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CODEX SKILL THAT FINDS THE BEST PRICING FOR YOUR STARTUP! I made a Codex skill that analyzes your startup and recommends how you should monetize it. Send it your startup URL while Codex researches competitors, compares pricing models, and recommends concrete plans and price hypotheses. -> monthly vs annual...

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Kappaemme

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14,850 просмотров • 7 дней назад •via X (Twitter)

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CODEX SKILL THAT FINDS YOUR STARTUP’S FIRST CUSTOMERS! I made a Codex skill that analyzes your startup and finds potential customers from real public signals. Paste your startup URL while Codex defines your ideal customer, searches public discussions, qualifies each prospect, and generates a polished report with personalized outreach openers. -> ideal customer profile analysis -> public pain + buying signal research -> evidence-backed prospect shortlist -> fit, timing + reachability scores -> original source links for every prospect -> personalized outreach openers -> polished HTML report -> one-command install Install: npx --yes codex-first-customer-finder-skill 100% open source. Repo in Bio.
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CODEX SKILL THAT FINDS YOUR STARTUP’S FIRST CUSTOMERS! I made a Codex skill that analyzes your startup and finds potential customers from real public signals. Paste your startup URL while Codex defines your ideal customer, searches public discussions, qualifies each prospect, and generates a polished report with personalized outreach openers. -> ideal customer profile analysis -> public pain + buying signal research -> evidence-backed prospect shortlist -> fit, timing + reachability scores -> original source links for every prospect -> personalized outreach openers -> polished HTML report -> one-command install Install: npx --yes codex-first-customer-finder-skill 100% open source. Repo in Bio.

Kappaemme

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CODEX SKILL TO BRUTALLY TEST ANY STARTUP IDEA! Most startup ideas sound good. This Codex skill tells you why they probably won’t work. Just give Codex your idea and it pressure-tests it for you -> finds the core assumption -> exposes fatal flaws -> checks if the problem is real -> maps real competitors -> plans your first 10 customers -> defines a 2 week MVP Install: npx --yes codex-startup-pressure-test-skill@latest 100% open source. Repo in bio
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CODEX SKILL TO BRUTALLY TEST ANY STARTUP IDEA! Most startup ideas sound good. This Codex skill tells you why they probably won’t work. Just give Codex your idea and it pressure-tests it for you -> finds the core assumption -> exposes fatal flaws -> checks if the problem is real -> maps real competitors -> plans your first 10 customers -> defines a 2 week MVP Install: npx --yes codex-startup-pressure-test-skill@latest 100% open source. Repo in bio

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CODEX SKILL THAT FINDS COMPLEXITY HOTSPOTS IN YOUR CODEBASE! I made a Codex skill that analyzes your codebase and reports where performance can be improved safely. Scan your project while Codex checks loops, repeated lookups, render-heavy code, N+1 patterns, and places where complexity can potentially be reduced without breaking behavior. -> codebase complexity analysis -> O(n²), O(n*m), repeated scan detection -> before/after complexity estimates -> safe optimization suggestions -> risk level + tests needed -> report-only mode by default -> one-command install Install: npx --yes codex-complexity-optimizer 100% open source. Repo in Bio.
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CODEX SKILL THAT FINDS COMPLEXITY HOTSPOTS IN YOUR CODEBASE! I made a Codex skill that analyzes your codebase and reports where performance can be improved safely. Scan your project while Codex checks loops, repeated lookups, render-heavy code, N+1 patterns, and places where complexity can potentially be reduced without breaking behavior. -> codebase complexity analysis -> O(n²), O(n*m), repeated scan detection -> before/after complexity estimates -> safe optimization suggestions -> risk level + tests needed -> report-only mode by default -> one-command install Install: npx --yes codex-complexity-optimizer 100% open source. Repo in Bio.

