Not Pink
Your bucket list, built for two
About
Not Pink is a shared bucket list for couples who want to do what they keep meaning to do. You and your partner move every idea through four phases together: Align (both agree it's something you want), Planning (decide when and where), Prepare (book it), and Relive (save photos and reflections after). Each phase needs confirmation from both of you, so the list reflects what you both want, not a one-sided wishlist.
Most couples apps chase daily engagement with quizzes and streaks. Not Pink focuses on real-world experiences: the trip you keep putting off, the weekend you promised each other last spring. We built this for couples past the honeymoon stage. You already know relationships take work. The app is warm and honest, and it syncs offline so you can use it on the trip.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch Now
FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Don't blame a price increase on inflation or something that consumers can't control — it's usually best to focus on your product and how it's getting better and how you're going to use this extra money to continue to make the product better.
Don't Blame Inflation — Lead With Product Value When Communicating Price Increases
Pointing to external cost pressures (inflation, content licensing) as justification for a price increase is psychologically ineffective — it reminds subscribers of things they resent and can't control. Reid DeRamus argues the superior framing anchors on the product's improving value and what the extra revenue enables. Subscribers who already love the product will respond far better to a forward-looking product story than to an economic apology.
I think that we'll see a lot of winners win harder because people will just get started and not want to fight the AI that has just sort of been trained to like 'oh use this solution.'
AI defaults mean winners win harder — get embedded as the default-recommended tool
LLMs default to whatever has the most training data, so Bolt and Lovable standardized on Supabase, and models reliably steer users to React, Expo, and a handful of incumbents. For distribution, getting embedded as the AI-recommended default compounds aggressively — fighting the model's defaults costs energy most users won't spend. New tools need to either crack the default or be unmissably superior.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
0