Alexey Semeney

@romanbuildsaas Connector

Connect Claude to LinkedIn in 1 click It can find leads, write messages, and run your outreach 👇 We created a 1-click connector with 300+ built-in skills now Claude actually manages your pipeline One URL, 30 seconds to set up then Claude becomes your outbound team Here’s what’s possible once it’s connected 1/ Find high-intent leads Claude scans the web for signals job changes, funding, hiring, engagement and surfaces people ready to buy 2/ Identify the best opportunities “show me leads who engaged with competitors in the last 7 days” 3/ Enrich leads instantly Claude pulls company data, role, context and builds a clean, qualified list 4/ Write hyper-personalized messages each message is based on real signals not generic templates 5/ Handle conversations Claude replies, qualifies prospects and pushes them toward a call 6/ Launch campaigns at scale run LinkedIn outreach across accounts with timing optimized for replies 7/ Improve performance over time Claude learns what works and continuously boosts reply rates Connect “Connector” and I’ll send the setup guide

@pierreeliottlal well done, congrats! Any insights on doing it he right way?

Our Affiliate program is taking off ! Really grateful for our 829 affiliates !

Interesting on deepseek, kimi VS Claude and opeai youtube.com/watch?v=9baDOf…

@alex_whedon congrats to the team, a new player is here

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

@jawwwn_ @Benioff @tbpn Long live salesfoce

Salesforce CEO Marc @Benioff: “I’m not hiring any more engineers in fiscal year 2026.” “But I did hire almost 20% more sales people this year.” Via @tbpn

@romanbuildsaas lol, AI got training on the global population collapse data set - well, kind of true, someone gotta make babies

POV: you let your media buyer run ads without ever checking them ☠️ (I shut everything down, obviously.)

@pierreeliottlal @romanbuildsaas thanks

@AlexeySemeney @romanbuildsaas Here you go : notion.so/Reddit-Strateg…

In less than a year, we generated 10M+ organic views on Reddit. No ads No budget Just distribution that compounds. That traffic alone brought over 100,000 people to our website. So we turned everything we learned into a Reddit Strategy Playbook that now drives : - 1M+ organic impressions every month - Consistent visibility inside AI answers like ChatGPT or Gemini - A steady flow of qualified demos Here’s what’s inside How we actually grow our SaaS with Reddit step by step - The 3+1 post formats that consistently go viral - How to drive traffic from 100+ subreddits without getting banned - Our Reddit SEO method to show up inside AI generated answers - The exact flows we use to turn views into demos - A bonus you won’t expect Want the full 1M views per month Reddit system 100 percent organic Repost Comment REDDIT I’ll send it to you

@borjafat SEO

Claude Opus 4.7 or GPT-5.5 can run your ENTIRE SEO Tired of chasing backlinks? Solved. Tired of AI slop articles? Solved. Tired of ranking for keywords that don't convert? Solved You just install a SKILL and you're ready to roll. Can run automated daily tasks on a schedule Comment "SEO" and I'll send it!

Very cool - Light AI Infrastructure 20x gain at 10% the cost of gpu youtu.be/DjTmzpmLPcs?si…

@naval ai generated too - bring the real talking faces

New podcast on vibe coding - A Return to Code. A Return to Coding 00:20 The Personal App Store 03:17 Vibe Coding Is a Video Game with Real-World Rewards 06:22 Pure Software Is Uninvestable 10:33 A Place for Each Model 14:22 AI Is Eager to Please 17:57 Why Math and Coding? 22:10 The Beginning of the End of Apple’s Dominance 24:17 Coding Agents As Customer Service Reps 27:55

@naval only relevant when hallucinations are gone

@AlfieJCarter GPT5

I put the entire ChatGPT 5.5 GTM and B2B Playbook into ONE Notion doc. 4 sections. No fluff. - GPT 5.5 for GTM work: what it is actually built for, how to set thinking effort to Extended for complex tasks, and the two use cases where it outperforms Claude Co-work - one brief into multiple HTML deliverables simultaneously and raw unorganised data into a clean filterable executive dashboard with a working month selector - ChatGPT Images 2.0 for LinkedIn, newsletters, and web: multi-format social assets from one upload with composition and fonts adapted per format, near-perfect text rendering on headlines and CTAs without manual Canva correction, and face retention for personal brand content across varied scenarios - Workspace Agents for GTM workflows running 24/7: lead outreach agent that researches, scores, drafts, and updates CRM while your team reviews and sends, and weekly metrics reporter that pulls company data every Friday and writes the full narrative automatically - The four GTM workflows to build first and what makes Workspace Agents different from Custom GPTs: action across tools, 24/7 cloud execution, Slack integration, persistent team memory, human approval gates, and the five tips most teams ignore when setting agents up This is the playbook I would have KILLED for before generating everything as HTML when clients needed PowerPoint, manually pulling weekly metrics that should have been running on a schedule, and producing one social asset at a time when Images 2.0 generates eight in a single output. Like + comment "GPT5" and I'll send it over (must be connected for priority access)

7. The biggest issue of modern AI - hallucinations (hence it lies back to you, even with context). So, still need heavy guardrails, custom architecture, etc. The positive - when applied right, even the current state of AI enables 10x traditional businesses' outputs Check some case studies here - labs.devteam.space/openclaw/

6. alternatively, a new AI solution (not LLM) is developed/released as a product, and we hit singularity. Well, not likely, at least based on the past history of events and how things evolve

AI future within 1-2 years - based on what we use/build - from the usage perspective