--- title: 'I Gained +4000 Telegram Subscribers by Watching Others'' Stories!' source: 'https://youtube.com/watch?v=FhBfXbZJhFs' video_id: 'FhBfXbZJhFs' date: 2026-08-04 duration_sec: 666 --- # I Gained +4000 Telegram Subscribers by Watching Others' Stories! > Source: [I Gained +4000 Telegram Subscribers by Watching Others' Stories!](https://youtube.com/watch?v=FhBfXbZJhFs) ## Summary The video demonstrates a Telegram marketing strategy called 'mass viewing of stories' (muscling) to grow a channel's subscriber base. The creator explains how to set up automated accounts to view stories of targeted audiences, driving traffic to a Telegram channel, and claims to have gained over 4,000 subscribers using this method. ### Key Points - **Introduction to Mass Story Viewing** [00:03] — The strategy involves viewing Telegram stories of targeted audiences, similar to neurocommenting but simpler, with fewer block issues and a focus on audience reach. - **Comparison with Neurocommenting** [00:44] — Neurocommenting involves bots writing comments under posts, but has downsides: accounts get banned and only a small portion of channel subscribers see the comments. - **Mass Story Viewing Strategy** [01:42] — Instead of commenting, the strategy parses participants of target channels and uses accounts to view their stories, leading to fewer blocks and higher margins. - **Implementation with Trafsoft** [02:13] — Trafsoft is a Telegram automation bot that manages campaigns like muscling and neurocommenting. The process starts with buying Telegram accounts from FB Store. - **Buying Telegram Accounts** [02:43] — Recommend buying accounts active for at least 14 days, not focusing on region. Accounts should be warmed up and rested. TDATA format is preferred. - **Connecting Accounts to Trafsoft** [03:40] — Upload accounts to the Trafsoft bot via the 'add accounts' section, selecting TDATA format. - **Designing Accounts** [04:10] — Accounts are edited to have attractive profiles: beautiful girls with vulgar names and call-to-action in descriptions, plus avatars. - **Reducing Block Risk** [05:10] — Use 'automatic channel installation' to create transition channels, reducing the chance of blocking. This involves setting up a channel link for each account. - **Collecting Target Audiences** [06:24] — Create links for each topic and assign accounts to them. For example, four accounts for news channels, four for bloggers, three for football. - **Finding Similar Channels** [07:21] — Use Trafsoft assistant to parse recommended channels from a list of seed channels, expanding from 29 to 122 channels. - **Joining Channels with Intervals** [08:14] — Accounts join channels with delays to avoid detection. Set a limit of 20 intro accounts, delay between joins, and max one join per channel. - **Launching Mass Story Viewing** [09:22] — Select the 'muscling' task, choose category, and select mode: Turbo (fast but accounts die), Medium (max lifespan with reactions), Economy (max lifespan without reactions). - **Results** [10:24] — Over 500,000 stories viewed in less than a day, generating 4,500 requests to the creator's Telegram channel. ### Conclusion Mass story viewing is a less stressful and more effective alternative to neurocommenting for driving Telegram traffic, yielding significant results with proper account setup and automation. ## Transcript in the dan niche through mass viewing of Telegram stories. It's almost like neurocommenting, only much simpler. In this case, we have fewer problems with blocks, and we can focus on audiences instead of fighting All information in this video is provided for financial transactions or other actions shown in the video. What does our connection look like, in short? We find [music] Telegram channels that interest us, the topics we need. Then we find similar Telegram channels, download their subscribers, and set up our accounts so that they can view their stories. It looks like neurocommenting, but not quite. These are the global differences. This is what a standard strategy looks like. We find target channels with open comments and launch our neurocommenting on them so that our bots write comments under posts. Then the chat participants look at the profile [music] of our bots and follow the link in the bio. To achieve this, we create provocative designs for our profiles. And this designs for our profiles. And this strategy has two obvious downsides. The first is that admins and moderators ban our accounts. That is, [music] when our account goes to a blog on a certain Telegram channel, we need to buy a new one, and this is an additional expense. And the second disadvantage is that we reach a small number of subscribers of the selected channels. Not every subscriber to a particular channel goes into the comments. And, accordingly, we simply don’t reach a large portion of our audience. And this is what our strategy that I applied in this case looks like. We find the same target channels with open comments. From there we parse the participants of these chats. We are launching a viewing of stories by our accounts about them. Next, chat participants look at the profile and follow the link in bio. It seems to be the same, but there are far fewer blocks and account costs, so the margins are higher. Let's move on to implementing our strategy. Trafsoft, a Telegram automation bot, can help us with this . It allows you to manage advertising campaigns such as muscle-looking, neuro-commenting, and so on, as well as automate posts in channels using neural networks. Specifically here we will need makiing. And first of all, we need to stock up on Telegram channels. Go to the FB Store website and scroll down to the Telegram section. Here it is. And we need to buy Telegram accounts that suit us. I recommend using accounts that have been active for at least 14 days and not paying too much attention to the region, as Telegram doesn't look at the region where as Telegram doesn't look at the region where the account is registered and doesn't correlate it the account is registered and doesn't correlate it with the interface language, the language of the text we write, and so on. This doesn't really affect the trust. All that has an effect is warming up and lying down. And we need to find accounts that are [music] ah, automatic account registration, IP Canada, 14+ days of relaxation. And we see three formats in which we can save [music] our accounts. Specifically, I