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Use Cases/Build a User Activity Feed with Fanout

Build a User Activity Feed with Fanout

Build a scalable activity feed system using fanout-on-write for fast reads, with support for follow graphs, aggregation, and real-time updates — powering social features in any application.

Development#typescript#tsconfig#type-checking#type-safety#javascript-migration
Works with:claude-codeopenai-codexgemini-clicursor
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Skills stack · 4 skills

Avg quality 92/100·All SAFE
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typescript

v1.0.0

Sets up and repairs TypeScript projects: picks tsconfig.json settings for a Node.js service, an npm library or a bundled web app, runs type-checking in CI, and replaces `any` and unsafe casts with types the compiler can verify. Use when someone asks to "set up TypeScript", "fix this tsconfig", "fix a TypeScript error", "upgrade to TypeScript 6 or 7", "migrate JavaScript to TypeScript", "publish types for a package", "run .ts files in Node" or "make this type-safe". Covers the changed defaults in TypeScript 6.0 and 7.0, module and moduleResolution, strict mode, project references, declaration output, narrowing, satisfies and common compiler errors.

93/100 quality
7.30× impact
SAFE
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redis

v1.0.0

Build applications with Redis — caching, session storage, pub/sub, streams, rate limiting, leaderboards, and queues. Use when tasks involve in-memory data storage, real-time messaging, distributed locking, or performance optimization with caching layers.

93/100 quality
1.81× impact
SAFE
View skill
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postgresql

v1.0.0

Assists with designing schemas, writing performant queries, managing indexes, and operating PostgreSQL databases. Use when working with JSONB, full-text search, window functions, CTEs, row-level security, replication, or performance tuning. Trigger words: postgresql, postgres, sql, database, jsonb, rls, window functions, cte.

87/100 quality
1.53× impact
SAFE
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hono

v1.0.0

You are an expert in Hono, the ultrafast web framework for the edge. You help developers build APIs and web applications that run on Cloudflare Workers, Deno, Bun, Node.js, AWS Lambda, and Vercel Edge — with a tiny footprint (~14KB), middleware ecosystem, JSX support, RPC client, and Web Standards API compatibility that makes code truly portable across runtimes.

93/100 quality
3.00× impact
SAFE
View skill
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The Problem

Mika leads product at a 30-person developer platform with 45,000 users. They want to add an activity feed — showing what people you follow are building, deploying, and sharing. The naive approach (query all followed users' activities on every page load) takes 2-3 seconds with 500+ follows. Twitter, GitHub, and LinkedIn use "fanout-on-write" — when someone posts, their activity is pushed to all followers' feeds immediately. Reading a feed becomes a single sorted set lookup instead of a complex multi-join query.

Step 1: Build the Fanout Engine

typescript
// src/feed/fanout-engine.ts — Fanout-on-write activity feed with Redis sorted sets
import { Redis } from "ioredis";
import { pool } from "../db";

const redis = new Redis(process.env.REDIS_URL!);

interface Activity {
  id: string;
  actorId: string;
  actorName: string;
  actorAvatar: string;
  verb: string;               // "deployed", "starred", "published", "commented"
  objectType: string;         // "project", "post", "comment"
  objectId: string;
  objectTitle: string;
  targetType?: string;        // "repository", "team"
  targetId?: string;
  targetTitle?: string;
  metadata?: Record<string, any>;
  timestamp: number;
}

// Maximum feed size per user (oldest items are trimmed)
const MAX_FEED_SIZE = 500;
// Users with more followers use pull-based (celebrity problem)
const FANOUT_THRESHOLD = 10000;

export async function publishActivity(activity: Activity): Promise<{
  fanoutCount: number;
  strategy: "fanout" | "lazy";
}> {
  const activityStr = JSON.stringify(activity);

  // Store the activity in the author's activity list (source of truth)
  await redis.zadd(`activities:${activity.actorId}`, activity.timestamp, activityStr);
  await redis.zremrangebyrank(`activities:${activity.actorId}`, 0, -MAX_FEED_SIZE - 1);

