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Maker History
- BLACKBOX AIThe #1 AI Agent for Builders
- AI Operator by BLACKBOX AIMay 2025
- BLACKBOXJan 2022
Forums
First Time Launching on Product Hunt!
Hey everyone, we just launched today on PH. We built a chrome extension where you can copy text from videos, images, pdf...literally anything you see on any website. This is superhelpful when you see a text you want to copy, but unfortunately, you can't. Especially if it's a video and image :) https://www.producthunt.com/post... Anyway, we have a bit more than 200,000 users and we were always when is the right time to launch on product hunt, wanting to make sure it's a perfect launch. At the end we said, f*$%k it, let's do it! Hopefully the PH community will love it and BLACKBOX will be #1 Product of the Day!
Play now. Pay later: Trying a new pricing experiment
Play now. Pay later. That's the new zero-friction pricing experiment that we are running at thursday.social. Thursday has been getting excellent traction since we launched it 3 months ago right here on Product Hunt. 4000 socials have been created so far on Thursday. It is a promising start, but... WHERE IS THE MONEY??? If your customer is going to take out their wallet and pay for your product, you know their pain is real, and your product is the remedy they were looking for. There is no better validation than this. We have worked very hard to keep things simple on Thursday. Anything that adds friction is removed. Bye-bye sign-ups. We wanted the same for our pricing model - zero friction. You don't have to sign-up and pay first. Instead, you pay at the end - after you are done with the social. Well, we are believers - believers in the goodness of people - that they will do the right thing. The best thing was that we could put everything together (from UX to implementation) in a day and with very minimal dev effort. How much are we charging? Thursday is free for teams of up to 7 people. For teams of 8 and above, we charge $19 per social. Once again, play first, pay later. What say? What other interesting pricing models have you seen or have implemented yourself?