Sidney Swift

I started as an intern grabbing coffee for Lil Wayne. Ten years later, I was producing for Beyoncé, Nicki Minaj, and Jason Derulo. Platinum records. Long nights. But not sustainable with a family. So I moved from the studio into the business side - major labels. A&R. Marketing. Management. Publishing. Learned the machine. That led to a $350K deal with Atlantic. The first artist we launched? A virtual influencer. Instead of studio time, I hired developers. We built DSP games, did motion-capture concerts, I even got a U.S. patent for inventing playback tech. 50M streams and a Grammy nomination later, the royalty statement still said unrecouped. (wtf) Atlantic dropped the project. It stung. So we went direct-to-fans with hyper-targeted campaigns and community. Made $2.5M in four months. Lesson: build your brand, find your niche, activate your audience. I used the same playbook for other artists and labels. Custom digital experiences, direct-to-fan campaigns. But soon we were an agency, and it was exhausting. 10+ releases a week. No time for artist development. Managers and marketers scrambling for virality. Execs texting me at 2 a.m. for rollout updates. Burnout. So I built an AI agent that gave campaign updates. Suddenly, no one was texting me. Everyone was asking the AI. That was the “ah-ha” moment that became Recoupable.com. Today my mission is simple: Turn AI into Artist Intelligence. Give 50 million musicians the power of a major label in their pocket. I believe that within 10 years, artists will be able to say to a computer: “Here’s my song. Go make me 30% ROI and ping me when complete.” Sounds crazy, but it’s possible. Here’s what’s in the way right now: • Your data isn’t set up for AI agents to use. • Your processes block fast testing and iteration. • Your teams are too overloaded to upskill. That’s where Recoupable comes in. To help you win. Every day I’m building the new music industry in public. Sharing our research, frameworks, and case studies here (+ working with a few select companies in our Beta). The industry is at a crossroads. Most are scared of AI. But I think it’s going to be awesome. You'll get more time to do what you love. While AI is handles the rest. If you know how to use it. Follow me if you want to learn about the future of the music business and how to turn AI into Artist Intelligence. Start here → Recoupable.com

@paolo_scales 36

i scaled a “boring” B2B service to $36,825/mo we didn't: - run paid ads - rebrand the offer - pretend the niche was exciting we just made the pain visceral and built a system that turned linkedin content into compounding MRR and i documented EVERYTHING into a 16 section breakdown covering every content format, lead magnet structure, DM sequence, email system, and offer architecture we used to make a boring niche print here's what's ACTUALLY inside: → the full funnel architecture from post to profile to three conversion paths (custom button, featured section, DMs) → the content positioning framework that makes boring niches irresistible (write about the pain, not the niche) → the lead magnet formula that generated 4,000 comments in a niche nobody thought could go viral (social proof anchor + pain mirror + aspirational resource) → the notion document structure (8 pages, diagnosis first, templates included, 3 CTAs embedded) → the DM system that turned 4,000 comments into paying clients (5-step sequence from resource delivery to soft close) → the $100 workshop front-end that filtered buyers from freeloaders (and converted 35-40% into core recurring service clients) → the email machine running underneath everything (3 emails/week, segmentation by behavior, 40% of total MRR came from email alone) → the authority content layer (misconception-demolishing posts, founder narratives, case studies with surprising angles) → the profile rebuild that converted 8-12% of visitors (headline, about, featured, custom button) → the month-by-month growth trajectory ($15k → $26.8k → $36.8k and the specific levers at each stage) → the hidden benefits that compounded after 90 days (podcast invitations, google credibility for cold outreach, inbound partnerships) everything backed by what we learned after adding $950k+ to our B2B clients' MRR through linkedin inbound funnels like + comment "36" and i'll send the full breakdown (must be following + RT for priority access)

The narrative and the data are telling different stories.

Live Nation's actual numbers: less than 1% of shows cancelled. Concert ticket sales up 11% for the year.

"Blue dot fever" has been all over music trade press this week. Tours cancelled, poor ticket sales, industry in crisis.

Tough day for folks (DM me if I can help!) but if I found myself suddenly laid off from a company that cited AI as a cause, this is what I’d do: - download codex and Claude/code - say: “this was my job and how I spent my day, how can you help me automate it w skills” - push a dozen of those skills to GitHub - open up Claude design and make a portfolio site, with an “agent” per skill explaining how you built it, what tools it interacts with, etc.” give to lovable or v0 or whatever to publish - post that site and link to GitHub on LinkedIn - search “ai for ” and try all the new startups, form an opinion, message their founders - try something scary like openclaw, form an opinion - take a course in tactical AI in your field - build, share, build The gap in AI adoption is getting bigger. Start reskilling now while it’s early. The time is now.

@paolo_scales How are you not gonna show any visuals in the article about visuals

