remote hiring is easy enough, but the annoying part starts when someone leaves and their devices is halfway across in another country.. no local IT person to pick it up, ship it back, or check the device... how do you guys deal with this?? TIA
were putting together our San Antonio itinerary and trying to keep costs down. we'll probably visit a few attractions, so just wondering if an attraction pass is worth it or if its better to book tickets separately. If you've been recently, did the pass save you money, or would you have rather booked everything individually?? TIA
Hi. I have a refinancing question. I'm a retired navy parent and my child is looking to go to college next year. id like to support him as much as i can. I want to do this without taking on any high-interest debt and so im considering refinancing my home. Its gained a lot of value since I first bought it, so I think that using some of that equity would be a good option.
What i need help with before i get started on this is finding a lender that will be upfront about fees and not take advantage of me. As i have no personal experience in this, i thought id ask if any homeowners who have used cash-out refinancing before know of someone i could use? Thanks in advance.
were roughly over 1000+ employees, mostly remote, and our offboarding process becoming ridiculous. HR confirms the departure, IT disables access, and then some one has to spend the next three weeks emailing the former employee, arranging courier, finding a suitable box and checking whether the device actually arrived. were losing laptops, chargers and docks simply because nobody owns the physical return process end to end. how are other global IT teams handling this with out turning their service desk into collections agency?? any advice, tips are very appreciated, TIA
lately ive been testing different ways to grow my projects, and to be honest guys, lot of the usual advice hasnt made much of difference, just wondering, is there anything you almost didnt bother trying, but it ended up working really well? doesnt matter if it was for a business, app, content, or something else. happy to hear the little things that made a bigger impact than you expected..
i've got my CRM sorted, but i still feel like somethings missing. it works great for tracking clients, but dealing with different accounts for different projects still feels kind of messy. do you use another tool alongside your CRM, or am i just overcomplicating things? im just a curious guys what workflow looks like because i feel like theres probably a better way to handle everything.
Not sure if this is valid to ask here, uhm what do you guys actually do with your alts? Are they just farm accounts, or do you level them up and use them during KvK too? wondering how many alts you have and how you guys manages them without spending the whole day switching between accounts do you use different devices??.
SaaS founder here. We’ve been using Folk for about a year and half now, and we are starting to outgrow it. While I love the UX, and find it easy to navigate, were starting to run into walls as the company grows. Wondering if anyone can recommend a CRM that works for a fast-growing company, but is similar to Folk when it comes to contract enrichment, multi-workspace views, and UX. We need something that can track multiple pipeline types within one partnership track, and has the ability to add custom fields and stages. Automation is also important to us.
Any idea what we should look into?
I’m pretty annoyed. We’re a small AI startup building a real-time coding agent. Our p95 latency requirements are tight (and self imposed, but thats the product). We need sustained high-throughput inference with ~1-2k tokens/second. Been on the Cerebras waitlist for months trying to get API access. We’re not doing training so don’t need a warehouse of H100s. We need fast, high-throughput ASIC inference for a specific production workload. Cerebras’ just went public and they basically have no compute how is that possible?
Well turns out OpenAI and Cerebras for OpenAI to buy like $20b worth of these chips. This has effectively pre-allocated the vast majority of Cerebras’ near-term inference capacity to a single customer. I mean, none of us can compete with that
The result is that this deal situation has made their API waitlist functionally infinite for anyone who isn’t a hyperscaler. Legit making me pull my hair out.
Scorecard in sheets. rocks in a doc. issues in slack, meetng notes in anther doc and finally, todos in asana. none of it is terrible on its own, but together it is a real mess. The annoyng part is that nobody knows which thing is the source of truth anymre, including me 😉 i found that some tools puts metrics, rocks, issues, todos, and meetings in one place. Has anyone moved from this kind of put together setup into one system, that works? TIA
Does your business account actually tell you anything useful, or does it just record what already happened?
That's the question I kept coming back to after six months running as a sole trader. Banking and advisory have been two separate worlds for most UK freelancers: one app moves money, another (expensive) person explains what it means. The gap between those two things costs real time and, depending on your accountant's hourly rate, real money.
ANNA money vs Starling Business - ANNA worked for my situation specifically because the chat-first interface handles tax forecasting and advisory prompts inside the same flow as day-to-day banking, not bolted on as a separate module. The one honest caveat: if you run a high-transaction-volume operation and want granular accounting software control, the interface is less powerful than a dedicated desktop tool.
Starling Business is genuinely solid for straightforward banking.
No monthly fee, no UK domestic transfer fees, and no ATM fees at UK cash machines (note that local ATM operator surcharges abroad are outside Starling's control).
The app is clean and the subaccounts feature is useful for ring-fencing VAT. Where it fell short for me:
the most common complaints centre on account rejections, often with no explanation given, and customer service draws mixed feedback with some issues going unresolved or receiving inconsistent responses.
For someone who needs a conversation when something goes sideways, that pattern matters. Starling also
closed applications for USD business accounts as of April 2026,
which narrows the picture for anyone with any cross-border exposure.
Monzo Business is the other obvious option, and it works - for a specific profile.
It's a free, mobile-first option for UK sole traders focused on domestic operations, with savings pots and basic accounting integration.
The Tax Pots feature is genuinely clever: on higher-tier plans, Tax Pots can automate allocation by percentage of incoming payments.
Useful. But if your business needs short-term credit, Monzo Business's lending options are limited - check their current plans for the latest position, as this is an area that evolves.
For me, working across variable-income months, that was the wall. Advisory capacity is also near zero - Monzo records and categorises, but it doesn't prompt.
