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I sat down with matt van horn (Matt Van Horn) and watched him turn claude code into a real-time research engine with his /last30days claude code skill he "fixes" claude code in 30 seconds. this skill pulls what’s actually working right now from x, reddit, and the web, then...

177,179 görüntüleme • 7 ay önce •via X (Twitter)

39 Yorum

Matt Van Horn profil fotoğrafı
Matt Van Horn7 ay önce

Thanks for having me. Super fun jamming on examples and ideas. @slashlast30days and install here

GREG ISENBERG profil fotoğrafı
GREG ISENBERG7 ay önce

@slashlast30days 🙏

Ash profil fotoğrafı
Ash7 ay önce

@mvanhorn can you make this a paid skill @mvanhorn so instead of me having to pay for X API and set my API keys I just run 'npx skills add --skill last30days' and then everytime I call /last30days I just pay $0.01 via x402? Happy to help you set it up

Alec McCullough profil fotoğrafı
Alec McCullough7 ay önce

@mvanhorn The real unlock is making the workflow deterministic: extract → score → cite → ship. Otherwise it’s just vibes. Curious how he handles dedupe + rate limits across sources?

Adam Ryan 🤝 profil fotoğrafı
Adam Ryan 🤝7 ay önce

@mvanhorn @mvanhorn is forever the goat due to June. Still makes me the perfect bacon slices.

Dumisani Mananga profil fotoğrafı
Dumisani Mananga7 ay önce

@mvanhorn Bro, you are always dropping bangers after bangers

GREG ISENBERG profil fotoğrafı
GREG ISENBERG7 ay önce

@mvanhorn Appreciate you Full ep over here

Dumisani Mananga profil fotoğrafı
Dumisani Mananga7 ay önce

@mvanhorn Thanks, off to youtube then

Pravin profil fotoğrafı
Pravin7 ay önce

@mvanhorn Most people are still playing with prompts. This is building with real time leverage.

ejae dev profil fotoğrafı
ejae dev7 ay önce

skills that inject live context are the unlock most people are sleeping on. the base model knows everything up to its training cutoff, but the gap between training data and right now is where all the alpha lives. this pattern of feed the agent what's working today instead of what worked last year is going to become standard.

NuScienta profil fotoğrafı
NuScienta7 ay önce

"Real-time research engine" is a search API wrapper with extra steps. Pulling trending content from X and Reddit isn't novel. It's scraping with AI summarization. The "stale advice" framing assumes trends from the last 30 days are more valuable than accumulated knowledge. Sometimes true. Often not. Building a competitor to Clawdbot live with "almost zero hand-written code" sounds impressive until you ask if it actually works in production. Demos always work. Maintenance is where things break. The skill itself—feeding recent context into prompts—is useful for certain tasks. Tracking what's buzzing right now. Catching shifts fast. But calling it alpha is overselling. It's automation anyone technical could build in an afternoon. Installing in 30 seconds just means importing someone else's config. Not building capability yourself. "Dream big" while using tools that lower the barrier to execution is good advice. Just don't confuse speed with substance. Most people will install this, use it once, realize it doesn't fundamentally change their workflow, and move on. The ones who get value are already doing research systematically. This just makes them faster. Everyone else gets a shiny new toy that doesn't solve the real problem: knowing what questions to ask in the first place.

Rick Jordan profil fotoğrafı
Rick Jordan7 ay önce

@mvanhorn Real-time feeds from the last 30 days turn Claude into a powerful hype detector, but for shipping durable indie products, the mainstream rush to zero-handwritten-code ignores that truly reliable architectures usually take longer than 30 days to prove themselves in production

baba200 profil fotoğrafı
baba2007 ay önce

@mvanhorn how do you filter out prompt injections from scraping this data?

Yudha profil fotoğrafı
Yudha7 ay önce

@mvanhorn gm Greg ow man things move so fast

Adriana Sobota profil fotoğrafı
Adriana Sobota7 ay önce

@mvanhorn developers who build custom skills for their tools get 10x more done. thats it

Ai Machete profil fotoğrafı
Ai Machete7 ay önce

@mvanhorn 😮‍💨🚀 thanks Greg & Matt!

Lakshman Dhasarathan profil fotoğrafı
Lakshman Dhasarathan7 ay önce

The real shift is context awareness. Claude pulling from X, Reddit, and live web means prompts can reference real-world signals (trending complaints, competitor moves, breaking news) instead of static docs. We're seeing this collapse research → ideation → build cycles from weeks to days.

Alex Lielacher profil fotoğrafı
Alex Lielacher7 ay önce

@mvanhorn So apparently there’s levels to this shit @_jklnz

Frost the Artist profil fotoğrafı
Frost the Artist7 ay önce

@mvanhorn Mind doing a stream showing a workflow vibe coding a web app monetized for mobile as well? I haven’t seen a real video on that through the whole process UI / UX -> backend

SATOSHIII profil fotoğrafı
SATOSHIII7 ay önce

@mvanhorn Billions are being wiped from software stocks as we speak… The development of these tools are quite literally leading to market disruption. What does the future hold??? Are we going to continue to be given access to these technologies? This is an arms race😭

Fresent LLC profil fotoğrafı
Fresent LLC7 ay önce

@mvanhorn That journey from music to cold email frameworks is inspiring! Cold emailing can unlock a world of possibilities. It's all about smart outreach and building connections. Any reason you are not using Mystrika, yet?

