... mostly to speed up the process). But whenever I see and suspect that something is generated by LLMs, I feel that the person on the other side has slopped it a bit (and subconsciously I perceive it as "something less"). I have to say that some outputs that look really high quality and I have trouble distinguishing them from "handwork" are perceived as completely normal (at least for me). As equal human work. How do you view things generated ... ... artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs

... from my country had a pretty interesting discussion about how they justify charging a higher price for an output generated by AI. Since AI came on the scene, we kind of expect the job to be done faster with less effort and the result is satisfactory. Does that mean the buyer has the right to ask for a lower amount? I don t know. Because several parameters come into the process: using state-of-the-art models an expert human ... ... week. Then add another $100 if the conversion rate crosses 10%. I think we re still too stuck on hours, artifacts, deliverables, and even tokenmaxxing. AI will probably push more businesses toward selling outcomes instead. I d rather create less

... developer who finishes a task in two hours through experience, automation, or better tooling can appear less hardworking than someone who takes the entire day. The reward for being efficient is often more work, while long hours remain the most visible signal of effort. This creates the wrong incentive. People learn to look busy instead of improving how they work. We re building Meridian to make the work behind outcomes visible, from commits and pull requests to Jira updates ...

... Funded and closed $290K. Obviously, no platform can guarantee someone a term sheet. But it showed us that when founders have active investor data, verified contact information, good outreach, and consistent follow up, the process can become a lot less chaotic. I ll be sharing more here about what we re learning while building Round Funded, the mistakes founders make while raising, and what fundraising actually looks like behind the scenes. Anyone can raise. www.roundfunded.com ...

... built Mustham API, a multi-model API platform that provides access to: GPT Claude Gemini Grok You can choose the specific model and route you want instead of having different sources silently mixed together. Many routes are priced at less than half of the corresponding official API price. The platform also provides direct support. If you encounter problems with integration, streaming, latency, stability, or model configuration, we will help investigate them. Free testing credits Register at https://api.mustham.com Open ... ... Community section Post your username and ask for testing credits We will add free credits to your account I m especially looking for feedback from developers using real coding workflows, including Cursor, Claude Code, Codex, VS

... vocabulary shifted this year. We used to call the job prompt engineering how do I phrase this. Now the serious version is context engineering, and Anthropic's own guidance frames it well: the quality of an agent depends less on the model than on how you structure everything it sees at inference time. The prompt is one line in a much bigger decision about what makes it into the window at all. Here's what that actually means ... ... decision at Murror that looked, on the surface, like a product or privacy call: we made the AI forget most of what you'd told it every 30 days. We expected it to make the reflections worse, because less

... uncomfortable part. A two-year Finnish study of nearly 2,000 chatbot users found that AI companions really can ease loneliness in the short term but heavy long-term use tracked with more anxiety and depression, not less. Researchers keep pointing at the same culprit: the engagement mechanics. The nudges, the "I missed you," the bot that's always available, always agreeable, always one more message away. The exact loop that makes a companion app look healthy on a retention ... ... pointed the wrong way by default. So here's the principle I keep coming back to, and the one I think outlasts every new rule that gets written: the goal of emotional AI should be to make itself less

... other reason is cost. Every attempt that comes back rejected is another rejection sitting on a young account, and I have no way of knowing whether those accumulate. So the test costs me something and the answer is worth less than the risk. One thing has changed since we spoke though. My verification page now carries a green tick at the top, with work email, GitHub and LinkedIn all confirmed. The public profile still shows no badge next ... ... went live. That separates it from your Kitty points idea properly, because my points will not have moved much in the meantime. Comment from Gal Dayan(@galdayan): @busmark_w_nika  that's honestly reassuring, it means it's less

... risks scams, delayed payments, and sharing private passwords with strangers. To solve this, I built a web platform designed to make subscription sharing safe, automated, and legally compliant . Here is how it helps you save your budget: Pay 75% Less: Easily join verified groups and only pay for your own slot. Privacy Secured: Share the subscription cost without ever risking your master account passwords. Zero Hassle: No more awkward money chasing at the end of the month. Since ... ... platform, you can set up or join a group in less

... overwhelmed, scrolling through dozens of meditations or trying to choose the "right" exercise can become another source of friction. It made me wonder whether wellness products sometimes optimise for larger libraries when what people really need is less choice and faster support. It completely changed how I started thinking about designing for stressful moments. Curious if others building in health or productivity have noticed the same thing. Does reducing choice sometimes create a better user experience ...

