Community Platforms
Feeds, profiles, conversations, and the moderation that keeps them healthy — we build community platforms for brands and niches the big networks underserve.
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{ 01 } — How we work in Social Media
Engagement with guardrails.
Community products live on two curves — engagement and safety. Grow one without the other and the platform dies either way.
Foundation
- Profiles & graphs
- Feed architecture
- Notification design
Engage
- Posts, media & reactions
- Groups & events
- Messaging
Protect
- Moderation queues
- Reporting & policies
- Abuse controls
Unmoderated communities rot; over-moderated ones stall. We build the tooling — queues, reputation, and clear policies — that lets a small team keep a large community healthy.
Feeds are engineered for participation, not doom-scrolling: recency, relevance, and creator visibility you can tune.
{ 03 } — What we build
What we build for communities.
Community networks
Profiles, follows, feeds, and groups for your niche.
Creator tools
Posting, analytics, and monetization for your power users.
Moderation systems
Queues, reports, and policy enforcement at scale.
Engagement analytics
Health metrics beyond vanity numbers — retention and depth.
{ 04 } — What makes it hard
Moderation is the product, and it never finishes.
Building a social product is straightforward. Running one is a permanent operational commitment that most teams underestimate by an order of magnitude.
The feed is a cost centre before it is a feature
Fan-out on write is fast to read and expensive for accounts with many followers; fan-out on read is cheap to store and slow at exactly the wrong moment. The choice determines your infrastructure bill more than any other decision.
Abuse arrives the day you launch
Spam, harassment, and automated accounts do not wait for scale. Reporting, review, and enforcement tooling has to exist at launch, because building it under pressure means building it badly.
Deletion has to actually delete
Content propagates into caches, feeds, notifications, and search indexes. A delete that removes the row and leaves five copies is a compliance failure and, more immediately, a user betrayal.
Engagement metrics reward the wrong things
Optimising for time spent surfaces content that provokes, and the consequences appear as a moderation problem months later. What you measure is a product decision with a long lag.
{ 05 } — What you have to get right
Platform obligations arrive with the first user, not the millionth.
India's IT rules for intermediaries set out grievance handling, response timelines, and takedown obligations that apply to platforms hosting user content, and they are procedural requirements with named responsibilities rather than aspirations. Building the reporting and review workflow to meet them from launch is far cheaper than retrofitting it during an incident.
DPDP adds the user-facing side: consent, purpose limitation, access, and deletion. On a social platform deletion is the hard one, because content is copied into feeds, caches, notifications, and search indexes — and a deletion path that misses any of them has not deleted anything.
- Reporting, review, and enforcement tooling live from launch
- Grievance handling with timestamps against the required response windows
- Deletion that propagates to caches, feeds, notifications, and indexes
- Age gating that changes what is collected, not just what is shown
- Moderation decisions logged with the reason and the reviewer
How we help here
Related sectors
Get expert guidance on your social media product.
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Frequently asked questions
More than feels justified for the user count you expect. Reporting, a review queue, and enforcement actions have to exist on day one — abuse does not wait for scale, and a team building this during an incident builds it badly and under the worst possible pressure.
Only if deletion propagates to every copy — feeds, caches, notification payloads, and search indexes. A delete that removes the original row and leaves five derived copies is both a compliance failure and, more immediately, a broken promise to the user.
Ownership — your data, your rules, your monetization. We usually recommend starting there and graduating when the community outgrows rented land.
Layered: automated flags, reputation thresholds, and human queues — sized so a small team stays in control.
Yes — memberships, paid groups, and creator payouts are supported patterns.
{ Sources }
Standards and regulators referenced here
- Ministry of Electronics and Information Technology — data protection framework — MeitY, Government of India
- Regulation (EU) 2016/679 — GDPR — EUR-Lex
- Introduction to structured data markup — Google Search Central