Pinterest te faydal bir video, g rsel, GIF veya karusel i eri i buldu unuzda bunu cihaz n za kaydetmek bazen gere inden fazla zor olabiliyor. Baz ara lar yaln zca tek bir i erik t r n destekliyor, baz lar mobil cihazlarda d zg n al m yor, baz lar ise kullan c lar yo un reklamlar ve gereksiz ad mlarla kar la t r yor.
Bu sorunlara daha sade ve kullan l bir z m sunmak amac yla Pinterest Video ndir arac n geli tirdim.
Pinterest Video ndir, herkese a k Pinterest ba lant lar ndaki video, g rsel, GIF ve karusel i eriklerini kaydetmeye yard mc olan cretsiz ve taray c tabanl bir ara t r. Kullan c n n Pinterest ba lant s n kopyalay p araca yap t rmas yeterlidir.
I kept losing action items buried in my Apple Notes or other notes apps. Built a simple fix called Actio just tag your action items as you take down notes and it creates a task automatically with a link back to your note. This solves at least two problems with the need to switch between different app experiences:
As you take notes, things to follow-up on keeps getting thrown at you, and this allows you to mark those and track them with the full benefit of an actual To-Do list.
When you look at your To-Do item later, you can get context easily through the auto link feature back to the original note.
One thing that doesn't get enough attention in proxy discussions is how to handle failures in automated CI/CD environments. We recently moved our data validation tests to run on every PR, and the proxy layer became our biggest flake factor.
Here's what we figured out along the way:
1. Proxy failures break CI in unpredictable ways
A test that passes on your local machine can fail in CI simply because the CI environment is using a different proxy IP and that IP might be blocked or rate-limited. We spent two weeks chasing flaky tests before we realized the proxy was the culprit.
I built Argus after repeatedly getting frustrated with how opaque Claude Code sessions were there was no clear way to understand why a session cost more, looped, or behaved unexpectedly, so I designed a lightweight VSCode extension that parses the local .claude session logs and turns them into a visual, step-by-step time machine debugger, showing tool calls, token usage, retry loops, and file interactions in a way that s actually explorable; the core idea was to bring observability (something we take for granted in backend systems) into AI coding workflows, so I built it using a simple TypeScript + React stack with a focus on fast local analysis, heuristic-based insights, and zero external dependencies, iterating quickly by analyzing my own sessions and discovering patterns like repeated file reads and costly retry loops, which ultimately shaped the product into both a debugging and cost-visibility tool for developers using Claude Code.
