Stackboo
The weekly launch board for AI tools built by indie hackers
Developer Tools·AI & Machine Learning·Productivity
What is Stackboo?
Stackboo is a weekly launch board designed specifically for indie hackers and solo founders to showcase and discover AI products. It provides a platform where products are ranked by community votes rather than advertising budgets, ensuring a fair discovery process for new tools.
The platform is tailored for solo creators and independent developers looking to put their AI applications in front of the right audience. It features human-reviewed submissions, weekly launch cycles, and straightforward listing options to help founders gain visibility without breaking the bank.
What sets Stackboo apart is its dedicated focus on the indie and solo founder community, offering a transparent space to explore AI tools across categories like productivity, coding, agents, and infrastructure. It connects creators directly with users who appreciate bootstrapped and independent software.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
If we see you come back and you seem to be focused because whatever classes you're taking this semester are a great fit for Quizlet, maybe we should be refreshing that trial for you because we usually have added a lot of value. If it's been a year since they subscribed, often it's a nice way to say hey here's all the things we've added.
Refresh the free trial for re-engaged returners — but gate it on signal
Treat returning churned users like new users when enough time has passed — re-grant a trial and re-onboard them on the features added since they left. Gate the offer on engagement signals (current usage, time since churn) so you don't fund freeloaders cycling trials each exam season.
So far the results have been exactly our experiment results, which hardly ever happens. Usually when you release something out in the wild it's a little bit different. That is a credit to our growth marketing team and our product team — they really tested this rigorously.
Real-world rollout matching experiment results is the reward for rigorous testing
Most product experiments look messier in production than in a controlled test environment. The fact that Lose It!'s price doubling held up at full rollout is evidence of testing discipline: multiple platforms, multiple user cohorts, and enough duration to trust the signal before committing. Rigorous experimentation before a major price change is what lets you move decisively rather than nervously.
There's a play for whatever you're stuck on.
Read all 2722 playbooks