Engagement booster is the most controversial feature in Sndwich. The user sets up a rule like «when my channel posts, my 10 worker accounts react and write comments under the post». Half of people call this marketing, the other half call it inflation. The truth sits somewhere in between, and it depends on what exactly you do.
Why boost at all
Telegram, X, and Instagram algorithms score a post by its first 15-30 minutes. 50 reactions and 5 comments inside that window = larger distribution. Zero engagement and the post is pushed down the feed and reaches 1-3% of subscribers. Not magic, just obvious mechanics.
Without boost, a fresh Telegram channel routinely gets 200 reactions per post on 50000 subscribers. That is 0.4%. Very low. The algorithm decides the content is weak and cuts distribution.
With boost the same channel gets 800-1500 reactions in the first 30 minutes. The algorithm sees «active channel» and widens reach. Then real people catch up. That snowball would never start without the initial push.
Where it is marketing, where it is inflation
My personal framework:
Marketing (this is fine)
- Boost only the first 30 minutes. After that the window closes, real people are seeing the post, more boost adds nothing for the algorithm.
- Reactions and emojis under a post. Nobody considers this fake engagement. It is just a button, bots are indistinguishable from a lazy subscriber.
- One meaningful comment per 8-10 accounts. If 10 worker accounts add reactions and one writes «great, been waiting for this take» it looks like organic. Nobody catches it.
- Each worker has its own persona. If all 10 write the same message, spotted in half a second. If each has its own voice (one likes emojis, one types with typos, one is formal) it is indistinguishable from a real audience.
Inflation (this no longer works)
- 1000+ reactions in 5 minutes on a channel with 1000 subs. Trips anti-fraud immediately, post gets penalized or removed.
- 20 identical «Fire!» emoji comments under one post. Obvious to the naked eye. Audience starts joking about your «bought channel», catastrophic for trust.
- Bots with identical IDs or identical names. All workers must have unique bios, different photos, different registration dates.
- Same phrases reused across channels. Creates a fingerprint that machine learning catches automatically.
Numbers from my experiments
Across 6 channels in different niches I saw these numbers:
| Strategy | Reach uplift | Real engagement |
|---|---|---|
| No boost | baseline | baseline |
| 10 accounts, reactions only | +45% | +30% |
| 10 accounts, reactions + 1-2 comments | +85% | +50% |
| 30 accounts, reactions + 5+ comments | +60% (penalized!) | -10% (trust drops) |
Main takeaway: more boost is not better. The uplift / overdose curve flips negative quickly.
What Sndwich does
The booster in Sndwich is configured to stay on the «marketing» side of the line:
- Per-post limits. With 10 workers, not all 10 boost a single post. A random 60-80% participate in each post.
- Delay windows. Between master publication and worker reaction, random 30 seconds to 8 minutes. No «all 10 reactions in 0.5 seconds».
- Randomized emoji reactions. Not all 10 hit 🔥. One hits 🔥, another ❤️, another 👍. Distribution matches real audiences.
- Comments via Claude through persona. Not identical from a template, generated with context of the post and each worker's voice. Indistinguishable from organic.
- Optional decoy actions. Worker not only reacts to your post but also reacts to random other channels a few times a day. Dilutes the pattern of «account active only for this channel».
When you should not use it at all
Not every product needs this:
- Channels with 100000+ subscribers and decent organic engagement (3%+): booster only burns workers. The algorithm is already happy with your content.
- B2B audience. People read, they do not slap emojis. Low engagement is the norm, inflation just amuses your professional subscribers.
- Channels for an internal team or your clients. If the channel is for 200 coworkers, nothing to boost.
Where it helps
- New channels in the first 1-3 months, to ramp up the algorithm.
- When you publish an important article or launch and want larger algorithmic reach.
- Supporting weaker posts ahead of major events.
The ethical question
I often hear «but this fools your subscribers». Not exactly. If your content is actually valuable, the booster helps the algorithm see it. If your content is garbage, the booster does not save it because real people never join in.
It is a lever. Used right = reach grows. Used wrong = penalty or trust loss. Same as any other tool.
Before you launch the booster, read the warmup guide. Without warmed workers everything starts dying in days.