u/RadInternetHandle

We are a B2B SaaS company with entities in Singapore, Australia, and the UK, and as we have grown, keeping track of cash across different accounts has become surprisingly frustrating.

For a while we managed with bank portals, spreadsheets and a lot of manual checking. It worked when things were smaller but now it feels like someone is always asking where the cash actually is or whether one entity needs funding from another.

A few months ago we decided to stop relying on spreadsheets. We ended up moving most of the treasury workflow into Finmo mainly because we wanted everything in one place instead of jumping between different bank accounts. It definitely helped with visibility, although getting everything connected wasn't as straightforward as I expected.

I am still curious how other finance teams handle this. Are you mostly using your ERP, your bank's own tools or a separate treasury platform? At what point did spreadsheets stop being enough for you?

We've been spending quite some time creating and iterating our pitch decks for Co Create Pitch. Since our team does not have a designer and I’d rather avoid the constant back-and-forth with a freelancer, I’m looking for an AI tool that delivers a professional aesthetic suitable for investor roadshows.
I’ve been searching through some posts and noticed recommendations for Gamma, Pitch, Alai, and Plus AI. Given my situation - needing high design quality and ease of iteration - which one would you recommend?

For the first time, "passive income" was a lie I told myself. I was selling on Shopify, sourcing from overseas suppliers, but the sourcing side meant constant back-and-forth: chasing quotes, following up on samples, comparing prices manually. It was a second job.

Some times ago I started using an AI sourcing tool called accio work, that handles supplier outreach, follow-ups, and quote comparisons automatically. It negotiates while I sleep, and I just check results. I went from spending 10+ hours/week on supplier communication to under 4. Revenue stayed the same. Margins got slightly better because the AI is more systematic than I was at comparing options. It's not zero-effort, I still make final calls. But for the first time the pipeline doesn't fall apart when I'm not watching it. Curious that how others here handle the supplier side of product-based income. Is full automation realistic, or am I still leaving too much on the table?

My current workflow:ChatGPT + Midjourney → batch creates social posts, ad copy, and thumbnails. Great. The problem starts when I try to push that content out across multiple platforms — sometimes multiple accounts on the same platform (different brands, different regions, or just testing angles).

I've been using scheduling tools for the main accounts, but for:

● Secondary Instagram / TikTok accounts

● Multiple Google Business Profiles

● Reddit accounts for niche engagement

● Facebook pages with different admins

…even with proxies, platforms seem to connect the dots. My theory is browser fingerprinting. Same canvas, same WebGL, same fonts — and boom, accounts get shadowbanned or suspended.

So I started looking into anti-detect browsers. I tried adspower because of their RPA automation (no-code workflows for posting, liking, etc.). But I'm still early in the process. What's actually working for you? Have you moved to anti-detect browsers full time?

Had a couple outages over the past year here in Texas. Nothing extreme, just storms and random grid issues, but enough to expose weak spots in my setup.

So now I want to buy a solar generator (unfortunately, I don't need gas). I'm currently looking at the Jackery 5000 Plus; I like its TOU design, which should make it more energy-efficient. There's a discount if I order now, which I don't want to miss, but I'm unsure if it's worth the price. Or are there any more affordable options you'd recommend?

I wanted to share this for anyone with hirsutism who feels scared or hopeless about trying IPL.

Most of my hair growth was concentrated around my neck, chin, and upper lip. I also have Middle Eastern genetics, so the hair was very dark and noticeable. Before IPL I tried basically everything including spearmint tea, spearmint oil, constant plucking, different hair removal methods… honestly nothing really changed much.

About 1 year ago I started using ulike after catching a sale. I started with my neck first. The process took MUCH longer than I expected, but around the holidays this year I suddenly realized the hair was genuinely becoming thinner and more sparse. I also stopped getting as many new dark hairs. Right now there are still some fine hairs left, but they’re much closer to my skin color now.

My upper lip also improved, although more slowly.

