Garmin Forerunner Race Predictor App

@starttechno

The .iq app will compare each completed course segment with its planned split, using Garmin’s native distance and current-pace data rather than duplicating sensor tracking. I’ll build a simple on-watch editor for segment distances and target times, then show the active segment, ahead/behind variance, elapsed progress, and recalculated projected finish time at a glance. I’ll implement the Monkey C activity flow with efficient updates, explicit handling for pauses, skipped segments, and segment boundaries, then provide an installable .iq file for your Forerunner and prepare it for Garmin app validation. You’ll receive the working app, configured test build, and source project in 5 days. The exact Forerunner model will determine the final compatible UI and API details. Should the planned segments be entered as distance plus target split time directly on the watch, or do you prefer importing them through Garmin Connect? Muhammad Saad

@mrresearcher99

Hello, I’m a full-stack developer with 10 years of experience building mobile applications and real-time data-driven systems. I can develop the Garmin Connect IQ application with a focused, battery-efficient architecture for tracking race progress against planned splits. I’ll implement an intuitive on-watch interface for configuring segment targets, then integrate Garmin’s native activity data for live pace and distance tracking. The app will calculate segment variance and continuously update the projected finish time based on actual performance, while correctly handling pauses, skipped segments, resets, and activity state changes. I’ll keep processing lightweight to minimize battery impact and ensure the UI remains clear during running. I’ll also handle the Connect IQ packaging, sideload testing workflow, validation requirements, and deployment-ready .iq build. I’d be glad to discuss the Garmin data APIs and prediction logic. Best regards

@Cumuc

Hello, Greetings , Good evening! I am professional mobile computer programmer with skills including C++ Programming, Android, API, Mobile App Development, App Development, Mobile Development, Software Testing and iPhone. Please contact me to discuss more about this project. Feel free to contact us to discuss your project

@ciss26

Hello there, Hope you are doing well We can develop your Garmin Forerunner race predictor as a Connect IQ application, focusing on accurate segment tracking, efficient use of Garmin native activity data, and a simple glanceable running interface. Proposed Technical Approach Platform Garmin Connect IQ SDK Monkey C Garmin Connect IQ APIs Forerunner-compatible device testing .iq packaging for sideloading and Connect IQ Store submission Core Functionality 1. Race Plan Setup Enter target split/segment times directly on the watch. Support editing planned segment distances/times. Store the race strategy locally on the device. Structure the plan so additional segments can be added or modified easily. 2. Live Running Data The app will consume the appropriate native Connect IQ activity/sensor data for: Current distance Running pace Activity state Pause/resume conditions Segment completion Processing will be optimized to avoid unnecessary background operations and minimize battery impact.

@pinkeegupta

Hi I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@adeelpirzada

Hi, I am Adeel. I have not shipped a Connect IQ watch app specifically, but I have built cross platform mobile apps in one codebase, including ComicBase, a MAUI app live on both the App Store and Google Play, so I am comfortable with device constrained UI and app store submission processes. For this I would start with the segment entry screen and the pace and distance data hooks, then build the recalculation logic once live data flow is confirmed on device, keeping background polling light to protect battery. I can share a short technical review of the approach and risks before any commitment, yours either way. Do you already have a Garmin developer account set up for the Connect IQ Store submission?

@umg536

Hi, With a comprehensive proficiencies in Android, API and App Development along with my solid C++ Programming skills, I believe I'm well-suited for delivering a superior Garmin Forerunner Race Predictor App. My astute technical expertise extends to Mobile App Development which is precisely what will be required for executing this project seamlessly. I'm very familiar with race strategy and understand how crucial it is to track one's performance against it, that's why I would thrive in developing a user-friendly screen for entering/editing the planned segment times directly on the watch. I'm particularly fond of developing real-time applications, which is another key skill that aligns with your project demand. This involves efficient background processing to preserve battery life whilst making sure the native live data on running pace and distance are accessible via Connect IQ API. Moreover, my proficiencies in the hardware side of things further complements your requirement by ensuring the packaging of the app is straightforward enough for you to sideload, test out firsthand on your Garmin Forerunner, and then smoothly submit to the Connect IQ Store. Ultimately, what sets me apart is not just my vast array of technical skills but my dedication to delivering reliable and scalable solutions under tight deadlines without ever compromising on quality. With my technological prowess and strong communication skills as a bonus, you can Best, Usama M Modular Solutions

@zainalitariq245

Hey there, I understand you need a Connect IQ app for Forerunner watches that lets runners enter planned segment splits, then compares live pace and distance against the plan and continuously updates the projected finish time. The key is making the display glanceable while correctly handling completed, skipped, and paused segments. I’d build around Garmin’s native activity data and Connect IQ APIs, keeping processing lightweight to preserve battery. I’d also make the split configuration practical on the watch, validate the prediction logic through a full test run, and package the .iq file for sideloading and Connect IQ Store submission. Which specific Forerunner models do you want supported for the initial release, since Connect IQ API capabilities can vary between devices? Looking forward to working together. My portfolio and client reviews, https://www.freelancer.com/u/zainalitariq245 Best regards, Zain Tariq.

