AI Simple

@paolo_scales B2b..

we've scaled COUNTLESS B2B SaaS from 0 past $50k/mo but we NEVER used: - cold outreach - paid ads - SEO these methods BARELY work anymore for software companies we always leverage linkedin inbound funnels and i'm about to leak our ENTIRE system: 1. why traditional B2B SaaS GTM strategies are a deteriorating asset (and linkedin inbound is a compounding one) 2. the profile conversion layer that turns visitors into leads at optimized conversion rates (bio, banner, and about combo) 3. the content engine built around awareness stages not buckets (45% problem unaware, 35% pain aware, 25% solution aware) 4. the lead magnet machine that generates 500-5,000 comments per post (hook formula, perceived value stack, notion resource structure) 5. the data advantage that nobody in this space talks about publicly all inside a step-by-step video masterclass available for free during 24 hours only... like + comment "B2B" and i'll send you everything (must be following + RT for priority access)

@fazla_md85102 Need

🚨 Claude can now build your entire mobile app, like an Apple-level $350K dev, in minutes and FOR FREE. What used to require a full team and weeks of work can now be done with just a few well-thought. Want the full guide??👇 Comment "Need" . I'll send you Everything

@Mike_Scully_ Ai

This AI Agent LITERALLY replaces your entire outreach system…. – Verifies every email – Scrapes their website & LinkedIn – Writes a personalized first line – Auto-sends the email – Books me calls on autopilot It’s like having a full-time SDR who doesn’t sleep or complain. Like + Comment “AI” & I’ll send over the full system (must be following so I can DM)

@Jonnyvandel Setup

i make $98.50 per 1,000 impressions on X. that's my confession. but my bigger secret; all of my accounts... are managed by operator. operator's process: > scrapes winning tweets in the last 30 days > builds workflows to write similar tweets > ai render nodes to make 16:9 renders of my ui > autoposts directly to my accounts once/day > creates an auto-dm lead magnet for keywords > sends out dms to everyone who comments > follows up the conversions with ai inbox agents this is not something i thought i should share yet but f*ck it. like, rt + comment “SETUP” and i'll dm you the setup (must be following for dm)

@study0718 @official_taches Have you been able to try it out yet?

Just saw @official_taches drop the new solana:8116V1BW9zaXUM6pVhWVaAduKrLcEBi3RGXedKTrBAGS Cloud persistent planning mode Now your agent remembers the big picture across chats, keeps temporary plan only context, lets you edit the full plan in the sidebar, and even adds human approval gates No more losing the plot halfway through a complex task This is massive for serious AI agent workflows. Can’t wait to test it solana:8116V1BW9zaXUM6pVhWVaAduKrLcEBi3RGXedKTrBAGS @gsd_foundation

How do we get access to gsd-cloud? Been killing it with GSD and even built an extension on top of gsd-sdk that’s running 500+ skills automatically.. Saw that the cloud was out - but I can’t signup/login for some reason.. Thanks!

@official_taches dude this makes such a massive difference! coded has been saving my ass in a lot of ways lately.. @official_taches wondering if I could pay for 15-30 mins of ur time?

@viewcreatorai Interested in a potential collab and discussing some options for future partnerships, owner at aisimple.co.. interested in checking out the "viewcreator" platform. Do you offer any kind of trial or anything?

2 million views. 80,000+ followers. Five platforms. Zero manual posts. BridgeMind scaled its entire content operation with AI agents through @viewcreatorai. No content team. No social media manager. No manual posting. TikTok. Instagram. Facebook. X. YouTube. All running autonomously. This is the case study on how we did it. viewcreator.ai/blog

@LoganTGott funnel

Everyone is using Claude right now. Very few founders are using it to drive real pipeline from LinkedIn. So I built a free resource with the exact Claude prompts I use to build full LinkedIn funnels… the same system behind the multiple clients we’ve generated over 6-figs for. Most people are using AI to write posts. Almost nobody is using it to build the actual infrastructure that turns LinkedIn into a lead machine. I’m sure I could sell these prompts in the future but for now they’re yours: Comment "Funnel" and I'll send it over. (You need to be following so I can DM it to you.)

Real talk — I need your help with something. 🙏 I'm building something new and I want to make sure it actually solves the RIGHT problem. If you're a business owner or entrepreneur who's been trying to implement AI and Automation in your business... What is your #1 frustration when it comes to using AI in your business? Not the polished answer. The real one. The thing that makes you want to throw your laptop.. Drop it in the comments. One sentence is fine. A paragraph is fine too. I'm reading every single one.

