Introducing Claude for influencer marketing.
@klint_ai watches millions of social media videos and hands clean, structured data back to your agent. Query in natural language for:
• influencers in your niche
• trending hooks
• competitors' top-performing content
• and much more…
Stop running your social marketing with VAs and outdated databases.
Comment "Klint" below and I'll DM you early access.
I built an API that watches millions of Instagram videos so your AI agent doesn't have to.
It's called Klint. Half a million creator accounts tracked, 1 million posts transcribed and classified, thousands of new ones every day.
(Content strategists spend hours a day scrolling TikTok and Instagram to find what's working. Klint does it in one API call.)
Here's how it works under the hood:
→ New posts get captured in real time
→ Klint transcribes the speech, reads the on-screen text, and describes the visuals
→ Each post gets labeled by hook type, format, and topic and benchmarked against that account's baseline
→ Your agent queries all of it in plain English
→ One command adds the MCP server to Claude Code, Cursor, or Codex
So your agent can answer things like:
→ "find every creator Higgsfield partnered with for their last product launch"
→ "what hooks are outperforming in AI education this week?"
→ "transcribe my competitor's last 30 Reels and break down their strategy"
The result: what used to take a content strategist hours of scrolling is now one API call (see the demo below).
No VAs. No stale creator databases. No guessing why a post worked.
If you want early access:
Like this post
Follow me (so I can DM you)
Comment "KLINT"
Give your agent eyes on social data.
Today I'm launching Klint — the social context API.
It watches millions of TikTok/IG videos and hands clean, structured data back to your agent.
Here's what it does under the hood:
→ Transcribes thousands of social videos in real time
→ Watches the actual footage frame by frame, not just the captions
→ Labels every hook, format, and pattern that's working right now
→ Benchmarks every metric so your agent knows what actually beat the account's baseline
→ Answers plain-English queries and returns structured data, not a dashboard
So instead of a strategist scrolling Instagram for hours, it's one API call:
- "find me every creator Higgsfield partnered with for their last product launch"
- "what hooks are outperforming in AI Education this week?"
- "find skincare creators under 100k who talk about retinol on camera, not just in their bio"
Stop running your social marketing with VAs and outdated databases.
Works with Claude Code, Cursor, or any agent. One command via MCP or CLI.
Comment "CONTEXT" and I'll get you early access (must be following so I can dm you)
I built a "Video Factory" that turns a single phone selfie video into a fully edited short-form video automatically.
I drop in raw A-roll. I get back a polished video ready for TikTok, Reels, and Shorts (see example below).
The editor is Claude, powered by a harness of custom skills I built on top of open source video editing skill packages (video-use & hyperframes).
Here's how it works:
→ I record a talking head on my phone and drop the raw file in
→ Claude edits it like a real video editor: cuts, animations, pacing, structure
→ It layers in B-roll from dozens of CoinLedger product clips
→ It generates new B-roll with image models when it needs something that doesn't exist
→ A research harness pulls in viral news angles to ride
→ Everything runs on a video-use skill plus the open-source HyperFrames skills
The result: one raw clip in, one high-quality short out. One-shotted. (See the before/after below.)
I spent hundreds of hours testing and building with the generation models i.e. Veo, Sora, and Kling.
Building robust editing agents like Video Factory turned out to be 10x more useful for the actual marketing work.
"Video Factory" is going to allow me to scale to hundreds of thousands of qualified impressions per month for my businesses and products.
No edit bay. No editor. No 12-hour timeline.
Just sit down, record a talking head, dump to Claude, get final output 15 mins later. Repeat.
I'll be doing a full breakdown of Video Factory and the skills powering it in a future tweet storm and YouTube video.
If I had to start one AI side hustle in 2026, this would be it.
A local newsletter that pulls $2K+/month run entirely by a team of 4 AI agents. The founder (Lucas Walter) has never written a single edition.
This is a copy/paste-able system that could by applied to any city in the world.
