot on a list or a map. Cafes are free to walk into; for coworking you can grab a day pass right in the app(V2). The whole point is to take a small, everyday friction and just make it easier.
One part I'm genuinely fond of: if you find a place you love that isn't here yet, you can nominate it. That puts it on the map for the next person and nudges us to reach out and help the owner get set up. So many of the best spots are the ones only locals know, and I wanted those to spread the way a good recommendation does. There's an owner side too: any place can list itself in about five minutes (photos, hours, amenities, wifi), free, with no subscription, no per-visit fee, and no revenue share.
An honest note on where it stands: it's early, and plenty is still rough. iOS only for now, with Android coming soon. The map is worldwide, but listings are densest in SF since that's where I'm starting. I don't come from a software background; I'm a civil engineer teaching myself to build this, because the problem wouldn't let me go and I wanted to make life a little easier for people who just need a good place to land. I'm sure there's plenty I've gotten wrong, and I'd genuinely welcome an honest outside eye.
-I'd love to hear where you'd take it:
- What would you want added or solved next?
- Which feature would make it a daily driver for you?
- Any integrations you'd want to see (calendar, APIs, and so on)?
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I‘ve definitely spent too much time searching for a "good place to work." How does ThirdPass determine things like whether a cafe is quiet, has enough outlets, or is good for staying and working for a while? Is it based on user reports, owner-submitted info, or some other signals?
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Maker
@evakk Totally, that search is the whole reason this exists. To your question:
It's less about "is it quiet this very second" and more about the character of a place: quiet seating, outlets you can actually reach, room to settle in for a few hours, wifi, outdoor space. Those come from a structured listing form. When a place lists or claims its spot, the owner answers that exact set of questions, so each attribute is declared at the source rather than guessed.
What keeps it honest is that those claims don't just sit there unchecked. People who've actually been can vet them through the feedback and community section (my personal n fav) side. If a listing says "quiet" but it's blasting music at noon, that surfaces and gets corrected by the people who were there.
It's genuinely early, so right now the vetting is simple: owner-declared, community-corrected. Your question is a good nudge. In the next version I want to make that smarter, turning the community feedback into a more structured, weighted signal so a listing self-corrects over time instead of waiting on someone to flag it. Thanks for this, it's exactly the kind of thing I'm trying to get right.
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Maker
@evakk One thing I left out that's actually central to the vetting:
There's a nomination section, and putting up a place isn't just dropping a pin. You have to say why you like it: pet-friendly, good wifi, quiet, easy to grab a table, whatever made it work for you. So those reasons become small structured signals on their own. If a handful of people nominate the same cafe and most of them tag "great wifi" and "dog-friendly," that says a lot more than a single owner checkbox ever could.
It does two things at once: it surfaces the spots only locals know about, and it builds the attribute picture from people who actually spent time there, not just from the listing form. Right now those reasons are fairly lightweight, but they're exactly the raw material I want to lean on for the smarter, self-correcting vetting I mentioned. Early days, but that's the direction.
I‘ve definitely spent too much time searching for a "good place to work." How does ThirdPass determine things like whether a cafe is quiet, has enough outlets, or is good for staying and working for a while? Is it based on user reports, owner-submitted info, or some other signals?
@evakk Totally, that search is the whole reason this exists. To your question:
It's less about "is it quiet this very second" and more about the character of a place: quiet seating, outlets you can actually reach, room to settle in for a few hours, wifi, outdoor space. Those come from a structured listing form. When a place lists or claims its spot, the owner answers that exact set of questions, so each attribute is declared at the source rather than guessed.
What keeps it honest is that those claims don't just sit there unchecked. People who've actually been can vet them through the feedback and community section (my personal n fav) side. If a listing says "quiet" but it's blasting music at noon, that surfaces and gets corrected by the people who were there.
It's genuinely early, so right now the vetting is simple: owner-declared, community-corrected. Your question is a good nudge. In the next version I want to make that smarter, turning the community feedback into a more structured, weighted signal so a listing self-corrects over time instead of waiting on someone to flag it. Thanks for this, it's exactly the kind of thing I'm trying to get right.
@evakk One thing I left out that's actually central to the vetting:
There's a nomination section, and putting up a place isn't just dropping a pin. You have to say why you like it: pet-friendly, good wifi, quiet, easy to grab a table, whatever made it work for you. So those reasons become small structured signals on their own. If a handful of people nominate the same cafe and most of them tag "great wifi" and "dog-friendly," that says a lot more than a single owner checkbox ever could.
It does two things at once: it surfaces the spots only locals know about, and it builds the attribute picture from people who actually spent time there, not just from the listing form. Right now those reasons are fairly lightweight, but they're exactly the raw material I want to lean on for the smarter, self-correcting vetting I mentioned. Early days, but that's the direction.