apkelly

import android.graphics.Typeface
import androidx.compose.foundation.Canvas
import androidx.compose.foundation.background
import androidx.compose.foundation.layout.BoxWithConstraints
import androidx.compose.foundation.layout.Column
import androidx.compose.foundation.layout.Row
import androidx.compose.foundation.layout.RowScope
import androidx.compose.foundation.layout.fillMaxHeight
import androidx.compose.foundation.layout.fillMaxWidth
import androidx.compose.runtime.Composable

handstandsam

import android.content.Context
import android.os.RemoteException
import com.android.installreferrer.api.InstallReferrerClient
import com.android.installreferrer.api.InstallReferrerStateListener
import com.android.installreferrer.api.ReferrerDetails
import kotlinx.coroutines.CompletableDeferred

/**
 * https://developer.android.com/google/play/installreferrer/library
 *

PSPanishetti

import android.content.Context
import android.hardware.Sensor
import android.hardware.SensorEvent
import android.hardware.SensorEventListener
import android.hardware.SensorManager
import androidx.compose.animation.ExperimentalAnimationApi
import androidx.compose.animation.core.animateFloatAsState
import androidx.compose.foundation.Image
import androidx.compose.foundation.background
import androidx.compose.foundation.layout.*

thelumiereguy

import androidx.compose.animation.core.*
import androidx.compose.foundation.Canvas
import androidx.compose.foundation.background
import androidx.compose.foundation.layout.BoxWithConstraints
import androidx.compose.foundation.layout.fillMaxSize
import androidx.compose.runtime.Composable
import androidx.compose.runtime.getValue
import androidx.compose.ui.Modifier
import androidx.compose.ui.geometry.Offset

surajsau

@Composable
fun ParallaxScreen(modifier: Modifier = Modifier) {
    val context = LocalContext.current
    val scope = rememberCoroutineScope()

    var data by remember { mutableStateOf<SensorData?>(null) }

    DisposableEffect(Unit) {
        val dataManager = SensorDataManager(context)
        dataManager.init()

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.