Ryan rymalia

Deleted tweets for ComGopnitsa

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Deleted tweets for meatballsubzero

The list below includes 27950 deleted tweets by meatballsubzero.

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description

Interview me about the plan

argument-hint

plan

model

opus

Read this plan file $1 and interview me in detail using the AskUserQuestionTool about literally anything: technical implementation, UI & UX, concerns, tradeoffs, etc. but make sure the questions are not obvious.

name

plant-seed

Plant Seed Command

Plant ideas you want to tend - instant capture from context, with optional enrichment.

Create a production-ready, visually stunning website with a futuristic luxury travel theme.

GOAL Build a single-page (plus optional “Destination” detail route) website for a fictional brand: “AURORA LUXE TRAVEL” — ultra-premium, concierge-level trips.

TECH STACK (use exactly this unless something breaks)

Next.js (latest stable) + TypeScript
Tailwind CSS
Framer Motion (for scroll/entrance animations)


	/*
	the twitter api is stupid. it is stupid and bad and expensive. hence, this.

	Literally just paste this in the JS console on the bookmarks tab and the script will automatically scroll to the bottom of your bookmarks and keep a track of them as it goes.

	When finished, it downloads a JSON file containing the raw text content of every bookmark.

	for now it stores just the text inside the tweet itself, but if you're reading this why don't you go ahead and try to also store other information (author, tweetLink, pictures, everything). come on. do it. please?
	*/

	//there are issues with how we manage to skip pixels.
	//accounts are getting skipped.


	let following = []; // Initialize an empty array to hold all elements of people you follow
	let formattedFollowers = []
	const scrollInterval = 2000;
	const scrollStep = 2000; // Pixels to scroll on each step

	let previousFollowingCount = 0;

	/* Enhancements to the Twitter Scraping Script:

	This update to the script introduces a more robust mechanism for extracting detailed interaction data from tweets as they are scraped from Twitter. Previously, the script focused on collecting basic content such as the tweet's text. Now, it has been augmented to include a comprehensive extraction of interaction metrics, including replies, reposts, likes, bookmarks, and views, for each tweet.

	Key Changes:

	1. Improved Data Extraction:
	- The script now searches through all elements within a tweet that have an `aria-label` attribute, filtering for labels that contain key interaction terms (replies, reposts, likes, bookmarks, views). This ensures that only relevant `aria-labels` are considered for data extraction.

	2. Flexible Interaction Data Parsing:


	"""
	a simple script that reads tweets inside a json file, uses openai to compute embeddings and creates two files, metadata.tsv and output.tsv, which cam be used to visualise the tweets and their embeddings in TensorFlow Projector (https://projector.tensorflow.org/)
	"""

	# obtain tweets.json from https://gist.github.com/gd3kr/948296cf675469f5028911f8eb276dbc

	import pandas as pd
	import json
	from openai import OpenAI

	# /// script
	# requires-python = ">=3.12"
	# dependencies = [
	# "parakeet-mlx",
	# "sounddevice",
	# "rich",
	# ]
	# ///
	import queue