The Prettiest Girl
You build a simple surprise page for her (photos, music, your words) and send one link. Cheaper than Netflix / one lunch out
If you’ve been meaning to do something cute, this is stupid easy. Might help
Hi devs,
I’m looking for guidance on handling **in-app purchases (IAP)** and subscription flows within mobile applications.
From my understanding, platform policies (particularly on iOS) allow external payment methods (e.g., via web or Android using third-party payment aggregators). However, this is only compliant if the app itself does not directly facilitate or promote those transactions within the app interface.
In my current use case, I’m developing an application that includes a subscription model. Users need to be informed about subscription plans and potentially access related details within the app. Given this constraint, I’m trying to determine:
* How to present subscription information without violating platform guidelines
* Whether it’s feasible to redirect users to external payment flows (e.g., web-based checkout) while remaining compliant
* Best practices for maintaining a seamless user experience under these restrictions
Additionally, the business has tight margins, making platform commissions (e.g., Apple's cut on IAP) a significant concern.
I’d appreciate any insights, architectural patterns, or real-world approaches others have used to handle similar scenarios.
Thanks in advance!
I'm 19, from India. I'll spend like 10$ for openAI , I'm trying to test for a project but I'm not able to pay through my debit card, it needs credit card and I don't have one, neither I can borrow from someone because ofcourse :))
is there any other way I could get it ?
Hey everyone,
I've built a Al tools that can generate Al websites, images, video on a single platform. Now you don't have to completely depends on foreign tools and paid platform because here you will get everything for free. You can generate code for website, edit the code, export the code for free.
Generate images and videos without any watermark for free.
I'm a student and building this independently, so your support would mean a lot:
Try it out Share feedback Suggest improvements And if you like it, please share it with others
Link: https://cubekits.vercel.app/
This is just the beginning, I'm still learning and working on improving it every day.
I got fed up with spam calls (especially those +91 140 ones 😤)
So I tried something different — instead of blocking numbers, I built a system that blocks patterns (like prefixes) BEFORE the phone even rings.
Now I’m testing it on my device and it’s actually working pretty well.
Curious — Do u want to test my app ?
For anyone studying Dog Segmentation Magic: YOLOv8 for Images and Videos (with Code):
The primary technical challenge addressed in this tutorial is the transition from standard object detection—which merely identifies a bounding box—to instance segmentation, which requires pixel-level accuracy. YOLOv8 was selected for this implementation because it maintains high inference speeds while providing a sophisticated architecture for mask prediction. By utilizing a model pre-trained on the COCO dataset, we can leverage transfer learning to achieve precise boundaries for canine subjects without the computational overhead typically associated with heavy transformer-based segmentation models.
The workflow begins with environment configuration using Python and OpenCV, followed by the initialization of the YOLOv8 segmentation variant. The logic focuses on processing both static image data and sequential video frames, where the model performs simultaneous detection and mask generation. This approach ensures that the spatial relationship of the subject is preserved across various scales and orientations, demonstrating how real-time segmentation can be integrated into broader computer vision pipelines.
Detailed written explanation and source code: https://eranfeit.net/fast-yolov8-dog-segmentation-tutorial-for-video-images/
Deep-dive video walkthrough: https://youtu.be/eaHpGjFSFYE
This content is provided for educational purposes only. The community is invited to provide constructive feedback or post technical questions regarding the implementation details.
Eran Feit
