Telegram Account Automation
One account can be run by hand. Ten cannot: switching sessions, different proxies, different activity windows, and a constant fight not to slip into identical messages. Neurogram puts all of it into one dashboard where accounts work in parallel under their own rules.
What gets automated
Commenting under channel posts, activity in groups, replies to incoming direct messages, outreach to a base and warm-up for new accounts. Each module is enabled separately and works with its own set of accounts.
Text in every module is generated against your prompt, so you can set a different character per task: one tone for comments, another for private conversation.
Accounts and proxies
An account connects as a pair of files, .session and .json. Each gets its own proxy — SOCKS5, SOCKS4 and HTTP are supported, with or without authentication. An account whose proxy could not be parsed will not start: otherwise it would reach Telegram from the server's own IP and drag the others down with it.
Every account's state is visible in a table: ready or not, spam block, session alive, proxy working. One button checks them all.
Ban protection
Warm-up: a new account runs on low limits for the first week, then they rise gradually. Jumping straight to full speed is the single most common cause of bans.
In operation: randomised pauses, an hourly action ceiling, a daily per-channel cap, night mode, typing simulation before sending. On complaints or temporary restrictions from Telegram the module stops itself instead of finishing the account off.
What the dashboard shows
Daily and per-account statistics, the state of every account, a shared event log and alerts when something breaks. Tasks survive a server restart and come back up on their own.
One workspace holds up to fifty accounts. If you need more, write to support — the limit is technical, not commercial.
Where to get accounts and proxies
You can register accounts yourself or buy them. Your own are safer: you know their history and that nobody spammed from them before you. Bought ones save time, but some arrive already restricted — which is why the system checks for spam blocks before anything starts.
Each account needs its own proxy. Mobile and residential addresses are more reliable than datacentre ones, whose ranges carry poor reputation and get stricter treatment.
Sharing one proxy across accounts defeats every other protection: the accounts get linked by a common IP, and a ban on one puts the rest under review.
Splitting accounts across tasks
Do not give one account everything at once. Comments, chats, direct messages and parsing load an account differently, and combining them stacks the limits into an unsafe total.
A sensible split: some accounts on comments and chats, separate ones for parsing (that is where temporary restrictions land most often), separate ones for private correspondence.
Keep new accounts on warm-up only for the first week. Attaching them to live tasks in parallel defeats the purpose of warming up.
When bans happen
A single ban is routine; accounts are consumables. The system flags that account and pulls its tasks while the rest keep working.
Mass bans over a short period mean the settings are too aggressive or the proxies are bad. Lower the limits, lengthen the pauses and check whether several accounts share one address.
Bans immediately after launch almost always mean the accounts themselves arrived with a history of violations. Check spam blocks before putting them to work.