Daniel Pettersson

Daniel Pettersson

Founder building Shrimp Tank

🇸🇪 Sweden · 0 followers · 0 following
Comments
@appdaniel · 16 hours ago · Shrimp Tank

I built Shrimp Tank because freshwater shrimp care gets messy fast when tank history is spread across notes, reminders, photos, and spreadsheets.

Shrimp keepers often need to connect small events over time: water changes, parameter readings, care tasks, deaths, breeding, berried females, shrimplets, and changes in colony behavior. Generic aquarium apps usually treat that as basic logging, but shrimp tanks need more context.

Shrimp Tank is my attempt to make that history easier to keep and review across one tank or a full rack.

I’d love feedback from aquarium keepers, shrimp breeders, and anyone who has tried to manage tank care in spreadsheets or scattered notes. What would make this more useful for your own tanks?

The 5-minute copy-paste setup is a strong angle. For product-led growth tools, the biggest barrier is often not whether teams want onboarding, changelogs, NPS, or feedback widgets. It is whether adding them feels like another engineering project.

I like that Produktly combines onboarding, communication, and feedback in one place. I’d be curious how you help teams decide what to add first so they do not overwhelm users with too many widgets at once.

I like the angle here. A lot of founders start with “what can I build?” instead of “what problem keeps showing up often enough to be worth solving?” Using Reddit and online discussions as input makes sense because that is where people describe pain in their own words.

One thing I’d be curious about is how you separate loud complaints from commercially valuable problems. The scoring around urgency, frequency, and validation sounds like the important part.

This is a timely problem. More teams are starting to care not just where they rank in Google, but whether AI models mention them at all and in what context. I like that Brand Signal AI focuses on repeated prompt checks and visibility trends instead of treating AI search as a one-off manual test.

One thing I’d be curious about is whether you show which sources or pages may be influencing the model’s answer, since that would make the insights more actionable for SEO teams.