@invoketech

HELLO, WE HAVE BUILT SIMILAR FITNESS, GPS AND WEARABLE APPLICATIONS AND CAN PROVIDE RELEVANT EXAMPLES. I have carefully reviewed your requirements and we can handle the complete Connect IQ app, from race-plan input to live prediction and final packaging. We have 10+ years of mobile development experience and can work with Garmin Connect IQ, Monkey C, native activity data, pace/distance tracking and battery-efficient processing. We can make the watch UI simple to operate during a race while correctly handling pauses, skipped segments and recalculations. Working Flow: Race Plan Setup → Enter and manage target split times for each course segment. Live Data → Read native pace and distance data through the Connect IQ APIs. Prediction Engine → Compare actual segment performance with the planned strategy and recalculate finish time. Watch UI → Display segment status, plan variance and updated predicted finish time clearly. Testing & Release → Test on the target Forerunner, generate the .iq package and prepare it for Connect IQ Store validation. We can share relevant wearable examples and start with a working prototype on your Forerunner. Thanks, Invoke Tech

@crtvecode

I see you're looking to create a Garmin Forerunner app that tracks race performance against planned splits. The key here is efficiently processing live data while managing battery life, especially with those logic for skipping segments or pausing. I can build a user-friendly interface for entering segment times, and make sure the app displays current pace, distance, and updated finish times clearly. I can have this ready for you to test first, so you can check everything works as expected before any payment or award. You only create the milestone once you're satisfied with the results, right? I’m ready to start immediately. My bid for this project is 169 GBP, which I think is pretty reasonable, given the scope of work involved. Rajavel - Your go-to developer for Garmin Connect IQ apps.

@msaqibimran

Hi, I see you're looking to create a race predictor app for the Garmin Forerunner. Given the features you want, I estimate that the initial development could take about 3-4 weeks, depending on testing and adjustments after your feedback. To ensure I meet your needs, can you clarify whether you'd prefer segment times to be editable only on the watch, or if you want options for both the watch and Garmin Express? Also, how many segments do you typically plan for your races? This will help in structuring the app's interface and logic effectively. My approach will focus on seamless integration with Garmin's live data for pace and distance, prioritizing battery efficiency while providing real-time updates on performance and predictions. With experience in developing Connect IQ apps, I'm ready to handle the app validation process and ensure it functions smoothly during your runs. Looking forward to discussing the details further. Best regards, Mohammad

@Tanmoy236

Hey! I specialize in mobile and wearable development with 9+ years of experience building sensor-driven applications and real-time tracking features. I can develop your Connect IQ app to read Garmin’s native pace and distance data, compare performance against planned splits, and continuously recalculate the projected finish time. Here’s how I can help: • Build an intuitive on-watch split planning and editing interface • Integrate Connect IQ sensors with efficient battery-conscious processing • Display segment status, pace variance, and projected finish time • Handle pauses, skipped segments, resets, and activity state changes I’ll package the app for sideload testing on your Forerunner, validate the full race flow, and prepare the final `.iq` build for Connect IQ Store submission. Could you clarify which Forerunner models you need supported, and whether the planned segments are fixed distances or based on specific course checkpoints?

@denisSolution

Hi, I'm Denis, a full-stack developer experienced in mobile applications and sensor data APIs. I understand your goal—a race pacing tool that reads live Garmin telemetry and dynamically recalculates finish time as you run. The core challenges are efficiently pulling pace and distance from Garmin sensors, processing data without draining battery, and displaying real-time feedback on a small screen. You'll also need robust logic for pauses and edge cases, plus a clean pre-race setup flow. I've built similar projects involving live sensor data, background processing on resource-constrained devices, and real-time calculations. The key is keeping the update loop lean and batching sensor reads intelligently to preserve battery. My approach: First, I'll review the Connect IQ API documentation to map available data streams and refresh rates. Then I'll build the core prediction engine—the math for recalculating finish time based on current pace and remaining distance. Next comes the UI layer for on-watch display and pre-race segment entry, followed by sensor integration. Testing will cover edge cases like pauses before sideload testing and Store submission. Battery efficiency is critical. The solution uses event-based updates where possible, batching calculations only when meaningful data changes occur rather than on every sensor tick. One realistic risk: Garmin's Connect IQ API may limit metric access frequency during active activities. We'd handle this by testing early on your

