Ryan Monahan

Once you start asking public investors for 30x earnings, the tolerance for mistakes, misadventures and learning on the job goes down.

A Chinese engineering student built a weather tracking station in his dorm. Three Mac Minis. Two monitors. Satellite maps on both screens. Labels on each box: UI/UX. DEV. ADMIN. Total cost under $2,000. His roommate thought it was a climate research project. His professors thought it was a thesis prototype. He let everyone keep thinking that. Then someone noticed what the station was actually connected to. A wallet. Making $101K. Betting on the temperature. ColdMath. $101,042 profit. 5,252 predictions. Joined November 2025. Bio: Edge Compounds. → @ColdMath?via=carverfomo" target="_blank" rel="nofollow noopener">polymarket.com/@ColdMath?via=… The station does one thing. Claude pulls live pilot weather data. Real sensors. Real readings. Updated every 1-3 hours from stations worldwide. Compares it to prediction market prices. When they don't match the DEV box flags it. Mismatch found. He places the trade. Green result. $25 on Tokyo hitting 16C on March 20. Payout: $12,452. $24 on Chicago reaching 54F on March 11. Payout: $12,398. $13 on Lucknow hitting 39C on March 7. Payout: $6,850. Twenty five dollar bets returning twelve thousand. On the weather. A friend who flies commercial told him pilots get atmospheric data hours before any public forecast. Temperature to a tenth of a degree. This data is free. Aviation safety requires it. Nobody outside of aviation even looks at it. He looked. Pointed Claude at the feeds. Said: find me every city where the forecast doesn't match the price. Claude found dozens. Every single day. His roommate saw the station running one morning and finally asked what it actually does. The student showed him the balance. The roommate didn't say anything. Just asked for a second monitor. 34K people watching. $96K still loaded in active positions. Three Mac Minis. Two screens. One quiet kid who realized the most predictable thing on Earth is the thing everyone ignores. The weather.

This is awesome, Elon has a has a fully autonomous floor cleaner at Giga Texas.

Joe Hamm in Friends & Neighbors sounds just like @JohnCena

Food for thought. CDs were once a breakthrough innovation. Entire industries were built around them. Today, that entire ecosystem has been replaced by MP3s and streaming, all accessible from your phone. The lesson is straightforward. What feels foundational today can become obsolete faster than expected. Businesses that cling to legacy processes don’t just fall behind. They lose customers, operate with unnecessary cost, and introduce friction into the customer experience. Innovation is not a one time event. It is an operating discipline. Evolve daily. Document what works. Stress test outcomes. Then optimize with intent.

@spect3ral Claude

I built 10 Claude Code skills for Meta Ads They're free. Here's what they do: 👇 Operations: bleed-check: finds ad sets burning cash with zero conversions, pauses them rebalance: shifts budget from losers to winners automatically fatigue-scan: catches creative fatigue before your CPMs spike weekly-report: pulls KPIs, compares WoW, sends to Slack Creative & Intelligence: spy: scrapes competitor ads from the Ad Library, diffs weekly bulk-creative: generates 50–500 ad variations, renders to PNG hooks: writes 50+ copy variations using PAS, AIDA, BAB frameworks deploy-ads: reads a manifest, creates campaigns via API in minutes Setup & Architecture: setup-capi: generates production-ready Conversions API code audience-audit: finds overlap, maps funnel stages, fixes exclusions How to use them: Drop the .md files into .claude/commands/ Set your Meta access token Type /bleed-check, /spy, /hooks — it just runs ~25 hours/week of manual work → automated. No complex setup. No code to write. Just slash commands. Full skill files + setup guide in the article. Comment "CLAUDE" and I'll share the link (must be following!)

Food for thought … do you know the difference between opinion and knowledge? Everyone has an opinion, but not every opinion is fact.

@DipanshuKu55175 Bad ass. Do Jolt Cola next

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

Try Grok 4.20 Heavy

Wow 🙌 youtu.be/kRmZ5zmMS2o?si…

@TheKyleMac Haha

I do not consent to anyone using Grok to take my clothes off or put me in a bikini 😂 How dare you.

