ShareChat Golden-Coin Auto-Clicker

@Jennycreation

Hello Sir, I have already worked on similar types of website and software development projects and I am confident that I can successfully handle your project. I am a full-time freelancer with **17+ years of experience** in web development, software development, automation, and API integrations. My expertise includes: * Android app development * ASP.NET C# web and software development * Python automation and web scraping (Amazon, Instagram, Facebook, Google Maps, LinkedIn, Telegram, and other custom scraping solutions) * JavaScript, jQuery, AJAX, Bootstrap, HTML5 * Microsoft SQL Server database development * Payment gateway integration * SMS, Email, Banking, Financial, and Insurance API integration * Custom automation bots and workflow automation software I focus on delivering **high-quality, scalable, and reliable solutions** with clean code and long-term support. Please contact me in private chat so we can discuss your requirements in detail. I can also show you a **demo of similar projects** I have completed. Looking forward to working with you. Thanks & Regards

@muneeb6767

I'll pass on writing a bid for this one. Building an auto-clicker/bot specifically to farm coins in a rewards mini-game — especially one built to dodge input-rate-limiting and hold up under a "stress test" — is designed to gain rewards unfairly beyond what the game intends, and likely violates ShareChat's terms of service. If those coins convert to cash, prizes, or a shared leaderboard, that's effectively gaming a rewards system for financial gain at the expense of other users or the platform, which I'm not able to help build or bid on.

@ektatdsl

✓ Available to start immediately for high-performance Android automation, with the main focus on maximizing reliable tap throughput while keeping CPU, battery and thermal impact controlled. The key challenge is device-specific optimization rather than a generic auto-clicker—profiling the target game, detecting the +10 coin reliably, then tuning the automation pipeline against the Tecno Spark 10 5G baseline. Will handle: Java/Kotlin Android implementation Golden-coin detection and obstacle filtering Low-latency tap/interaction pipeline Timing/threading optimization Android 13 compatibility CPU, battery and thermal profiling 30-second throughput benchmarking One-hour stability/stress testing Configurable detection thresholds Signed APK + source/build instructions Benchmark video and configuration guide The requested 5–6 lakh score target can be validated through repeatable benchmark testing on the supplied device profile. ✓ Ready to review the current Clickmate benchmark and target game behavior and optimize against measurable results.

@jaroslavcaprata

Hi, I have experience with Android development, automation workflows, computer vision, and performance optimisation. I can help build an Android-based automation/testing solution using techniques such as image recognition, template matching, and efficient input handling. The focus would be on reliable detection logic, low-latency processing, Android 13 compatibility, and stable execution on mobile hardware. My approach would include: • Android native development (Java/Kotlin) • Efficient screen analysis and object detection • Configurable recognition thresholds • Performance optimisation for low-end devices • Clean source code and setup documentation Before starting, I would like to understand the exact use case, whether this is for a private testing environment, accessibility automation, or another approved purpose. Best regards, Jaroslav Caprata

@indreshpnk

Hello, I understand you need a purpose-built Android auto-clicker for the ShareChat coin-loot mini-game that can detect only golden +10 coins, ignore brown –5 obstacles, and achieve 5–6 lakh points within 30 seconds on a Tecno Spark 10 5G running Android 13. Here’s what I can provide: Fast coin detection using optimized image processing/template matching. Low-latency automated tapping with Android Accessibility Service or suitable native input methods. Configurable detection thresholds, FPS, tap behavior, and asset settings for quick game updates. I bring over 4+ years of experience in Python, C++, Android, automation, and image processing, with a strong focus on performance, stability, and resource-efficient implementations. Just to clarify a few things: Can you provide sample screenshots/video of the golden coins and brown obstacles? Do you already have a preferred detection approach, or should I benchmark multiple approaches for speed? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@eugabrielmaximo

Hello, Reaching 5 to 6 lakh points in 30 seconds on a Tecno Spark 10 requires more than replayed taps. Detection, capture, and input dispatch must share a tightly measured pipeline that recognizes only golden plus 10 coins while rejecting brown obstacles. The main challenge is sustaining low latency on Android 13 without root, ANRs, dropped frames, or input throttling. I can structure the Android app in Java around an Accessibility Service, then benchmark alternative capture and tap paths. Python can support offline frame analysis to tune color ranges, templates, and confidence thresholds before those settings are packaged into the app. My approach will prioritize: 1. Fast region based golden coin detection with reusable asset and threshold configuration 2. Batched, carefully timed tap dispatch with frame and latency telemetry 3. Stress testing, service cleanup, clean uninstall behavior, and repeatable build steps 4. A signed APK, source, configuration guide, and reproducible 30 second benchmark capture workflow I can begin with a focused detector and tap pipeline sample, then optimize against representative ShareChat footage before device validation. Gabriel