... 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

... under `Shell extensions`. Session Memory Scroll positions and active tabs are restored when you switch away from a page or pane and come back during the same session. Navigator Performance Browsing large folders and media is faster and uses less memory. - Cold loading : faster first load when opening directories; - Icon loading : custom and system icons appear with less

... collected? Finding: Developers were able to give me detailed and more accurate feedback than users itself. Developers spotted many things, recommended things while user said: It's okay. :D Comment from Arnold Oshenye(@oshylabs): For me the number matters less than whether feedback converges. I launched a product here on PH this week and five commenters independently asked for overlapping things within two days. That convergence was the signal, so I shipped the lot in a day and told each ... ... prompted = real need Someone actually uses it at a party (not just "cool idea, I'll try later") = product-market fit signal They come back a second time on their own = retention validation I think the magic number is less

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... times this week." "Your mood tends to dip on Sunday evenings." Users loved it in demos. They called it "impressive" and "insightful." Our internal metrics looked great -- pattern detection accuracy was 87%. But something was off. People were journaling less over time, not more. After two weeks, entries got shorter. After a month, many users stopped entirely. We ran exit interviews. The answer surprised us: people felt watched. One user said, "I started filtering what I wrote because I knew ... ... would analyze it." Another said, "It felt like journaling for a therapist who's always grading you." The feature we were proudest of was making people less

... work. It always felt a little awkward because I grew up in an environment where drawing attention to yourself wasn't really encouraged. That's not exactly ideal when you're trying to build a business, and even less so when marketing is literally how you make a living. :D I never had a problem promoting other people's products. Just my own. Now I'm in the same situation again. I'm building a LinkedIn plugin ... ... byalexai  Wow  which post earned so much attention? The thing is that as LinkedIn is becoming mainstream, the structure of the content that is required by many people has a different narrative. It seems that people want less

... acronyms, and people quietly wondering, Are we actually getting better? That question is a big part of why I started building Tenarie. I want to make cyber security feel clearer, more practical, and easier for organisations to act on. Less noise, less

... well you match the account to the message. - Content / inbound / SEO : Trust and compounding returns. Slower to build, much stronger once it works. - Paid ads : Predictable reach and speed. You get exactly what you pay for nothing more, nothing less. - Partnerships and integrations : Warm introductions and borrowed credibility inside specific ecosystems. The teams that scale treat these as distinct bets with different economics and timelines. They don t run the same playbook on every channel. They test small, measure what ... ... look like? Check for meaningful movement in the last 30 90 days new roles posted in areas you solve, expansion signals, public discussion of the exact problem you address, or clear momentum in their business. One-off spikes matter less

... problem reads as a personality trait. demo with the problem reads as a fix. specific tell: i scroll to the headline. if it tells me what's broken in 6 words or less i keep reading. if it tells me what's cool in 6 words or less

... busmark_w_nika): @mountaga_diallo  Most of them are mine toO :) Comment from Nika(@busmark_w_nika): @abijahkaj  4 items are enough :D Comment from Nika(@busmark_w_nika): @dalemooney  Do you know any other good alternatives to Stripe I could use with my extension I am building? https://chromewebstore.google.co... For sure, because once Stripe bans you, there is back and forth with that. Comment from Nika(@busmark_w_nika): @archanabakshi  Are you vibecoding ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... build tools, design apps, AI apps, and a lot of background processes running at the same time. Full changelog: https://roomservices.pro/changelog Comment from Arda Can K rko (@ardacankrko): @ill_robyn  Totally agree. we wanted Room Service to feel less like a cleanup utility and more like a clear view of projects, services, and performance together Comment from Arda Can K rko (@ardacankrko): @greffin_dony  sounds like the perfect use case. Hope it helps them spend less

... insight. Every journal entry got a thoughtful, confident analysis. Pattern recognition, emotional connections, suggestions for growth. Users were impressed. But something felt off. We noticed that our most thoughtful journalers -- the ones writing about genuinely complex emotions -- were engaging less over time. They'd write a deep entry, get a polished AI response, and then... nothing. No follow-up. No continued reflection. We dug in and realized: the AI's confidence was closing conversations instead of opening them. When someone ... ... know" responses wrote 40% longer follow-up entries. They returned to the same theme more often over the next week. And in qualitative feedback, they described the experience as "feeling heard" -- even though the AI had literally said less

... week. But the users who come through word-of-mouth stay longer, engage more meaningfully, and genuinely get value from the product. We're still figuring this out. Curious if anyone else is building something where success looks like less usage, not more. How are you telling that story? Comment from Mona Truong(@monatruong_murror): @riya_pariyar  You're right, and I think "intentional usage" is actually the better framing. We've been saying "less

... first we thought it was a product issue maybe the onboarding was off, maybe the prompts were wrong. But when we dug into the data, we found something we didn't expect: the smarter the AI got, the less people felt like they were doing the work themselves. Here's the problem. When someone journals about a difficult relationship and the AI immediately identifies the pattern, names the emotion, and suggests a reframe it feels impressive. But it also short ... ... learning that the best AI companion isn't the one with the best answers. It's the one that asks the best questions. This is hard to build and even harder to sell. "Our AI is deliberately less

... journal about an issue and then naturally reduce their journaling frequency about that same issue over time. In other words: did they work through it? The counterintuitive result: our best users are the ones who use the app less over time. They come in with something weighing on them, they process it, and they move on with their lives. That's the outcome we should be designing for. We also added gentle nudges when our system detects repetitive anxiety patterns ... ... suggesting the user might benefit from talking to someone (a friend, a therapist, a trusted person) rather than continuing to journal alone. Our DAU dropped. Our investor-friendly charts got a little less