
ImgFiber - Lossless Image compression!
Shrink file size without losing quality – Completely FREE!
ImgFiber - Lossless Image compression! launched on April 6, 2025 with 17 votes, #1,302 of 7,818 launches that month and more than 75% of that year's launches.
What it does
100% Free! No File Size Limits! Processed Locally! (Nothing gets sent to our servers, everything happens right on your browser) This is NOT A FFmpeg wrapper! ImgFiber offers 10x better results compared to ANY current alternatives. try it now.
Does a similar job
all alternatives →- IBI Built ImgFiber-Better Image Optimizer. Free No Limits2025 · imgfiber.com · ▲40
No file size/upload limits. Processed locally right inside your browser. No Server Uploads. NOT A FFmpeg Wrapper. It's not like any other Alternatives, Try for yourself! Are you someone who deals with lots of images and always find yourself with your storage full? or Someone Who deals with websites optimization and would love to get that fast loading speed? No matter who you are, as long as you deal with Images, Imgfiber got your back! ⬇ Reduce image file sizes by up to 95% without losing quality! Supports all major formats: JPG, PNG, JPEG, GIF, SVG, and WebP. Works entirely in your…
CompressImage.io2022 · compressimage.io · ▲261Reduce image size up to 90% in seconds, free & works offline
ImgCompressor.shopApr 2026 · imgcompressor.shop · ▲2Compress images instantly without losing quality
Shrink my video – Opinionated ways to reduce video file size2021 · acailly.github.io · ▲22Online video size reducer


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Source: Product Hunt launch ↗
Launched alongside, April 2025
the whole month →
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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