... Last quarter, our team spent three weeks building a feature that does... nothing. When a user writes something deeply painful in their journal grief, heartbreak, feeling lost Murror's AI used to respond immediately. Empathetic words, gentle reflections, suggested reframes. Users loved it in surveys. Our response

... unanswered question does. If you weight them equally, a maker who replies to every easy congratulations and ignores every genuine question will score well on your metric while doing exactly the wrong thing. Even a crude intent flag, question versus non-question, lifts the metric considerably. The classification does not need to be perfect; the cost of ignoring the distinction is higher than the cost of occasional misclassification. Presence window as the third dimension looks right. The three together give ... ... nothing actually gets resolved. If you can, grade whether a reply closes the question rather than just touches it. Even a crude signal helps, reply length relative to the question, or whether it carries a link or a number versus

... Last quarter, we built a feature at Murror that our engineering team jokingly called "the empty room." After a user finishes a journal entry, the AI doesn't immediately respond. It waits. For 30 seconds, the screen shows nothing but the user's own words and a gentle prompt: "Sit with what you just wrote." No analysis. No reframe. No pattern recognition. Just silence. We almost didn't ship it. Our product team argued it would feel broken. Our investors ... ... important moment in the entire session. It's when the insight is forming. And every time we rushed in with AI analysis, we were interrupting that process. So we ran the experiment. Half our users got the immediate AI response

... messy. No timeseries. Need rates over a date range for a chart or accounting reconciliation? Good luck stitching together 90 individual daily calls. No transparency. Is this rate fresh or cached from 6 hours ago? No idea. The response just gave me a number. No source, no timestamp, no cache signal nothing to audit or debug with. Cross-rate inconsistency. Most cheap APIs source from ECB (EUR base) but don't tell you that. Ask for USD/GBP ... ... didn't set out to build a business. I set out to fix the specific things that annoyed me, then figured other developers probably had the same frustrations. The rules I gave myself were simple: Every response

... routed around the whole problem with infrastructure that already existed. Respect. The ceiling it hits is the one email always hits: it's one-directional and it's noisy at scale. The agent can mail you "I'm blocked on this approval," but you can't cleanly mail back "yes, proceed" and have it act, email wasn't built to be an approval channel with a structured response

... happens in communities: Product Hunt, LinkedIn, Hacker News, Reddit, and niche forums. Success depends on having accounts in good standing, understanding each community s culture, researching relevant discussions, and contributing meaningful comments without breaking forum rules. So I built responsible community research agents. The system researches and identifies threads relevant to your company context and ICP use cases, pain points, competitor

... published the first technical note in the AI API Bridge series for VibeAround. It compares OpenAI Chat Completions and Responses structurally, and explains what has to be preserved when building a bridge between them. Gist: https://gist.github.com/jazzench... The short version: Chat Completions is message-centered, while Responses

... Product Hunt. I am Andreea, founder of 2 Minutes Responder. We launched today. I built this after watching people make offers on UK properties without knowing the flood zone would make it uninsurable, or that the net yield was negative from month one after real costs. The data has always been public. Nobody had put it together before the offer. 2MR does it in 90 seconds. Flood zone, net yield, crime trend, school rating, 5-year growth. Any UK postcode ...

... Hello makers, I m Niloy, Product Lead & Researcher at BurnLink . It s been amazing seeing the support and response from the community so far. Today, I wanted to share something interesting about the thinking behind our product what led us to build it in the first place from a psychological perspective and what's the future of BurnLink. A small breakdown of the neuroscience and psychology behind why your instincts about file sharing are often more accurate than ... ... registered it, even if you never consciously processed it. The hesitation isn't irrational anxiety. It's compressed pattern recognition. The question is what you do with it. "Privacy anxiety isn't irrational. It's the correct response

... proxy tools setting up mock servers intercepting requests with external apps But I still felt the workflow was slower than it should be especially when debugging edge cases like: empty states failed requests slow APIs malformed payloads role-based responses Most solutions either require backend changes, extra setup, or switching context away from DevTools. So recently I started experimenting with a Chrome DevTools-based approach where API responses

... ReplyRight writes personalized, AI-powered responses to your Google, Yelp, Facebook, and TripAdvisor reviews automatically. Most local businesses ignore 80% of their reviews. Not because they don't care, but because responding

