PixyTool
Free online PDF and image tools that run privately in your browser with zero file uploads.
Developer Tools·Design Tools·Productivity
What is PixyTool?
PixyTool is a free online suite of PDF and image tools, plus a set of developer utilities. Its PDF tools cover merging, splitting, compressing, signing, rotating, watermarking, cropping, and converting PDFs to text, JPG, or Word (.doc) files. Its image tools compress photos to exact sizes such as 20KB, 50KB, 100KB, 200KB, and 500KB, convert images to WebP, and generate favicons.
The site is aimed at people who need to meet file size or format requirements, such as applicants filling in exam, job, government, university, or bank forms, as well as anyone who wants quick document edits without installing software. The developer section includes tools like a JSON formatter, Base64 encoder, JWT decoder, UUID generator, regex tester, and color contrast checker.
What sets PixyTool apart, according to the page, is that processing happens in the browser using WebAssembly, so files are not sent to a server. The site states that its image compression keeps visual quality close to the original, though it makes no claims about specific compression ratios beyond the examples shown.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Sometimes you do a discount — you bring a lot of revenue but then those users are not going to renew. Or sometimes you do a price increase — you bring more revenue because your conversion goes down but not as much, but then you have a smaller pool to upgrade.
Discounted cohorts renew less — price-increase cohorts leave you fewer users to upgrade later
Every pricing intervention creates a downstream trade-off that only becomes visible months later. Discounting accelerates short-term revenue but damages renewal cohort quality. Raising prices improves ARPU but shrinks the base eligible for future upgrades. The only way to make an informed call is to model the full cohort lifecycle before deciding which trade-off is acceptable.
We got a 10 percent lift from the new screenshots. You put the old screenshots to 50, the new screenshots to 50, it runs until it gives you a high confidence rate and it tells you what percent better the new screenshots are as far as impressions to app downloads.
App Store Screenshot A/B Test Delivered 10% Lift With Apple's Built-In Tool
None to Run used Apple's native A/B testing in App Store Connect to compare old developer-designed screenshots against a professionally redesigned set. The test ran until statistical confidence was reached and showed a clean 10% lift in impression-to-download rate. It's a reminder that App Store creative is a lever most indie developers leave untouched — and the test infrastructure to measure it is now free and built in.
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