What’s around me
We use your location only for this page and never store it.
You’re at Šenovská 383/13, Ďáblice. Full address report →
The rings show 5, 10 and 15 minutes on foot as the crow flies; the real route is usually a bit longer.
How to get on from here
- U Spojů 2 min walk · bus 103, 202, 903
What’s around you
up to 5 min on foot
- Vlna Cafés 325 m ~ 4 min walk
- Bi Feng Tang Restaurants 327 m ~ 4 min walk
- Battistova cihelna Restaurants 436 m ~ 5 min walk
up to 10 min on foot
- U Vafle Bakeries and pastry shops 573 m ~ 7 min walk
- Aroma Kebab Fast food 586 m ~ 7 min walk
- Na Růžku Restaurants 600 m ~ 8 min walk
up to 5 min on foot
- Kasumi Dojo Sports grounds and pools 334 m ~ 4 min walk
up to 5 min on foot
- Dětské Hřiště Koníčkovo Náměstí Playgrounds 218 m ~ 3 min walk
- Vlna Playgrounds 316 m ~ 4 min walk
up to 10 min on foot
- Playgrounds 503 m ~ 6 min walk
- Playgrounds 614 m ~ 8 min walk
- Playground K Lomu Playgrounds 649 m ~ 8 min walk
- Venkovní Posilovna Červencová Playgrounds 723 m ~ 9 min walk
- Playground Červnová Playgrounds 761 m ~ 10 min walk
up to 15 min on foot
- Playgrounds 980 m ~ 12 min walk
- Playgrounds 1,210 m ~ 15 min walk
up to 10 min on foot
- Bala Corner shops, greengrocers, butchers 582 m ~ 7 min walk
Source: © OpenStreetMap contributors, ODbL licence.
Frequently asked questions
How does Around me work?
When you tap “Use my location”, your browser asks to share your position. We then show named places from OpenStreetMap and parks within a 15-minute walk, split into 5, 10 and 15 minutes, and the nearest metro, tram and train stops with their lines.
Do you store my location?
No. The position is rounded to about 10 metres, used only to show the page, and is never stored or written to logs.
How do you count walking minutes?
We count 80 metres as the crow flies per minute, the same as on every address report. The real route along the streets is usually a little longer, especially across the river or railway lines.
Does it work outside Prague?
Not yet: Around me uses Prague’s addresses, stops and places. We’ll add other cities once we have the same data for them.