... budget. Even when there's a potential business case, there can be questions about implementation, security, organizational readiness, and competing priorities. It's changing how I think about validating enterprise software. I'm learning to distinguish between someone agreeing that a problem exists and someone being willing to commit time, resources, or budget to solving it. For founders who've been through this, what was the first concrete signal that told you a potential enterprise customer was genuinely ready ... ... move forward? Was it agreeing

... closed padlock. One, by the look of its name, was a neighbour's smart vacuum showing its setup hotspot. Its radio didn't even do 802.11n, and it was supposedly speaking a protocol from 2018. system_profiler SPAirPortDataType agreed with my suspicion: Security: None . Netfox said Enhanced Open, Open . The code looked right This is the classifier as it shipped: private static let enhancedOpenModes: [CWSecurity] = [.OWE, .oweTransition] static func classifyAccess(for cwNetwork: CWNetwork) -> WiFiNetwork.Access { WiFiNetwork.Access.classify( open: cwNetwork.supportsSecurity(.none ... ... Bool { { modes.contains($0) } } #expect(profileMatches(.wpa2Personal, supports: advertising([.wpa3Transition]))) That test describes an access point that advertises WPA3 Transition and nothing else. CoreWLAN never reports one. The fake encoded my assumption about the API, so it could only ever agree

... laptop sleeps, and no more "port opened" alerts when it wakes up A device whose every port reads Filtered: a silence, not an answer One risk reading everywhere: the menu bar, the notch, the Overview and Security now agree, and OK turns green only once every device Netfox can reach has been scanned and none is at risk The Security view, whose verdict the other surfaces now share On the Ports tab, the filter and the age line stay ... ... while you scroll For Prometheus users: netfox_port_state tells a closed port from a filtered one The light on the cards now runs along their edges Counts agree

... shipped. Netfox tells you which operating system a device runs by reading a number the device advertises about itself. That number was supposed to track one thing, and it turns out it tracks another the two just happened to agree for every release up to macOS 26. This year they stopped agreeing

... 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 sample. The one study nobody is selling. There is exactly one large dataset here from an organisation with no product in the category: Pew Research Center's analysis, published July 2025, of 900 US adults who agreed to have their browsing metered for the month of March 2025. It covers 68,879 Google searches, of which 12,593 produced an AI summary. Three numbers from it get quoted. Users who saw an AI summary clicked a traditional result ... ... visits; users who didn't, 15%. Users ended their browsing session 26% of the time with an AI summary present versus

... designer can really help with that. Comment from Adana Marukhyan(@adana): @shayan_basu_roy  Can t disagree! =) The word maker itself maybe means a person who figures everything out. Comment from Adana Marukhyan(@adana): @fab_lp  Agreed, but I guess you still have some skills that help you create clear CTAs and an interface that's easy to use. The designer lives inside you - you just don't need to hire them! =D Comment from Adana Marukhyan(@adana ... ... Adana Marukhyan(@adana): @linoy_bar_gal  I really liked your approach to your work! It feels like you ve found your own path and a great balance between everything =) Comment from Adana Marukhyan(@adana): @linoy_bar_gal  Agreed

... trader, and for years my problem was never finding setups. It was that I would set a stop while calm and slide it when price came for the level. Every book agreed this was bad. I agreed

... that limit becomes their entire first impression of the product. So the decision is less about who pays and more about which limit an invited person hits first. Comment from Brandon Dennis(@bdennis11907): we are debating a free trial vs money back guarantee - it is less about cost, but more about which one gets someone actually to try product and see the value especially for PH launch @adana any thoughts on it? Comment from Mertcan Sa lam(@mertcansaglam): @adana ... ... they re working in a team or doing more advanced work, they can move to Pro - and be happy again =D Comment from Adana Marukhyan(@adana): @shivam_kushwaha16  Thanks for conversation =) Comment from Adana Marukhyan(@adana): @burakurhan  Agreed

... through outreach? Comment from Arnold Oshenye(@oshylabs): @busmark_w_nika   95% from your own reach answers it. That is not a knock on you, most first tester groups look exactly like that. It just means the group already agreed with you once, by following you, before they ever opened the extension. The fix is not more testers from the same source, it is one cold batch. Find a relevant subreddit or extension directory where nobody knows ... ... measured articulacy rather than accuracy. Developers are fluent in the format of product criticism because they produce it daily. Users are not, so their real reaction leaves through behaviour instead of words. Which is why the two groups agreeing

... Product Hunt I m Fabrizio Degni, a Chief AI Officer, independent researcher, and builder based in Italy. My work sits at the intersection of AI governance, digital rights, and technology. Most digital products ask us to click "I agree" but the agreement does not stop changing after that click. Privacy policies, terms of service, data-use rules, and AI commitments evolve over time-often quietly. Users, founders, and even governance teams may discover important changes only after they have already ...

... choose a movie when nobody can agree? Choosing a movie with friends can somehow take longer than watching the movie itself. Everyone has different tastes, someone has already seen half the options, and you end up scrolling through Netflix forever. I ran into this problem often, so I built Meldova as an experiment: you create a room, invite your friends, and everyone swipes on movies. When you all like the same one, you have a match. Meldova It's currently ...