The hardest area for me has honestly been my chin, mostly because I keep catching myself plucking there, which probably doesn’t help the process at all, since the light needs a root to target, and I keep pulling them out, lol. Anyone else struggle with this?

Overall though, the hair growth is nowhere near as bad as before. I still do maintenance sessions on my neck and upper lip about twice a month, but compared to where I started, the difference is huge.

Creating a successful AI music channel on YouTube today is less about producing a single standout track and more about building a consistent content system that aligns with how the platform recommends and distributes content

It is important to establish a stable content production approach. There are generally three main models.The first is pure AI generation, where full tracks are generated with almost no post-production. This approach allows for high output volume, but the style can become repetitive over time. Common tools include Suno, Udio, and Stable Audio, which are end-to-end music generation tools. The main advantage is speed, making it suitable for batch content creation, but the level of control is relatively limited.The second model is AI plus human editing, where AI is used to generate ideas or raw material first, and the creator then handles structure, arrangement, and mixing. This approach tends to produce a more distinctive style. In this workflow, DAWs such as Ableton Live, FL Studio, and Logic Pro are used for reconstruction and arrangement, while tools like ACE Studio can be used to refine vocal details and improve emotional expression.The third model is AI music combined with visual storytelling, where music is paired with AI-generated visuals or themed videos to enhance branding and audience retention. This approach often uses AI video tools such as Runway, Pika, and Kaiber, along with post-production tools like After Effects or CapCut to assemble the final audiovisual experience.

After that, it is important to decide on a consistent production style. There are generally three common approaches. The first is pure AI generation, where tracks are fully generated with minimal editing. This allows for high output, but the content can feel less distinctive. The second approach is AI plus human editing, where AI is used to generate ideas but the creator still refines structure, arrangement, and mixing. This usually leads to a more defined identity. The third approach combines AI music with visual storytelling, often using AI-generated visuals or thematic videos, which helps strengthen branding and viewer retention. Many successful channels actually combine elements from these approaches rather than sticking to only one

Another key factor is understanding how YouTube distributes content. The platform does not simply reward good music. It rewards engagement signals such as watch time, click-through rate, and upload consistency. This is why AI music channels often focus on long-form content like one-hour mixes, rather than individual songs. Consistency in uploading is often more important than any single track’s quality

Successful channels also tend to build repeatable content formats instead of treating every upload as a completely new project. For example, they might create ongoing series such as focus music for studying, late-night ambient sessions, or themed mixes like cyberpunk or nature soundscapes. These formats help build familiarity with the audience and improve retention over time. Short-form content is usually used only as a discovery tool to bring viewers into longer videos

At a broader level, success in this space is less about traditional musical skill and more about channel strategy. Consistency, visual identity, niche targeting, and scalable production systems often matter more than individual compositions. AI tools mainly serve to reduce production time and increase output, but they do not replace the need for clear positioning and content strategy

In terms of monetization, most AI music channels grow through YouTube ad revenue after meeting eligibility requirements, and then expand into streaming platforms like Spotify or Apple Music. Over time, some channels evolve into recognizable AI music brands rather than just content pages

The key shift in this space is that success is no longer defined by a single piece of music, but by how well you can design and maintain a repeatable content system that fits the recommendation logic of the platform

We all know heat is bad for batteries, but somehow that doesn't click when it's a dashcam baking on your windshield all day

Car interiors hit 130-157°F on summer days. lithium cells start losing capacity above 140°F, and at higher temps the casing swells as gases build up inside.

I've gone through a couple dashcams down here in Texas, last one was a Viofo a119 that came off the dash with the housing visibly warped. that's when i started looking into supercapacitor models.

Supercapacitors basically don't have the chemical reaction thing that makes lithium batteries hate heat. they just don't cook themselves the same way. ended up getting a 70mai A810s and it's been solid so far, no swelling or shutdowns even in the middle of summer.

How are people in Arizona, Florida dealing with this? parking in shade? replacing yearly? or did everyone already switch to supercapacitor?

