Short answer: run Combot for moderation, TGStat for analytics, and a browser-extension exporter for the data layer. Under 1K members the free tiers of all three are enough. Past 10K, moderation is the layer worth paying for first — spam scales with the group, and nothing else in the stack breaks as loudly when it is missing.
A working Telegram community runs on four pillars: moderation, analytics, data export, and outreach. Each pillar has a few credible tools and a long tail of forgettable ones. This guide covers the credible ones, with one-paragraph reviews, pricing notes, and three recommended stacks by group size.
We'll be upfront: Mastros is one of the tools listed below. We've kept the section neutral and put the alternatives we'd actually pick (TGStat for analytics, Combot for moderation) ahead of our own. The credibility cost of inflating ourselves is higher than the marketing benefit.
The community manager's daily stack
A community manager's week looks something like this:
- Daily: triage moderation queue, respond to high-engagement threads, watch for spam waves
- Weekly: review growth and engagement metrics, plan content for the next 7 days
- Monthly: export member list, sync to CRM, run a cohort analysis on new joins
- Quarterly: revisit moderation rules, audit admin permissions, evaluate the stack
Each of those touches a different category of tool. The good news: the categories are well-defined. The mediocre news: the tools within each category drift in quality every year, so this guide gets revisited on a schedule — last checked August 2026.

Moderation
| Tool | Strength | Pricing |
|---|---|---|
| Combot | Full-featured admin suite, anti-spam, captcha | Free / Pro $7+/mo |
| Rose | Lightweight, fast, popular for crypto/dev groups | Free |
| Shieldy | Captcha-only, set and forget | Free |
Combot is the default heavy-lifter for groups over 1K. Anti-spam, captcha-on-join, warn/mute/ban automation, content rules, scheduled messages, polls, and a dashboard that's actually useful. Free tier covers most needs; Pro adds federation across multiple groups and longer log retention.
Rose is what you reach for when Combot feels heavy. Faster, simpler, fewer features, and beloved in the crypto and developer-tools community. If your group has technical members who'd notice a slow response from a moderation bot, Rose is the safe pick.
Shieldy does one thing: captchas users on join to filter automated spam accounts. It's the right call for groups that don't need broader moderation but get hit by bot waves. Set it up, forget about it.
A note on layering: don't run Combot and Rose simultaneously. They'll both react to the same triggers and you'll end up double-banning users. Pick one.
Analytics
| Tool | Strength | Pricing |
|---|---|---|
| TGStat | Public-channel rankings, audience overlap | Free / Pro $ |
| Telemetr | Channel growth tracking, ad estimation | $ |
| Native Telegram Analytics | First-party basics, channels only | Free |
TGStat is the standard for public-channel intelligence. Search any public channel and get subscriber count history, view-per-post averages, audience overlap with other channels, and content categorization. The free tier shows top-line metrics; Pro unlocks deeper time-series and competitive analysis.
Telemetr focuses on channel growth and advertising. Its strength is estimating ad costs and post performance — useful if you're running paid promotions on Telegram channels (which has become a real category in 2024–25). Less useful for groups.
Native Telegram Analytics is built into channels (not groups, important caveat) and gives you basic subscriber growth and view metrics. Free, lives in the official client. Treat it as a baseline, not your primary dashboard.
For groups specifically, native analytics doesn't exist — you'll be building your own from exports. Which is why the next category matters.
Data export and CRM bridge
This is where most stacks fall apart. Native Telegram has no "export this audience to my CRM" button. Most analytics tools won't hand you the underlying data — they sell you charts.
Mastros sits at this layer. It runs as a browser extension and reads Telegram's own structured data through the Telegram Web session you are already signed into — there are no API credentials to create, no api_id/api_hash from my.telegram.org, and no second login. It writes member lists and message histories to CSV, JSON or JSONL, which pipes into HubSpot, Notion, Airtable, your warehouse, or wherever your stack lives. Free covers 250 profiles and 300 messages a month; Pro is $9 for 5,000 and 10,000. We built it because we got tired of doing this by hand for our own communities.
(Correction, August 2026: an earlier version of this post said the extension used the official MTProto API with supplied credentials. It does not, and never has — it reads the session already open in the browser. The distinction matters when you are evaluating what a tool asks you to hand over.)
Other tools in the category: there are a handful of cloud-based scrapers that offer similar exports, but they route your data through their servers and we don't recommend them for the reasons covered in our methods comparison. Self-built Python scripts using Telethon work fine if you have the engineering time.
