Shipped a simple expense tracker app last night. Small win but it actually works. What's the smartest next step to grow it?
i might be missing something, but pearlfortune’s reported hashrate doesn’t seem consistent across trackers.
miningpoolstats shows them at roughly 11 eh/s, while prlscan shows something closer to 9.5 eh/s.
normally i’d assume different refresh times or different averaging windows, but the difference is pretty convenient:
also, pearlfortune has a 5% fee, which makes the “higher yield” part even harder to explain.
short-term luck is one thing. consistently looking better than lower-fee pools while showing different hashrate numbers is another.
not saying i know exactly what’s going on, but this should probably be checked by the trackers.
Went down the quishing rabbit hole after a couple of incident reports in our sector flagged QR-based credential harvesting, and now I'm auditing our own QR usage to figure out what we're actually exposed to.
The threat surface is more interesting than I initially gave it credit for. Most of the QR phishing chatter focuses on the end user, but for any brand deploying codes at scale (packaging, OOH, in-store signage, event materials) the brand itself is part of the attack surface. Attackers clone or impersonate codes from trusted brands because that's what gets scanned. If our customers get phished through a code that looks like it came from us, the reputational damage is ours even when the technical attack wasn't.
The patterns I'm worried about are sticker overlay attacks on physical assets, email-delivered quishing that slips past URL-based filters, and spoofed branded codes piggybacking on existing brand trust.
What I'm exploring on the defensive side is dynamic QR solutions where the redirect layer can be monitored centrally. If I control the redirect, I can see anomalies in scan patterns and treat those as early signals that something's been cloned in the wild.
How are others thinking about the brand side of this?
I came across something recently that genuinely surprised me.
The common belief has been that successful SEO requires experienced strategists, content teams, technical SEOs, outreach specialists, and a lot of manual work.
But then I see an SEO automation startup win a Silver European Search Award.
Not an AI writing tool. Not a keyword research tool. A platform that automates the SEO process end-to-end.
The award itself isn't what surprised me most. It's that they won against agencies with experienced SEO teams and specialists.
Maybe there are details I'm missing, and I'm naturally skeptical of any marketing claims. But if these kinds of results are becoming achievable through automation with AI, it feels like a much bigger shift than people are talking about.
Are we underestimating how much of SEO can actually be automated?
Or do you think there are still too many parts of the process that require human expertise for systems like this to be genuinely competitive long-term?
Curious what people here think.
Hi! I want to buy a folding bike so I can commute to work and save money. I also want to ride the train for convenience (also are folding bikes allowed on Jeepneys?)
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My route goes like this
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Point A: Newport City
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Point B: Edsa LRT1
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Point C: 5th Avenue LRT1
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Point D: Workplace
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I'll bike to LRT1 then hop off at 5th Avenue so I can bike to my workplace. I have to travel along C3 road that has a lot of container trucks and a somewhat rough terrain. The bike to work is around 30 minutes (based on Gemini). I have been looking around facebook marketplace for surplus and 2nd hand bikes but I cant seem to decide since the bikes have different designs. I also would like to limit my budget to around 6-7k.
Video person here. I could never tell if my reply rate was normal or bad, so I asked the Upwork tool my team pays for to pull reply rates by niche. Posting the screenshot in case it helps someone else.
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Top of the list last month was animation. 2D animation sat near 12 percent replies. Explainer video right behind.
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Market research and conversion work also did well, both around 10 to 11 percent. So in those lanes about 1 in 10 is normal, not a sign you are broken.
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My own video editing came in near 10 percent, which honestly made me feel less crazy.
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The catch is these move month to month, so last month's leaders are not forever. And the tool is not cheap, the proposal AI is generic, I keep it for the data more than anything.
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What reply rate are you seeing in your niche?
Small space people, did you end up feeling like a real game table was actually worth it, or did upgrading a normal dining table basically get you most of the way there?
I keep coming back to the same few options: full table, toppers, better chairs, side storage, or just a nice regular table and stop overthinking it. I host a couple times a month in an apartment, mostly medium-weight stuff, so every furniture decision feels way more permanent than it should lol. wyrmwood, box king, allplay jasper and topper setups come up a lot, but it’s still weirdly hard to tell what actually feels good in a small home once you’ve lived with it for a while. Don’t really care what looks cool. More whether it still feels like a good call after the novelty wears off, esp if you don’t have a dedicated room.
Would be most helpful to hear what genuinely made game night better vs what just ate floor space.
For three semesters I submitted every paper within an hour of the deadline. Twice I submitted late and took the penalty. Not because I was lazy - because I had no system and every paper started from zero.
The change that actually worked: I stopped treating 'write the paper' as a single task. It's about six different tasks that require different kinds of focus, and doing them in the wrong order or at the wrong time is what causes the paralysis.
The order that works for me: first, find and skim sources without taking notes (20-30 min, low focus required). Second, take notes only on the parts that seem relevant to an argument I'm already forming (30-40 min, medium focus). Third, write a rough outline with one sentence per paragraph describing what job it does (15 min, high focus). Fourth, draft from the outline without editing (variable, medium focus). Fifth, edit for clarity and flow (30 min, high focus). Sixth, check citations and formatting (20 min, low focus).
Breaking it into stages meant I could stop at any stage and come back without losing momentum. The outline step is the highest leverage - once I have a working outline, the draft usually takes less than half the time it used to.
I use litero.ai for steps one through four now, mainly because it keeps sources attached to the outline and draft as I work. Cuts out the constant switching between tabs that used to break my focus.
I played this game called Dragon Slayer before but cant seem to find it now. I tried different sites but each one leaves me on a black screen