Hipster Coffee Finder

Paste an address from Google Maps, find the most hipster cafe nearby.

This actor searches Google Maps for open cafes near your address, sends each one to an AI for a hipsterness rating, and hands you back a ranked list -- the spots with the single-origin pour-overs, the exposed brick, and the reviews that say "hidden gem."

Quick start

{
    "location": "11266 Donner Pass Rd, Truckee, CA 96161"
}

Paste an address and hit Start. You'll get a ranked list of hipster cafes in the Output tab.

How it works

Address from Google Maps
      |
      v
 [Google Maps Scraper]  ──>  search "cafe" near address, up to 10 results
      |
      v
 [Category filter]  ──>  keep only actual cafes
      |
      v
 [Distance filter]  ──>  keep only cafes within walking distance
      |
      v
 [OpenRouter LLM x N]  ──>  one AI call per cafe, scored 0-100
      |
      v
 [Final ranking]  ──>  all scored cafes  ──>  default dataset

1. Google Maps search -- Passes your address directly to the Google Maps Scraper as a location query and searches for "cafe". This works exactly like typing "cafe" into Google Maps near that address. Closed places are excluded. Up to 10 results.

2. Category filter -- Removes non-cafe results by checking each place's Google Maps category. Only places categorized as cafes, coffee shops, bakeries, or similar are kept.

3. Distance filter -- Keeps only cafes within your walking distance limit (default 1 km). Walking distance is estimated as 1.3x the straight-line distance. The address is geocoded to coordinates for this calculation.

4. AI hipsterness rating -- Each cafe is sent to an LLM via the OpenRouter Standby API. The model sees the name, category, rating, review snippets, and additional info, then returns a 0-100 hipster score with a one-sentence explanation. All cafes are evaluated in parallel. If a cafe's evaluation fails, it is excluded rather than guessed.

5. Final ranking -- A final score is computed for each cafe and all scored results are returned, ranked best first.

Input

Field	Type	Required	Default	Description
location	String	Yes	--	Address from Google Maps (e.g. "11266 Donner Pass Rd, Truckee, CA 96161")
maxWalkingDistanceKm	Number	No	1	Only return cafes within this walking distance (km)

Examples

Default (1 km radius):

{
    "location": "Shibuya, Tokyo"
}

Larger radius:

{
    "location": "350 5th Ave, New York, NY 10118",
    "maxWalkingDistanceKm": 3
}

Output

Results are saved to the default dataset. The Output tab shows a table with rank, name, scores, reason, rating, distance, address, and a clickable Google Maps link.

Field	Type	Description
rank	Integer	1 = most hipster
title	String	Cafe name
hipsterScore	Integer	AI-assigned hipsterness (0-100)
hipsterReason	String	Why the AI gave that score
finalScore	Integer	Blended ranking score (0-100)
googleRating	Number	Google Maps stars (0-5)
reviewsCount	Integer	Number of Google reviews
estimatedWalkingDistanceKm	Number	Walking distance from your address (km)
address	String	Full street address
categoryName	String	Google Maps category
location	Object	{ lat, lng } of the cafe
website	String	Cafe website
phone	String	Phone number
googleMapsUrl	String	Direct Google Maps link

Example

[
    {
        "rank": 1,
        "title": "Wild Cherries Coffee House",
        "hipsterScore": 68,
        "hipsterReason": "An indie coffee house with live music, organic/vegan offerings, local specialty focus, and a devoted local following.",
        "finalScore": 74,
        "googleRating": 4.6,
        "reviewsCount": 342,
        "estimatedWalkingDistanceKm": 0.82,
        "address": "11429 Donner Pass Rd, Truckee, CA 96161",
        "categoryName": "Coffee shop",
        "location": { "lat": 39.3278, "lng": -120.1893 },
        "website": "https://wildcherriescoffeehouse.com",
        "phone": "+1-530-550-9013",
        "googleMapsUrl": "https://www.google.com/maps/place/..."
    }
]

How the final score works

Each cafe gets a final score (0-100) that determines the ranking. It blends three signals:

Weight	Signal	Source	Normalization
50%	Hipster score	LLM rates the cafe 0-100 based on name, reviews, and metadata	score / 100
30%	Google rating	Average star rating on Google Maps (0-5)	rating / 5 (default 3 if missing)
20%	Proximity	Estimated walking distance from your address	1 at 0 km, 0 at the max distance

finalScore = round( (hipster * 0.5  +  rating * 0.3  +  proximity * 0.2) * 100 )

What makes a cafe "hipster"?

The LLM considers: specialty/third-wave coffee (single origin, pour-over, cold brew), artisanal food (house-made pastries, oat milk, avocado toast), aesthetic (exposed brick, reclaimed wood, vinyl, plants), indie vibes (local art, zine racks, coworking-friendly), and keywords in reviews like "hipster", "artisan", "latte art", or "hidden gem."

Cost

Service	Per run
Google Maps Scraper	~$0.05-$0.20
OpenRouter LLM (up to 10 parallel calls)	~$0.01-$0.05
Total	typically under $0.50

Limitations

• Walking distance is approximate -- 1.3x straight-line (Haversine), not actual walking directions.
• Closed places are excluded by the scraper's skipClosedPlaces flag. In rare cases a recently-closed cafe may still appear.
• Hipster scores depend on reviews -- cafes with few or no reviews get conservative estimates.
• Address geocoding uses OpenStreetMap Nominatim for distance calculation. Very obscure addresses may not resolve precisely.