... problem we kept running into Every founder and growth person I talked to was doing some version of the same thing: Manually scrolling Reddit and Slack to find relevant conversations Running half-broken n8n workflows with keyword alerts Checking competitor mentions once a week (if that) Looking at their LinkedIn feed and seeing posts that were 10 days old And the frustrating part? The conversations that actually mattered like buyers switching tools, people asking for alternatives

... works You type in a niche and a location (e.g., "Plumbers in Austin"). PackLeads scans the 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 to a review, whether they are ranking in the local pack or buried, if they have an optimized website, and if they are showing ... ... search results like ChatGPT, Google AI Overview, and Perplexity. Each business gets a Need Score (0-100) so you instantly see who's desperate for help vs

... companies in smarter ways. But after a few weeks of testing, one thing became obvious. Tools help you move faster. They don t automatically make your targeting better. The bigger question is this: How do you figure out what signals to even look for? For me that came from manual research . Going through company websites, product docs, and recent launches. Looking closely at how they price their product. After doing this across ~50 companies, patterns start showing up. API products ... ... launching. Teams moving to usage-based pricing. Pricing tables getting messy. Now tools start becoming useful. Apollo helps you reach the right people. Clay helps you scale the signals

... Working towards launching my app. It's too early for meaningful data, growth trends, or any real signal on what's working, and I'm okay with that. What I've noticed though is that the internet is full of milestone posts. First 100 users, $10k MRR, viral launches. And when you're pre-data, it's easy to accidentally use someone else's month 18 as your week 1 benchmark. I'm not losing sleep over ... ... thinking about how founders define meaningful progress before the numbers are there to tell the story. My current approach is staying focused on qualitative signals

... excited to announce that SendrAI 2.0 has just landed, rebuilt from the ground up to make outreach faster, smarter and easier than ever. Use SendrAI to immediately find live signals, research, lead scoring and enrichments - from simple natural language input. Check out a glimpse of SendrAI in action here: With SendrAI 2.0 you don t need engineering skills or a complex set up - just type a simple instruction in your native language and our AI agent will enrich, prioritise ... ... generate data ready for powerful outreach. Here s what SendrAI 2.0 can do:  Analyse and enrich your whole list with unique, fresh data  Score leads based on fit and buying signals

... building Ice Watch , a community safety network that defaults to a sector map showing verified activity in real time (map-first, quick signal, less noise).  I d love feedback from builders + community folks on a few product decisions: Verification: What should qualify as verified in a community-driven feed? (e.g., multiple independent reports, trusted contributors, time/geo consistency, moderator review) False positives: What s the best UX for unverified / pending / disputed without hiding important info? Privacy & safety: What location ... ... granularity feels responsible (exact point vs

... 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 ... ... rolling these changes out across Product Hunt. Product Hunt is becoming part of the AI retrieval layer. Key Lessons We view AI visibility as a new distribution layer. Our goal is to ensure that authentic community signal

... decode the jargon. The Accuracy Circle (That Blue Halo): That blue circle around a location marker isn't a mistake it's crucial context. It shows the potential area where the device could be, based on GPS signal strength, nearby Wi-Fi, and cell towers. A large circle means lower accuracy (often indoors). A small, tight circle means a strong, precise signal

... building Aura Social , a professional social network designed around signal instead of noise. Most platforms today optimize for: Engagement loops Algorithmic amplification Infinite scroll Aura takes a different approach. Instead of chasing virality, we focus on: Intentional distribution Subscription-based visibility Clean professional identity Structured creator & brand presence The idea is simple: Make reach predictable. Make identity clear. Reduce algorithm chaos. We re preparing for our Product Hunt launch soon and would love feedback from fellow builders. What would ...

... Product Hunt folks One thing we noticed while building Diver AI is that most trading tools try to sound certain in an environment that never is. Markets don t move on clean yes/no signals. They move on probabilities, uncertainty, and incomplete information . That s why we designed Diver AI to focus less on what will happen and more on: How confident is the model? What scenarios are most likely? Where is the uncertainty increasing or collapsing? Under the hood ... ... quantify uncertainty instead of hiding it. The goal isn t to predict the future perfectly it s to help traders make better decisions with imperfect information . Curious to hear from builders and traders here: Do you prefer simple signals

... gods if something would be successful, my tool uses Machine Learning to predict the likihood of approval for a given project at a residential property . How ? Our data base combines layers of data all to create features and signals to train the model on predictable gov outcomes and compare it to the user input for a pool, or a ADU, a fence etc. 1. We pull Zoning. Both the zoning for the requested address & its regulations 2. We pull ... ... historical permits (these are our yes/no signals

... start with a grand vision; they start with irritation, curiosity, or firsthand pain. I d love to learn more about how others here have navigated that journey: How did you uncover the problem you decided to work on? What signals told you this problem was worth solving? How did you validate (if at all) whether people would actually pay for a solution? Has your product stayed true to the original problem, or did it evolve into something different? What surprised ... ... daily frictions without adding more complexity. Would love any honest feedback.  Comment from Bhavin Sheth(@allinonetools_net): For me it started with small daily friction I kept ignoring repeating the same tiny tasks across too many tools. The signal

