Build a Daily Digest From a Watchlist of Accounts
Turn a list of accounts you care about, the experts, competitors, founders, and news desks in your space, into one recurring briefing: pull each account's recent posts, keep only the topics that matter, and have an AI assistant compress the result into a digest you read in two minutes. This is the "morning brief" pattern: a watchlist, a topic filter, and a schedule. Xpoz serves it by giving an AI assistant per-account post data from Twitter/X, Instagram, and TikTok in one subscription, queried in plain English, with a free tier to start.
Last updated: August 2, 2026
The Problem
Feed-checking does not scale. The typical social media user already spends about [2 hours 21 minutes a day on social platforms](https://datareportal.com/reports/digital-2026-global-overview-report) (DataReportal, Digital 2026), and a professional watching 20 accounts across three platforms is fighting three ranked feeds engineered to show something other than the accounts they chose to follow. Algorithmic feeds bury the signal. Following an account does not mean seeing its posts: feeds rank by predicted engagement, so a competitor's quiet product announcement or an expert's technical thread loses to whatever performed best that hour. The posts a researcher most needs are exactly the ones least likely to surface. Most of what a watchlist posts is noise for your purpose. An AI researcher tracking 15 lab accounts wants model releases and benchmark results, not conference selfies. Topic filtering is the difference between a digest someone reads daily and another unread feed, and doing it by hand means opening every profile, every day.
The Workflow
### Step 1: Define the Watchlist
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Pull a Twitter/X account's latest posts
>"Get the posts from @openai in the last 24 hours. Show text, posted time, likes, and reposts, newest first."
Sweep a whole watchlist with a topic filter
>"For each of @anthropic, @openai, @genai_lab, and @mlnewsdesk, get posts from the last 24 hours. Keep only posts about model releases, pricing, or benchmarks. Summarize each kept post in one line with a link."
Add Instagram and TikTok accounts to the sweep
>"Get yesterday's posts from creator_handle on Instagram and brand_handle on TikTok. Include captions, views, and likes, and flag any post mentioning a product launch."
Build the digest itself
>"From the posts you just collected, write my morning brief: top 5 items ranked by importance to a social data startup, one sentence each, with links and engagement counts."
Why XPOZ
Frequently Asked Questions
An account watchlist digest is a recurring summary of what a chosen set of accounts posted, filtered to the topics you care about. Instead of checking feeds, you define the accounts once, and an AI assistant pulls their recent posts through Xpoz, filters them in plain language, and delivers one briefing on a schedule.
Query the accounts directly instead of scrolling. Through Xpoz, an AI assistant pulls each account's recent posts as structured data (per-author queries on Twitter/X, per-user post pulls on Instagram and TikTok), applies your topic filter, and summarizes the result. Scheduled daily, it replaces feed-checking entirely.
Yes, and the filter is plain language rather than Boolean rules. Tell the assistant what counts as signal ("model releases, pricing changes, security incidents") and what to drop ("event promotion, reposts, hiring posts"). Because an AI applies the filter, it handles judgment calls like "sounds like a product announcement".
The sweep pattern works for any watchlist size; each account is one query per run. For standing coverage, Xpoz plans include tracked keywords/users (1 on Free, 10 on Pro, 30 on Max, with more available as add-ons), which improve freshness for the accounts you designate. Many users sweep 20-50 accounts daily.
Twitter/X, Instagram, and TikTok all support per-account post pulls through Xpoz; Reddit coverage is keyword-based (track a person or brand by name across subreddits). All four platforms are in one subscription, with a free tier of up to 75,000 results to start.
Get Started
Connect Xpoz to your AI assistant (Claude, ChatGPT, or any MCP-compatible agent): add the connector URL `https://mcp.xpoz.ai/mcp`
Paste your watchlist into the chat and ask for yesterday's posts from each account
Refine the topic filter until the digest reads clean
Schedule the prompt (a cron job in Claude Code or your agent runtime) and route the output to Slack or email
The free tier (up to 75,000 results) covers a daily digest over a small watchlist; Pro at $20/month (up to 5,000,000 results/month) covers production-size watchlists with room for ad-hoc research. ## Related Use Cases - **Know What Your Competitors Are Doing Before They Announce It**: The competitor-specific slice of the same pattern, keyed on announcements rather than a standing watchlist. - **Monitor Competitor Audience Growth Trends**: Watch the accounts' audiences instead of their posts; pairs with the digest for a full competitor radar. - **Social Intelligence for AI Agents**: The agent-side foundation: how AI assistants query social data through MCP, which this digest runs on.
Related Use Cases
Know What Your Competitors Are Doing Before They Announce It
Build a competitive intelligence system using Xpoz MCP and Claude that tracks competitor mentions, product launches, and market positioning—giving you strategic insight before public announcements happen.
MarketingMonitor Competitor Audience Growth Trends
Track how competitor audiences grow over time to identify successful strategies, spot market shifts early, and benchmark your own performance against industry leaders.
MarketingSocial Intelligence for AI Agents
Give your AI agents the ability to understand social media conversations, identify influencers, and analyze audience sentiment—all through natural language queries.
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