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Community analytics for operators

Community analytics. Understand your people.

Understand engagement, sentiment and member growth without piecing together channel logs. A clearer view of your community, starting with Discord and built to expand to X and Telegram.

Connect to your dashboard Explore the interactive demo

Available today: Discord. X and Telegram are planned next and are not yet available.

Interactive demo Fictional sample data. AI answers are scripted, not live.

Atlas Lab . Oct 12–18, 2026

Choose a tab to explore. Open a member profile, or watch an example in Ask AI.

Messages8,847-6.6% decrease vs 9,471 prior week
Weekly unique actives186+6.9% increase vs 174 people
Members1,248+27 joined, -11 left from 1,232, net +1.3% increase
Reactions2,134+7.8% increase vs 1,980

Activity pulse, daily

05001,0001,5002,000050100150200countpeopleMon 12: 342 reactionsTue 13: 318 reactionsWed 14: 419 reactionsThu 15: 286 reactionsFri 16: 251 reactionsSat 17: 203 reactionsSun 18: 315 reactionsMon 12: 1,458 messages, 342 reactions, 108 active membersTue 13: 1,321 messages, 318 reactions, 96 active membersWed 14: 1,674 messages, 419 reactions, 124 active membersThu 15: 1,189 messages, 286 reactions, 101 active membersFri 16: 1,046 messages, 251 reactions, 89 active membersSat 17: 902 messages, 203 reactions, 77 active membersSun 18: 1,257 messages, 315 reactions, 112 active membersMon 12Tue 13Wed 14Thu 15Fri 16Sat 17Sun 18
Daily messages ranged from 902 on Sat 17 to 1,674 on Wed 14. Reactions ranged from 203 to 419 per day. Daily active members ranged from 77 to 124.

Sentiment over time

0%25%50%75%100%share of messagesMon 12: positive 350 (24%), neutral 990 (67.9%), negative 118 (8.1%)Tue 13: positive 310 (23.5%), neutral 868 (65.7%), negative 143 (10.8%)Wed 14: positive 400 (23.9%), neutral 1,107 (66.1%), negative 167 (10%)Thu 15: positive 280 (23.5%), neutral 786 (66.1%), negative 123 (10.3%)Fri 16: positive 230 (22%), neutral 670 (64.1%), negative 146 (14%)Sat 17: positive 180 (20%), neutral 596 (66.1%), negative 126 (14%)Sun 18: positive 348 (27.7%), neutral 777 (61.8%), negative 132 (10.5%)Mon 12Tue 13Wed 14Thu 15Fri 16Sat 17Sun 18
100% stacked share of classified messages per day. Positive share ranged from 20% to 27.7%; each day sums to 100%.

Conversation tone, Oct 12–18, 2026

Positive
23.7%
Neutral
65.5%
Negative
10.8%

2,098 of 8,847 classified messages read as positive.

Busiest channels, messages

  • #general3,529
  • #builders2,486
  • #support1,794

Voice: 3,060 min, -5.6% decrease vs 3,240 min.

Fictional dates and metrics. Daily active counts overlap across days, so they do not add up to the 186 weekly unique actives.

Every name, number and message above is invented for this demo. It is not a live view of any community.

What it measures

Five questions every community team keeps asking.

Is the community healthy? Are new members sticking? Where is conversation happening, and how does it feel? DiscLabs Analytics turns raw community activity into answers your team can act on.

  • 01

    Participation

    See who is talking, where, and when. Message volume, active members, busiest channels and hours, voice time and reactions, broken down by channel and member segment over any date range.

  • 02

    Sentiment

    Follow the tone of conversation over time instead of guessing from the last few messages. Spot when a channel turns frustrated, and when a launch lands well.

  • 03

    Member growth

    Track joins, leaves and retention so you know whether new members stay and take part, or arrive and go quiet.

  • 04

    Moderation

    Review moderation activity in one place: actions taken, by whom and where, so a moderator team works from the same record rather than scattered logs.

  • 05

    Historical activity

    Backfill message history from before the bot joined, so trends start with real context instead of a blank first week.

How it works

From server to shared picture.

Access and setup are managed directly by DiscLabs. Your analytics stay behind sign-in, separate from this public homepage.

Step 01

Connect your Discord server

The DiscLabs operator configures the bot and the channels to track. Excluded channels stay out of the analysis.

Step 02

Bring in history

Backfill earlier messages so trends have context from day one.

Step 03

Work from one view

Authorized operators filter by date, channel and segment to understand the community from one dashboard.

Platforms

Built for communities wherever they gather. Starting with Discord.

Available now

Discord

Participation, sentiment, member growth, moderation, voice, reactions and historical backfill.

Planned

X

On the roadmap. Not available yet.

Planned

Telegram

On the roadmap. Not available yet.

FAQ

Straight answers.

What is DiscLabs Analytics?

DiscLabs Analytics is a community analytics dashboard for the people who run online communities. It measures participation, sentiment, member growth, moderation and historical activity, and presents it in one private workspace for your team.

Which platforms are supported?

Discord is supported today. X and Telegram are planned next. They are not available yet, and we will not describe them as available until they are.

How do I get access?

Access is currently managed directly by DiscLabs, not through public self-service signup. Signing in alone does not grant access. If your account is already authorized, use Connect to your dashboard.

Who can see community data?

Dashboards require sign-in and an authorized account. This public homepage does not display any private community data. The interactive example above uses fictional sample data and scripted answers, not a live dashboard.

Can it analyse activity from before we connected?

Yes, for Discord. The backfill tool imports earlier message history from channels the bot can read, so historical trends are available from the start.

Is there a free trial or public signup?

Not at the moment. There is no public self-service signup or advertised free trial. Existing authorized users can sign in to their dashboard.

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