@alexgroberman LinkedIn Growth Guide

I created my LinkedIn account ~64 weeks ago. Since then I’ve added $335,000+ in direct revenue from LinkedIn and 14,300 followers. Easiest algo to crack by a country mile. And the single *best* social media for signing enterprise clients. Here is the exact framework I’m using right now... Oh, and if you want my full unfiltered cheat sheet with engagement group templates, carousel structures, DM workflows, and my posting system, follow me, repost this, and reply “LinkedIn Growth Guide.” You must do all 3 to receive the DM. Let me start with what remains true after 64 weeks of daily testing: Proof-based content continues to outperform everything else. By proof-based, I mean posts that literally show a real metric, revenue, traffic, pipeline, booked calls, etc. and then add tight context with a clear business takeaway. Use real numbers whenever possible. Dwell time still plays a major role too. If people read the entire post, swipe through multiple carousel slides, or pause on video, the post continues circulating longer. First-hour replies from people outside your immediate network are still one of the strongest distribution signals you can influence. On-platform formats beat outbound links in almost every case. Text posts, carousels and native short video outperform link posts on average. Link posts without setup consistently stall. That said, a lower-reach link post with strong intent can still outperform in revenue. Distribution and conversion are different games. If you include a link, deliver value first and either modify the preview image or drop the link in the comments. Topic consistency builds on itself over time. Posting repeatedly around the same core theme strengthens how LinkedIn categorizes your profile. Your content then gets shown to people already engaging with that topic. That improves early engagement quality and comment depth. Cross-niche engagement still expands reach. Engaging consistently in two to three adjacent industries pushes your profile into overlapping networks. Generic likes do almost nothing. Thoughtful comments that add insight create second-level engagement and extend reach. Reposting with a new hook still works extremely well. Most of your followers never saw the original post. Repost after one to three weeks with a sharper angle, updated numbers, or a clearer outcome. Posts with replies to replies stay alive longer. Multi-layer comment threads can extend post lifespan by days compared to shallow discussions. My posting schedule has not changed. I post three times per day, every day. Morning is proof-driven or a strong point of view. Afternoon is a carousel, teardown, or case study. Evening is a lesson, system breakdown, or actionable walkthrough. Skipping even one day reduces momentum for the next 24 hours. Formats performing best right now: Carousels with a bold first slide tied to a specific outcome or pain point. Three to six concise slides with steps, visuals, or proof. A final slide with a clear next step. Short native videos under 60 seconds with subtitles. The hook must land in the first two to four seconds. Walkthrough and behind-the-scenes videos continue outperforming polished talking-head content when the information is concrete and tactical. What is underperforming: Link posts with no setup. Metrics with no narrative. Large, dense text blocks. Generic advice that applies to everyone. Posts where the author disappears after publishing and does not reply in the first hour. My engagement strategy: Comment on 20 to 30 posts per day with insight tied directly to the post. Like 50 or more posts per day. Reply to every comment on your own posts within the first hour. DM five to ten people per day with context-first value tied to something they posted. Ask follow-up questions inside comment threads to deepen discussion. Repeated engagement from the same people increases future distribution. Hooks performing best right now: “I started this account 64 weeks ago. Here is what $335,000 in LinkedIn revenue actually looks like.” “This 4-slide carousel booked 5 calls in 24 hours.” “If I had to rebuild my LinkedIn from zero today, this is the exact system I would use.” “My 3-post-per-day routine for consistent inbound.” “I made X this month from LinkedIn. Here is the breakdown.” Every hook must be backed by proof. Without proof, credibility drops fast. Here is a 30-day plan that still works: Post three times per day with at least one proof-based post. Comment on 20 to 30 posts daily with substance. Like 50 or more posts per day. Reply to every comment within the first hour. Repost one winner each week with a new angle. DM five to ten people per day with context-first value. Track impressions, comment depth, leads, and repeating commenters weekly. Test hooks, formats, and timing every week. Run this system for 30 days. Screenshot your Day 31 results. Tag me when inbound starts. If you want the full cheat sheet, follow me, repost this, and reply “LinkedIn Growth Guide.” You must do all 3 to receive the DM.

Trying to sell dental practices on 'SOPs and sellability.' Not working. Here's what worked instead. A coach was struggling to sell a dental program. His offer: 'Make your practice sellable. Documented SOPs. Due diligence data room. 3 years to exit.' It was true. It was necessary. It was unsellable. Why? He was selling a need. Burnt-out dentists don't want to think about exiting in 3 years. They want to breathe now. We pivoted: 'Grow Your Practice. More patients. Less work.' Same program. Different hook. Immediately: conversations changed. Questions shifted from 'Why would I need this?' to 'When do we start?' Here's the framework: Don't lead with what they need. Lead with what they want. Then give them what they need to get there. Sell the want. Deliver the need. Most consultants do it backwards. They sell the unsexy truth. Expect enthusiasm. Get crickets. Lead with the dream. The framework comes second.

