... failure points. Use first principles reasoning. Assume we will follow your recommendations without ego. If you need more data, ask for it." The results were not symmetrical. Failure point #1: The unvalidated feature. The roadmap had a feature labeled "Priority 1." Estimated build: six weeks. Claude flagged it immediately. "No user research cited. No support ticket volume. No search volume in your category. This is a solution looking for a problem. What signal are you acting on?" We went back ... ... evidence customers are asking for this. Without these, this is a cost center disguised as a feature." We pulled our customer call transcripts from the past six months. 147 calls. Not one mention of Platform X. We pulled our competitor

... browser toolbar. Premium, futuristic user interface with smooth animations and dark mode. Dynamic cross-device synchronization. Frictionless setup with QR code scanning directly from web pages. Absolute focus on privacy and security. Questions for Users & Contributors 1. Feature Priorities What is the #1 feature you feel is missing from current authenticator apps (like Google Authenticator or Authy)? Is cloud backup/sync a must-have for you, or do you prefer strict offline-only local storage for your 2FA seeds ... ... Touch ID) make you feel more secure? 4. Organization If you have 20+ tokens, what is the best way to organize them? Folders, tags, or just a really good search bar? User Experience & Competitive Context There are many alternative

... users from search? Zero. Then someone asked ChatGPT about our category. Screenshotted it. Sent it to me. We weren't there. Not #1. Not #2. Not #10. Nowhere. What I Thought Mattered (It Didn't) What I Prioritized What AI Actually Cares About Beautiful design Structured content Clever copy Direct answers SEO keywords Complete questions Backlinks Original data Social proof Comparison tables I was optimizing for humans. AI is not human. Lesson #1: AI Doesn't Read It Extracts Humans ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors

... have to do everything yourself [I m not even talking about women who want to become founders; there s also a biological time limit.] Is it just my impression that this group of people has their life mission and priorities somewhere else? Or am I just in a bubble? Comment from Tereza Hurtov (@tereza_hurtova): This is actually a topic that s very close to me as well, so I ll probably be a bit more personal than I usually ... ... about the product, users, or the next experiment. I also know founders who built families and companies in parallel but it usually requires a very supportive partner and a different definition of balance. Curious whether people here felt their priorities

... model. It manages assets and references across clips to maintain visual coherence across shots. You can use up to 3 reference images to anchor character appearance, and it supports frame-specific generation and video extension. Best for: teams that prioritise raw output quality and are comfortable building their own pipeline around a high-end generation engine. 6. Higgsfield Cinema Studio Higgsfield takes a model-agnostic approach: rather than locking you into one video model, it lets you swap between Sora ... ... designed from the ground up to solve character consistency automatically. If you want a full production suite with timeline editing, LTX Studio is the most complete option available, though it requires more setup. If raw cinematic quality is the priority

... Average monthly retainer for AI visibility audits 1,200 2,500 Average monthly retainer for ongoing AI visibility + content 2,500 5,000 First-mover advantage is real. The agencies offering this now are locking in clients before competitors even know the category exists. Service Model #1: The One-Time AI Visibility Audit What it is: A comprehensive audit showing where the client appears (or doesn't) across ChatGPT, Google SGE, Perplexity, and Gemini. Deliverables: 20 50 keywords analyzed Screenshots ... ... actual AI answers Competitor

... point, there are more users, and their expectations start to differ. So how do you decide which features will, or won t, be implemented? The most common approaches I ve personally seen are: Whether the request comes from paying vs. non-paying users Whether the feature aligns with the product vision (and isn t just fluff) How demanding the feature will be to build How many people are asking for it (size of demand) I worked in technical support ... ... have to say (I experience those added minutes quite often) :D Comment from Sai Tharun Kakirala(@sai_tharun_kakirala): Our framework at Hello Aria: the ICE score + one gut check. ICE = Impact, Confidence, Effort. Score each 1-10, multiply. Prioritize

