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javlonbek1233/cafespot

★ 39TypeScriptAudience · vibe coderComplexity · 1/5Setup · easy

TLDR

A TypeScript app exported from Google AI Studio that runs locally with a Gemini API key, with no README description of what the cafe-themed UI actually does.

Mindmap

mindmap
  root((CafeSpot))
    Inputs
      Gemini API key
      User UI actions
    Outputs
      Gemini responses
      Rendered UI
    Use Cases
      AI Studio export demo
      Local Gemini app
      Cafe app starter
    Tech Stack
      TypeScript
      Node
      Gemini
      AI Studio
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Code map

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Things people build with this

USE CASE 1

Run a Google AI Studio export of a cafe-themed app on your own machine.

USE CASE 2

Plug in a Gemini API key and try the app locally to discover what it does.

USE CASE 3

Use the scaffold as a starting point for your own Gemini-backed TypeScript app.

USE CASE 4

Study the AI Studio export structure to learn the boilerplate it produces.

Tech stack

TypeScriptNodeGeminiAI Studio

Getting it running

Difficulty · easy Time to first run · 5min

Needs Node.js and a Gemini API key in .env.local, the README does not describe what the app does.

In plain English

CafeSpot is a small TypeScript project that the author generated using Google AI Studio, the web tool that lets you build an app by describing it to Gemini and then export the source code. The repository description is just "CafeSpot" and the README does not say what the app does, so the actual purpose, screens, and features are not documented anywhere in the source notes that come with the repo. From the name you might guess something cafe related, but that is a guess, not a statement from the README. The README is essentially a launcher note. It says the project has everything needed to run the app on your own computer, and it links back to the original AI Studio project page where the same app can be viewed online. To run it locally you need Node.js installed. The three steps are: install dependencies with npm install, open the .env.local file and paste your own Gemini API key into the variable named GEMINI_API_KEY, then start the development server with npm run dev. The Gemini key is required because the app calls Google's Gemini model at runtime. There is nothing else in the README. No screenshots, no feature list, no usage examples, no deployment guide beyond the AI Studio link, and no license note. To understand what the app shows or does you would need to open the source files or run it and try it out in the browser.

Copy-paste prompts

Prompt 1
Clone CafeSpot, run npm install, set GEMINI_API_KEY in .env.local, and start the dev server.
Prompt 2
Open the CafeSpot source files and tell me what the UI actually shows since the README is silent.
Prompt 3
Show me where CafeSpot calls the Gemini SDK and how to swap the model.
Prompt 4
Take the AI Studio export pattern from CafeSpot and adapt it to a different cafe-finder prompt.
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