@AlfieJCarter Skill

I just built a Claude Code skill that writes, schedules, and publishes your LinkedIn posts every week while you sleep. Feed it your profile, your hooks, and a topic or script → it studies your voice and your best-performing formats → generates three post drafts matched to the right photo and scheduled to LinkedIn automatically. All inside Claude Code. Perfect for GTM engineers and founders who are still writing posts from scratch every week, spending an hour editing AI drafts that sound nothing like them, and manually uploading content to LinkedIn one post at a time. If you're posting on LinkedIn in 2026, you already know the math - the accounts that build pipeline aren't the ones with the cleverest copy, they're the ones posting consistently in a voice that sounds genuinely human. Most people ship two posts a week if they're lucky. This skill solves it: → Drop your profile.md with personal stories, professional context, and voice rules into the skill so Claude writes like you from session one → The skill reads your hooks.md file of proven formats and no-go openers so Claude never produces the lines saturating your space → Pulls from your approved drafts, YouTube scripts, or plain language topic descriptions to generate three options per post → Matches each post to the right photo by reading filenames so every visual fits the post's feeling without manual selection → Fires directly to LinkedIn via Playwright MCP - pastes, uploads, resizes, and schedules to your preferred time automatically → Drops a full week of scheduled posts into LinkedIn from one Sunday morning session No briefing a ghostwriter. No editing AI slop for an hour. No manually uploading posts one at a time. What you get: - profile.md setup guide so Claude learns your voice, stories, and professional context permanently - hooks.md file structure with proven formats and a no-go list built for your specific space - Full skill file that generates, reviews, and approves three drafts per topic in seconds - Playwright MCP setup so Claude publishes and schedules directly to LinkedIn without you touching the platform - One skill you install once and run every week forever Built 100% in Claude Code. I put together a full playbook with the skill file, the profile.md template, the hooks.md structure, and the exact Playwright MCP setup to get this publishing on a schedule. Want it for free? > Like this post > Comment "SKILL" And I'll send it over (must be following so I can DM)

I just discovered the missing link in agents

@GeoffreyHuntley Verify all assumptions, then, verify that you verified all assumptions.

this is my favourite prompt of all time: “how could this be better?” reply with yours and why it rocks!

@kepano Did not work

Defuddle now returns Youtube transcripts! Paste a YouTube link into defuddle.md to get a markdown transcript with timestamps, chapters, and pretty good diarization! ...or if you just want to read it, try the new Reader mode in Obsidian Web Clipper powered by Defuddle.

@mikesonders @danshipper @every Ditto

@danshipper @every The skill references these markdown docs. Do you have examples of these?

i made a growth investigator skill in Codex that looks through all of your PostHog / prod database data and then finds the top bottlenecks and insights in your product it works extremely well:

Every day we’re ascending or descending. Every meal choice, every workout or lack thereof, the quality of the feedback we give, the openness to the feedback of others. How we show up for our families and friends. The love we put out.

@azaztrader01 Evals

@sidneyswift This is fascinating. How are you testing for reliability when the agent acts on this data?

Introducing Recoupable Skills Portable instructions + scripts + resources that any compatible AI agent can load to do specific work reliably. Our first Recoupable Skill wires agents into Chartmetric’s analytics. What you can do with it •Find artists worth watching (by genre, geo, momentum) •Track performance across streaming + social in one view •See playlist placements over time, with curator context •Understand where the audience is growing and shifting •Pull comparable artists and competitive benchmarks Basically: if you can do it in Chartmetric, your AI agent can now do it too through this skill, and then go further by turning the data into analysis, monitoring, and next-step recommendations. If you’re using Recoupable agents, it’s included by default. If you’re running your own agent setup (Claude Code, Codex, Cursor), install it with: npx skills add recoupable/chartmetric The next generation of music teams won’t run on dashboards and interns. They’ll run on agents with skills. We’re building the world where the team wakes up to answers. Where momentum is caught early. Where great taste moves faster because the grunt work is gone. We’re open-sourcing tools and playbooks we use so any artist or team can install them and get the same capabilities. More skills coming.

@TheMattBerman @openclaw @vishalojha_me @Meta ADS

I run my meta ads with @openclaw for $0/month 😱 here's the system that runs autonomously: step 1: daily health check → social-cli (major shoutout to @vishalojha_me) wraps @Meta's marketing API (token refresh, pagination, rate limits all handled) → am I on track? what's running? who's winning? who's bleeding? any fatigue? → the same 5 questions I asked Ads Manager every morning for 20 years step 2: catch dying ads before CPA spikes → @OpenClaw pulls daily frequency by ad → frequency > 3.5 = audience is cooked, CTR is about to drop → this one signal saves more money than any dashboard step 3: auto-pause bleeders + shift budget to winners → CPA > 2.5x target for 48hrs? auto-pause. no hesitation. → ranks every campaign by efficiency. recommends shifting spend. → last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30% step 4: write new ad copy from your winners → agent analyzes what's working (hooks, angles, CTAs) → generates variations based on the patterns in YOUR top performers → copy modeled on what already converts in your account. step 5: upload ads directly to your account → new creative + copy → live in @Meta Ads Manager → no more downloading, formatting, clicking through the upload flow → agent handles the entire publish cycle step 6: content concepts + morning brief → spots patterns across winners and suggests what to test next → delivers everything to Telegram, Slack, wherever you want it → 90 seconds to read. reply "approved." done. input: your ad account + your target CPA output: an AI that monitors, kills, scales, writes, AND uploads your ads dozens of hours in ad manager → 1 text message I packaged the entire system as the Meta Ads Kit. 5 @OpenClaw skills: - meta-ads (daily checks + auto-pause) - ad-creative-monitor (fatigue detection) - budget-optimizer (efficiency scoring + shift recs) - ad-copy-generator (writes variations from your winners) - ad-upload (publishes creative directly to your account) giving it away free. comment ADS + like + follow (must follow so i can DM)

@jessegenet @openclaw Best openclaw content

AI use in education doesn’t mean screens by default! @openclaw and AI can help us give our children bespoke hands on educations 📚 Here I break down how I use @openclaw to help me give our little kids high quality Montessori lessons 🤓

@steipete @OpenAI @openclaw damn anthropic dropped the ball

I'm joining @OpenAI to bring agents to everyone. @OpenClaw is becoming a foundation: open, independent, and just getting started.🦞 steipete.me/posts/2026/ope…

@WillManidis Bros. More shipping = faster iteration = better product for customer, AI or not, that’s the formula. So yes, if AI can write code and enable faster iteration, and improved product experience - it inherently is adding value

@WillManidis ai users > all of my code is now written by ai and because of that we’re able to ship 10x the pr’s per day. will > but ai doesn’t produce anything worth value