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CODEX SKILL THAT TURNS LOCAL SEARCH INTO CLIENT LEADS! I made a Codex skill that helps find local businesses that may need a website. Search nearby shops, gyms, restaurants, salons, and local activities while Codex checks who has a real website and who only has socials. -> local business prospecting -> website vs social-only checks -> lead scoring -> phone/contact fields -> chat or CSV-style output -> one-command install Install: npx --yes local-client-prospector-skill 100% open source. Repo in Bio.
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CODEX SKILL THAT TURNS LOCAL SEARCH INTO CLIENT LEADS! I made a Codex skill that helps find local businesses that may need a website. Search nearby shops, gyms, restaurants, salons, and local activities while Codex checks who has a real website and who only has socials. -> local business prospecting -> website vs social-only checks -> lead scoring -> phone/contact fields -> chat or CSV-style output -> one-command install Install: npx --yes local-client-prospector-skill 100% open source. Repo in Bio.

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323,504 просмотров • 2 месяцев назад

Most founders accidentally train their customers never to pay them. Madhavan Ramanujam (the "pricing guru" of Silicon Valley - having worked with LinkedIn, Uber, and 30+ unicorns) calls it the 20/80 Pricing Trap • 20% of your features drive 80% of the willingness to pay • Founders give that 20% away for free to gain distribution • You are left trying to monetize the remaining 80% of features - the ones users don't actually value. The result? You build a charity, not a business. In this week's episode of The Library of Minds, we discuss the science of monetization and deconstruct how to architect ‘Profitable Growth’ - the core framework from his new book, Scaling Innovation. 03:33 - Netflix vs Blockbuster: The Pricing Decision That Changed Tech 08:06 - Why Most Startups Get Pricing Wrong 11:39 - Freemium vs Paid: When Free Destroys Value 15:38 - Pricing Models Matter More Than Price 16:28 - The AI Pricing Framework: Autonomy vs Attribution 21:49 - The Biggest Pricing Mistake Ever 25:05 - Why Steve Jobs Was a Pricing Genius 26:44 - Behavioral Pricing: How Founders 10× Deals Without Changing Product 31:02 - Data vs Conviction: How Great Founders Make Pricing Decisions
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Most founders accidentally train their customers never to pay them. Madhavan Ramanujam (the "pricing guru" of Silicon Valley - having worked with LinkedIn, Uber, and 30+ unicorns) calls it the 20/80 Pricing Trap • 20% of your features drive 80% of the willingness to pay • Founders give that 20% away for free to gain distribution • You are left trying to monetize the remaining 80% of features - the ones users don't actually value. The result? You build a charity, not a business. In this week's episode of The Library of Minds, we discuss the science of monetization and deconstruct how to architect ‘Profitable Growth’ - the core framework from his new book, Scaling Innovation. 03:33 - Netflix vs Blockbuster: The Pricing Decision That Changed Tech 08:06 - Why Most Startups Get Pricing Wrong 11:39 - Freemium vs Paid: When Free Destroys Value 15:38 - Pricing Models Matter More Than Price 16:28 - The AI Pricing Framework: Autonomy vs Attribution 21:49 - The Biggest Pricing Mistake Ever 25:05 - Why Steve Jobs Was a Pricing Genius 26:44 - Behavioral Pricing: How Founders 10× Deals Without Changing Product 31:02 - Data vs Conviction: How Great Founders Make Pricing Decisions

Dara

215,455 просмотров • 7 месяцев назад

Pricing doesn’t have to be guesswork anymore! 🥳 🎉 Introducing - The smart founder’s way to optimize pricing plans & boost conversions. Here is how Tierly works: 👩🏼‍💻You submit your URL ⛏️ Tierly's AI Agents extract your product's tiers 🔍 Scan the market/extract top competitors’ tiers ⚖️ Compare your tiers against competitors' 🧐 Generate in-depth analysis + actionable recommendations to optimize your tiers 📈 You implement the tailored Evaluation Report for market domination! 🎥 Check out the demo below ⇣ to see Tierly in action! ✨ The Waitlist is now open! Join us & dominate your competition before they get their hands on Tierly! 💬 Have questions or suggestions? Drop a comment or DM me—I’d love to hear from you! -- PS: Sometimes all it takes is a little 💨push, then you go all-in! Thank you all in the #buildinpublic community for the 🧡 and support so far! #indiehackers #tierly
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Pricing doesn’t have to be guesswork anymore! 🥳 🎉 Introducing - The smart founder’s way to optimize pricing plans & boost conversions. Here is how Tierly works: 👩🏼‍💻You submit your URL ⛏️ Tierly's AI Agents extract your product's tiers 🔍 Scan the market/extract top competitors’ tiers ⚖️ Compare your tiers against competitors' 🧐 Generate in-depth analysis + actionable recommendations to optimize your tiers 📈 You implement the tailored Evaluation Report for market domination! 🎥 Check out the demo below ⇣ to see Tierly in action! ✨ The Waitlist is now open! Join us & dominate your competition before they get their hands on Tierly! 💬 Have questions or suggestions? Drop a comment or DM me—I’d love to hear from you! -- PS: Sometimes all it takes is a little 💨push, then you go all-in! Thank you all in the #buildinpublic community for the 🧡 and support so far! #indiehackers #tierly