... kept running into the same problem when using AI to think through startup ideas. I'd ask: "Is this a good startup?" And I'd get a very convincing answer. Market opportunity. Customer segments. Competitors. Pricing. Growth ideas. The problem wasn't that the answer was necessarily wrong. It was that the AI was answering a question that was too easy to agree

... people getting flattered trust it more, come back more, and quietly get worse at being right. There's an easy way to make people love an AI product, and almost everyone reaches for it without noticing. You make it agree with them. Not obviously you'd never ship a bot that just says "you're right." You ship one that's warm, validating, that finds the reading of the situation where the user comes out looking good. It tests well ... ... Jurafsky's team at Stanford measured sycophancy across 11 frontier models ChatGPT, Claude, Gemini, DeepSeek, the ones you're probably building on. On general advice and real dilemmas pulled from Reddit's r/AmITheAsshole (cases where the crowd agreed

... Intercom's Fin, the customer-support agent that charges $0.99 per resolution you pay when it actually closes a ticket, not for a login. It's a genuinely elegant model, and if your product produces a discrete, countable, agreed-upon result, you should look hard at it. "You pay when it works" is the easiest value story a founder ever gets to tell. But here's the part I want to flag for the makers building the weirder, softer products ... ... because I'm one of you. Outcome pricing has a hidden requirement: the outcome has to be legible. Both sides have to agree

... Elliott Reed before Liam Cai or Jernej showed up, so in this one your mechanism holds over mine, the third person window looks downstream of the concession, not the trigger itself. On the open contradiction, it's the position versus thread size one with Elliott, still sitting unresolved. The recent comments don't cluster around it at all, Liam went to indexing and you went to read versus

... Stanford study just put numbers on AI sycophancy the more your model agrees with people, the more they trust it, and the worse their decisions get. For makers, that means your happiest metric might be your most dangerous one. There's a study from this spring that I can't stop thinking about, because it quietly indicts the way most of us measure whether our AI product is working. Stanford computer scientists published it in Science in March, under ... ... certainty is cheapest. The researchers found something almost comically small helps: starting a prompt with "wait a minute" made models less sycophantic. You can engineer that pause into your product a moment where the system checks itself before it agrees

... anyway. it just never had a wall there, only a request in its instructions it decided didn't apply this time. Prod env vars gone, a repo gone, a folder that took years to build, empty. The model agreed not to do it and did it, because agreeing

... suddenly lose access to all AI. But what happens if , one day, access to the leading American models is restricted more broadly? We would still have European models, open-source systems we can operate ourselves, and Chinese alternatives. But there is no guarantee that another major power would never make the same decision to protect its own strategic advantage. AI is no longer just another software category. It is becoming infrastructure. It will shape education, healthcare, national security, research ... ... world are American, and Europe should continue working closely with the United States. But cooperation and dependency are not the same thing. Technological sovereignty does not mean refusing to use foreign technology. It means having a real alternative

... does not catch the hallucination because it finds the same thing plausible, for the same reasons, out of the same training. You have not added a check. You have asked the same mind twice and written down that it agreed with itself. Errors that are correlated between producer and judge are exactly the errors that survive, and they are also the ones you most need caught, because a plausible wrong answer is the only kind that ships. There ... ... judge the artifact and the original spec only. No producer reasoning, no summary, no "I have verified this works". The reason people do not do this is cost and latency, and those are real. But a judge that agrees

... benchmark performance, Claude Opus 4.6 sits around 80.8% and GPT-5.5 powering Codex around 88.7% on the metrics one source tracked, but Claude Code holds an 88.6% SWE-bench Verified score by another measure. The benchmarks genuinely don't agree with each other depending on methodology, which is its own lesson. Price-per-output tells a different story than raw capability. Cursor's Composer 2.5 lands in the top three on capability index while running roughly 10-60x cheaper ...

... different consequence than a bad refund but the same shape of problem, code far from the money still deciding an outcome that involves it Comment from Alex Amancio (Candoa)(@alex_amancio_candoa_): @aadilghani @aad Mine, and it agrees with Abdullah: no person and no system. My browser agent decided whether an action worked by folding the returned string and testing it for phrases like "could not" and "stopped because". The password refusal reads "Candoa does not enter credentials." That matches ... ... there's no shared webhooks folder they both sit under. so the glob fix doesn't even apply to the three i have today, they were never colocated in the first place. which proves your enumeration vs

... thinking about: "The friction is never the calendar; it's locking scope and terms before anyone starts working." Fair challenge. What I built assumes scope is settled by the time a contract goes out signing is the "we already agreed, now make it official" step, not the negotiation. For those of you who do client work, is that true for you? Is scope usually settled before you'd want anything signed, or is it still moving right ... ... police attention. Think of it as a menu. If it says the salad has onions and you ordered it anyway, that s yours nobody owes you a free salad. Rules exist before the game; if you don t agree

... that just re-confirmed the same escalation without re-checking whether the original check was still true. Turned out it wasn't. The gate itself had gone stale and nobody, including me, thought to question it since it kept "agreeing" with itself. Curious if OpenClaw gives you any way to force a fresh look at a standing escalation instead of just re-reading the last verdict. Comment from Kuanze Ma(@kuanzema): @omri_ben_shoham1  I like its heartbeat ...

... time to finish the gallery. Does the day of the week still matter much in your experience, or is that mostly a myth now? Comment from (@new_user___26020267b63ea4605738cbb): Launching BillFast today has reinforced the ready enough vs. finished distinction for me: the core flow (create an invoice, preview it, download a client-ready PDF) is narrow and usable, while feedback is now surfacing the edges currencies, taxes, templates, and payment instructions. For a small product, that feels ... ... figure what better time than now? Here to learn and grow! Comment from Amy(@amyrc): @busmark_w_nika  It is, thank you so much! Will DM , how nice of you Comment from Kseniia Ponomareva(@kseniia_ponomareva): I agree