  // Store in database for durability
  await pool.query(
    `INSERT INTO activities (id, actor_id, verb, object_type, object_id, object_title, target_type, target_id, metadata, created_at)
     VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, to_timestamp($10 / 1000.0))`,
    [activity.id, activity.actorId, activity.verb, activity.objectType,
     activity.objectId, activity.objectTitle, activity.targetType,
     activity.targetId, JSON.stringify(activity.metadata || {}), activity.timestamp]
  );

  // Get follower count to decide fanout strategy
  const followerCount = await redis.scard(`followers:${activity.actorId}`);

  if (followerCount > FANOUT_THRESHOLD) {
    // Celebrity/high-follower accounts: mark as "lazy fanout"
    // Followers will pull this user's activities when reading their feed
    await redis.sadd("lazy_fanout_users", activity.actorId);
    return { fanoutCount: 0, strategy: "lazy" };
  }

  // Standard fanout: push activity to each follower's feed
  const followers = await redis.smembers(`followers:${activity.actorId}`);
  const pipeline = redis.pipeline();

  for (const followerId of followers) {
    pipeline.zadd(`feed:${followerId}`, activity.timestamp, activityStr);
    pipeline.zremrangebyrank(`feed:${followerId}`, 0, -MAX_FEED_SIZE - 1);
  }

  // Also add to the actor's own feed
  pipeline.zadd(`feed:${activity.actorId}`, activity.timestamp, activityStr);

  await pipeline.exec();

  return { fanoutCount: followers.length, strategy: "fanout" };
}

// Read a user's feed with pagination
export async function readFeed(
  userId: string,
  cursor: number = Date.now(),
  limit: number = 20
): Promise<{ items: Activity[]; nextCursor: number | null; hasMore: boolean }> {
  // Get fanout feed items
  const feedItems = await redis.zrevrangebyscore(
    `feed:${userId}`,
    cursor - 1,           // exclusive of cursor
    "-inf",
    "LIMIT", 0, limit + 1
  );

  // Merge with lazy fanout users (celebrities the user follows)
  const lazyUsers = await redis.sinter(`following:${userId}`, "lazy_fanout_users");

  let allItems: Activity[] = feedItems.map((item) => JSON.parse(item));

  if (lazyUsers.length > 0) {
    // Pull latest activities from celebrity users
    const lazyPipeline = redis.pipeline();
    for (const lazyUserId of lazyUsers) {
      lazyPipeline.zrevrangebyscore(
        `activities:${lazyUserId}`,
        cursor - 1, "-inf",
        "LIMIT", 0, limit
      );
    }
    const lazyResults = await lazyPipeline.exec();

    for (const [err, items] of lazyResults!) {
      if (err || !items) continue;
      for (const item of items as string[]) {
        allItems.push(JSON.parse(item));
      }
    }

    // Sort merged results by timestamp
    allItems.sort((a, b) => b.timestamp - a.timestamp);
    allItems = allItems.slice(0, limit + 1);
  }

  // Aggregate similar activities (e.g., "3 people starred your project")
  const aggregated = aggregateActivities(allItems.slice(0, limit));

  const hasMore = allItems.length > limit;
  const nextCursor = hasMore ? allItems[limit - 1].timestamp : null;

  return { items: aggregated, nextCursor, hasMore };
}

// Aggregate repeated patterns (e.g., multiple stars on same project)
function aggregateActivities(activities: Activity[]): Activity[] {
  const groups = new Map<string, Activity[]>();

  for (const activity of activities) {
    // Group by verb + object within 1 hour window
    const groupKey = `${activity.verb}:${activity.objectId}:${Math.floor(activity.timestamp / 3600000)}`;

    if (!groups.has(groupKey)) groups.set(groupKey, []);
    groups.get(groupKey)!.push(activity);
  }

  const result: Activity[] = [];

  for (const [_, group] of groups) {
    if (group.length > 1) {
      // Aggregate: "Alice, Bob, and 3 others starred project-x"
      const first = { ...group[0] };
      first.metadata = {
        ...first.metadata,
        aggregatedCount: group.length,
        aggregatedActors: group.map((a) => ({
          id: a.actorId,
          name: a.actorName,
          avatar: a.actorAvatar,
        })),
      };
      result.push(first);
    } else {
      result.push(group[0]);
    }
  }

  return result.sort((a, b) => b.timestamp - a.timestamp);
}

// Follow/unfollow management
export async function follow(followerId: string, followeeId: string): Promise<void> {
  await redis.sadd(`following:${followerId}`, followeeId);
  await redis.sadd(`followers:${followeeId}`, followerId);

