u/Creepy_Effective_598

Had most of my holdings on Ledger for a couple of years. BTC had a good run this month and I want to move roughly 20% into stables and maybe one other position. It has a swap section but last time I used it the pair options were limited and the rates weren't great. Looking for a way to do this without sending everything to Binance, sitting through the deposit wait, swapping, and pulling it all back out again.

EDIT: Ended up going with SimpleSwap. Pasted my Ledger address, sent BTC, received USDT straight back to the wallet. Used the fixed rate option so the amount was confirmed upfront. No account needed, funds go straight to your wallet. Exactly the workflow I was looking for.

Every platform is pushing for full identity verification now, even for basic stuff. Where do you go when you need to move from one asset to another without routing through a centralized exchange?

every wallet seems to be racing to become a one-stop shop. is there user demand behind this or are product teams chasing a trend?

EDIT: comments below mentioned that most wallets don't even build the swap layer themselves. they plug into providers like SimpleSwap and ship it as a native feature. that's why quality varies so much between wallets even when the UI looks similar.

Tested outbound for the last couple months and noted a few things that helped me at the very beginning of this not so easy task
First I narrowed the ICP to exclude and filter people to reach the most interesting to me.
Also I realized I was putting too much into each message. Trying to cover multiple points just made it waaay way weaker, so I decided to focus on one clear pain point each time.
Basic personalization like name or company did not really change anything. What worked better was mentioning something recent like their posts or shared connections.
Also noticed LinkedIn alone is not enough. Some roles respond better to email, others prefer calls, so I started combining channels.
Another struggle was moving from spreadsheets to a proper workflow. Tested using a CRM, sales nav, and tools like linked helper to automate outreach. Still figuring out the best setup.
And one big lesson is testing one variable at a time. If you change both the hook and timing, you will not know what actually worked.
Still figuring things out, but hopefully this helps someone avoid a few mistakes.

tried to move USDT from Ethereum to Solana last week to get into a new farming pool. ended up spending 20 minutes picking a bridge, approving contracts, making sure I had gas on both ends. it worked fine but the whole process felt way riskier than it needed to be for a routine move. is this just the DeFi tax we all pay or is there a cleaner way to do this kind of thing?

rotated $2.5k from ETH into a mid-cap token last week. preview showed 3% slippage, I set tolerance to 4% and confirmed. ended up $183 short of the quote. pool had around $800k in 24h volume so I figured it was fine. is this just normal at this size or am I missing something?

I do B2B growth consulting as a solo operator. Spent the first two years stuck at 3-4 concurrent clients bc I couldn't generate consistent pipeline without burning all my time on manual outreach, every time I tried to grow past a certain point something else suffered. I was doing it when I had time, inconsistently. So my pipeline dried up every few months and I had waaay way inconsistent revenue. Created a simple stack to improve it, now I use Clay for enrichment, Linked Helper for LinkedIn sequencing, and a Google Sheet that tracks everything from first contact to closed deal. Sequences run every day, limits set conservatively, andfollow-ups go automatically. I only check performance once a week and adjust targeting or templates based on what the numbers say. So I spent on outreach maybe 2 h a week instead of10 and can work with clients remaining 8 h

I do B2B growth consulting as a solo operator. Spent the first two years stuck at 3-4 concurrent clients bc I couldn't generate consistent pipeline without burning all my time on manual outreach, every time I tried to grow past a certain point something else suffered. I was doing it when I had time, inconsistently. So my pipeline dried up every few months and I had waaay way inconsistent revenue. Created a simple stack to improve it, now I use Clay for enrichment, Linked Helper for LinkedIn sequencing, and a Google Sheet that tracks everything from first contact to closed deal. Sequences run every day, limits set conservatively, andfollow-ups go automatically. I only check performance once a week and adjust targeting or templates based on what the numbers say. So I spent on outreach maybe 2 h a week instead of10 and can work with clients remaining 8 h

Tested outbound for the last couple months and noted a few things that helped me at the very beginning of this not so easy task
First I narrowed the ICP to exclude and filter people to reach the most interesting to me.
Also I realized I was putting too much into each message. Trying to cover multiple points just made it waaay way weaker, so I decided to focus on one clear pain point each time.
Basic personalization like name or company did not really change anything. What worked better was mentioning something recent like their posts or shared connections.
Also noticed LinkedIn alone is not enough. Some roles respond better to email, others prefer calls, so I started combining channels.
Another struggle was moving from spreadsheets to a proper workflow. Tested using a CRM, sales nav, and tools like linked helper to automate outreach. Still figuring out the best setup.
And one big lesson is testing one variable at a time. If you change both the hook and timing, you will not know what actually worked.
Still figuring things out, but hopefully this helps someone avoid a few mistakes.

I (F28) hated my job, spent months reading about breaking into tech and came out more confused each time. like some say learn python, another say wait better learn javascript. no wait AI is replacing devs, but also vibe-coded apps are broken everywhere. I couldn't figure out what was actually true. but realized (that you can be in tech without building or prompting any apps, but test how all these apps work. Surprisingly AI still needs human to do so and demand for QA testing is growing. I came from a non-tech background and my biggest fear was finishing a course and being unemployed after it. I took a QA program with careerist that included an internship and a career coach. Didn’t expect that this internship would count as an experience on a resume. but it did, because i was finding bugs in real software. I'm not saying qa is the answer for everyone. But if you're non-tech and stuck on learning to code there's another direction about understanding how software should behave not how to write it

I came from a non-tech background and my biggest fear was finishing a course and being unemployed after it. I took a QA program with careerist that included an internship and a career coach. Didn’t expect that this internship would count as an experience on a resume. but it did, because i was finding bugs in real software. I'm not saying qa is the answer for everyone. But if you're non-tech and stuck on learning to code there's another direction about understanding how software should behave not how to write it

Been remote since 2020 as a client ops manager, not awesome, but it was flexible and pretty enough to keep me from leaving. But they sent me rto email, which I didn’t expect at all. spent two weeks pretending I'd find another remote ops role, another two actually applying, but more of them were hybrid, and I needed fully remote one. When I started researching pivots AI automation kept coming up for non-technical people, you shouldn’t build models, but you should set up and manage automated workflows. Companies are automating a lot right now and plenty of them need someone who understands how the pieces fit together, not necessarily someone who can code them. 

i put some time into comparing programs  before spending money because I didn't want to be wrong about a 5k decision. ended up doing careerist's AI automation track specifically because the internship was on real projects, not concept like.five months in the program, three months job searching. first offer was fully remote, junior level, slightly better pay than before. Although it was tough for me sometimes, but way way better than coming back to office.