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Alex Venetidis
Alex Venetidis

September 1, 2025

August 2025 Updates

๐Ÿš€ August Highlights: InBody Goes Global, Faster APIs, and Rock-Solid Data ๐Ÿš€

๐Ÿ“ TL;DR

  • InBody goes global: region-aware phone auth with full country-code support and 1:1 parity with the native app.

  • Faster, clearer APIs: latency down, throughput up, with richer tracing and SLO alerts for quicker fixes.

  • Data you can trust: Komoot auth fixed, Apple athlete dispatch stabilized, Fitbit nutrition validated, and activity mappings updated.

 

august.webp

 

๐ŸŒ InBody, Reworked for Every Region:

๐Ÿ”Œ What?

Weโ€™ve rebuilt our InBody integration so it works seamlessly across regions, matching the appโ€™s own supported geographies 1-to-1. Users can now authenticate with phone numbers using all possible country codes, which means teams operating in multiple markets donโ€™t need separate onboarding flows or edge-case workarounds. The experience is consistent whether your users are in London, Seoul, or Sรฃo Paulo, and it respects local InBody login rules without extra developer effort. ๐ŸŒ๐Ÿ“ฑ

๐Ÿค” Why?

Customers increasingly support distributed user basesโ€”coaches, clinics, and employers with members everywhere. Regional mismatches and brittle phone auth were adding friction, missed activations, and support tickets. By delivering true parity with InBodyโ€™s regional rules, we raise conversion, reduce onboarding time, and eliminate fragile, market-specific hacks. Bottom line: faster go-lives and fewer headaches for global programs. โœ…๐ŸŒŽ

๐Ÿ’ป How?

Under the hood, we added robust country-code selection, and a resolver that routes requests to the right regional InBody endpoints, and we synced allowed regions directly with InBodyโ€™s policy so your UX never drifts from what the native app permits. ๐Ÿ”ง๐Ÿ”

 

โšก API Performance & Observability updates

๐Ÿ“… What?

We rolled out general performance increases across core API paths, improving p95/p99 latency, throughput, and tail stability during backfills and spikes. Alongside speed gains, we upgraded observability so issues surface sooner and are easier to trace. That means quicker endpoints for common reads/writes, steadier webhook fan-out under load, and sharper insight into where cycles are spent when providers push volume. ๐ŸŽ๏ธ๐Ÿ“Š

๐Ÿค” Why?

As customers scale, milliseconds matterโ€”for user retention, for unit economics, and for developer sanity. Stronger observability shortens MTTR and keeps your own SLAs green. Faster, more predictable APIs cut flake in CI, accelerate backfills, and keep dashboards snappy. The compounding effect is simple: less time firefighting, more time shipping features your users love. ๐Ÿ”ฅโžก๏ธโœจ

๐Ÿ’ป How?

We profiled hot routes, introduced smarter connection pooling, tuned DB indices and query plans, and added targeted in-memory caches with strict TTLs. On the async side, we refined queue concurrency, back-pressure, and batching to smooth traffic bursts. We tightened timeouts/retries by integration to avoid cascading failures and improved structured logs for faster root-cause drills. ๐Ÿ› ๏ธ๐Ÿงญ

 

๐Ÿฉบ Quality & Correctness Fixes

 

โŒš๏ธ ๏ธโ€What?

A round of high-impact fixes is live: we resolved Komoot authentication failures; ensured athlete data dispatch for Apple is consistently emitted; stopped Fitbit from sending empty or future-dated nutrition payloads; and updated activity-type mapping for Fitbit and WHOOP. Together, these changes improve data accuracy for training analytics, coaching apps, and downstream reporting. ๐Ÿงฉโœ…

๐Ÿค” Why?

Trustworthy data is the foundation of insights and automations. Mis-mapped activities distort leaderboards and training load; future-dated or empty nutrition skews adherence and macro trends; auth flakiness halts onboarding. Fixing these edge cases protects your coaching logic, scoring, and BI, and it prevents downstream corruption thatโ€™s far more expensive to unwind later. This is reliability that your users can feel. ๐Ÿ›ก๏ธ๐Ÿ“ˆ

๐Ÿ’ป How?

For Komoot, we corrected  hardened token refresh handling. Apple athlete dispatch now uses stricter serialization order and acknowledgements to prevent drops under burst conditions. Fitbit nutrition validation checks for clock skew and null records before publish. And our activity catalog got a canonical mapping pass with contract tests to keep future type updates aligned across providers, reducing misclassification in your pipelines. ๐Ÿ”๐Ÿ”’

 

These updates continue to push Terra toward offering the most comprehensive, user-friendly, and personalized health data platform, helping developers create experiences that drive engagement and improve usersโ€™ well-being. ๐ŸŒŸ

๐Ÿš€

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