The right way to think about this layer: it's the connective tissue between Telegram and the rest of your stack. If you can't get the data out cleanly, every downstream decision is built on incomplete information.
Outreach — do this carefully
DM-based outreach to community members is the fastest way to get banned, both by Telegram and by the community itself. Telegram has spam-detection heuristics that flag accounts sending many DMs to non-contacts; communities have their own social tolerance for it (very low).
The healthy pattern: export, segment, contact in-channel or via a separate opt-in list. Newsletter signups, gated content downloads, and in-thread replies all work. Cold-DMs at scale do not.
If you do send DMs, it should be:
- One-to-one, manually composed
- To a member you've engaged with in-thread first
- For a reason that benefits them, not just you
- Scoped to a small daily volume (~10/day from a single account)
Anything beyond that and you're not doing community management, you're doing outbound sales — which is fine, just not under the same playbook.
Recommended stacks by group size
Under 1K members
| Layer | Tool | Notes |
|---|---|---|
| Moderation | Shieldy | Captcha-only is enough at this scale |
| Analytics | Native + manual count | A spreadsheet you update Mondays |
| Data layer | Mastros monthly export | Free tier covers it |
| Outreach | In-channel only | Don't DM-blast; you'll know everyone |
You don't need a stack at this size. You need a habit: a 30-minute Monday review where you check growth, scan recent threads, and update a one-page running doc. The tools are scaffolding for that habit.
1K–10K members
| Layer | Tool | Notes |
|---|---|---|
| Moderation | Combot (free tier) | Cap on actions/day is fine here |
| Analytics | TGStat free | Pair with native channel analytics |
| Data layer | Mastros + Sheets dashboard | Weekly export, pivot tables |
| Outreach | Gated content + opt-in | Build a subscriber list separately |
This is where most communities live for a year or two. The infrastructure investment pays off here — a basic dashboard and a habit of weekly export turn into compounding insights.
10K+ members
| Layer | Tool | Notes |
|---|---|---|
| Moderation | Combot Pro | Federation across sub-groups |
| Analytics | TGStat Pro + Telemetr | Especially if you run paid promo |
| Data layer | Mastros + Looker Studio + warehouse | Daily export, dbt models, real BI |
| Outreach | Dedicated CRM with consent tracking | HubSpot, Customer.io, etc. |
At this size, you have a budget. Spend it. The cost of paid tools is rounding error against the cost of a community manager's time, and the analytics gap between free and paid tiers becomes meaningful past 10K.
Tools we left out (and why)
A few categories we considered and didn't include:
- General social-media schedulers — Hootsuite, Buffer, etc. don't have meaningful Telegram support. Use Telegram's built-in scheduled messages.
- CRM-native Telegram integrations — most are thin and not worth the integration tax. Better to export to CSV and import.
- AI moderation tools — emerging category. Promising but immature; revisit in 2026.
If a tool isn't in this guide, it's either too niche, too new, or didn't survive a quarter of real use in our own community.
How to evaluate a new tool
When something new appears in this category (and something will), use this checklist:
- Is it a browser extension or a cloud service? Cloud means your data sits on their servers.
- Does it use the MTProto API (full power) or the Bot API (limited)?
- What's the pricing at the next tier above where you'd start?
- How long has it been around? Telegram-tooling has a high churn rate.
- Who else uses it? Real users in your network, not testimonials on the homepage.
A "no" on question 4 isn't disqualifying, but it should make you think twice about migration risk.
On question 5, published install and review counts are the closest thing to a public answer. For reference, read off the Chrome Web Store listings on 26 August 2026:
| Tool | Users | Rating |
|---|---|---|
| Mastros for Telegram | 560 | 4.8 from 60 reviews |
| Mastros for WhatsApp | 194 | 5.0 from 44 reviews |
| Mastros for LinkedIn | 85 | 5.0 from 28 reviews |
Small numbers, stated plainly. A tool in this category with no published count at all is the one worth asking about.
Mastros sits at the data layer → see the Telegram scraper and pair it with whichever moderation and analytics tools fit your size.
Related reading
- Telegram vs Discord: Which Is Easier for Community Data Export? — the platform-level question this stack sits inside.
- How to Export Telegram Group Members to CSV — the data layer in practice.
- How to Archive Telegram Messages for Compliance — when "community ops" tips into regulated territory.
