... decided to spend an entire Sunday finding free or cheaper alternatives to my current app subscriptions, mostly by digging through Product Hunt and old bookmarks. I made a list, set aside the day, and went through my tools one by one. The task manager was the easiest swap. I found a free one in about ten minutes that does everything I need, plus a few extra features I did not expect. The password manager was much harder. I tried ... ... felt too clunky to stick with, so I kept my paid plan. The cloud storage swap was an absolute disaster. I spent two hours migrating files before realizing the free tier had a file size limit that made it useless

... through them again, turn some off, allow a few back in, change Focus settings then somehow I m back to getting random alerts all day. The weird thing is I don t actually want fewer notifications. I want fewer useless ones. If someone messages me, fine. If an app wants to tell me about something that happened 9 hours ago, I really don t need that on my lock screen. Is there anything that handles this more intelligently ...

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... That s the serious version of the story, and it s true. Here s the one we d rather tell. One afternoon, we stopped handing Fable 5.1 science problems and started asking it to make things beautiful, faintly useless, entirely delightful things. It built three. Watch first; we ll walk through them underneath. The whole pitch, in one line Anthropic built it to solve frontier science. We asked it to shake a snow globe. Turns out that s the same ... ... scientific computing) 52.6% Fable 5: 24.7% Opus 5: 29.0% Context window 1,000,000 tokens hold a whole codebase at once Max output 128,000 tokens a full build in one pass Prompt-cache reads up to 75% cheaper vs

... review or undo. Higher-risk + external Send a message. Delete something. Submit a form. Make a purchase. These feel much more like ask first territory. What I find interesting is that too much confirmation can make an agent feel useless. If I have to approve every tiny step, I m basically doing the work myself again. But too little confirmation creates the opposite problem: the agent may save clicks while adding anxiety. So the UX question I keep coming back ... ... hard-to-reverse consequence. I m curious how other people building agentic products think about this. Do you use a similar risk / reversibility framework, or have you found a better rule for deciding when an agent should act vs

... ones were five star. 93% had the "verified purchase" label, so even that badge doesn't mean what people think it means anymore. The part that got me: real reviews mention weird, specific, slightly annoying details. "The manual was useless but I figured it out." AI written ones glide right past that. They praise smoothly and specifically avoid describing anything a person would actually notice. Once you know to look for it, you start seeing it everywhere. Feels like ... ... opposite, really: a five-star review that still admits something mildly annoying is often more trustworthy than a five-star review with zero friction in it at all. Comment from Sabber Ahamed(@sabber_ahamed): the "manual was useless

... breaks in real use. Here's why It answers what you asked, not what you mean. "Why did the signups drop last week?" turns into a query that spits out a few numbers. The numbers are often right and useless. It doesn't tell you if the drop is real or just noise. It ignores sample size. LLM will cheerfully tell you A beats B based on 30 data points vs

... assistant specifically designed for early-stage founders. Here's what it actually does: Structured decision analysis You describe your decision, and it walks you through a framework (not just a "do this" answer, but a real evaluation: risks, assumptions, alternatives) Pattern recognition It learns your decision-making patterns over time and flags when you're repeating mistakes Blind spot detection It asks the questions you're not asking yourself It's not a replacement for intuition or community ... ... good?" it's "when do you actually use it?" I'd love your feedback on: What decisions are you currently struggling with as a founder? And if you've used AI decision tools before what made them useful or useless

... across your network. Perfect for a printer, a NAS, a phone. Wrong for the Mac you're sitting at A dev server on 127.0.0.1:3000 genuinely refuses connections from anywhere else so the check says "closed". Accurate, and completely useless. The most interesting services on the machine you care most about are exactly the ones a network probe can never see. Local Services a new tab on This Mac that doesn't probe anything. It asks the system directly, then ... ... that way: The Ports tab on a network device, grouped by category Also fixed: a closed port now says closed. A port that actively refuses a connection was being reported as filtered and those mean different things. Nothing listening, versus

... release the supply-chain scan could only talk in the present tense: here is what auto-executes right now, here is a commit tip that looks forged. Useful if you happen to scan while the implant is sitting there. Useless for the two questions you actually have when a worm is circulating did something change, and what could whoever got in reach? Now: every scan records a fingerprint of what auto-executes in the repo, and the next one tells ... ... Comment from Rabnoor Singh(@rabnoor_s): @gfazioli  On how far back to keep it: I would stop treating retention and scoring as the same knob, because they have very different costs. Scoring past 30 days is genuinely useless

... inside your app if they can only feel understood while they're talking to your model you haven't solved loneliness. You've made it more comfortable to stay lonely. You've built a very sophisticated waiting room. The alternative is to design for the exit. Concretely, that means three things. Point users back at real people, not deeper into the app. The most valuable thing an emotional AI can do isn't be a better listener than your friends ... ... been avoiding. Rehearse the hard talk. Untangle what you actually feel before you say it out loud. Then get out of the way. Refuse the agreeable-mirror trap. An AI that always validates you is engaging and useless

... first six items decide whether a launch deserves to do well. The seventh decides whether it does. I was reading them as one list. Where I think the standard advice falls short: "build an audience first" is true and useless, because it does not say what an audience is made of. From today, I think it is two specific things, and neither of them is upvotes. One, people who have had an actual back-and-forth with you. Not people ... ... threads have pulled more follows between them than every reply I've left combined. Drop your link Sunday and I'll read it properly, and I'd like to know your follower count the night before versus

