Alex Prompter
- 🚨 BREAKING: Claude has a feature called Decision Intelligence Mode. You can use it to solve any business or career problem using 7 proven frameworks that consultants charge $500/hour to apply. Here are 7 prompts to access it: 👇
- Claude is insane for product management. I reverse-engineered how top PMs at Google, Meta, and Anthropic use it. The difference is night and day. Here are 10 prompts they don't want you to know (but I'm sharing anyway):
- Shipping an app takes a weekend now. Getting 100 people to use it takes everything else. I watch vibe coders ship something solid, post it once, and get zero traction. Here are 7 distribution moves I'd run if I shipped today. 1. Stack your launches instead of betting on one day. A Top-5 Product Hunt finish gets you around 1,500 visitors and 120 signups in 48 hours. That's good, not life-changing. Run it as a sequence: Product Hunt, then Peerlist (week-long window, every product gets featured), then Show HN, then the directory long tail. Each one is a discovery moment and a permanent backlink. 2. List on the AI directories built for apps like yours. There's An AI For That, Toolify, and Futurepedia send buyer-intent traffic that doesn't expire, plus dofollow links that get your app cited inside ChatGPT and Perplexity answers. Toolify takes a one-time fee around $99 and ranks because of aggressive category SEO. 3. Build in public, but post lessons, not features. Revenue screenshots get likes. "Here's the approach I tried, why it broke, what I switched to" gets follows and signups. Base44 grew to 250,000 users in about six months on nothing but the founder sharing the build, then sold to Wix for $80M. 4. Get your first 100 users from Reddit, not your timeline. Honest "here's what I built and learned" posts in r/SideProject and your exact niche subs out-convert Product Hunt for most indie apps. One founder pulled 60 of their first 100 users from Reddit. Set up F5Bot to ping you the second someone mentions your keywords so you reach the thread first. 5. Pay creators to demo your app before you pay Meta to guess at your audience. A few hundred dollars to niche micro-influencers for native "here's what I use" videos beats broad social ads under $1,000, which need triple that to even produce usable data. Cal AI's founder DM'd fitness creators by hand and pushed the app past a million downloads. 6. Run paid as narrow intent capture, never broad prospecting. Skip Meta until your budget can feed it. Put $10 to $20 a day into long-tail Google Search on 5 to 10 buying-intent keywords like "best [your category] for [audience]" That tests whether people will pay before you scale anything. 7. Ship free micro-tools instead of blog posts. AI Overviews gutted informational SEO, and 83% of searches that trigger one end without a single click. Small free tools still pull traffic: target "[thing] generator" and "[thing] calculator" keywords, the kind your AI coding tool builds in an afternoon, and point them straight at your app as the upgrade.
- Claude Opus 4.6 just became the most dangerous competitive intelligence tool on Earth. I reverse-engineered my competitor's entire strategy in minutes. Found their pricing, positioning, weaknesses, and future roadmap. Here's the prompt (use responsibly): --- "Conduct deep competitive intelligence on [COMPETITOR NAME]: COMPANY OVERVIEW: - Founding story and key milestones - Leadership team (backgrounds, previous companies) - Funding history (rounds, investors, valuations, burn rate estimates) - Employee count and growth trajectory (check LinkedIn headcount) - Office locations and expansion patterns PRODUCT DEEP-DIVE: - Complete product catalog with descriptions - Pricing tiers (current + historical changes) - Feature comparison vs top 3 alternatives - Technology stack (from job postings, tech blogs, BuiltWith) - Recent product launches (last 12 months) - Roadmap clues (from: job postings, conference talks, patent filings, customer surveys) MARKET POSITIONING: - Target customer (size, industry, characteristics, job titles) - Ideal Customer Profile (ICP) based on case studies - Messaging and positioning (analyze website, ads, content) - Brand voice and personality - Key differentiators they claim GO-TO-MARKET STRATEGY: - Marketing channels (paid, organic, partnerships) - Content strategy (blog topics, frequency, engagement) - Sales approach (inbound vs outbound, PLG vs sales-led) - Partnership ecosystem (integrations, resellers, tech partners) - Event presence (conferences, webinars, sponsorships) CUSTOMER INTELLIGENCE: - Review analysis (G2, Capterra, TrustPilot - what do users love/hate?) - Common complaints (from Reddit, Twitter, support forums) - Feature requests and gaps (from public roadmap, user forums) - Churn signals (Glassdoor reviews, customer testimonials that stopped) STRATEGIC VULNERABILITIES: - What are they bad at? (based on reviews, hiring patterns) - What markets are they ignoring? - Where are they overextended? - Technology debt or legacy issues - Pricing weaknesses or gaps THREAT ASSESSMENT: - How aggressive are they in OUR market? - What would it take to compete effectively? - What could they do that would hurt us most? - Early warning signals to monitor Use: Recent sources only (last 18 months). Prioritize primary sources (their blog, official announcements, verified reviews). Flag speculation vs confirmed facts. Include URLs for verification." ---
