Gary Frederick (@imthaghost)
  • Stars
    star
    1,457
  • Global Rank 21,340 (Top 0.8 %)
  • Followers 160
  • Following 16
  • Registered almost 6 years ago
  • Most used languages
    Go
    61.9 %
    Python
    23.8 %
    HTML
    4.8 %
    Swift
    4.8 %
    CSS
    4.8 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 9,319
  • Country Ranking
    Go
    463
    Swift
    3,265

Top repositories

1

goclone

Website Cloner - Utilizes powerful Go routines to clone websites to your computer within seconds.
Go
1,308
star
2

scdl

SoundCloud music downloader 🎢
Go
62
star
3

stockapi

Stock data Rest-ful API built in Go. Various endpoints regarding stock data scraped directly from Yahoo Finance. Use this for a quick start regarding stock data.
Go
29
star
4

musik

Web application that helps you discover new music.
Go
13
star
5

spyyder

Informative machine learning trading application.
Swift
10
star
6

shareit

Share images and videos anonymously with a single command!
Go
8
star
7

Gram

Instagram analytics tool
HTML
6
star
8

merryGoRound

Example of how to build a HTTP Client with rotating IPs
Go
6
star
9

blacklister

A radix tree implementation of a IPv4/IPv6 blacklisting application
Python
3
star
10

Algo

A home for all my algorithms
Python
2
star
11

gostream

Golang realtime streaming server
Go
2
star
12

gocloneold

Website Cloner - Utilizes powerful go routines to clone websites to your computer within seconds.
Go
2
star
13

tiny

Tiny script with a big purpose. Send authenticated emails with DKIM signatures.
Python
2
star
14

chatserv

IRC server written in Go!
Go
2
star
15

crawler

Practice
Go
1
star
16

tornix

Tornix provides an easy way to manage streams over Tor. The program separates streams across circuits by connection metadata.
Go
1
star
17

garyf.dev

Code for my portfolio site
CSS
1
star
18

HackTheBox

My Hack The Box Solutions
Python
1
star
19

bookrating

Gather some interesting information from a CSV file and populate your Notion database
Go
1
star
20

aragog

Go
1
star
21

tweetGen

tweetGen generates tweets from any given corpus. The sentences are calculated via a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event (Markov Chain)
Python
1
star
22

CS2.1

0
star