... model build look clean. Then deal teams start hardcoding overrides before credit committee. Circularity switches get turned off "temporarily." Someone adds a VBA macro because the iterative calculation is slow. By month 18, there are 40 hidden sheets, three different

... Domain Packs: Teach DecisionBox

... sense. I would start building the product, then slowly share the journey once there is something concrete to show. Comment from Jim Jeffers(@jim_jeffers): I d separate build an audience from make the founder the product. The first can de

... read Beginner friendly April 2026 Flixty is an open-source, self-hosted social media creator studio that lets you publish to X, LinkedIn, Facebook, Instagram, TikTok, and YouTube from a single interface. NEXUS AI deploys it directly

... thought we were ready. Bigger deals. Fewer customers. Better margins. That was the dream

... Product Hunt Launch Kit ## Product Info Name: Moment Tools Tagline: Free online text processing tools for developers - Cron generator, timestamp converter, text dedup

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence

... same philosophy, and the differences matter more than most reviews acknowledge. 1. Accuracy That Works in the Real World Raw transcription accuracy in controlled test conditions is almost meaningless. What matters is accuracy across accents, speaking speeds, ambient noise, domain

... There are millions of apps across the App Store, Google Play, and the Microsoft Store. New ones launch every single day. Yet when you ask developers

... something stupid. We paused all human coding. Gave Claude (Anthropic) access to our GitHub repo. Told it to build new features, fix bugs, and ship. No human review. No guardrails. Just Claude and our codebase. For 7 days, it ran the engineering team. Here's what happened. Day

... 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

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... instantly, plus 5 bonus on your first subscription. Happy to answer anything ask away! Here it is - Full transparency - WYSIWYG - Munch.Video THE CORE LOOP ------------- Paste a YouTube URL, Vimeo URL, article URL, podcast RSS feed, or paste a transcript directly

... months ago, I launched a product. Beautiful landing page. Great onboarding. Real customers. Solid retention. One problem: AI never mentioned it. Not in ChatGPT. Not in Perplexity. Not in Gemini. We were invisible. And I didn't know why. So I spent the next 6 months reverse-engineering the answer. Here's what I learned. What I Built The product was solid. Nothing revolutionary, but genuinely useful: Solved a real problem 4.8 stars on reviews 20% MoM growth Customers ... ... found us, loved us But "found us" was the problem. Organic discovery

... realized I never did a proper rundown of everything it can do. The launch post covered the basics. This covers everything. THE CORE LOOP ------------- Paste a YouTube URL, Vimeo URL, article URL, podcast RSS feed, or paste a transcript directly. Munch extracts the content and Claude AI generates 8 pieces of content simultaneously: 1. LinkedIn Post 2. X Thread 3. Newsletter Section 4. Carousel Slide Guide 5. YouTube Description

... also indicates the topic s competitive intensity and potential business value. From this perspective, users no longer optimize isolated keywords. Instead, they can: Prioritize filling high-volume topics where current visibility is low Identify questions that are closer to the decision-making end of the funnel , where investing in content and source authority is most worthwhile Analytics: Multi-Dimensional

... where tokenization is part of your pricing decision? Comment from Dishant

... wait for recrawl. When an AI gets your brand wrong, there's no "recrawl." There's no "fix." There's just millions of users reading incorrect information about you and no way to correct it. Real examples from our data: Example A: SaaS pricing A B2B company updated their pricing in January. In March, ChatGPT was still citing their 2024 prices. Users thought they were hiding costs. Three enterprise deals

... content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs

... Yesterday I shared data from 50,000+ AI answers. Today I'm giving you the exact audit process we use at Rankfender the same one we've run for 500+ brands. Here's the hard truth: 78% of brands are completely invisible in AI answers. They spend thousands on SEO but never check if ChatGPT, Google SGE, or Perplexity actually mention them. Don't be one of them. This 30-minute audit will show you exactly where you stand ... ... exactly what to do: If you're invisible (score 0-49): Day

... data works. What we tested: Data

... 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

... learning platform that actually builds your thinking, not your dependence. You've done

... chatbot "why is my user retention dropping?" and you'll get a decent

... core idea: you write a spec, generate a structured prompt, hand both to your favorite coding agent, and it builds in phases via PRs. Then a separate set of agents (through a GitHub Action called Omar Gate) enforces those specs deep-scanning every PR for security holes, architecture drift

... deeply foundational level was your methodology regarding continuous, statistically meaningful monitoring. The integration of a tool like Gauge to empirically track the volatility of citation rates across different