... concept and execution. The problem i'm trying to solve: Most crypto traders lose money not because of bad analysis, but because of poor risk management, emotional decisions, and lack of systematic planning. Trading groups just spam signals without teaching you how to trade. What I built: AI Plan Builder - Generate complete trade plans with technical analysis in 30 seconds Trading Journal - Track every trade with P&L analytics and pattern recognition Position Risk Calculator - Calculate proper position sizes ... ... never over-risk The Predictor (BETA) - AI-powered market prediction tool Trading Signals

... chase rankings. I launched it to learn, gain visibility, and have real conversations with other creators. So why did I create KironX? It all started with a very real need. X is full of signals but they re buried under noise. Imagine being invisible on X for a long time, and suddenly needing to talk about your product or about yourself just to build an audience. That was me. I spent hours scrolling, reading post after post, trying to understand ... ... tough today if you don t already have distribution and that s okay. What did work: real conversations with other creators honest feedback new users who actually tried the product a new Chrome Store review small numbers but real signals

... Insider Analytics and would love some feedback from fellow investors. https://insideranalytics.ai https://www.producthunt.com/prod... The idea is simple: company insiders (CEOs, CFOs, directors, major shareholders) legally buy and sell shares all the time, and those moves can sometimes signal confidence, caution, or major shifts inside a company. The problem is that this data is buried in SEC filings and hard to track in a useful way. Insider Analytics helps investors: Track insider buying and selling in real time Spot ... ... unusual or high-value transactions Filter by company, insider role, or transaction size Monitor trends that might signal

... Acknowledging the quiet signs that require external help. He knew he was struggling, but talking about it felt difficult, almost embarrassing. The application provided a different language: the Silent Signal. It wasn't a demand for a therapist; it was a recognition that a chronic pattern (Stress + No Control for ten days) requires visibility. The system spoke for him when his voice felt too weak. A heartbeat thought by Christian van Gils Use your thermometer for sickness leave prevention: www.pulseboard.nl ...

... built KeywordSentinel after a pattern kept repeating for me. I d stumble across conversations after the moment had passed: someone asking for a tool, complaining about a competitor, or actively looking for alternatives

... community! As founders and builders, we spend so much time crafting our products, but communication precision is equally crucial, whether pitching investors, writing copy, or leading teams. I just dropped a blog post with 26 genuinely challenging words that signal depth (not the usual "synergy" and "leverage" stuff): Ameliorate improve something already bad Obviate make unnecessary entirely Nascent early with visible potential Pernicious subtly harmful over time Confluence converging forces Each word includes strategic context for when ...

... Product Hunt? A: VeriTry is purpose-built for trial optimization, not software discovery. While directories focus on reviews and lead generation, we focus on trial-to-paid conversion. Our platform provides: Pre-qualified trial users with verified intent signals (budget authority, use case validation, timeline) Trial intelligence dashboards showing engagement patterns, feature adoption, and conversion probability scores Automated trial orchestration handling account creation, onboarding automation, and post-trial cleanup Two-sided accountability where both software companies and trial users build ... ... 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

... where real problems show up first. For me, that has always been Reddit. People describe pain there in plain language. They ask for solutions before they know what to buy. The challenge was never access, it was filtering signal from noise without spending hours scrolling. That led me to start building SignalCue

... SIGRANK Check it out Tagline SigRank: The Global Leaderboard for AI Systems and Their Sharpest Users. Powered by MO ES . One-Liner (Subheadline) Ranked in real time. Across all platforms. SigRank reveals who s shaping the AI frontier one signal at a time. What It Is SigRank is the world s first user-centric, cross-platform AI leaderboard. It ranks individual users, AI systems, and ecosystems measured by cognitive signal

... really sucked. When your product touches people s real lives, reliability is not a KPI. Meetings really matter to people. They re relationships. That s why we started in the first place. How you book your meetings send social signals to guests. It's an extension of us. I'm beyond thankful to our investors, advisors and creators, many of them followed us even when Ting was an idea in a PDF. I'm also grateful to @Google for letting ... ... heart for the users (and people in the PH community) who got in touch, offered time to talk and test Ting. I can't believe these people exist in the world. I've written about it before but getting signal

... Stop cold emailing strangers. Start engaging people already asking for help. LeadSynth AI monitors Reddit, X, and LinkedIn 24/7 for buying signals. When someone posts "looking for a lead gen tool," our AI agents reply automatically with helpful, contextual answers. How it works: - Monitors social platforms for intent signals

... Pricing & basics Free tier with weekly word limits Pro plan: $12/month (annual billing) Runs on Mac, Windows, iOS , and via iOS keyboard for system-wide mobile input Cloud inference tuned for ultra-low latency and high consistency Review Signal WisprFlow has the largest and deepest review footprint of the entire category. Several patterns stand out: Review spikes directly correlate to major releases Windows launch reviews from engineers and PMs adopting it at work iOS app + iOS keyboard launch ... ... widest usage range of any tool in the category. Founder reviews: the strongest count in the field More founders and builders have reviewed WisprFlow than any other voice input product often calling it part of their daily workflows. Weakness Signals

... tracking them daily and remembering to do it all by the next session. The main point wasn't even about describing the situation or mood of the day, but rather the emotions themselves because they are that first, automatic signal that triggers a reaction, a feeling, and, ultimately, a mood. At first, I tried keeping a paper diary, but quickly gave up: it's not always handy, I forget, I write sloppily... My psychologist insisted that consistency ... ... feeling. Sphera has an explanation for each emotion, its manifestations, and what it's associated with. For example: * anxiety is a derivative of fear; * Anger most often appears when boundaries or expectations are violated; * Sadness is a signal