Here's the agent setup👇
→ A Growth Engineer agent scrapes every local news site, subreddit, and event calendar at 6am daily. It also manages all the Facebook ads for the subscriber growth
→ A Content Director reads the database and writes the weekly newsletter in his voice every week
→ A Sales Director handles every inbound advertiser — email back-and-forth, package pitching, AI-generated ad creative
→ A CEO agent orchestrates all three and reports back to him
Results from Lucas's newsletter, 'Spokane Pulse':
- 7,400 subscribers
- 47.5% open rate (industry avg 20–30%)
- ~11% click-through rate
- $2K/month in ad revenue and growing
- Under 4 hours/week of human-in-the-loop
Now imagine running this same system for YOUR city.
I linked to Spokane Pulse in the comments so you can check it out for yourself.
Like & Comment "Newsletter" and I'll send you the full course that gives you the playbook + the exact agent setup as a one-click import.
(must be following so I can DM)
I know a guy running a $2K/month local newsletter business with 4 AI Agents.
It's called 'Spokane Pulse" and has 7,400 subscribers, 47.5% open rate, ~11% CTR.
Here's how the agents work:
→ A Growth Engineer agent scrapes every local news site, subreddit, and event calendar at 6am daily. It also manages all the Facebook ads for the subscriber growth
→ A Content Director reads the database and writes the weekly newsletter in his voice
→ A Sales Director handles every inbound advertiser — email back-and-forth, package pitching, AI-generated ad creative
→ A CEO agent orchestrates all three and reports back to him
The result: a real local media business that runs like a company instead of a stack of cron jobs.
This business is live and real (you can check it out yourself (link in comments)
If you want the full course giving away the exact blueprint, do this:
Like this post + Comment "NEWSLETTER" (must be following so I can dm)
I'll send you the complete course and the city-by-city playbook — see video below.
I built a zero-person newsletter business that makes over $2k/month (and I have the receipts to prove it).
It’s run by 4 AI agents. No humans on payroll.
The numbers: 6,000+ subscribers, $2,000+ in ad revenue last month, less than 4 hours of my time per week.
Here's how the org chart works:
→ A CEO agent monitors company metrics, hires AI Agents, and delegates work
→ A growth engineer builds scrapers, wires its own daily routine, and ships features
→ A content director drafts every newsletter edition from real local event data
→ A sales director sells ad inventory on autopilot
→ Each agent runs on Paperclip AI with its own skills, memory, and scheduled routines
This is how you build a media business without needing to hire.
Today, this playbook crushes.
A month from now, every operator on AI Twitter will be running one.
These windows of opportunity are only open for so long...
Follow + Comment "AGENTS" and I'll DM you the full setup video that you can use to build your own
(must be following so I can dm you).
I built a Reddit marketing agent that gets your business mentioned by ChatGPT, Gemini and Claude.
Not a spam bot. Not the kind that gets banned by mods. An agent that drafts genuinely valuable answers grounded in your company's actual content and slips in a brand mention only when it actually helps.
Google is paying Reddit $60M a year just for their data!!!
If your business isn't showing up in that data, your competitors are, and ChatGPT is recommending them instead of you.
Here's how the system works:
→ A Claude routine pulls the target subreddit's JSON endpoint every hour for new posts
→ A Phase 1 checklist filters every post — is it answerable from our wiki, factual, on-brand, mod-safe?
→ The answer engine queries an LLM Wiki built from our blog, guides, and help center (Firecrawl ingested every page into a raw → wiki → index structure)
→ Claude drafts a casual, value-first answer that grounds every claim in our content
→ Every draft lands in Slack for human-in-the-loop review before it posts — no fire-and-forget, no bans
I built this in a week for CoinLedger, the crypto tax software I've been running for 8 years.
10% of our new signups already say they found us through ChatGPT.
This system is how we push that number a lot higher.
If you want the exact Claude skill I built:
Like & Comment "AGENT" (must be following so I can dm you)
I'll send it over for free.