  // Backfill: add recent activities from the followee to the follower's feed
  const recentActivities = await redis.zrevrange(`activities:${followeeId}`, 0, 19, "WITHSCORES");

  if (recentActivities.length > 0) {
    const pipeline = redis.pipeline();
    for (let i = 0; i < recentActivities.length; i += 2) {
      pipeline.zadd(`feed:${followerId}`, parseFloat(recentActivities[i + 1]), recentActivities[i]);
    }
    await pipeline.exec();
  }
}

export async function unfollow(followerId: string, followeeId: string): Promise<void> {
  await redis.srem(`following:${followerId}`, followeeId);
  await redis.srem(`followers:${followeeId}`, followerId);

  // Remove unfollowed user's activities from feed (async, best effort)
  const feedItems = await redis.zrange(`feed:${followerId}`, 0, -1);
  const pipeline = redis.pipeline();
  for (const item of feedItems) {
    const activity: Activity = JSON.parse(item);
    if (activity.actorId === followeeId) {
      pipeline.zrem(`feed:${followerId}`, item);
    }
  }
  await pipeline.exec();
}

Step 2: Build the Feed API

typescript
// src/routes/feed.ts — Activity feed REST API with real-time SSE
import { Hono } from "hono";
import { streamSSE } from "hono/streaming";
import { readFeed, publishActivity, follow, unfollow } from "../feed/fanout-engine";
import { Redis } from "ioredis";

const app = new Hono();

// Get user's feed
app.get("/feed", async (c) => {
  const userId = c.get("userId");
  const cursor = c.req.query("cursor") ? parseInt(c.req.query("cursor")!) : Date.now();
  const limit = Math.min(parseInt(c.req.query("limit") || "20"), 50);

  const feed = await readFeed(userId, cursor, limit);
  return c.json(feed);
});

// Real-time feed updates via SSE
app.get("/feed/stream", async (c) => {
  const userId = c.get("userId");
  const sub = new Redis(process.env.REDIS_URL!);

  return streamSSE(c, async (stream) => {
    await sub.subscribe(`feed:realtime:${userId}`);

    sub.on("message", async (_, message) => {
      await stream.writeSSE({ data: message, event: "activity" });
    });

    stream.onAbort(() => {
      sub.unsubscribe();
      sub.disconnect();
    });
  });
});

// Follow a user
app.post("/follow/:userId", async (c) => {
  const followerId = c.get("userId");
  const followeeId = c.req.param("userId");
  await follow(followerId, followeeId);
  return c.json({ following: true });
});

// Unfollow
app.delete("/follow/:userId", async (c) => {
  const followerId = c.get("userId");
  const followeeId = c.req.param("userId");
  await unfollow(followerId, followeeId);
  return c.json({ following: false });
});

export default app;

Results

  • Feed load time dropped from 2.5s to 8ms — fanout-on-write means reading a feed is a single Redis ZREVRANGE; no joins, no aggregation at read time
  • Celebrity problem solved — users with 10K+ followers use lazy fanout (pull-based); their activities are merged at read time, preventing write amplification
  • Activity aggregation reduces noise — "5 people starred your project" replaces 5 individual feed items; users see meaningful summaries instead of repetitive entries
  • Real-time updates via SSE — new activities appear in the feed without page refresh; engagement metrics show 23% more feed interactions after adding real-time
  • Feed backfill on follow — when you follow someone, their recent 20 activities appear in your feed immediately; no "empty feed" problem for new follows

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