I used to work at a large enterprise, stuck in a monotonous routine of going to work and coming home every day. For the past two years, I’d been thinking about starting my own business, and this year I finally took action.
I had no experience in e-commerce at all, so I was ready to lose some money to gain experience. During the first two months, I picked a product category based on current trends and found a pretty reliable supplier. I spent most of my days building stores and listing products nonstop. I also tried running some small-budget ads, and the traffic was actually pretty good, but the conversion rate was terrible. That frustration almost made me give up.
I reviewed the data again and figured out where I went wrong. I'd chosen products I thought would sell well, not ones the data said would. So I started spending more time on data analysis. To cut costs, I began looking for suppliers on Alibaba. At first, screening them manually took a lot of time. Then I got a promotional ad and started using AccioWork to help with the screening. It connects to real Alibaba transaction data, so I can check category trends, supplier price ranges, and minimum order quantities. It really helped me out a lot.
My store is still in the early stages, but I can feel I'm on the right track.
I'm curious besides product selection, what other problems do newbies usually run into?

I originally bought the Jackery 5000 mainly due to concerns about fuel. I’m a DIY enthusiast, and besides basic garage needs like charging tools and lighting, I also wanted something that could power a small cooler and ideally run higher-demand tools like a cutting machine or a high-power chainsaw.

But then we had a power outage at home, which honestly caught me off guard. At first, there was that moment of stress, wondering how long it would last, how I’d keep my phone charged, and whether things in the refrigerator would start going bad. That’s when I remembered I had the genertor. I brought it out as a backup power source, and just being able to plug things in right away made a huge difference. I was charging my phone and laptop, running a fan, briefly keeping Wi-Fi going, and even covering some small kitchen needs. Of course, it can’t power the whole house, but having that immediate access to electricity made the situation feel much more manageable. The outage lasted two days, but it gave me peace of mind.

Since then, I’ve started using it more intentionally in different scenarios. For short trips and self-driving camping, it has wheels, so even though it’s a bit bulky, I can still roll it along.
 For emergencies, it’s nice knowing I can at least cover the essentials. I’ve also tried pairing it with solar panels during the day just to extend runtime, which works decently in good weather.

I used to be a bit skeptical, but my experience has been more positive than I expected.

That said, I’m curious how well this kind of setup holds up in more extreme situations. For example, in something like a hurricane or long multi-day outage, does a solar generator still hold its value?

I run a bunch of social accounts for different clients. Just some legit profiles for Google Ads, FB pages, Twitter.

The problem: manually opening each browser environment, clicking the same buttons over and over, checking logins… it was eating hours every week. I'm not a hardcore coder, but I know a bit of Python.

I tried basic automation with Selenium and Puppeteer. Worked okay for one profile, but switching fingerprints/proxies was a mess. Also looked into other fingerprint browsers – some have no API at all, others are locked behind expensive enterprise plans.

Here's what I did with the fingerprint browser(my final choice is adsPower):

● Batch open / close browser environments from a script

● Pull the whole account list with fingerprints + proxy info

● Automate daily checks (open profile → login → screenshot → close)

Took me an afternoon to watch their tutorial on YouTube to get the basics working. Their API doc is decent, and there's an adspower-sdk Python package that saved me some time. Although some endpoints only work with the paid version. But overall is stable, honestly. Cut down my repetitive work by like 70%.

For those of you managing multiple isolated browser profiles, do you use any API automation? Also open to hearing about other fingerprint browsers with decent APIs. I think I need to try more and test more.

I run a D2C brand and struggle with high RTO mainly from COD orders. I’ve been looking into Shiprocket Checkout features like prepaid nudges, COD filters and address autofill that claim to reduce RTO significantly. On paper it sounds great, but I want to know real experiences. Did these tools actually help reduce fake or risky orders? What worked best COD restrictions, discounts for prepaid or faster checkout? Also, did you combine this with manual verification methods? Would love to hear honest results, especially % drop in RTO and any challenges faced.