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I’m putting together a DIY cold plunge and I’m starting to think I really underestimated the chiller part. At first I figured an aquarium chiller would probably be fine, but now I’m not so sure. My setup will likely be in a garage, and I keep seeing people say smaller chillers take forever to cool a stock tank down, especially once the room gets warm. Getting the water cold one time is one thing, but keeping it cold after someone actually gets in seems like the harder part

For anyone running a DIY setup, how long does yours take to get from tap water temp down to around 45°F? What size tub are you using, is it insulated, and what HP chiller did you end up with? I’ve been looking at stronger options like the IceDragon Core because I don’t want to buy something that has to run nonstop just to keep up, but I’m still trying to figure out what’s actually necessary and what’s overkill. Real-world numbers would help a lot

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I tried Dokie AI again after seeing that it now supports Image 2, and honestly the output looks a lot better than I expected.

The biggest difference is the visuals. A lot of AI presentation tools can generate slides fast, but the images often feel like random placeholders. With this update, Dokie AI seems to create visuals that fit the slide topic much better.

I tested it with a business-style deck and a marketing presentation, and both looked more complete than before. The images were more relevant, the slides felt more consistent, and the whole deck looked closer to something I could actually edit and use.

It still needs some manual polishing, of course. I would still check the wording, add real data, and adjust some slides before sharing it. But as a first draft, it feels much stronger now.

For anyone who makes reports, pitch decks, marketing decks, or work presentations often, Dokie AI’s Image 2 update is worth checking out.

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[ Removed by Reddit on account of violating the content policy. ]

Ever show a model photo to your barber and it just… doesn’t turn out like you imagined? A picture might show the style you like, but it rarely tells them how to handle your face shape, hair density, crown, or fringe.

I’ve found that a really useful haircut brief should answer a few things before you sit down:

• How long to leave the top and why
• Where the sides should have volume or be tapered
• What the fringe should do，add height, width, or softness
• How the neckline should fit your head
• How much daily styling it realistically needs

I’ve started using a tool called Aurcue to help me visualize hairstyle directions from my own photo. It’s not about letting AI decide my cut, it’s just a way to make sure I can explain clearly what I want and why to my barber.

Of course, the barber still has to consider cowlicks, growth patterns, and hair texture. But compared to walking in with a single Pinterest photo and hoping it translates, having a small visual guide really helps.

So, when you ask for haircut advice, what details do you wish people included besides just photos?

Sometimes I genuinely feel like Spotify understands my life better than people in real life do.

Not in a creepy way, but more like, “why is this Daylist exactly what I needed at 11 p.m. on a random Tuesday?” I open Spotify thinking I’m doing fine, and then it recommends some oddly specific playlist like soft nostalgic evening or anxious indie commute, and I’m like… okay, apparently that’s where I am emotionally right now.

Wrapped makes this feeling even stronger every year. It doesn’t just show me what songs I listened to. It feels more like a recap of what kind of year I survived. Some songs are tied to work stress, some to random phases of confidence, some to late-night overthinking, moving on from someone, or those few weeks when one album basically became my entire personality.

It records life less as entertainment and more as all those ordinary little moments. In a way, it tracks my emotional timeline better than I expected.

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[ Removed by Reddit on account of violating the content policy. ]

We are currently pushing a new feature for our SaaS app, but our marketing budget is basically non existent. Right now, the team is completely stuck in the classic Quality vs. Quantity debate for our video content.

If we go the Quality route: Is the ROI actually going to be there? We are terrified of sinking two or three days into polishing a single video, only for it to totally flop with the algorithm and bring in absolutely zero conversions.

If we pivot to Quantity: We get way more shots at hitting the right audience in the traffic pool. But how on earth do we maintain that kind of high frequency output? If we stick to traditional editing workflows, we will never hit our volume goals. Plus, we are super paranoid that spamming out low effort, mass produced garbage will completely tank our brand trust and credibility.

After debating in circles, our team is leaning towards the Quantity approach just to get data and test the waters. But honestly, we are pretty lost on how to actually execute the roadmap from here.

Has anyone here been in this exact spot? How do you actually scale your production to keep up with high volume targets? Are there any solid workflows or specific tools you guys are using to pump out product promos without losing your minds?

Would love to hear your insights!