
PrintBlob
Product designer for WooCommerce print shops, free on WordPress.org
What is PrintBlob?
PrintBlob is a product designer for WooCommerce shops that print their own orders: t-shirts, hoodies, mugs, bags and more. Shoppers place photos, logos and text on the product page, typing straight onto the product, in every colour the shop sells, and every order keeps its design.
The free plugin on WordPress.org is the complete designer on the bundled t-shirt's front, with every colour from one photo, a warning below 150 DPI, and each order's design and the customer's images kept with it.
PrintBlob Pro adds what a print shop needs at the press: print-ready files of every order (a 300 DPI PNG, a vector PDF and an SVG per side, and a CMYK PDF through the printer's ICC profile), your own products and photos with print areas drawn on them, back and sleeve printing, a 3D view made from the product's own photos, a print queue with each order's files in one ZIP, design templates, a clipart library, names and numbers for team orders, quantity breaks and custom fonts.
It runs on the shop's own server: no monthly fee, no fee on sales and no product limit. Pro is $99 a year ($69 for the first year until 31 December 2026), with a full refund within 14 days.
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What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I knew that that was an opportunity like the amount of we call it like earned media now but I was just like yeah I got to get as many people and capture their information as much as I can because I knew that that was my cheat code
Build your waitlist before the press moment
Before attending the FTC press conference, Aaron built nomorobo.com with a single email capture box and no product. By the time the app launched months later, he had 30,000 email addresses — all from earned media he converted at the moment of peak attention. Treat any high-visibility event as a demand-capture opportunity: the list is your proof of market and your launch engine.
Revisit your assumption every now and then — every 6 months or whatever — or at least control that gap between what we're sending and what is actually happening is not too big.
Revisit signal engineering assumptions every 6 months — they drift as your business changes
Signal engineering is not a set-and-forget system. Pricing changes, monetisation experiments, new channels, and macroeconomic shifts all alter which users are actually valuable — meaning the engineered values sent to ad platforms gradually diverge from reality. Thomas Petit monitors the gap between predicted and actual value; when it widens beyond acceptable tolerances (especially at the country level), he updates the model rather than letting the platform optimise against stale assumptions.
There's a play for whatever you're stuck on.
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