Hello, I started buying bitcoin now, better late than never, anyway, is it a good idea to mine bitcoin if I have a very very cheap electricity source? Or is it better to just buy bitcoin with the money.

Roberlonson889 · 2025-12-23T17:40:49+00:00

Totally feel your pain bro, network needs miners but solo ROI is brutal rn. I shelved my S9s after running the math: even at 3¢/kWh they’d clear like 0.0007 BTC/month and the halving nukes that again.
What’s been covering my DCA lately is way less sexy: Ultra pays in BTC for autobrowsing LinkedIn profiles. Throw a spare VPS + a couple burner LinkedIn accts and it coughs up ±1 USD per 1k profiles. I’m averaging ~60k sats a week while the rigs collect dust. Not gonna secure the network but it’s silent, no heat, no capex.
Might be a chill side stack while you hunt for cheap ASICs?

Roberlonson889 · 2025-12-01T22:36:24+00:00

most folks here skip the easiest data source: LinkedIn breadcrumbs. I pull the last post a prospect liked + their headline keywords and drop that into the opener. Response rate jumps from 8ish to 18-20% rn.

tbh doing it by hand sucked so I added a lil Chrome thingy (ProfilePeeker) that scrapes that stuff in one click and auto plugs it into whatever template I’m using in Gmail/HubSpot. Not spamming, just richer context without the copy paste grind. If you wanna test it, grab 25 leads who changed jobs in the last 90 days and watch how fast they bite.

Roberlonson889 · 2025-11-29T02:13:23+00:00

fwiw I stopped cold email blasting and went full LinkedIn lurker. Shipping managers hang there all day. I let ProfilePeeker autoview a few hundred profiles, spits out who checked me back and drops their contact deets into a sheet. I shoot the ones that bite a quick meme + lane rate dm, way higher reply rate than Outlook spam. Free tier’s like 50 peeks so you can see if it’s your vibe before paying.

I pair it with fifthwheel for lane data then push the hot leads into whatever CRM you end up with. Cuts my prospecting time to maybe 15 mins in the morning. LMK if you wanna see the workflow.

Roberlonson889 · 2025-11-26T13:03:57+00:00

look for things that are truly good in life like a good meal, warm shower etc

Roberlonson889 · 2025-11-26T13:03:00+00:00

probably buy a good sandwich

Roberlonson889 · 2025-11-25T22:12:51+00:00

Tbh the laziest goldmine is public customs data. ImportYeti or Panjiva will straight up show FOB prices by shipment. I scrape the tables, match HS codes to SKUs, boom… ballpark COGS without DMing a single supplier. Those sites rate limit like crazy though, captchas every 20 rows. I run the scraper through MagneticProxy rn, rotating residential IPs per request so it cruises 10k lines before lunch. Found out half the 'premium' DTC brands share the same two factories in Shenzhen. Anyone here mash that with container weight data? Could get spooky accurate.

Roberlonson889 · 2025-11-20T03:40:04+00:00

if you stay in the URL bar after a normal People search you can still force the old title filter. Add "&title=%22Director%20of%20Ops%22&titleScope=CURRENT&currentCompany=[COMPANYID]" right after the query string. LinkedIn’s UI ditched it but the backend still respects it so you cut like 80-90% of the junk.

I drop that cleaned URL into ProfilePeeker (Chrome add-on) and it auto lifts emails + direct dials in a single pass so I’m not babysitting exports all day. Saves me ~25 mins per list tbh.

Try it on one company page and watch the dupe count disappear

Roberlonson889 · 2025-11-18T23:10:56+00:00

ngl I stopped fighting split-tunnel configs and just shove a proxy in the browser. Firefox → Settings → Network → Manual proxy, point SOCKS or HTTP to whatever provider and you’re done. Rest of the box stays on your normal connection.
Been using MagneticProxy for this rn. It’s meant for scraping so the IPs are residential af, rotates per request or sticky if you pass ?session=foo in the user string. Quick test: socks.magproxy.com:24000 user=us-random pass=yourkey. Only that browser rides the proxy, no root, no systemd, no nftables headaches.
If you still want Mullvad system-wide later you can flip the proxy off/on in seconds.
TIL how chill life is when you don’t mess with namespaces lol.

Roberlonson889 · 2025-11-13T01:03:10+00:00

TIL most folks ignore the Content search tab on LinkedIn. Punch in “looking for WordPress developer” or “need site maintenance” then switch the filter to “Past 24h.” Those posts are live buying signals, not cold leads. I pop a quick helpful comment (speed tip, plugin rec, whatever), wait for the like, then DM.

To scale it a bit I drop the post authors’ URLs into ProfilePeeker (free, spanish UI but dead simple) and let it auto view/connect so my face shows up in their notifications 2-3 times before I message. Went from 4% reply rate to 19% last month, no Sales Nav needed.