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🚨 FREEPIK HAS RESET AI PRICING This isn't a flash sale or a limited-time deal. Freepik has quietly changed the rules. With the same subscription, you get more generations and a lower cost per output. Unlike most platforms that rely on discounts and countdowns, Freepik has redesigned its pricing structure. Here's what that means: ✅ Permanently reduced credit costs for top AI models ✅ More generations without upgrading plans ✅ Designed for high-volume creators and teams ✅ No gimmicks, no urgency traps One subscription now gives you access to: → Nano Banana Pro (now unlimited 🍌) → Google Veo 3.1 → Kling 2.5 & 2.6 → 30+ leading AI models → Lowest credit cost in the market Same price. More output. Long-term value. If your workflow relies on generating AI content at scale, this matters—a lot.Why pay more to generate less? 🔗 Freepik
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🚨 FREEPIK HAS RESET AI PRICING This isn't a flash sale or a limited-time deal. Freepik has quietly changed the rules. With the same subscription, you get more generations and a lower cost per output. Unlike most platforms that rely on discounts and countdowns, Freepik has redesigned its pricing structure. Here's what that means: ✅ Permanently reduced credit costs for top AI models ✅ More generations without upgrading plans ✅ Designed for high-volume creators and teams ✅ No gimmicks, no urgency traps One subscription now gives you access to: → Nano Banana Pro (now unlimited 🍌) → Google Veo 3.1 → Kling 2.5 & 2.6 → 30+ leading AI models → Lowest credit cost in the market Same price. More output. Long-term value. If your workflow relies on generating AI content at scale, this matters—a lot.Why pay more to generate less? 🔗 Freepik

James Bond

27,427 просмотров • 6 месяцев назад

I found a skill that turns Claude into an AI ad creative maker. It’s called Goose Ads by Gooseworks, and it works directly inside Claude, Claude Code, Cowork, or Codex. You can now create ad creatives for your brand with one command. How it works: → Install Gooseworks npx gooseworks install --all → Run this prompt /goose-ads create ads for my brand → Optional Pick templates you like on the platform Goose Ads finds creatives that companies are already spending money on, studies what is working, and generates new ad creatives for your brand. It also keeps everything aligned with your website, messaging, logo, assets, and positioning, so the final output feels brand-ready instead of generic. And this is bigger than one ad skill. Gooseworks has 100+ open-source growth skills for ads, content, competitor research, GTM, SEO, lead generation, and more. Claude is slowly becoming more than a chatbot. It is becoming a growth operator. Comment 'Goose' and I’ll DM you the full open-source skill library.
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I found a skill that turns Claude into an AI ad creative maker. It’s called Goose Ads by Gooseworks, and it works directly inside Claude, Claude Code, Cowork, or Codex. You can now create ad creatives for your brand with one command. How it works: → Install Gooseworks npx gooseworks install --all → Run this prompt /goose-ads create ads for my brand → Optional Pick templates you like on the platform Goose Ads finds creatives that companies are already spending money on, studies what is working, and generates new ad creatives for your brand. It also keeps everything aligned with your website, messaging, logo, assets, and positioning, so the final output feels brand-ready instead of generic. And this is bigger than one ad skill. Gooseworks has 100+ open-source growth skills for ads, content, competitor research, GTM, SEO, lead generation, and more. Claude is slowly becoming more than a chatbot. It is becoming a growth operator. Comment 'Goose' and I’ll DM you the full open-source skill library.