... 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

... live Schedule deliveries within preferred time windows Rate stores and delivery partners From the outset, this Idea Usher review notes that Limitless is not framed as a single-vertical app. It is designed as a local commerce layer that prioritizes convenience through consolidation. The Problem Limitless Is Solving Users increasingly expect speed and simplicity, but their shopping behavior is fragmented across platforms. That fragmentation introduces repeated setup, disjointed experiences, and decision fatigue. This Idea Usher review identifies the core problem ... ... structure clear enough to avoid discovery fatigue, which is a common risk in multi-category apps. Pickup and Delivery Options: Supporting both pickup and delivery broadens the platform s appeal. Some users want speed and control through pickup; others prioritize

... feedback from power users managing complex wallets: Smarter AI assistant - Now pulls full document context instead of keyword matches. Reads across multiple policy sections to catch exclusions and limits. Redesigned perk tracker - Built for people with redundant benefits (2 Priority Pass memberships, overlapping coverage). Shows what you're actually using vs

... ended up building a small tool for myself that takes PMF survey answers plus basic customer data, shows which segments care the most, and suggests a short list of priorities for the next 90 days (who to focus on and what to fix first). I ve just opened a waitlist and would love early feedback from founders wrestling with PMF: you can join here and try the free GTM planning canvas: https://pmfhunter.com ...

... separate being mentioned from being trusted or recommended ? How do you track impact when models are non-deterministic and drift over time? How do actions like Reddit posts, blogs, or LinkedIn content actually move AI answers? How do you prioritize when ChatGPT, Perplexity, and Gemini disagree? Is this just analytics, or can you actually improve outcomes? We ll walk through how we approach these questions step by step , using Citable as the working tool among others: 1) Research Identify real ... ... prompt demand (not keyword volume) Cluster prompts by intent, persona, and buying stage Establish a clean baseline (replicated runs, frozen personas, citation normalization) 2) Diagnosis Where you re invisible vs

... designed to replace you. It is not designed to spam your chat. It is not designed to talk over your personality. Instead, TataLaLa acts as a real-time AI business assistant inside your live chat quietly managing, prioritizing, and monetizing conversations while you focus on gameplay. The Real Problem Game Streamers Face (That No Tool Solves Well) If you stream regularly, you already know this tension: When you focus on gameplay, chat engagement drops When you focus on chat, gameplay ... ... where growth actually happens. And that is exactly where TataLaLa operates. What TataLaLa Does During Your Stream Once connected, TataLaLa continuously analyzes what s happening in your live room: Viewer arrival patterns Chat activity and sentiment Engagement momentum Subscriber vs

... Chrome Web Store One-click join links for Meet/Zoom/Teams calls. Chrome Web Store Dark mode, mini/full views, cached offline display. Chrome Web Store Supports multiple calendars and shared scheduling. Chrome Web Store Questions for Users & Contributors 1. Feature priorities What scheduling features do you wish were in a Chrome toolbar calendar? Is one-click meeting join alone enough, or do users want deeper video conferencing controls (e.g., auto-select camera/mic, auto-record cue)? 2. Workflow & usability Do people ... ... prefer toolbar popups vs

... customer acquisition costs compared to traditional channels, we deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns, feature prioritization across your category, and benchmarking against competitors

... today. We're building toward 10x better. And we're doing it by solving the fundamental problem: AI tools don't remember. Projects do. Where We Are Now (The Foundation): 1. Universal Platform Support Works with Claude Desktop, Cursor, VS Code + Copilot, Continue-dev , Zed, Windsurf, TabNine Your context follows you across 14+ AI platforms One unified memory layer for all your AI tools 2. Persistent Project Memory # In Cursor > Context Sync: Save decision about Zustand Decision saved: "Using ... ... types are defined and used) Circular dependency detection Execution path tracing 5. Smart Todo Management # Todos automatically link to your current project > Create todo: "Refactor auth middleware" Todo created and linked to current project # Filter todos by project, priority