... rather than hold the line forever. A stalled job that took the cautious path is recoverable. A stalled job that just sat there is a support ticket. Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus invariant is the useful thing here and I am taking it. One addition: you cannot separate them by observation, but you can by deliberately violating the constant once. A property that survives a test faking an unattended caller ... ... missing. Which is the same shape as the encoding thing one level up. So the cheap move is to put the caller in the signature now, while there is exactly one possible value and it is completely useless

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... fake professionalism intolerable. The content culture on LinkedIn actively rewards performance over substance. Emotional posts that make people feel something outscore technical posts that actually teach people something. This is fine for the platform's engagement metrics. It is useless

... this community thinks: - Do you actually trust r sum s, or are they just a habit at this point? - If not r sum s, what would you rather see before deciding to interview someone? - For those who hire: what's the single most useless part of your current process? Would love honest takes, especially from people who hire regularly. Comment from Rahul Reddy (@rahulreddy01): @roopesh_donde  I agree that resumes can reveal professionalism, communication, and attention to detail. I just question whether they ... ... video of just one question: "Tell me about yourself." Most of the time, the intro call really shows a lot about communication, storytelling skills, and so on. Scanning through hundreds of resumes and portfolios is the most useless

... problem I keep hitting: Telegram communities are full of buying signals people asking for tool recommendations, complaining about a workflow, looking to switch vendors but reading every thread manually doesn't scale, and scraping members is spammy and mostly useless. What's actually working for you? - How do you decide which communities are worth monitoring? - What signals tell you someone is genuinely in-market vs

... building - Who it's for - The hardest part you're solving right now Will read everything and upvote what resonates. Comment from Ognjen Adzic(@ognjenadzic28): @nolan_vu  I like that way of thinking about it. "Irreversible vs. reversible" is a really clean way to frame it. That's actually pretty close to how we're approaching PennyOne. Our view is that autonomy should be earned. If someone consistently approves a certain type of action with little or no editing ... ... know. https://archron.app Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... tired of the noise in technical analysis. Some people swear by RSI, others rely on EMAs. But when you try to average them, you realise a static average doesn't work because different indicators dominate different market regimes (trending vs cycling). To solve this, I spent the months building an engine (TickerSignals) that scores 39 indicators across 6 layers daily for 2,500+ stocks. To calibrate the weights, I backtested roughly 2L+ historical signals. Here are my two biggest takeaways ... ... from the data: Standard averages lie: Averaging indicators is useless

... does not tell you what to fix first. It does not tell you which opportunity to chase. We realized this when we looked at our own dashboards. We had 267 keywords tracked. 78 pages audited. 25 competitors detected. Zero AI citations. Zero backlinks indexed. The numbers were interesting. They did not tell us what to do. So we built something different. Not a dashboard. A strategy engine. It starts with a profile. Who you are. What you sell ... ... execute. Not a dashboard. A SEO GEO copilot. Dashboards show you how you are doing. Strategy tells you what to do about it. Most tools stop at the first part. We are building the second. What is the most useless

... Comment from Imed Radhouani(@imed_radhouani): @susie_johns  That question should come with a warning label. The number of backlinks tells you nothing about the quality of the backlinks. A hundred links from spam directories are worse than useless. They are a liability. One link from a relevant industry publication that your customers actually read is worth more than all of them combined. The question should be "what links did you get this month and why do they matter ... ... Comment Deleted Comment from Imed Radhouani(@imed_radhouani): @malani_willa  You are right. Domain authority is a useful signal when you have nothing else. But it is not a strategy. A high DA site about gaming is useless

... built QRAuth.io passwordless authentication, it works on any website or physical QR (menus, parking, ticketing, kiosks ).How it works in 8 seconds: User sees an animated living QR on your site (rotates every 500 ms so screenshots are useless) They point their phone camera at it Tap once to confirm with biometrics/passkey Boom, logged in. No typing, no copy-paste, no extra app. It s cryptographically signed (ECDSA + post-quantum), phishing-resistant, includes proximity proof, and fraud intelligence. Drop ...

... community! I was recently reflecting on the open-source projects that bring massive daily value versus those that are just cool, experimental concepts. I'd love to hear what your tech stack looks like. I'll start with mine: Most useful - as working in wellness healthcare, my fav right now is Open Wearables. It is incredibly useful because it finally allows me to easily integrate and sync health data across various different wearable devices without a headache. (Fun fact ... ... project, but in terms of daily utility? Zero. Still love that it exists though! Now it's your turn: What is the one Open Source tool you actually use all the time? What is a tool that is totally useless

... work in the real world, often with no signal. No account, no internet required, and it s free forever . Why ProjectPal exists Most field apps demand a constant connection and store your data in the cloud. That s useless when you re on a building site, in a rural area, or just stuck in a dead zone. ProjectPal keeps everything on your device and syncs securely to your own Google Drive when you re back online. Your data, your control ...

... works well for me, but I need it tested on codebases that aren't mine. Looking for a handful of early testers willing to point it at a real project and tell me what's broken, confusing, or useless. It's pre-alpha, rough edges expected. -> GitHub: https://luuuc.github.io/sense/ Happy to answer any questions ...