Jaynit Makwana

53,865 просмотров • 23 дней назад

Today we're launching Goose Ads in Claude. This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skill: npx gooseworks install --all 2. Run this prompt: /goose-ads create ads for my brand 3. (Optional) Pick templates you like on the platform The skill finds top-performing ads that companies are already spending $ on and generates creatives for your brand. It also ensures that generated creatives are accurate to your brand's messaging, logo, assets, etc. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
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Today we're launching Goose Ads in Claude. This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skill: npx gooseworks install --all 2. Run this prompt: /goose-ads create ads for my brand 3. (Optional) Pick templates you like on the platform The skill finds top-performing ads that companies are already spending $ on and generates creatives for your brand. It also ensures that generated creatives are accurate to your brand's messaging, logo, assets, etc. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Shiv

589,592 просмотров • 1 месяц назад

I just went down this rabbit hole, and it's so fascinating. So apparently, airlines have been selling your data to competitors for years. Strange right? I know, hear me out... It's called dynamic pricing. Dynamic pricing is when a company charges you a price calculated specifically for you, based on what they know about you, rather than a fixed price everyone sees. Nobody called it surveillance. The mainstream take on dynamic pricing is that it's sinister and new. Corporations secretly watching, jacking up prices, exploiting desperation. That anger is mostly right. Dynamic pricing isn't a bug that crept into capitalism. It's the entire architecture of how information asymmetry becomes profit. Airlines have always charged different people different prices for the same seat. Hotels. Insurance companies. Actuarial profiling predates the internet. What changed isn't the behavior. It's the resolution. Your battery at 8% telling Uber you're stranded is a higher-resolution version of the taxi driver who saw you running in the rain and didn't turn the meter off. The new part is the precision. They know you searched the same flight six times. They know you're on a Mac. They know your zip code and how long you've been sitting on the page. Old dynamic pricing responded to demand. Surveillance pricing responds to you. The counterargument from the market side is real. Personalization can mean discounts. But companies optimizing for revenue will use behavioral data to find the ceiling, not the floor. What are your thoughts? Is this fair or pure greed from big corp? That's a wrap. Li is a gallery for the greatest minds in economics, psychology, and history. Follow if that interests you. We are ONE genius away. -- P.S. I'm building a course on how the world actually works. Not the surface story, but the incentive layer underneath it. Who funds what. Who benefits from what you believe? Why the official explanation is rarely the complete one. Comment "yes" if you're interested in something like this. Waitlist opens soon.
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I just went down this rabbit hole, and it's so fascinating. So apparently, airlines have been selling your data to competitors for years. Strange right? I know, hear me out... It's called dynamic pricing. Dynamic pricing is when a company charges you a price calculated specifically for you, based on what they know about you, rather than a fixed price everyone sees. Nobody called it surveillance. The mainstream take on dynamic pricing is that it's sinister and new. Corporations secretly watching, jacking up prices, exploiting desperation. That anger is mostly right. Dynamic pricing isn't a bug that crept into capitalism. It's the entire architecture of how information asymmetry becomes profit. Airlines have always charged different people different prices for the same seat. Hotels. Insurance companies. Actuarial profiling predates the internet. What changed isn't the behavior. It's the resolution. Your battery at 8% telling Uber you're stranded is a higher-resolution version of the taxi driver who saw you running in the rain and didn't turn the meter off. The new part is the precision. They know you searched the same flight six times. They know you're on a Mac. They know your zip code and how long you've been sitting on the page. Old dynamic pricing responded to demand. Surveillance pricing responds to you. The counterargument from the market side is real. Personalization can mean discounts. But companies optimizing for revenue will use behavioral data to find the ceiling, not the floor. What are your thoughts? Is this fair or pure greed from big corp? That's a wrap. Li is a gallery for the greatest minds in economics, psychology, and history. Follow if that interests you. We are ONE genius away. -- P.S. I'm building a course on how the world actually works. Not the surface story, but the incentive layer underneath it. Who funds what. Who benefits from what you believe? Why the official explanation is rarely the complete one. Comment "yes" if you're interested in something like this. Waitlist opens soon.