Abhay Chopra profil fotoğrafı
Abhay Chopra7 ay önce

@mvanhorn This is the kind of tool that actually turns research into action fast

Brian Barber profil fotoğrafı
Brian Barber7 ay önce

We built something similar for our auto parts business.. Claude Code scans our competitor pricing daily, tracks Amazon BSR rankings, and feeds real-time market data into our buying decisions. 30+ containers a year from Asia and knowing what's trending RIGHT NOW vs last quarter is the difference between a full warehouse and a profitable one. The skill ecosystem around Claude is going to be massive.

André Simões profil fotoğrafı
André Simões7 ay önce

@mvanhorn This is the missing piece most people skip. LLMs are only as good as the context you feed them. Fresh real-world data beats training data every time. Been building similar context pipelines and the quality gap is night and day. Claude Code skills are genuinely underrated.

Kevin Payne profil fotoğrafı
Kevin Payne7 ay önce

@mvanhorn Impressive to see such rapid innovation in real time research tools, agility in technology is crucial for staying relevant.

Gabriel Millien profil fotoğrafı
Gabriel Millien7 ay önce

@mvanhorn This demonstrates the power of AI skills as dynamic knowledge engines.

Matt Ferrante profil fotoğrafı
Matt Ferrante7 ay önce

@mvanhorn You see the new Claude code /insights command that gives you info on how you can use it better? So legit

Nick Fernandez profil fotoğrafı
Nick Fernandez7 ay önce

@mvanhorn Clawdbot is legitimately my second brain at this point. Wild seeing it on the podcast.

Simon Gabyshev profil fotoğrafı
Simon Gabyshev7 ay önce

@mvanhorn a real-time research engine pointed at clawdbot, what could possibly go wrong 😅 for real though, that's a killer skill. so much of the web is just stale advice.

Gregor profil fotoğrafı
Gregor7 ay önce

@mvanhorn How does a "fixed" language model like Claude Code compare to a custom-built solution for a specific use case, like the finance tracking app I'm building?

Aman kumar profil fotoğrafı
Aman kumar7 ay önce

@mvanhorn Old advice slowed me down. Live data changed decisions instantly.

chiraag aarya profil fotoğrafı
chiraag aarya7 ay önce

@mvanhorn real-time research fed directly into Claude Code this is actually genius

truth.phd profil fotoğrafı
truth.phd7 ay önce

@mvanhorn Matt didn’t just debug Claude; he gave it WiFi for reality. Now it learns from the internet faster than most people find their car keys.

cup671 profil fotoğrafı
cup6717 ay önce

@mvanhorn @mvanhorn great interview! I am new to this how did you find great skills like compound engineering and super powers? I ask because I tried and my results suck.

Youth profil fotoğrafı
Youth7 ay önce

@mvanhorn that sounds like a total game changer for anyone who uses claude code regularly, can't wait to check out the full episode on startup ideas pod

WildPinesAI profil fotoğrafı
WildPinesAI7 ay önce

@mvanhorn claude code skills that pull live community data are underrated. the best prompts come from what's working *right now* not what worked 6 months ago. love this pattern.

Gurung profil fotoğrafı
Gurung7 ay önce

@mvanhorn last30days is really good. was hesistant to setup an xai api key (been paying for so many that why lol).. im happy i did it!

Mike Khristo profil fotoğrafı
Mike Khristo7 ay önce

@mvanhorn thirty seconds to fix it feels mildly illegal in the best way

GREG ISENBERG profil fotoğrafı
GREG ISENBERG7 ay önce

@mvanhorn Full ep over here

Benzer Videolar

Anthropic just released a talk on building headless automation with Claude Code. Presented by Sid Bidasaria, Member of Technical Staff at Anthropic live at Code with Claude on May 22, 2025 in San Francisco. Here is what the talk covers. Headless mode lets you run Claude Code without a person actively typing prompts from inside an automated script. Instead of a live session, a script calls Claude with a pre-written instruction using the -p flag. This opens the door for Claude Code to become a piece of a much larger, automated process. In plain terms: Claude Code stops being a tool you use and starts being a service that runs on its own. What this unlocks: Scheduled tasks: Run Claude Code on a cron schedule without anyone at a keyboard. Fix linting errors across an entire codebase. Automatically. Overnight. CI/CD integration: Trigger Claude Code as a step in your build process. Open a PR. Claude reviews it, flags issues, and pushes fixes before a human ever looks at it. GitHub automation: A project manager comments "Claude fix this" on a GitHub issue. Claude reads the request, finds the code, writes the fix, and opens the PR. Multi-machine workflows: One orchestrator dispatches tasks to multiple Claude Code instances running in parallel across different repos simultaneously. When you combine headless mode, hooks, and GitHub Actions, development teams can automate tasks that usually eat up significant time freeing senior engineers to focus on architectural problems while Claude handles the repetitive ones. If you use Claude Code for anything beyond single sessions this talk is worth 20 minutes of your time.

Elias

14,096 görüntüleme • 3 ay önce

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,502 görüntüleme • 3 ay önce