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Smoother first-install on iOS + deeper in-house analytics | 4.24
First-install iOS launch is more reliable; we've moved from third-party stats to deep in-house insight
Hey Pickful community,
Two updates today: one you’ll feel directly on iOS, and one happening behind the scenes in our admin dashboard that shapes how we make product decisions going forward.
📱 iOS: no more “Please check your connection” wall on first install
A few of you reported that right after installing the app, opening it for the very first time on a shaky network (subway, weak café Wi-Fi, mid-handoff between 4G and Wi-Fi) would land you on a “no network connection” screen — you’d have to manually tap retry once before it’d come up. This only happens on that first install-and-open; once you’re past it, it doesn’t come back. Root cause: the launch path didn’t handle network jitter or system-level “cellular denied” states gracefully.
✅ v1.5.9 (approved today, live now)
The app now runs a launch probe at startup — it confirms the connection works, and if not, shows a clear message with a Retry button instead of leaving you stuck. Update from the App Store and you’ll have it.
🔜 v1.5.11 (submitted for review)
To make first-launch reliability airtight, we also added:
- 🔁 Auto-retry when the network recovers — no need to tap anything
- 📵 “Cellular data denied” detected separately — clearer message, no more generic-error confusion
- 🧘 Error state suppressed while the scene is inactive — re-checks when you come back
- 🌀 Centered launch spinner — matches Hotwire’s native loading indicator
It’ll roll out automatically once Apple approves it.
📊 Admin: from third-party stats to deep in-house insight
We had visitor analytics before — but it was a third-party tool. Quick to wire up, fine for generic metrics, but it can’t slice things by Pickful-specific dimensions (content type, user tier, behavior path). Today we moved analytics in-house:
- Self-hosted server-side analytics with bot detection: built on ahoy_matey, separating real human visits from crawlers and search bots — and now the data is fully ours, ready to be sliced by content type, topic, user cohort, or whatever question we want to answer next
- Backfilled login DAU history: Devise tracks each user’s last sign-in timestamp, so we used that to reconstruct a months-long active-users curve going back to launch (each user contributes at most two data points, so it’s a lower-bound trend, not a faithful replay)
- 1-year period view: the analytics page now has a 1y option, with weekly bucketing for long ranges so the chart isn’t drowned in 365 noisy points
Why share this with you? Because people in the community keep asking “how many users does Pickful have now?” or “how’s growth lately?” — third-party tools could only give us so much. Now we can answer more precisely, and our product decisions (which features to invest in, when to introduce paid features, what pace to ship at) rest on a sturdier foundation.
On privacy: analytics run server-side, no third-party SDK, no cross-site identity stitching. Bot traffic is classified separately and excluded from “real visitor” counts.
💬 To the community
Two seconds at app launch, and one trend line in the admin dashboard — one is your daily experience, the other is our compass for what to build next. Neither is a big deal alone; together, they make Pickful a notch more solid.
The iOS reliability update applies to iOS only — install the latest from the App Store. v1.5.11 will push automatically after review. The analytics work is server-side on the web, requires no action from you.
If you still hit a stuck first launch, please share the network conditions — it really helps us track down the last edge cases.
Pickful Team
April 24, 2026
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