🚨 BREAKING: Claude has a feature called Decision Intelligence Mode. You can use it to solve any business or career problem using 7 proven frameworks that consultants charge $500/hour to apply. Here are 7 prompts to access it: 👇
Claude is insane for product management. I reverse-engineered how top PMs at Google, Meta, and Anthropic use it. The difference is night and day. Here are 10 prompts they don't want you to know (but I'm sharing anyway):
Shipping an app takes a weekend now. Getting 100 people to use it takes everything else. I watch vibe coders ship something solid, post it once, and get zero traction. Here are 7 distribution moves I'd run if I shipped today. 1. Stack your launches instead of betting on one day. A Top-5 Product Hunt finish gets you around 1,500 visitors and 120 signups in 48 hours. That's good, not life-changing. Run it as a sequence: Product Hunt, then Peerlist (week-long window, every product gets featured), then Show HN, then the directory long tail. Each one is a discovery moment and a permanent backlink. 2. List on the AI directories built for apps like yours. There's An AI For That, Toolify, and Futurepedia send buyer-intent traffic that doesn't expire, plus dofollow links that get your app cited inside ChatGPT and Perplexity answers. Toolify takes a one-time fee around $99 and ranks because of aggressive category SEO. 3. Build in public, but post lessons, not features. Revenue screenshots get likes. "Here's the approach I tried, why it broke, what I switched to" gets follows and signups. Base44 grew to 250,000 users in about six months on nothing but the founder sharing the build, then sold to Wix for $80M. 4. Get your first 100 users from Reddit, not your timeline. Honest "here's what I built and learned" posts in r/SideProject and your exact niche subs out-convert Product Hunt for most indie apps. One founder pulled 60 of their first 100 users from Reddit. Set up F5Bot to ping you the second someone mentions your keywords so you reach the thread first. 5. Pay creators to demo your app before you pay Meta to guess at your audience. A few hundred dollars to niche micro-influencers for native "here's what I use" videos beats broad social ads under $1,000, which need triple that to even produce usable data. Cal AI's founder DM'd fitness creators by hand and pushed the app past a million downloads. 6. Run paid as narrow intent capture, never broad prospecting. Skip Meta until your budget can feed it. Put $10 to $20 a day into long-tail Google Search on 5 to 10 buying-intent keywords like "best [your category] for [audience]" That tests whether people will pay before you scale anything. 7. Ship free micro-tools instead of blog posts. AI Overviews gutted informational SEO, and 83% of searches that trigger one end without a single click. Small free tools still pull traffic: target "[thing] generator" and "[thing] calculator" keywords, the kind your AI coding tool builds in an afternoon, and point them straight at your app as the upgrade.
Claude Opus 4.6 just became the most dangerous competitive intelligence tool on Earth. I reverse-engineered my competitor's entire strategy in minutes. Found their pricing, positioning, weaknesses, and future roadmap. Here's the prompt (use responsibly): --- "Conduct deep competitive intelligence on [COMPETITOR NAME]: COMPANY OVERVIEW: - Founding story and key milestones - Leadership team (backgrounds, previous companies) - Funding history (rounds, investors, valuations, burn rate estimates) - Employee count and growth trajectory (check LinkedIn headcount) - Office locations and expansion patterns PRODUCT DEEP-DIVE: - Complete product catalog with descriptions - Pricing tiers (current + historical changes) - Feature comparison vs top 3 alternatives - Technology stack (from job postings, tech blogs, BuiltWith) - Recent product launches (last 12 months) - Roadmap clues (from: job postings, conference talks, patent filings, customer surveys) MARKET POSITIONING: - Target customer (size, industry, characteristics, job titles) - Ideal Customer Profile (ICP) based on case studies - Messaging and positioning (analyze website, ads, content) - Brand voice and personality - Key differentiators they claim GO-TO-MARKET STRATEGY: - Marketing channels (paid, organic, partnerships) - Content strategy (blog topics, frequency, engagement) - Sales approach (inbound vs outbound, PLG vs sales-led) - Partnership ecosystem (integrations, resellers, tech partners) - Event presence (conferences, webinars, sponsorships) CUSTOMER INTELLIGENCE: - Review analysis (G2, Capterra, TrustPilot - what do users love/hate?) - Common complaints (from Reddit, Twitter, support forums) - Feature requests and gaps (from public roadmap, user forums) - Churn signals (Glassdoor reviews, customer testimonials that stopped) STRATEGIC VULNERABILITIES: - What are they bad at? (based on reviews, hiring patterns) - What markets are they ignoring? - Where are they overextended? - Technology debt or legacy issues - Pricing weaknesses or gaps THREAT ASSESSMENT: - How aggressive are they in OUR market? - What would it take to compete effectively? - What could they do that would hurt us most? - Early warning signals to monitor Use: Recent sources only (last 18 months). Prioritize primary sources (their blog, official announcements, verified reviews). Flag speculation vs confirmed facts. Include URLs for verification." ---
