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[Beeper] Allow users to combine user identities across servers | RequestHunt

[Beeper] Allow users to combine user identities across servers

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by @u/fka | 2/23/2026 | submitted by AutoCollector

[view original source]

The user wants the ability to combine user identities across servers to further aggregate stats in the Beeper analytics app.

Original Source

@u/fka | 78 pts | 2/23/2026

Hey everyone! I've been building **Deeper**, a native macOS app that connects to your local Beeper Desktop and turns your messaging data into interactive analytics. Deeper reads your chats from Beeper's local API (localhost only — nothing leaves your Mac) and gives you a full analytics dashboard across all your messaging platforms: iMessage, WhatsApp, Instagram, Telegram, Signal, Discord, Slack, X, and more. **Key features:** * **Dashboard:** total chats, unread count, messages sent today, most active hours (interactive chart per platform), connection categories (two-way, ghosting detection) * **People:** cross-platform contact merging (same person on WhatsApp + Instagram = one profile), sent/received breakdown, reciprocity scores, connection type badges * **Apple Intelligence summaries:** on-device conversation summaries using Foundation Models. Runs entirely on your Apple Silicon — no cloud, no API keys, no data ever leaves your Mac. Detects your system language automatically. * **Word analytics:** word frequency analysis, word clouds, bigrams, per-person phrase stats, total/unique word counts * **Response time leaderboard:** who replies fastest, who keeps you waiting. Shows your avg reply time vs theirs per person. * **Groups:** most active groups ranked by volume, largest by member count, per-platform breakdown with unread/muted/pinned indicators * **Reels leaderboard:** who you exchange the most Instagram Reels with, sent vs received * **Date range filtering:** week, month, quarter, or all time across all analytics views. **Tech:** * Native SwiftUI with macOS 26 Liquid Glass * SwiftUI Charts * Foundation Models framework for on-device LLM * Auth token stored in macOS Keychain * All data cached locally in \~/Library/Caches **Privacy:** Everything is 100% local. Deeper only connects to localhost:23373 (Beeper's local API). No telemetry, no tracking, no external requests. AI summaries run on-device via Apple Silicon. Open source under MIT, audit every line yourself. **Links:** * GitHub: [https://github.com/f/deeper](https://github.com/f/deeper) * Download (.dmg): [https://github.com/f/deeper/releases/latest](https://github.com/f/deeper/releases/latest) * Homebrew: `brew install f/tap/deeper` Requires macOS 26 Tahoe and Beeper Desktop running with the Developer API enabled. Would love any feedback or feature requests!

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