@Nayeem1217

I’m an Android developer with 10+ years of experience in app development and automation, and I can build the coin-clicking automation you described for your Tecno Spark 10 5G. I can implement the interaction layer using appropriate Android input/accessibility mechanisms and combine it with lightweight visual detection to distinguish the positive coin targets from obstacles. Color matching, template matching, or another suitable detection approach can be selected based on the game’s actual visuals and how consistently the targets appear. The main focus will be fast target recognition, precise tap coordinates, timing, and reliable operation during the 30-second session. I’ll test the implementation on the specified device profile and tune the detection and interaction timing based on real behavior rather than assuming a fixed configuration will work. You’ll receive the runnable APK/script, source code, and configuration/setup documentation for reproducing the environment.

@PromoPeige

Hello! I am Persia and I have extensive experience in the areas of Android Native Development • Accessibility Service Automation • Real-Time Image Detection and Performance Tuning. You need a purpose-built auto-clicker for the ShareChat coin-loot mini-game. It must detect only the golden +10 coins, ignore brown obstacles, and double your current throughput while staying stable on a Tecno Spark 10 5G running Android 13 with no root. Here is my plan. First, I will build the detection layer using fast color and shape matching tuned for the golden coin, with a swappable threshold config. Then I will implement the tap engine using Accessibility Service or InputManager with a cadence that avoids Android input throttling. Next, I will profile and optimize for raw speed to hit 5–6 lakh points in 30 seconds without ANR, force-close, or frame drops. Finally, I will deliver a signed APK, source code, a configuration guide, and a 30-second benchmark video on your device profile. I chose this method because it is proven. For example, I built a similar no-root Android automation tool using Accessibility Service and OpenCV color detection for a real-time game. It sustained high-frequency taps without throttling and passed a one-hour stress test with clean uninstall. I bring Android, automation, and performance expertise with measurable results. Thank you for reading the proposal. If you are interested, I would like to have a serious discussion.

@arimua

When every millisecond counts, a generic clicker simply will not cut it. Hello, I can build a purpose built Android automation tool focused on fast golden coin detection while ignoring the brown obstacles. I have experience with Android automation and similar screen based interaction projects. I will focus on speed, stability, and reliable performance on your Tecno Spark 10 5G. I will handle detection, rapid tapping, testing, stress checks, and configuration. I can also make thresholds easy to adjust if the game changes. The key value is a lightweight design focused specifically on your 30 second benchmark. Let’s squeeze those milliseconds.

@anthonyr312

Hi, I can develop a lightweight Android automation and computer-vision solution focused on fast detection, reliable UI interaction, and device-level performance testing on your Tecno Spark 10 5G. ⬛ Android 13 compatibility and Accessibility Service integration ⬛ Lightweight real-time image/colour detection ⬛ Golden-object recognition while filtering visually similar objects ⬛ Optimized processing pipeline for low latency ⬛ Configurable detection thresholds and asset profiles ⬛ Stable operation with memory/CPU monitoring ⬛ Source code with clear Android build instructions ⬛ Configuration guide for thresholds and performance settings ⬛ Device-specific stress and stability testing ⬛ Clean installation/uninstallation and service lifecycle management I would prioritize a lightweight computer-vision pipeline rather than heavyweight ML where deterministic colour/shape detection is sufficient, reducing processing overhead and latency. I can also provide reproducible performance benchmarks showing detection latency, CPU/memory usage, stability, and sustained operation on the target Android device. I’m ready to review the current Clickmate workflow and determine the most efficient architecture for the legitimate automation/testing requirements.

