Accidentally sent the wrong number to someone, I contacted the owner but they refuse to cooperate. Mali kasi yung isang number kaya sakanya nasend. I tried calling but they ended the call. Waiting nlng sa response ng BSP. I messaged their number but they js sent the translated ver of my message. Nakakainis kasi kailangan namin yung pera.
Gamban, Cold Turkey, BetBlocker.... they all have an uninstall option, a "trust this site" switch, or a process you can just stop. And in a few minutes, I find the bypass. If you're reading this, you probably know the feeling....
So: how do you make tearing the block down take longer than an urge actually lasts? Even for an engineer?
github.com/stayout-gambling/stayout-gambling
macOS and iOS working. Windows is the next priority. PRs welcome.
I check the repo every Sunday.
Removing access is the single most evidence-supported intervention for compulsive behaviour, and the time it buys you is time you get back for the stuff that actually matters.
A noirvere crossbody showed up like two weeks ago and it's genuinely hard to understand why more people aren't talking about this brand The leather has this weight to it that reads way more expensive than $45, and the color hasn't shifted even slightly which is a big deal for a bag that gets tossed around every single day Black was the move cause it transitions from work to errands to going out without thinking about it The whole thing just feels really well made and the construction is clean all around
We were on smartlook before it moved into the splunk ecosystem. The migration itself was fine on the surface but a few things changed that created real problems for our product team.
Data processing agreements got longer and required legal review cycles our team wasn't set up for. The enterprise overhead on plan changes meant things that used to take a day started taking weeks. And the product roadmap communication went from frequent and transparent to basically nothing. Classic signs of a product that's been absorbed rather than developed.
Did a few weeks of parallel testing after that. the day to day differences were immediate. setup was fast, data processing documentation was specific enough that our GDPR requirements didn't require a legal back and forth, and the product team stopped filing data requests every time someone had a behavioral question. two day ticket turnarounds became minutes. A few months into running uxcam now and that dynamic hasn't changed.
Not saying the splunk integration is broken for everyone but if you're a small-to-mid size product team it's worth pressure testing whether the enterprise wrapper fits how you actually work.
sat down to transcribe a chord-melody arrangement i love and walked away with maybe a few bars of inner voices i felt sure about. top note and bass come through fine, the middle stuff just blurs together when the harmony gets thick. how are you all approaching this? pure ear training, slowing things down in a player, software in the loop, some combo? trying to figure out a workflow that doesn't have me guessing at tensions every other tune.
Still sitting with this question. The accounting side of QuickBooks is fine. What it cannot do is be a field service tool. Estimating is a workaround. Invoice follow-up is completely manual. Connecting the site visit to the quote to the invoice means three separate steps across tools that do not talk to each other.
The workaround works until it does not. For most people that seems to be when the volume gets high enough that the manual steps start costing real time every week.
Curious what pushed people who made the move. Was it a specific breaking point or a gradual thing? And what are people actually running now that covers the operational side without losing the accounting functionality you need on the books side?
My partners keep asking if we can use chatgpt for portfolio reporting instead of paying for specialized tools so I tested both on the same analysis. 34 multifamily properties, Q1 variance analysis and underperforming asset identification.
Chatgpt: uploaded our portfolio spreadsheet, got a decent text summary that identified top and bottom performers. Couldn't connect to yardi to pull fresh data though, couldn't produce a formatted report for our LP, and lost context when I asked follow up questions about specific expense lines. For quick ad hoc stuff it's still the fastest and I use it daily.
Gemini: similar, good synthesis but same limitations on PMS connectivity and output format.
I also tried tools build for CRE for the portfolio analysis I tried Leni which has direct PMS integration with yardi, pulls data without me exporting anything, and produces formatted reports with variance explanations. About 30 minutes for the full analysis vs an hour min of back and forth with chatgpt that still needed manual formatting after.
Different tools for different problems. Chatgpt and gemini for quick thinking a tool with PMS integration AI like Leni for recurring deliverables connected to live portfolio data.