How to organically grow your NFT project on Twitter & TikTok

Bartosz Wójcik
2 min readJan 27, 2022

A short presentation of how to grow your NFT project on Twitter and TikTok using Social Media Bot browser extension for Google Chrome and Mozilla Firefox.

One of the most important aspects of the NFT movement is growing your project. There are many ways to do it, but you want to make sure you are creating something with the intention of marketing it to the public. Marketing is all about getting your product out to the public, and it can be done in many ways. One way to start marketing your NFT is to use automation tools.

What is Social Media Bot?

Social Media Bot is an automatic growbot for social media platforms such as Twitter, TikTok, SoundCloud, LinkedIn, and Gettr.

It is a browser extension (also known as a plug-in) that automates your typical social media activities. You can use it on your Mac and your PC.

How to promote the NFT project quickly?

The tutorial shows how to use automation to leave Likes, Retweets & Follows actions to grow your followers.

Leave likes, retweets & attract new followers

You will quickly attract a group of new followers by automatically and mass liking other users’ posts, selected #hashtags, auto-retweets, and automatically following other users’ fans.

It’s human nature; if you click likes for others, they’ll do the same for you.

Social Media Bot panel in web browser

Human-like behavior will keep your account safe

The bot is not the magic stick. Use it wisely, don’t leave 1000000 likes per day, because the social media sites will put a temporary ban or a shadowban.

Lower the daily like counts and run it in infinite cycle/scheduler mode with rest periods in-between.

All operations are carried out directly from your computer and your IP address as if you were carrying them out yourself. This way, you can be certain that your account will not be suspended.

Install Social Media Bot and try yourself!

--

--

Bartosz Wójcik

Developer behind PELock software protection system, author of reverse engineering articles.