GeniusThinking

38,698 просмотров • 3 месяцев назад

Today we're launching Brand Skills in Claude. This is a set of skills /gooseworks that gives Claude full context on your brand — logo, colors, voice, positioning — so anyone can make on-brand ads and content directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skills: npx gooseworks install --all 2. Run this prompt: /gooseworks --skill brand-intel-branddev [your-website] — pulls your logo, brand colors + company data in ~15 seconds 3. Run brand-voice-extractor, brand-research and update-brand-kit — Claude learns how you sound, your positioning and audience, and saves it all as a reusable brand kit Every other skill reads your brand kit automatically. So every ad and post you generate is accurate to your brand's messaging, logo, assets, etc. By default. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
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Today we're launching Brand Skills in Claude. This is a set of skills /gooseworks that gives Claude full context on your brand — logo, colors, voice, positioning — so anyone can make on-brand ads and content directly in Claude, Claude Code, Cowork, or Codex. Here's how it works: 1. Install the skills: npx gooseworks install --all 2. Run this prompt: /gooseworks --skill brand-intel-branddev [your-website] — pulls your logo, brand colors + company data in ~15 seconds 3. Run brand-voice-extractor, brand-research and update-brand-kit — Claude learns how you sound, your positioning and audience, and saves it all as a reusable brand kit Every other skill reads your brand kit automatically. So every ad and post you generate is accurate to your brand's messaging, logo, assets, etc. By default. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

139,502 просмотров • 24 дней назад

Three skills I use every day in Claude Code and Codex to solve my hardest problems: 1️⃣ /agent-watchdog When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread. You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed. It can also test the work of the other agent end-to-end. Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one. 2️⃣ /plan-arbiter Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute. I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them. Then I usually have Claude Code watchdog the Codex work and fix anything that was missed. 3️⃣ /read-the-damn-docs One thing that drives me crazy with coding agents is they're so reluctant to look up docs. They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things. Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem. So I made the /read-the-damn-docs skill. Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for. All of these are totally open source over on my GitHub. If you try them, let me know your feedback. Will link to them below:
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Three skills I use every day in Claude Code and Codex to solve my hardest problems: 1️⃣ /agent-watchdog When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread. You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed. It can also test the work of the other agent end-to-end. Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one. 2️⃣ /plan-arbiter Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute. I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them. Then I usually have Claude Code watchdog the Codex work and fix anything that was missed. 3️⃣ /read-the-damn-docs One thing that drives me crazy with coding agents is they're so reluctant to look up docs. They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things. Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem. So I made the /read-the-damn-docs skill. Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for. All of these are totally open source over on my GitHub. If you try them, let me know your feedback. Will link to them below:

Steve (Builder.io)

42,501 просмотров • 1 месяц назад

Your website doesn't need a redesign. It needs an honest audit. Most founders spend weeks changing headlines, tweaking CTAs, or redesigning pages... without knowing what's actually stopping people from converting. That's why I like what the team at Kite AI built. At you can get a free Growth Grader that audits your website across messaging, conversions, SEO, AI visibility, pricing, and technical health. It doesn't just tell you what's wrong it prioritizes the fixes that will have the biggest impact and even shows a before/after version of your homepage. The best part? No signup required. Just reply to Kite AI with your website URL, and it'll send back your Growth Grader in about 5 minutes. If you're building a startup, this is probably the easiest way to find out why your website isn't pulling its weight. Check out here:
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Your website doesn't need a redesign. It needs an honest audit. Most founders spend weeks changing headlines, tweaking CTAs, or redesigning pages... without knowing what's actually stopping people from converting. That's why I like what the team at Kite AI built. At you can get a free Growth Grader that audits your website across messaging, conversions, SEO, AI visibility, pricing, and technical health. It doesn't just tell you what's wrong it prioritizes the fixes that will have the biggest impact and even shows a before/after version of your homepage. The best part? No signup required. Just reply to Kite AI with your website URL, and it'll send back your Growth Grader in about 5 minutes. If you're building a startup, this is probably the easiest way to find out why your website isn't pulling its weight. Check out here:

Shruti Codes

50,380 просмотров • 16 дней назад

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:
0:20

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:

Rimsha Bhardwaj

61,011 просмотров • 2 месяцев назад

Higgsfield MCP + Codex is f*cking wild 🤯 Here's how you can generate 17 on-brand Amazon listing images by uploading one product photo. One plain-English prompt, zero manual generation. All inside the Codex app. Perfect for DTC brands and agencies who need production-quality product shots without booking a shoot or briefing a designer. If you're prompting image generators one shot at a time: Tweaking the lighting, adjusting the angle, re-running generations until something usable comes out. This combination eliminates the entire loop: → Install the Higgsfield CLI and add the skills to Codex in 5 minutes → Drop one product photo into your project folder → Type one prompt: "make me Amazon listing images — hero, lifestyle, detail, angles" → Codex interprets it, Higgsfield skills fire automatically → Finished images land in an organized folder on your machine No manual prompt tweaking. No re-running generations. No briefing a designer. What you get: → Production-quality listing images from a single product photo → Lighting, angles, and reflections handled automatically → Everything organized into folders locally on your machine → A pipeline that runs in minutes, not days Setup takes five minutes. I put together a full guide showing the exact install, the skills setup, and the prompt to run it yourself. Want it for free? > Like this post > Comment "CODEX" And I'll send it over (must be following so I can DM)
0:31

Higgsfield MCP + Codex is f*cking wild 🤯 Here's how you can generate 17 on-brand Amazon listing images by uploading one product photo. One plain-English prompt, zero manual generation. All inside the Codex app. Perfect for DTC brands and agencies who need production-quality product shots without booking a shoot or briefing a designer. If you're prompting image generators one shot at a time: Tweaking the lighting, adjusting the angle, re-running generations until something usable comes out. This combination eliminates the entire loop: → Install the Higgsfield CLI and add the skills to Codex in 5 minutes → Drop one product photo into your project folder → Type one prompt: "make me Amazon listing images — hero, lifestyle, detail, angles" → Codex interprets it, Higgsfield skills fire automatically → Finished images land in an organized folder on your machine No manual prompt tweaking. No re-running generations. No briefing a designer. What you get: → Production-quality listing images from a single product photo → Lighting, angles, and reflections handled automatically → Everything organized into folders locally on your machine → A pipeline that runs in minutes, not days Setup takes five minutes. I put together a full guide showing the exact install, the skills setup, and the prompt to run it yourself. Want it for free? > Like this post > Comment "CODEX" And I'll send it over (must be following so I can DM)

Mike Futia

12,811 просмотров • 1 месяц назад

Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.
0:28

Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

47,582 просмотров • 19 дней назад

Penny Wise, Pound Foolish: The Saga of Rewards and Fees Rewards Our customers enjoy earning millions in rewards, primarily through free accounts or a £/€4.99/month subscription. To give context, 95% of customers on lower subscription plans earned over $10 million in PLU in the past 18 months, while the 5% actively pursuing higher reward levels earned considerably less. Pricing These benefits are substantial, and we comprehend that any reduction in benefits or increase in prices might not be met with enthusiasm. However, I want to highlight the importance of fair value. The undervalued (low cost vs. high benefits) pricing structure for subscription plans was part of our introductory offer in 2021. Now, it is being adjusted to its fair value whilst remaining more cost-effective than 100% of other rewards cards. Sustainability Plutus was created with long-term sustainability in mind. Introducing a fair pricing and reward structure enables us to offer bank-like features at scale and sustain rewards for millions of customers over decades, rather than exclusively catering to a small subset of users who earn rewards through low-cost accounts during the company's growth stages. Benefits While other crypto rewards cards have penalised their loyal supporters for locking up funds in custodian services, we have chosen to enhance the benefits for our participating customers who stack their rewards in their self-custody wallets. We've also made sure that the benefits for non-participating customers continue to far outweigh the cost of their subscription fee. Cognition If you find our proposed prices non-competitive and the rewards returned on your monthly subscription fee (ROI) fall short of what other crypto rewards cards in the industry offer, we would be more than willing to review the supporting data and our decision. However, we are confident in the value-for-money that our service offers and anticipate an increase in new card signups and stackers on Reward Levels. Moving Forward… The new pricing and reward structure for non-participants encourages fair payment or reward level upgrades to continue receiving higher rewards. We expect this approach to remain effective over long-term, particularly since our proposed model upholds our position as the best-value rewards card. Thank you to those who understand. We value our customers' feedback and joined them earlier this week in Berlin to address pressing questions.👇🏽
58:55