... Product Hunt! I m the Project Lead for Lensmor . We ve all been there: You have a folder full of competitor screenshots or a spreadsheet of pricing changes. But the tricky part isn t collecting the data it s knowing what to do with it (and doing it fast enough to matter). That s why we are building Lensmor. It s the first AI agent that doesn't just alert you to competitor

... work-life balance? Look no further than Rucks.cc , the AI-powered schedule and task manager that's here to revolutionize your daily routine. In this article, we'll share 10 productivity hacks to boost your day with Rucks.cc . From prioritizing tasks with AI to reviewing and adjusting your schedule, these tips will help you get the most out of your day. 1. Prioritize

... Cursor Button - One-click fixes in your PR comments that open Cursor with ready-to-go AI prompts Hallucination Detection - Our new eval engine catches and removes 99% of AI hallucinations in reviews Faster Review Cycles - Low priority comments now appear in PR bodies (not as review comments) so you can merge faster Review Engine V6 - Smarter, faster, and more accurate code reviews with better security checks Codebase Learnings - MatterAI now builds a contextual map of your entire codebase ... ... deeper insights Axon-Code Model - All customers now use our powerful default `axon-code` model for reviews Similarity Search - Catches function misuse with inline fix suggestions Better Developer Experience: PR Review Priority

... lockstep: in blind tests, most listeners can t reliably separate them from the incumbents. Broadly, today's models fall into two distinct categories that serve fundamentally different purposes: Real-time models like Cartesia Sonic, ElevenLabs Flash, and Hexgrad Kokoro prioritize streaming audio generation, producing speech as text arrives rather than waiting for complete sentences. These models excel in conversational AI where low-latency makes the difference between natural dialogue and awkward pauses. These models are often architected for immediate response ... ... working on one of the voice models we ve tested for this post or one we haven t we d love to explore an integration. Comparing today s leading text-to-speech voice models Beyond the real-time VS

... scattered updates and it s your job to turn them into a clear, structured plan. It takes hours, and it s repetitive. That s why we built the Slashit App Dynamic AI Template. With our Generate Next Week s Priorities prompt, you can transform messy team updates into a crystal-clear priority

... Most companies confuse AI Agents with Agentic AI, and it s quietly wrecking ROI. We break down: What Agentic AI really is 7 key differences vs. traditional AI agents When to choose one over the other Real-world enterprise use cases (from retail to manufacturing) Cost traps to avoid A practical decision framework for AI adoption If you're building with AI or advising enterprise clients, this guide will help you avoid common pitfalls like: Overbuilding agentic systems for simple ... ... tasks Underbuilding with disconnected bots that still need human handoffs Relying on automation that can t adapt when priorities

... struggling with marketing prioritization in a large SaaS environment. We have to orchestrate 10+ channels and 20+ active projects, making it incredibly difficult to stay focused on the metrics that matter. For a long time, we've used the ICE (Impact, Confidence, Ease) scoring framework. However, with attribution data becoming less reliable and AI constantly shifting the strategic landscape, ICE feels too reactive and simplistic. We're looking for a more accurate, perhaps even proactive, model for scoring and prioritizing

... Working with stakeholders is always a challenge, but dealing with functional managers can feel like the toughest part. They control the resources, have their own priorities, and don t always share the same sense of urgency or goals as your project. So, how do you navigate misalignment, resolve conflicts, and move the project forward without constant friction? You ve probably seen it too: Engineering leads pushing back because their team is overloaded Marketing suddenly shifting priorities

... Heeey founders, makers, and product passionates, I'm super curious to hear about your experiences in prioritizing the marketing actions when your product is in its MVP days. Context: I'm part of the team that's building Lifetoon, an AI-native platform for episodic visual storytelling. We've just launched the MVP's 1.1 version yesterday, and we already have +100 users on the platform. We're still looking for the PMF, but I feel like ... ... over the place when it comes to where my focus lies, marketing-wise. And, I want to get better at prioritizing