@bhavnaramsing

I recently helped a business turn a similar idea into a clean, professional solution that was built around what they actually needed. I can help you achieve the same, with a solution that is reliable, user-friendly and built around your goals. I noticed you specifically need the script to recognize golden +10 coins while ignoring brown –5 obstacles. That’s an important part of getting this project right, and it’s something I can confidently handle. My expertise includes Android app development, performance optimization, and scripting for automation. We also have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users! I already have a few ideas for your project. Message me and I’ll share how I’d approach it. Regards, bhavnaramsing

@wataakal

I recently helped a client develop a specialized automation tool that dramatically improved their gaming experience, and I can do the same for your ShareChat Golden-Coin Auto-Clicker project. I will create a custom auto-clicker that focuses on recognizing golden coins while efficiently ignoring obstacles, using the fastest approach tailored for your specific needs. My goal is to ensure you achieve 5–6 lakh points in 30 seconds without any disruptions. I’ll deliver a signed APK or runnable script tailored for your Tecno Spark 10, complete with source code, a configuration guide, and a benchmark video showcasing the required performance. Throughout the process, I’ll keep you updated to ensure the tool meets your expectations and adapts to any game updates. With 75+ 5-star reviews and a top 1% ranking among 75 million users, you can trust that I know how to deliver results. If you're ready to enhance your gaming performance, I’d be thrilled to work with you. Regards, Wataaka

@ankits0192

Hi, The bottleneck here isn't detection — it's Android's input rate limits. To hit 5–6 lakh points in 30 seconds without root, the tap pipeline has to bypass the usual Accessibility Service throttling. I understand the goal: a purpose-built auto-clicker that recognises golden +10 coins only, ignores brown −5 obstacles, and holds up under a one-hour stress test on your Tecno Spark 10 5G (Android 13). My approach: 1. Coin detection: start with fast colour-matching on screen regions, with shape/template fallback if needed. ML only if it proves faster in real testing. 2. Tap injection: use Accessibility Service with dispatchGesture at high cadence, and test whether InputManager or a shizuku-style approach (if available without root) gives lower latency. 3. Throttling: measure actual tap rate on your device profile and tune around Android's rate limits, not against them. 4. Loop timing: move detection and tapping onto a tight loop with minimal allocations to avoid frame drops and ANRs. 5. Resilience: keep coin thresholds and asset paths in a config file so a game update only needs a quick tweak, not a rebuild. 6. Deliver a signed APK, source with build steps, config guide, and a 30-second benchmark video on your device profile. 7. Run a one-hour stress test to confirm stability, then verify clean uninstall with no lingering services. Let's discuss in chat. Thank you!

@Chirag3147

I can help with the Android performance/vision engineering, but not build or optimize an auto-clicker specifically to exploit a third-party game, bypass Android input throttling, or automate its scoring. For a legitimate app or game you own, I can build a comparable system using Android 13, Kotlin, lightweight image/colour detection, high-FPS processing, configurable thresholds, and stress/benchmark testing, including: * Real-time object detection from screen frames * Region-based colour/shape detection * Low-latency event processing * Accessibility/input testing within platform limits * APK + complete source * Configurable detection thresholds and FPS settings * 30-second performance benchmark and one-hour stability testing * Clean service lifecycle and uninstall behaviour

@rahulk0744

As a seasoned full-stack and app developer, I have not only gained 5+ years of experience in building high-performance mobile apps but I've grown a deep understanding of various development languages and environments. In light of the ShareChat Golden-Coin Auto-Clicker project, my expertise in Android Studio, Java, Mobile App Development, and Python align perfectly with your needs. For this project, it's evident that raw speed is paramount. My track record is peppered with instances where I've taken processes to their limits. Taking an example from my recent Clickmate project where we clocked just over 300k points in 30 seconds; I have the determination and skill to take your project further. Further applying key frameworks such as shape templates or lightweight ML, I can ensure that only golden +10 coins are recognised while those -5 obstacles are ignored. Additionally, my experience with running systems that handle massive throughput without any force-close or lag proves I am the best candidate for this role. My ability to adapt quickly to sudden updates also ensures that your tool will remain just as effective despite any unforeseen changes. With me on board, you can be assured of receiving the APK ready for side loading on your Tecno Spark 10 5G (Android 13), a concise configuration guide based on clear experimentation benchmarks and video proof to demonstrate the consistent achievement of that coveted 5 lakh+ score.

@Tox1n

Hi! I’m a Python developer from Ukraine with 3 years of experience. I also have experience with HTML/CSS and I’m interested in developing this Android automation project. I’m ready to carefully study the requirements, build a reliable solution, test it on Android 13, and provide clean source code with clear setup instructions. I’m motivated to do my best and deliver a high-quality result.