Data Panda brings your Discord servers together with the data from the rest of your business. From one place, we turn the community side of your product into dashboards, automations, AI workflows and custom apps your community, support and product teams use every day.
Discord launched in May 2015, founded by Jason Citron and Stanislav Vishnevskiy in San Francisco. The product started as voice chat for gamers, then quietly became the default home for creator communities, open-source projects, web3 and crypto groups, and a growing share of SaaS-product user communities. The company reports around 150 million monthly active users and roughly 19 million weekly active servers, and its largest single server (Midjourney) crossed 15 million members in 2023. A 500 million dollar round in 2021 valued the business at 15 billion dollars, and Discord filed confidentially for an IPO in early 2026.
Where Slack is the workplace your employees log in to, Discord is the community your customers, fans and contributors choose to live in. The free product is the surface area; Nitro, launched in January 2017, is the paid upsell. For a SaaS company that runs a Discord server, the data shape that matters is the same one that matters in production: which channels carry real conversation, which members do the heavy lifting, where moderators are spread thin, and how server activity correlates with paid product usage. Our connector pulls the server, channel, member and role inventory into your warehouse so those questions stop living in a mod's head.
Servers, channels, members and roles in one place, instead of a mod-team spreadsheet that gets refreshed twice a year.
Let server data trigger the housekeeping a busy mod team would otherwise do by hand.
Put your community topology behind AI that helps members and mods find each other faster.
Small internal tools on your community data for community, support and product teams.
A list of concrete reports, automations and AI features we have built on Discord data. Pick the one that matches your situation.
Which of our channels are carrying conversation?
Active versus dormant channels per server and category, with the cut-off you choose (30, 60 or 90 days of no message). The community team sees which corners of the server still pull engagement and which ones are quietly waiting to be archived, instead of guessing from the channel sidebar.
Where are mods spread too thin?
Channel-level message volume matched against mod presence and report rate. Channels where the message-to-mod ratio runs hot, channels with no mod assigned at all, and channels where one mod carries the whole load surface as a list, so the next mod-rota review starts with facts instead of vibes.
Does community activity correlate with paid product usage?
Server-side activity per member joined to your product-account data in the warehouse, so the head of community can show whether engaged Discord members convert, expand and retain at a different rate than the rest of the base. That is the conversation that turns the community line item into a budget line.
Community spend versus community signal in the same view. Cost per active member, per active channel and per Nitro-boosted server becomes a number you can compare against acquisition spend in the rest of the funnel.
Community-to-pipeline mapping. The customer-success team sees which Discord power members map to paying accounts, which accounts have nobody on the server, and which prospects are quietly active in the community before sales ever calls.
Mod-rota and channel-lifecycle work on data that refreshes with the rest of the warehouse. Coverage gaps, role drift and stale channels surface as a list the community lead can act on, not as a quarterly clean-up scramble.
Discord member ids and email-verified handles in your warehouse get joined to HubSpot contact records, so the customer-success team can see which paying contacts are quietly active in the community, which never joined, and which power members have no contact record at all. The CRM stops being blind to the community and the community stops being a separate planet.
High-signal Discord events (a power member's first product question, a new wave of joiners on the server, a moderation report on a sensitive channel) post into the right Slack channel for your community or support team, with the member handle, channel and message context attached. The team works inside Slack where their other tools live, while the community keeps living in Discord where the members chose to be.
Question patterns surfaced from Discord channel data (topic, question text, mod answer when there is one) are pushed into a Notion database the community and docs team curate together. Repeat answers stop living in scrolling history and start showing up in the wiki the next reader can find, with a link back to the originating thread.
PostHog product-event data joins Discord member activity in your warehouse, so the head of community can show whether server-engaged members hit activation, conversion and retention milestones at a different rate than non-members. The 'is the community paying off' question stops being a slide deck and starts being a weekly chart.
You keep the reporting tool you already have. We connect it to the warehouse where your Discord data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
The default Peliqan Discord pull covers the structural surface: servers (guilds), channels, members, roles, and high-level activity counts. Message content is a separate scope conversation, because community conversation is sensitive data and most of the reporting questions our customers raise (channel sprawl, mod load, member engagement, community-to-product correlation) are answered without it. We recommend starting on structure and only widening scope if a specific use case needs it.
Slack is your workplace, Discord is your community. The Slack connector is built for a paid workspace where employees already log in: channel sprawl, alert routing, owner hygiene. The Discord connector is built for a free-to-join server where customers, fans and contributors choose to be: member engagement, mod coverage, community-to-product correlation. Same warehouse, different shape, very different audience.
We review your Discord setup and the systems around it. Together we pick the first thing worth building.