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Work through datasets, reports, and insights with less friction. A cleaner setup for analysis that actually moves decisions.

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Explain is live on PH today! 🚀

Since our last update we have doubled the number of explainers made to 20k and we hope today's PH launch can bring an even bigger group of users testing Explain. We also have a Chrome Extension and plugins with ChatGPT and Claude to make it even easier to create Explainers anywhere.

Check out the launch and join the conversation here

📱 When Does SaaS Need a Mobile App?

Does every SaaS product need a mobile version?

For some products, mobile feels essential.
For others, it feels like forcing a desktop workflow onto a smaller screen.

We re building a mobile version for RunEvr - mainly to stay up to date, chat with the team, check project progress, and quickly respond when you re away from your desk.

A few things I m curious about:

9d ago

Anyone else building AI features without relying on external LLM APIs?

Hi all, there's a distinction I keep thinking about: apps built with AI (Cursor, Claude, Copilot writing the code) vs apps that depend on AI APIs at runtime to function.

I'm in the first camp. I used AI-assisted coding heavily to build Briskly (a cleaning app that scans your room and generates a timed task list), but the app itself makes zero LLM API calls. The scanning runs on Apple's Vision framework, entirely on-device. No tokens, no per-user inference costs, no latency, works offline, and my privacy label is basically empty.

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