Penny Wise, Pound Foolish: The Saga of Rewards and Fees Rewards Our customers enjoy earning millions in rewards, primarily through free accounts or a £/€4.99/month subscription. To give context, 95% of customers on lower subscription plans earned over $10 million in PLU in the past 18 months, while the 5% actively pursuing higher reward levels earned considerably less. Pricing These benefits are substantial, and we comprehend that any reduction in benefits or increase in prices might not be met with enthusiasm. However, I want to highlight the importance of fair value. The undervalued (low cost vs. high benefits) pricing structure for subscription plans was part of our introductory offer in 2021. Now, it is being adjusted to its fair value whilst remaining more cost-effective than 100% of other rewards cards. Sustainability Plutus was created with long-term sustainability in mind. Introducing a fair pricing and reward structure enables us to offer bank-like features at scale and sustain rewards for millions of customers over decades, rather than exclusively catering to a small subset of users who earn rewards through low-cost accounts during the company's growth stages. Benefits While other crypto rewards cards have penalised their loyal supporters for locking up funds in custodian services, we have chosen to enhance the benefits for our participating customers who stack their rewards in their self-custody wallets. We've also made sure that the benefits for non-participating customers continue to far outweigh the cost of their subscription fee. Cognition If you find our proposed prices non-competitive and the rewards returned on your monthly subscription fee (ROI) fall short of what other crypto rewards cards in the industry offer, we would be more than willing to review the supporting data and our decision. However, we are confident in the value-for-money that our service offers and anticipate an increase in new card signups and stackers on Reward Levels. Moving Forward… The new pricing and reward structure for non-participants encourages fair payment or reward level upgrades to continue receiving higher rewards. We expect this approach to remain effective over long-term, particularly since our proposed model upholds our position as the best-value rewards card. Thank you to those who understand. We value our customers' feedback and joined them earlier this week in Berlin to address pressing questions.👇🏽

Danial Daychopan

27,233 просмотров • 2 лет назад

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?
24:41

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

GREG ISENBERG

68,477 просмотров • 1 месяц назад

Many startups find early pull, but only a few break out. Why? They stop at product/market fit and never find business model fit. Business model fit isn’t just about how much you charge for your product, but HOW you charge for it, and how you align customer value with your pricing. There’s a lot of advice out there about seat-based vs. usage-based vs. outcome-based pricing, but all of that is just noise. The search for business model fit is as specific to your company as the search for product market fit. You need to align your acquisition strategy and monetization strategy with your customer and product. It’s all one interconnected system. Take Slack for example: many associate Slack’s early success with its fun, creative design and fresh approach to communication. That’s what drew people to the product. But a big part of what made Slack a breakout success was business model fit. Freemium wasn’t just an acquisition tactic, it was essential to driving the revenue flywheel, viral expansion, and adoption in the enterprise. Obvious in retrospect, but controversial and against the grain of what others were doing at the time. The best founders don’t just chase product/market fit, they design a business model to make their product unstoppable. If that’s you, we want to meet you a16z speedrun 🧊 - link in replies
2:07

Many startups find early pull, but only a few break out. Why? They stop at product/market fit and never find business model fit. Business model fit isn’t just about how much you charge for your product, but HOW you charge for it, and how you align customer value with your pricing. There’s a lot of advice out there about seat-based vs. usage-based vs. outcome-based pricing, but all of that is just noise. The search for business model fit is as specific to your company as the search for product market fit. You need to align your acquisition strategy and monetization strategy with your customer and product. It’s all one interconnected system. Take Slack for example: many associate Slack’s early success with its fun, creative design and fresh approach to communication. That’s what drew people to the product. But a big part of what made Slack a breakout success was business model fit. Freemium wasn’t just an acquisition tactic, it was essential to driving the revenue flywheel, viral expansion, and adoption in the enterprise. Obvious in retrospect, but controversial and against the grain of what others were doing at the time. The best founders don’t just chase product/market fit, they design a business model to make their product unstoppable. If that’s you, we want to meet you a16z speedrun 🧊 - link in replies

Fareed Mosavat

24,820 просмотров • 10 месяцев назад

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch
49:16

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch

GREG ISENBERG

153,730 просмотров • 17 дней назад