Extremely well executed, high yield / low cost, cross channel organic social campaign @PetSmart 🙌 @garyvee 👆

Le mec qui a créé Claude Code (@bcherny) vient de montrer comment son équipe dresse l’IA. Un fichier. CLAUDE.md. Tu le poses à la racine de ton projet. Dedans : les erreurs passées, les conventions, les règles. Claude le lit à chaque session. Résultat : l’agent s’améliore sans que tu retouches une ligne de code. Chaque bug corrigé devient une règle permanente. Boris Cherny utilise ça tous les jours chez Anthropic. Je vous mets son template ici. Prêt à copier/coller et à adapter à votre guise : ### 1. Plan Mode Default - Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions) - If something goes sideways, STOP and re-plan immediately — don't keep pushing - Use plan mode for verification steps, not just building - Write detailed specs upfront to reduce ambiguity ### 2. Subagent Strategy - Use subagents liberally to keep main context window clean - Offload research, exploration, and parallel analysis to subagents - For complex problems, throw more compute at it via subagents - One task per subagent for focused execution ### 3. Self-Improvement Loop - After ANY correction from the user: update `tasks/lessons. md` with the pattern - Write rules for yourself that prevent the same mistake - Ruthlessly iterate on these lessons until mistake rate drops - Review lessons at session start for relevant project ### 4. Verification Before Done - Never mark a task complete without proving it works - Diff behavior between main and your changes when relevant - Ask yourself: "Would a staff engineer approve this?" - Run tests, check logs, demonstrate correctness ### 5. Demand Elegance (Balanced) - For non-trivial changes: pause and ask "is there a more elegant way?" - If a fix feels hacky: "Knowing everything I know now, implement the elegant solution" - Skip this for simple, obvious fixes — don't over-engineer - Challenge your own work before presenting it ### 6. Autonomous Bug Fixing - When given a bug report: just fix it. Don't ask for hand-holding - Point at logs, errors, failing tests — then resolve them - Zero context switching required from the user - Go fix failing CI tests without being told how ## Task Management 1. **Plan First**: Write plan to `tasks/todo.md` with checkable items 2. **Verify Plan**: Check in before starting implementation 3. **Track Progress**: Mark items complete as you go 4. **Explain Changes**: High-level summary at each step 5. **Document Results**: Add review section to `tasks/todo. md` 6. **Capture Lessons**: Update `tasks/lessons. md` after corrections ## Core Principles - **Simplicity First**: Make every change as simple as possible. Impact minimal code. - **No Laziness**: Find root causes. No temporary fixes. Senior developer standards.

@FynCas Pod

Just generated this Podcast in 30 seconds 1. Use MakeUGC to animate an AI character 2. Upload a vertical video 3. Choose a voice to match the other voice 4. replace the AI character in the video with another image comment "POD" and I'll send you the full workflow

Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.

Zuck is a savage. First he wanted your data. Now he wants your AI’s data. Seems like a smart move. @elonmusk what’s is value of something like this?

@Eng_china5 That’s awesome

The new laptop from Huawei. Pay attention starting at the 13th second.

Brand is not decoration. It’s infrastructure. When brand is weak, marketing compensates with spend.

@AlfieJCarter Claude

Set up Claude Opus 4.6 for GTM work. Create client deliverables in minutes. Analyse campaign data automatically. Fast. Accurate. Reusable. I made a step-by-step playbook anyone can follow in minutes To get it, just: → Like + Repost → Comment "CLAUDE" → Follow me (so I can DM)

@WorkflowWhisper Opus

opus 4.6 just mass-produced what consultants sell for $103,500. 10 prompts. 65 minutes. instant n8n workflows. i tested every one with opus 4.6 + synta's MCP connected to my instance. no debugging. no node dragging. no JSON. describe it. deployed. running. here's what each prompt builds: 1. lead enrichment + scoring pipeline - 4 min 2. competitor price monitoring with AI analysis - 8 min 3. full client onboarding (form to invoice) - 11 min 4. voice AI receptionist with call routing - 9 min 5. content repurposing engine (1 blog to 6 platforms) - 6 min 6. invoice recovery + follow-up system - 5 min 7. daily CEO dashboard from 4 data sources - 7 min 8. cold outreach sequencer with personalization - 8 min 9. review response drafter + publisher - 3 min 10. meeting no-show rescuer with rebooking - 4 min every workflow self-healed on first run. opus 4.6 caught the errors, searched for fixes, applied them, re-tested. zero human intervention. i put everything in a free PDF: - 10 copy-paste prompts (word for word) - build times vs consultant pricing for each - opus 4.6 + synta MCP setup guide (5 min) - the 2-message framework i use for 100% completion comment "OPUS" and i'll send it. (following required for DM)