... this. There are tools that generate replies, post on schedule, analyze sentiment, even mimic your brand voice. But I don't use them. Here's why. A 2024 study on community engagement across 500 brands found that personalized responses drive 3.2x higher retention and 4.7x more repeat interactions than automated replies. People can tell when a response

... mean anything! It's circular at best... "We are us, and "us" is this website, which is also us." Let's say something happens... Who am I going to sue? Who am I going to contact? Who is responsible? Now, if you feel like you are not ready to take that responsibility

... Most AI visibility tools show you a dashboard. They tell you where you're invisible. They show you competitors winning. Then what? You stare at the screen, knowing there's a gap, but no idea how to close it. RAIVE 2.2 (Rankfender AI Visibility Engine) fixes that. It's not just a tracking engine. It's a prescription engine. It analyzes where competitors

... users quickly grasp their brand s overall performance and trends within generative engines. 1.1 Four Core Metrics The Overview page focuses on four key metrics: Visibility , Citation , Share of Voice , and Sentiment . Visibility: Indicates the proportion of relevant AI responses that actually mention your brand. A higher value means your brand is seen more frequently by AI within this domain. Citation: Measures, among all responses

... monitor everything at 3am. I've been building in the reputation management space for a while now, and one pattern kept showing up when I talked to comms directors and PR leads: the problem wasn't their response it was the lag between when a threat emerged and when someone actually noticed it. A critical video starts circulating at 11pm. A journalist publishes a thread with wrong information on a Sunday. A mid-level employee's comment gets picked ... ... aggregator and starts spreading before anyone on the team is even awake. By the time the response

... useful here. It's an open-source CLI tool called AI SOV Analyzer . The idea: AI models like ChatGPT are increasingly where buyers discover products. This tool lets you measure how often your brand shows up in AI responsesvs your

... everyone I'm Lincoln. I used to run local SEO campaigns, and I'll be honest, the prospecting process almost broke me. Most of my week was glorified data entry: clicking through page 5 of Google Maps, checking review response rates one by one, hunting for unclaimed Google Business Profiles, and copy-pasting business info into spreadsheets. All of that just to find maybe 10 qualified leads. And then the worst part: I'd send those leads a generic ... ... market and pulls back businesses, but instead of just giving you a list of names, every single business gets scored across 20+ real signals. The system checks if their Google Business Profile is claimed, when the owner last responded

... days ago, I shared the 10k mistake product owners make with AI search. The response was overwhelming. Since then, we've more than doubled our dataset at Rankfender. And many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors

... launched Rankfender 48 hours ago, and the response has been overwhelming. Thank you to everyone who checked us out, upvoted, and shared feedback! One question kept coming up: "How do I actually win in AI search?" So I dug into our data. Rankfender has now tracked over 50,000 AI-generated answers across ChatGPT, Google SGE, Perplexity, and Gemini. We've analyzed millions of citations, thousands of brands, and hundreds of industries. Here's what we learned and what ... ... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs

... this problem. What Is Socra? Socra is an AI learning platform built around the Socratic method the 2,400-year-old teaching philosophy that uses questions, not answers, to build genuine understanding. Where most AI tools give you a response and send you on your way, Socra turns every session into an interactive dialogue that challenges you to think, articulate, and truly understand what you're working through. The result? Knowledge that sticks. Thinking that improves. Understanding you actually ... ... teachers scaling their classroom to creators turning raw ideas into finished content. The Problem with How We Use AI Today Let's be specific about what's going wrong. When you ask a standard AI chatbot a question, it responds

... have time in the next week. You can pick a time that works for you here , or let me know if you have other times that would work better for you. Comment from Ryan Hendrickson(@ryan_hendrickson): @vsync_66  Very cool! Specifically about LeoIgnite, I'm curious what your ultimate vision is? I was very glad to see the disclaimer on the bottom of your site, have you thought about what other guardrails should be implemented ... ... reasoning behind using Lovable over other similar options on the market? When implementing auth and permissions, what headaches did you encounter? If you had to change one thing about the process, what would it be? I really appreciate your response

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... useful. Comment from Navanita Devi(@navanita_devi): Dedy's point is interesting, the opacity problem is real. Most people conflate "AI having access" with "AI having unchecked control." They're very different things. Read-only access vs write access, logged actions vs

... Everyone! Our app is designed to be used at site and I always felt that response speed is critical for seamless app use It appeared to be a compromise. This specially relates to audio and TTS we use. We can use very naturally sounding TTS models, but they may take about 1 minute to respond