AwrAiter

Comparison

AwrAiter vs TGStat: which one you actually need

TGStat and Telemetr are catalogues: they index millions of public channels so you can research a niche and buy ads. AwrAiter is a workbench for the channels you run yourself: the same ER and ERR formulas, but next to the posts, the calendar and the team. If you buy ads, keep TGStat. If you publish, you need AwrAiter — and, for research, possibly both.

AwrAiter channel overview with subscribers, views, average ER and post count for a channel you run
The same ER as in TGStat, for your own channel, with the posts behind it one tab away.

01 — The difference

Catalogue versus workbench

  1. 01

    Whose channels

    TGStat shows any public channel, yours included, from the outside. AwrAiter shows only channels where its service account is an admin — from the inside, with drafts, slots and failures.

  2. 02

    What you do there

    In TGStat you research: compare niches, check an advertiser's channel, pull a growth chart. In AwrAiter you work: plan, schedule, publish, see what scored.

  3. 03

    Where the numbers come from

    Both read Telegram's own view and reaction counts and apply the same ER, ER-by-subscribers and ERR formulas. Differences are minutes of capture, not method — see the formulas.

  4. 04

    How you pay

    TGStat and Telemetr bill in rubles and target the Russian market. AwrAiter bills in euros through Stripe, with one channel free forever.

02 — What AwrAiter adds

Everything that happens after you look at the number

Scheduling and verification

Posts go out at a slot and are checked in Telegram afterwards. A catalogue never publishes anything.

Content plan per channel

Rubrics and cadence as a grid of slots; autofill from your sources; the assistant fills what is empty.

Team access

Members scoped to channels, one publishing identity, owner-only billing. Built for agencies with dozens of channels.

Post-level insights

Top and flop posts against the channel's own median, best weekday and window, whether questions help — computed from history, not from a niche average.

MCP connector

ChatGPT, Claude or Gemini read your channel's stats and schedule posts by asking. See the MCP server.

Exports

XLSX and a daily Google Sheets export of every channel, for the client report you already build.

03 — Side by side

TGStat, Telemetr, AwrAiter

As of September 2026. TGStat and Telemetr features from their public pages; AwrAiter from the product as shipped.

FeatureTGStatTelemetrAwrAiter
Research other people's channelsyes, millions indexedyesno
Analytics for your own channelsyes, from the outsideyes, from the outsideyes, with posts, drafts and failures
ER / ERR formulasstandardstandardthe same
Scheduling and publishingnonoyes, verified after sending
Content plan and team accessnonoyes, per channel
Post-level insights and slotsnonoyes, from the channel's own history
Work from ChatGPT / Claude (MCP)nonoyes
Ad marketplaceyesyesno
Billingrublesrubles, cryptoeuros (Stripe), one channel free

Nothing to migrate: connect a channel and its history starts loading the first night. Keep TGStat open for research; it does a job AwrAiter does not try to do.

04 — Questions

Before you switch

Does AwrAiter show data for channels I do not own?

No. Only channels where the AwrAiter service account is an admin. For competitors and niches use TGStat or Telemetr.

Are the numbers comparable with TGStat?

Yes. ER, ER by subscribers and ERR use the same formulas, so a media kit built from AwrAiter matches what an advertiser sees in TGStat.

What does it cost?

One channel is free forever. Three channels are €9 a month, ten €20, fifty €50, two hundred €99. Billing is in euros through Stripe.

Can I keep using TGStat?

Yes, and most agencies do: TGStat to pick channels for ads, AwrAiter to run the channels they own.

Do I need to install anything?

No. Add @awraiter_bot as an admin once; the AwrAiter service account joins and publishes. No script, no extension, nothing to run.

See your own channel from the inside

One channel is free, forever. History loads on connection.