We re building SmartDial for outbound sales teams and shipping fast. Right now using Firebase, and it s getting tricky balancing speed with stability.

Curious how do you manage staging vs prod environments when you re still validating and iterating weekly?

Do you set both up properly from day one, or fake it until things stabilize?

I love reviewing. My all time favorite site for reviews is probably Metacritic, but of course Yelp, Google Maps reviews, rottentomatoes, and opencritic are great; a lot of hype for Letterboxd lately but it's kinda not been to my taste. Any other recommendations of the best sites out there for reviewing stuff?

That s the challenge we kept running into.

Whether it's LinkedIn intros, email follow-ups, or proposal replies it gets repetitive fast.

We built a small feature in Slashit App that made a big difference for us: Dynamic Fields.

Now you can set up smart templates like:

Just diving into SmartDial! We're in BETA right now, and it's built for sales teams using Zoom Phone. Think of it as an all-in-one dialing tool to streamline your calls.

We aim to help you cut down wrap-up time, manage callbacks, and generally boost your call efficiency. It handles call notes and callback reminders, so nothing slips through the cracks.

We're curious to get your insights:

What are your biggest pain points with sales dialing or managing call workflows?

Just looking into Appwrite, the open-source backend that packs a lot in one spot: Auth, Databases, Storage, Serverless Functions, Realtime, and Messaging. It seems designed to speed up development, letting you self-host or use their cloud, and it works with many languages.

I'm curious:

How has Appwrite worked out for you in practice?

How does an "all-in-one" compare to using separate tools in your workflow?

Product Hunters,

Let's talk about Anthropic's Claude. Everyone praises its focus on safety and responsible AI, which is admirable. But I can't help but wonder: does this intense safety alignment sometimes come at the cost of raw capability or uncensored utility, especially when compared to rivals like GPT-4?

Is "safety" becoming a convenient justification for certain limitations, or is it genuinely paving the way for a more trustworthy, albeit potentially more cautious, AI? What are your thoughts on this balance? Does Claude's "helpful and harmless" sometimes feel... too careful for real-world innovation?

Hit me with your honest opinions.

We got 3 users first day!

After struggling with clunky dialers and messy outbound workflows, we built SmartDial: a focused, fast dialer that works directly with Zoom Phone for sales teams who live on calls.

We didn t plan to build a product we just needed something better for our own outbound project. But once teammates and others started asking to use it, we realized the pain was bigger than just us.

We re in beta, shipping fast, and listening closely to early users.