... very first person who mentioned PH here :) Comment from Dogan Akbulut(@doganakbulut): Great question! Here are my 5 essentials: Notion my second brain for notes, projects, and planning 2. Claude / ChatGPT brainstorming, drafting, and thinking through complex problems 3. VS Code can't write a single line of code without it 4. Slack async communication keeps my team in sync 5. Loom nothing beats a quick video when text just doesn't cut it Curious how many people overlap ... ... moving pieces. I really love it Comment from Nabeel Ali Hashmi(@nabeelalihashmi): @busmark_w_nika  Yes! Human, Problem Solver, Programmer! Comment from Nabeel Ali Hashmi(@nabeelalihashmi): If " simply couldn't do your work without" then VS

... Product Hunt. I'm Katherine from Pawse.ai , and together with co-founder Luis Magalh es, we built Pawse.ai because of Henry. ( https://www.producthunt.com/prod... ) Henry

... Most people don t have a productivity problem. They have a system problem . Choosing between Notion vs Todoist vs

... When I launched @Bitgrain , quite a lot of users signed up and created accounts. But during launch there were lots of bugs and missing features, hence most users dropped off. I kept improving the product but didn't see the old signed up users coming back (very few did). I thought of cold mailing the users for feedback, honestly didn't expect people to even open the mail, but surprisingly around 40-45% responded to the feedback mail! (for emails ... ... that's some crazy numbers I believe ) I found out that most people thought that the product won't have any more updates hence

... TolleCode for VS Code is now live (v0.1.0 Beta) I just released the first beta version of the Tollecode vscode

... Henry, the founder of QuantDinger. I built QuantDinger because I kept seeing the same problem in quant trading: Trading ideas are easy. Turning them into tested, executable, and continuously improvable strategies is hard. Most tools solve only one step. You may use one platform for charts, another for writing code, another for backtesting, another for exchange execution, and another for monitoring. QuantDinger is our attempt to connect the full workflow: Research Strategy Backtest Optimize Live Trading Monitor It is open ... ... builders, and anyone interested in quant trading infrastructure. If you try it, please let us know: What feels useful? What feels confusing? What should we build next? Thanks for checking it out Comment from Rian Robertson(@rianbrob): Impressive, Henry

... Quick story that pushed me to build PriceForge : Three weeks ago, I was in final stage of a $50K deal. Sales call went great. Then the pricing objection hit: Prospect: "Your competitor just dropped their Pro tier to $79/mo with unlimited workspaces." Me: frantically opening competitor

... think "build the brand" advice sometimes becomes an excuse to not build the hard thing. Comment from Piyush Gajrani(@piyush_teq): @busmark_w_nika Most founders don t fail at brand vs product they fail at timing clarity. Knowing when to show up vs

... evolve? Same question for standalone tools: does Clerk or Stripe get you where you need to go, or do you find yourself working around them? How much of your early building time would you say goes to "the thing" vs. everything around it? Curious to hear from all kinds of builders, AI-assisted or not; though especially those who are hands-on with their codebase day-to-day. I'm doing customer discovery in this space; genuine curiosity ... ... pitch. If you want to go deeper, I'd love a 30-minute chat! Book a slot that works for your schedule here Comment from Ryan Hendrickson

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... 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

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our competitor

... marketing problem. They think: "Let the SEO team handle it." Here's why that's wrong: Your product is being evaluated by AI every single day. When potential users ask: "What's the best tool for [your category]?" "Alternatives to [competitor

... answer about your category includes comparisons. Always. When someone asks "best CRM for agencies," AI doesn't list one tool. It lists 3-5. And it compares them. The data: Content Type Citation Rate Pages with comparison tables +470% vs. average Pages that mention competitors

... community I want to share something I've been building - Upvotics, a competitive intelligence platform for founders, marketers, and product teams who are tired of finding out what their competitors changed way too late. The problem I kept running into was simple. A competitor

... 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 credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... 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

... hurt early-stage founders. When you are in the early stage, you already doubt yourself enough. You are building, fixing, testing, trying to get users, trying to stay alive. Then you open LinkedIn, X, or founder communities and see competitors posting MRR screenshots, traffic spikes, and growth wins nonstop. And if you do not have built-in credibility, it hits even harder. You are not ex-Google. You are not YC-backed. You do not already have a huge audience ... ... sometimes the answer is no. Sometimes your product is actually better. Sometimes your users are happier. Sometimes your direction is stronger. But the other company is just better at turning random things into a growth story. We saw a competitor

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace the referenced code easily. However, when I started using the Claude Code VS

... product and what they truly value. Investors usually want to see traction with users, not just paying customers yet, so founders might intentionally delay strict paywalls to gather data and feedback. Later, the question becomes more about cost vs. user value. If a feature is core to understanding the product, putting it behind a paywall too early can backfire people might never experience the aha moment. In those cases, it often makes sense to make it free for a limited ... ... just letting it rip . I m very curious whether others have struggled with free trial versus

... 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 Y) 3.2x average Structured FAQs 2.8x average Data-driven articles (with stats, tables, studies) 2.4x average "How to" guides (step-by-step) 1.9x average Original research 1.7x average What performs poorly: Short opinion pieces Thin content (<500 words ... ... great for blue links. But none of them show you how you appear in AI answers. Here's what we track: Actual AI-generated answers mentioning your brand Citation rates across ChatGPT, Google SGE, Perplexity, Gemini Share of voice vs

... know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it! Comment from Ryan Hendrickson(@ryan_hendrickson

... connects directly to GSC and runs real-time analysis across 50+ SEO aspects: Top Page and Query Performance Top Mover Delta Analysis Growth and Decay Analysis Performance Trends Rank Disparity Analysis CTR Uplift Analysis Impression and CTR Segmentation Brand vs. Non-Brand Performance Cannibalization Analysis Topical Cluster Performance Device Parity Analysis Device Distribution Country Performance Long Tail Performance Trust and Authority Analysis Then it doesn't just report it. It moves from Performance Opportunity Analyze Fix Apply. Automatically. Comes with ... ... audits. Then: AI Brand Visibility Brand Analysis Prompt Run Prompt Tracking Competition Tracking Citation Tracking Monitored across Gemini, ChatGPT, Claude, Perplexity, Grok, and LLaMA. It surfaces missing semantic anchors, authority gaps, structural issues, knowledge reinforcement weaknesses, and citation loss vs