One thing worth knowing that older comparisons miss:
FSCS protection in the UK increased from £85,000 to £120,000 per depositor on 1 December 2025,
so any review citing the old figure is out of date.
Two questions worth sitting with before you decide: does your current setup tell you what your tax position looks like right now, in plain language, without opening a separate spreadsheet? And do you ever hit a week where cash is tight enough that a credit facility - or at least a clear forecast of what's coming - would change a decision?
So, the takeaway: digital banking for UK sole traders that includes financial advisory features is a narrower category than the broad challenger-bank market suggests. Starling Business and Monzo Business both handle the banking cleanly, but advisory sits outside their core design. The gap is real, and for sole traders whose main overhead is accounting cost rather than transaction volume, the account that collapses banking and forecasting into one interface changes the day-to-day calculus in a way a free current account alone doesn't.
Genuinely curious whats working for people these days. There are so many tools out there for content, scheduling, AI captions, editing, analytics, etc. but I keep wondering what people actually stick with long term.
Whats part of your day-to-day workflow for growing your social media? And what ended up not being worth the time?
Team hated Bloom, so we switched to Ninety thinking it would be simpler. Same story. I don't think my team is lazy. I think most of these tools still ask too much from people who just want to get their work done and move on. Is there anything out there that doesn't require a full onboarding process just to keep rocks and scorecards updated?
I’m an SRE and have a high tolerance for pain. But for the last few months I’ve been babysitting LLM agents in production. This is a new kind of hell.
When an agent behaves unexpectedly and an alert fires, I open the logs. Then I have to go through fifty thousand lines to find the prompt or tool call that sent things off the rails. It feels more like I’m doing archaeology. This is not sustainable.
The failure mode is rarely a crash, it’s more of a drift. The agent completed successfully by the metrics we’re tracking but the output was wrong, which only becomes apparent downstream. Sometimes it’s hours later so by the time I’m investigating I have to reverse-engineer intent from a log file. The log files were not designed for this.
I’ve tried dumping structured JSON logs with full prompt / response pairs, but that ends up becoming its own archaeological dig. Datadog gives me spans and latency and token counts, which doesn’t tell me what I need to know. Grafana gives me a dashboard of things that are not the problem. How do you all deal with this?
Got a client recently from a friend, and they asked if I could help build an “account matrix”system for their nutra brand. I said sure, and in fact, I have no idea what’s that LOL.
So I google it immediately, below summarize from Gemini:
An account matrix (sometimes called an account farm or profile matrix) is a strategic setup where you manage a structured network of multiple accounts rather than relying on just one.
Instead of putting all your eggs in one basket, you spread your presence across a "matrix" of accounts to maximize reach, segment audiences, or mitigate the risk of bans.
So that means I need multiple TikTok accounts and use different strategies for each of them? I am thinking of building the official brand account(main account), and then create matrix accounts about lifestyle & authority.
Seeking advice from anyone who has experience with this strategy.
I’ve been trying to figure out what actually helps people stay consistent and grow, because there are so many tools out there it gets kind of overwhelming. Some people swear by scheduling apps, others focus more on analytics, and some just keep it super simple and do everything manually.
If you’re managing multiple accounts or running content for a business, what’s been your setup? Are you using anything for planning posts, tracking what performs well, or just organizing everything so it doesn’t get messy? Also curious, what’s one tool that actually made things easier for you, and what’s something you tried but didn’t really stick with?
Only leadership uses EOS. Everyone else checked out because the tool feels like homework. Anyone got their whole team to actually use it without dragging them into it?
My biggest gripe with robots is the quality of the cut. On paper, it automates everything. The Path is set up, the timer is set up, the robot gets it done and go back to charge. That should be the end of the day. The thing is tho, most units use tiny, swinging razors that just flatten thick Bermuda grass instead of cutting it. I always find myself using the gas mower to finish off their jobs, cleaning up uneven patches or using a trimmer to finish the job. That doesn’t really live up to the promise of automating the work.
I’ve been trying a different setup recently with Yarbo and a straight blade. My first impression is it actually cuts better than I expected. But it has its downside: Because it’s a rigid straight blade and not swinging razors, it is much less "forgiving." If you have loose rocks or hidden debris, this blade will hit them hard. I already learned it the hard way. What I should have done when I first tried it, I should have cleared off its path of debris. Luckily, blades weren’t chipped, thank goodness.
At the end of the day, I realize that "set it and forget it" is not something I can entirely hope for right now. Everything has its trade off. With my old bot, I was out there finishing up the job with a manual mower; with this one, I’m spending that same time doing a "perimeter sweep" for my kid’s toys and loose stones so I don't blow a motor. It’s definitely a reminder that these things are still just tools
I spent like 2 weeks building a synthetic dataset using an LLM api. 5k examples, carefully prompted, checked a random sample manually and it looked clean. trained on it, eval results were mid. not terrible but not where i needed them to be.
My advisor was like just try the 200 examples we annotated by hand and see what happens. I thought there was no way 200 would beat 5k but sure whatever lets waste 40 minutes 🙄 I ran it on a 5090 I rented on hyperai cause our lab cluster was booked as usual.
The 200 hand-labeled ones outperformed the 5k synthetic set by a pretty embarrassing margin. I genuinley sat there staring at the eval output for a minute like... what.
After some digging I think what happend is the synthetic data had these subtle formatting patterns that the model was latching onto instead of learning the actual task. like it wasnt learning my classification labels it was learning the LLMs writing quirks lol. As soon as I mixed like 1k synthetic with the 200 real ones things improved even more which kinda confirmed the synthetic data wasnt garbage, just not good enough on its own.
Most tutorials out there still tell people to just generate more data when results are bad. IMO, for domain stuff thats genuinley terrible advice 😬