@dan__rosenthal repo

I just found an open-source Claude Code plugin that changed how I build. It runs 29 agents simultaneously inside a single chat.... And instills a 5-step methodology that makes every project faster than the last: 1. Brainstorm: research agents scan your repo and propose 2-3 approaches before a line is written 2. Plan: parallel agents map tasks, dependencies, and acceptance criteria into a spec 3. Work: swarm mode assigns independent tasks to independent agents, running system-wide tests after every change 4. Review: multiple agents triage findings as P1/P2/P3 before anything ships 5. Compound: 5 agents extract root cause, fix, and prevention from every solved problem… and save it to a searchable knowledge base inside your repo That last step is the whole game. Each build makes the next one 10x easier & more efficient than the last. I'm not an engineer…. But this workflow has dramatically improved the quality of what I ship. Want the GitHub link? - Comment "repo" - Follow me so I can DM you And I'll send it over. PS RT this and I'll prioritize your DM

tried this exact prompt — then found a tool that does it properly claude-conversation-extractor exports everything from ~/.claude/projects to clean markdown, load into a claude project, and you get a real audit way more useful than scraping from inside a session github.com/ZeroSumQuant/c…

@gregisenberg this is smart but there's an even better way claude code stores everything locally in ~/.claude/projects as JSONL — no export button claude-conversation-extractor pulls it all out to clean markdown, then load it into a claude project and ask it the same things he mentioned

This is smart. You can also try /insights

@codyschneider The real win isn't just API knowledge—it's bounded access. We've built multi-agent systems where MCPs create hard isolation layers. Each agent owns its tool set. Prevents context pollution and makes workflows debuggable. Scales better than monolithic agent design.

let me get this straight so what you're telling me is an MCP is an API wrapper with the API docs saved locally so the AI model knows how to use the API without searching on google via exa AI for the API docs got it

@LoganTGott claude

Claude DESTROYS ChatGPT for leads gen on LinkedIn. I put together the Claude LinkedIn Prompt Vault (below) Claude is by FAR the best at building funnels and copy. I use my info combined with my prompts to build out entire lead magnet funnels, write posts, optimize my profile and more. My prompts are INSANE and replace entire content teams. I compiled ALL my Claude prompts into one vault: • Custom Notion System Prompt • The Premium LinkedIn Profile Prompt • Reddit ICP Problem Research Prompt • The LinkedIn Content System Prompt • Sales Calls Into Problem Aware Content Prompt • Long Form → Short Form Repurposing Prompt • Carousel / Infographic Creation Prompt • LinkedIn Outbound Acquisition System Prompt • Lead Magnet Post Generator Prompt • Lead Magnet Funnel Build Out Prompt Want access to this vault? → Comment "Claude" → Follow me and I'll DM the vault!

I deployed an AI agent for a client in 7 days. Industry standard: 6 months. The difference isn't speed. It's psychology. A founder called. Said his team was building an AI solution. Timeline: 6 months. Budget: undetermined. I asked: "What if I deploy one in 7 days?" 7 days later: agent live, handling lead generation, content, and integrations. He asked: "How did you...?" Here's the difference: Slow path (6 months): Design perfect system, anticipate every use case, overengineer, test exhaustively. Fast path (7 days): Deploy minimum viable agent, see what breaks, fix it, iterate. The slow path feels safer. It isn't. By month 3, requirements have changed. By month 5, you've built for a problem that no longer exists. The fast path feels risky. It isn't. Deployed > perfect. One client gets results. Proves ROI. Iterates with real feedback. Other client is still in planning meetings. Speed is a competitive advantage now. Not because fast = better. Because fast = data. You learn what works by shipping. Not by planning.

I watched an agency spend 3 weeks on ONE project because it was stuck in one place: Idea → Revenue. The flow: Idea lands → design landing page → write email sequence → create graphics → shoot video → analyze data → pivot or scale. All that takes 21 days if one person does it. Here's what changed: AI handles steps 2-5 simultaneously. Landing page (24 hours). Email sequence (parallel, 4 hours). Graphics (batch, 2 hours). Video script + shooting plan (3 hours). Human handles what AI can't: strategy, client feedback, final approval, data interpretation. Result: Same project, 7 days instead of 21. The bottleneck wasn't the work. It was the sequence. The fix wasn't hiring. It was parallelize. Most agencies are still doing this sequentially. One person = one step at a time. If you can hand off steps 2-5 to AI runners, your throughput is suddenly 3x.