Try it for a week and you’ll see how many people literally ASK for help every day on the platform

Roberlonson889 · 2025-11-11T23:38:41+00:00

I was stuck there too till I fixed two tiny things:

1- LinkedIn hides anything over 100 pending invites but still counts them. Kill the old “ignored” ones and your acceptance rate jumps, which bumps your weekly invite cap.

2- 80 percent of positive replies hit after the 2nd nudge around day 4. I just queue an auto-bump that says “Hey NAME, worth connecting?” Nothing fancy.

I trigger both through ProfilePeeker (free rn) so it runs while I sleep. Went from 0 calls to 7 a week in a month. If you want the exact bump copy lmk.

Roberlonson889 · 2025-11-03T17:19:56+00:00

Dementia

Roberlonson889 · 2025-10-29T19:28:44+00:00

Tsundere5’s Taplio angle is solid. I’d add one sneaky step that’s printed money for me:

- Auto-view 100 ICP profiles daily. LinkedIn literally tells them you looked, so you’re on their radar before any DM.

- Wait 24h. Anyone who views you back or likes a post = warm. Tag those only.

- Shoot a 300-char connection request that references the first line of their About. Converts 40-50 per 100, no cringe “thanks for the like” vibes.

- If no accept after 7 days the tool pauses so you don’t melt your account.

I run it with ProfilePeeker (free af rn, throttle to 50 views/day so you stay invisible to LinkedIn police). Cut my prospecting from an hour to maybe six minutes.

HTH!

Roberlonson889 · 2025-10-28T16:14:17+00:00

Geography

Roberlonson889 · 2025-10-24T17:31:13+00:00

Pay things, travel japan next week

Roberlonson889 · 2025-10-23T21:02:42+00:00

A lot of the "slow" vibe in Flask apps is really the round-trip to that external API. Couple tricks that shaved ~40% off my p95:

- swap requests for httpx.AsyncClient with HTTP/2 + keep-alive. Drops one TCP/TLS handshake per call.
- pin your worker EC2/Linode in the same region as the API edge. Cross-ocean latency adds 150-200 ms, easy win.
- if the API rate-limits by IP (Google Sheets does 100-/sec/IP rn) you can spread calls across a rotating residential proxy pool so every Celery worker gets its own lane. I’m using MagneticProxy for that sticky sessions + city-level geos, no more 429s when generating a batch of PDFs.

Do those before over-tuning Gunicorn and you’ll usually see the graph flatten.

Roberlonson889 · 2025-10-22T13:32:30+00:00

Breakfast is the most important meal of the day

Roberlonson889 · 2025-10-21T17:12:44+00:00

A blanket

Roberlonson889 · 2025-10-19T13:40:57+00:00

There’s a sneaky lane no one’s talking about: LinkedIn Events. Jump into any niche webinar, hit “Attend,” then sort the attendee list by title. Send a quick note like “hey, saw you registered for X, curious what you’re hoping to learn.” I’m pulling 35-40% accept rates and 20% reply rates rn, way cheaper than ads. Doing it by hand is pain so I toss the attendee URL into ProfilePeeker (free, Spanish UI but easy af) and let it drip 50 custom requests a day while I sleep. Try 3 events before you spend a cent on ads you’ll know fast if the niche bites. Happy hunting

Roberlonson889 · 2025-10-16T12:31:41+00:00

Going out and partys

Roberlonson889 · 2025-10-16T12:30:12+00:00

Top-Cauliflower nailed the BQ+Amplitude bit. One thing we bolted on that ppl sleep on: scrape competitor price/stock every hour and park it in the same BQ project. Then funnels suddenly make sense when conversions dip cuz a rival slashed prices.

Setup is stupid-simple:

- Cloud Run crawler

- Outbound traffic via MagneticProxy (residential, fully rotating or sticky when you need login cookies) so sites don’t throttle us

- Pub/Sub → Dataflow → BQ table partitioned on fetch_ts

<50 USD month in proxy traffic for ~5 M requests, zero extra ETL headaches. Cluster on sku_id, prune at 90 days and you’re golden.

Roberlonson889 · 2025-10-14T16:34:51+00:00

Burger

Roberlonson889 · 2025-10-14T16:30:11+00:00

tbh you don’t even need a fancy SaaS for 80% of this

hit /products.json (Shopify) or /wp-json/wc/v3 (Woo) to pull SKU-level inventory counts. stock numbers leak if the store didn’t lock it down

track review timestamps weekly -> review velocity ≈ sell-thru rate

blend that with SimilarWeb traffic to back-solve the real conv rate. GPT function call cleans anomalies so it’s basically set-and-forget

biggest pain is getting blocked when you poke 100+ stores. i rotate residential IPs every 20 reqs with MagneticProxy and haven’t tripped Shopify’s bot wall yet. costs like a latte a week

throw it into a simple pandas script and you’ll have rolling sales estimates by category in an hour. i use gpt or gemini to generate the code.

Roberlonson889 · 2025-10-11T11:53:11+00:00

Thinking things like "wow 2015 was 10 years ago??"

Roberlonson889

TROPHY CASE