What's new

Time Trial events now show clearer Preparing, Open, Closed, and Finalized states. When an event is finalized, the Timing Board shows the finalized time, and laps uploaded after finalization no longer affect the leaderboard.

Platform Home now has a lighter background treatment, a clearer Navigation area, and a cleaner What's New section. The top header now includes Telemetry, Community, and Racing Ops menus so key pages are reachable without returning home, while the notification panel and bottom sheet have also been refined for a more comfortable layout.

Time Trial events can now be created around a track and car, with entrants ranked by their best lap on a dedicated leaderboard. The leaderboard has been refined to read more like a timing board, with event details and rules close at hand.

Paddock creation, public discovery, event-based team browsing, and join request review flows have been refined. Members, announcements, and team room chat were also improved so endurance teams and practice groups are easier to operate.

Lap Progress charts and track/car selection in Driver Profile have been refined. Point selection and trend display are more stable, and clicking a lap now leads more naturally into the matching session or Watch view.

Comments, replies, likes, subscriptions, and notifications now feel more responsive on Watch. Explore cards surface lap numbers and driving conditions like weather, air temperature, and track temperature in a lighter way, while the telemetry list now supports file downloads plus column sorting and filtering. Engine sound volume can also be adjusted during replay.

We expanded Explore and Watch around a public lap-by-lap flow, making it easier to browse and watch valid flying laps directly. Simulator chips, filters, and search were also refined so it is much easier to find the lap you want.

We refined the layout and metadata hierarchy of the public Watch page, and made the explore panel and comment flow feel more natural. Session names, paddock identity, and key actions like share and like are now clearer at a glance.

We reorganized the first paddock screen around race-focused stats and summaries. Race Laps, Race Sessions, race valid-lap rate, and race consistency now make it much easier to understand a driver's actual competitive running at a glance.

Accounts that have already linked iRacing and stored a customer ID no longer get blocked so aggressively on the home screen or bottom sheet. Relinking is now framed as something you only need when you want to refresh the latest iRacing data.

We refined hover sync and marker behavior in Cur/Ref corner comparison graphs, and added Steering, RPM, and Gear context. This makes it easier to read driving inputs and differences through each corner.

We added the SRLOG Desktop download page and Windows installer flow. After installing and connecting your account, you can start uploading sessions right away, and the web product now offers a clearer path into the desktop app.

We fixed an issue where speed values could appear far too large in Le Mans Ultimate analysis reports, along with mismatches in Cur/Ref comparison graphs and reference-line sync. LMU sessions should now feel much more consistent to review.

You can now compare against a reference-line vehicle marker directly on the track map, and analysis reports now include Cur/Ref comparison graphs for speed, throttle, and brake. This makes it much easier to see how the current run differs from the reference in each corner.

Supported tracks in telemetry can now be opened in a 3D preview before you open a session. The playable preview and corner markers make it easier to understand the flow of a layout at a glance.

We added Daily Races and Community Races to the Le Mans Ultimate events area, and RaceControl event Rules, Scoring, Drivers, and Results can now be viewed directly inside the product. Daily race cards were also refined so the next start time and remaining slots are easier to scan.

We refined the telemetry track map across 3D car models, ghost cars, camera presets, and grounding behavior. Top view now makes it easier to spot the active car, and per-car model and camera defaults were tuned so session review feels more natural.

We refined the Le Mans Ultimate `.duckdb` upload and analysis flow, and made corner, landmark, and session analysis generation more reliable. Supported-track guidance and upload help were also improved so LMU sessions are easier to load and review.

The iRacing league management flow now feels cleaner across briefing, result sharing, Discord server connection, and RSVP handling. League pages were also refined so upcoming rounds focus on RSVP counts while completed rounds focus on actual results.

Calendar now includes a My schedule mode that personalizes iRacing official events around your favorite series and the cars and tracks you already own. You can also see which track purchases would unlock the most favorite-series opportunities.

SRLOG now includes iRacing league pages where seasons, rounds, briefings, and results can be viewed together. All schedule now includes public league rounds, and community events can be selected into My schedule as well.

We added a search field to the supported corner-analysis track list at the bottom of telemetry, so you can quickly find whether a track and layout are available.

We expanded the 3D car models used in the telemetry track map with more GT3 variants and the Mazda MX-5, so sessions more often show a model that matches the car you drove.

When you select a corner in telemetry, the analysis card and comparison table now appear before any AI request, so you can inspect the current corner more quickly.

You can now see outer curbs directly on the track map, and cockpit-view camera settings can now be adjusted by each user.

You can now use another driver’s run from a similar session with the same track and car as your ghost and comparison reference. AI coaching now follows the selected comparison reference more consistently.

We made first-load telemetry sessions feel faster and more reliable, and cleaned up upload reward handling so the experience feels more consistent and predictable.

We made the home track preview feel more reliable, and cleaned up telemetry so it is easier to scan which track layouts are ready for corner analysis.

Telemetry now shows which track layouts are ready for corner analysis, and iRacing connection and theme behavior now feel more consistent across the product.

Upload progress now reads more naturally, and session guidance and delta feedback feel more consistent while you review a lap.

We refined the signup flow and cleaned up English copy across the product so switching languages feels more natural.

AI coaching now stays closer to the question you asked, with clearer comparisons and easier-to-read explanations during lap review.

We added paddock follows, personal best filters, a home dashboard, supporter token top-ups, and clearer session timestamps so it is easier to track your own driving and browse other drivers' sessions.

We refined AI response modes, auto selection, usage guidance, iRacing connection guidance, and the login flow so new users can get started with less friction.

The first full SRLOG release brings together 3D replay, AI coaching, session sharing, and circuit visualization in one product.

We tightened login state handling and usage guidance so account flows and AI access feel more predictable.

Lap reviews, corner-focused analysis, and comparison flows now read more naturally and are more useful for real driving review.

We cleaned up session browsing, upload, and storage so driving records are easier to collect and revisit later.

We expanded the 3D track map and reorganized the session library to make replay review and session browsing much smoother.

We cleaned up iRacing account linking and profile flows so telemetry data feels more connected after sign-in.

This was the first version where lap replay and corner-focused analysis came together into the foundation of the current SRLOG telemetry experience.

We expanded parser support and improved the upload flow so more real-world driving data can make it into the product.

We established the core product structure that later telemetry analysis and coaching features could build on.