find it more convenient to work with the TDATA format. However, the other two formats are also suitable for TRSoft the other two formats are also suitable for TRSoft . I will select 11 pieces and buy these accounts. Then we go to the trsoft bot and select the add trsoft bot and select the add accounts section. Log in, select the tdata format and upload it here. Yes, start loading accounts. And it's done. Our accounts are connected to the bot. Then we need to design our accounts so that they correspond to our goal, namely, they should be beautiful girls with a vulgar they should be beautiful girls with a vulgar name and a call to action to go to their profile and look at their description, as well as photos from the avatar. To do this, go to the accounts section and select edit profiles. Select category. I have them all in one category. Continue. And here is the list of names that I want to put. These are just women's names and to put. These are just women's names and hearts. Click here. [music] And so here I press everywhere do not change. And it's done. Our accounts are now named as we need. Now let's add avatars. Here's how it's done. We go in and select the archive with our avatars. We need 11 pieces. And wait until the folder is loaded. and they will be automatically installed one by one on each of our profiles. Here you can also choose whether to delete old avatars or not. I will choose not to delete it so that we have an archive. And, accordingly, the task is completed. Now let's significantly reduce the risk of our accounts being blocked, so that Telegram doesn't suspect anything amiss. To do this, go to accounts again and To do this, go to accounts again and select automatic channel installation. And this function allows you to significantly reduce the chance of blocking. Here the bot will automatically create a transition channel containing a Click start setup, select category. Select all our accounts and continue. And we send a link to the Donnor Telegram channel. Click continue. Generate automatically. We need to upload avatars again. I select my RAP folder again. And we wait for it to load. We send a list of names to use the original ones. Continue. If original ones. Continue. If the account already has a link to the channel, then choose to replace it with a new one. Click [music] to continue and start the task. Thus, we have created the accounts from which we will work. And the correct design of these accounts is the key to our success. We need our audience to want to click on them, and the call to action in the description should work so that people subscribe to our Telegram channel. Now we need to collect audiences for our accounts to target and look at their stories. And this is what the structure of our advertising campaign will look like. advertising campaign will look like. We will create our own links for each topic. And a certain number of accounts . For example, I have the first link, and four accounts will be linked to it, and they will work on the audience of Telegram news channels. The second link will have four accounts, and they will work on the blogger audience. I chose popular bloggers to ensure a wide audience reach. And the third link. We will have three accounts there, and they will work on football topics. And this division of accounts by topic will allow us to understand where the best audience comes from. All that remains is to assemble the Telegram channels whose audiences we will be targeting. And we do this also semi-automated. In short, we collect several channels, and then the software searches for similar ones. We go to the bot, TRSoft assistant. This is what it looks like. Here is his link. We select parsing of recommended channels and download links to our selected channels in txt format . I have 29 of them. And we click to start the process. [music] And it's done. He uploaded 122 channels to us, although there were 29. Here they are. Here are the links. And then we need to select only those with open comments. Channels without comments will be filtered out, and those with open comments will be the ones we will work on. And now our accounts should join the channels we found. However, not everything is so simple. We can't have accounts join all the channels we find at once, because Telegram will immediately detect the automation and block our accounts. Therefore, we allocate a limited number of channels for each account, and they must join them, maintaining an interval. We select a new task. Joining chats and channels. Then select a category. We select our category. Continue. Joining the chat. How many intro accounts can there be? [music] I will indicate a 20. It is necessary to indicate the delay between entries into groups and channels. What is the maximum number of people that can join one group? channel. I'll point out one. Next, we need to send links to the channels and groups that our accounts will join. And here we select exactly what the assistant has parsed for us. Add the txt file here. the txt file here. 116 pieces loaded. And click start task. And finally, we launch our making. Go to the main menu, select new task and choose the mustling item. Go to launch, select categories. I choose the first one. Continue. And, accordingly, here we have three modes for spinning our traffic. Turbo mode is at maximum speed, but our accounts will not be durable and will quickly crash. This is in case you need to drive a lot of traffic at once. Medium mode is the maximum lifespan of our accounts, provided that we set reactions. And economy mode is also the maximum lifespan of our accounts without any reactions. I'll select economy and click start task. And this is what it looks like. We go into this section and see how many accounts are being used, how many valid accounts there are, [music] how many reactions have been successfully set, as well as the task status and the time it took to complete. Please note that more than 500,000 stories were viewed in less than a day , and this was even in light mode. This is how I generated 4,500 requests for my own Telegram channel in the action niche. This is a much less stressful process than neurocommenting. By the way, you can also pour conditionally free traffic into this same vertical. I recently made a separate video where I analyzed five sources of such traffic. Short videos, long videos, and a thorough source of conditionally free traffic. Good luck.