@jayantkumar314

As a Senior Software Engineer, I bring to the table a wealth of experience and skills that are directly relevant to your project. Having worked specifically on both Android and API development, I'm truly comfortable with the Connect IQ API for Garmin Forerunner line devices. My proficiency in C++ Programming further ensures its efficient use, which is crucial for preserving battery life on the device. Adding to my specialization, I also hold extensive knowledge and have practically implemented real-time data tracking and accuracy features in my previous works. Creating a user-friendly environment for your race predictor app that not only provides you with accurate, continuously updated data but is also simple to use and understand is something I'm well-suited for. This ensures you stay on track towards your target split times throughout the race. Additionally, having an in-depth understanding of publishing platform requirements will allow me to create a clean .iq app file that installing and passing app validation will be smooth processes. Remember, partnering with me doesn't just get you technical expertise but also someone who prioritizes long-term satisfaction and successful relationships. This project needs meticulous attention to detail - given my track record (pun intended), it's clear I should be your go-to choice!

@jonasdedzo

Hello I think you want to give runners a practical pacing companion directly on their Garmin Forerunner, helping them understand whether they are ahead or behind their race strategy and continuously estimate their finish time based on real performance. I’d love to turn this idea into a reliable, glanceable Connect IQ application. I can develop the app using Garmin’s Monkey C language and Connect IQ SDK, integrating native pace and distance data while keeping processing efficient for battery-conscious activity tracking. The interface will allow runners to enter planned segment times, monitor current progress, view pace variance, and receive updated finish-time predictions after each completed segment. I’ll also handle segment transitions, skipped segments, pauses, and reset logic carefully so the calculations remain accurate throughout an entire run. The deliverable will include a clean .iq package, installation instructions, and testing on your target Forerunner model before preparing the app for Garmin validation and store submission. My focus is simple interaction, dependable calculations, and a smooth real-world running experience. Looking forward to working with you. Thanks

@sufyanasmat38

As an experienced software engineer with a deep understanding of mobile app development and a specialized grasp in embedded systems, my team and I can translate your vision of the Garmin Forerunner Race Predictor app into a tangible, efficient solution. At Fourge, we're fluent with the Connect IQ API and have hands-on experience delivering powerful applications that optimize battery life through background processing. Our expertise includes Android, C++ programming, and IoT, all of which align beautifully with the requirements of your project.

@UzeeTech

A Forerunner race tool should make the plan readable at a glance: enter segment targets, compare live pace and distance, then update projected finish time without draining the watch. Pauses and skipped segments should be explicit states. I have not shipped a Connect IQ app to claim, so I won’t invent one. My work includes Jyotish AI on Android/web and B2B, e-commerce, and marketplace software, backed by 9+ years. I can build a Monkey C prototype with native activity data, efficient timer updates, settings, and screens. Segment input can start on-device; Connect/Express integration can be added only if supported. The app will store plan, elapsed segments, pause/resume markers, skips, variance, and projection rules. Cloud history can use Garmin Health after confirming authorization, scopes, formats, and limits. QA covers sensor gaps, pauses, skips, edits, battery behavior, validation, and .iq packaging. Delivery includes source, build, and tests. Which Forerunner models and SDK are required, and should input be on-watch? What projection formula and update interval should govern? £150 bid covers 14 days for prototype; final scope can follow review. I can start with the state model.

@PINESCRIPTERR

Hi, I can develop the Garmin Connect IQ app in Monkey C with a lightweight architecture focused on accurate race-strategy tracking and battery efficiency. I’ll implement segment-plan configuration, live pace/distance tracking, segment variance, projected finish-time calculations, pause/skip handling, a glanceable on-watch UI, and clean packaging for sideload testing and Connect IQ Store submission. Questione 1: Which Forerunner models should be supported initially, and do you already have the target Connect IQ SDK/API version? Questione 2: Should the finish prediction use the runner’s cumulative average pace, segment-specific performance, or a configurable calculation method? Regards, Houssame.

@naminghn

Hi there, I see that you're aiming to develop a Garmin Connect IQ app to help runners track their performance against planned race strategies. I can handle the critical features like real-time access to pace and distance using the Connect IQ API, along with a user-friendly interface for entering target split times directly on the watch. With my experience in mobile app development and working with API integrations, I'll ensure that the app preserves battery life while updating performance metrics accurately. I will focus on the logic to handle segment skips and pauses effectively, ensuring that the projected finish times are recalculated seamlessly. My goal is to provide you with a clean .iq app file that installs without issues and passes Garmin's validation processes. Happy to discuss the details and suggest the best technical approach. Regards, Ali