HN user
GTM Engine turns Claude Code into your sales team. Eight opinionated slash-command skills that run your entire go-to-market motion — pipeline tracking, daily rituals, call analysis, lead scoring, cold outreach — all from your terminal.
Glad to hear this, finally can use Claude for my projects!
And missing sources:
https://www.anthropic.com/news/claude-in-microsoft-foundry
https://www.anthropic.com/news/microsoft-nvidia-anthropic-an...
Junior makes random mistakes. LLM makes consistent mistakes.
After a few weeks you know the patterns: where it's reliable, where it hallucinates.
You're right - poor wording. Static vs dynamic is what I meant.
Suddenly feeling better about our 99.9% uptime SLA.
When even Cloudflare goes down, nobody can blame the little guys.
No specific structure - you'll need to experiment based on your project.
I treat it like briefing a senior engineer. Example:
"Currently we have X, Y, Z but it has ABC limitation. We need to support FOOBAR. What are our options?"
Agent suggests 3 approaches.
"Go with Approach 1 but remove the Z part. Implement it."
Try being specific about constraints and current state. The agent fills in the implementation details, but you drive the decisions.
From that standpoint, it's definitely happening already. But removal is easier too now. The real question is whether teams will have the discipline to delete. Most won't, but those who do will build better products.
AI made us 10x more productive. Management noticed. Now we are expected to ship 10x more features.
The free time was a lie we told ourselves.
I'm building a startup myself and we vibe code everything, except core/complex parts where AI struggles.
My workflow:
1. Give the agent detailed task + relevant file contexts (so it doesn't waste time searching)
2. Guide it with continuous feedback when it veers off
3. Jump in manually if it's going completely wrong direction
I use Claude Code for the agent work, Cursor for manual edits.
Key insight: AI coding works as well as your architecture does. I make all architecture decisions, file structure, organization -- AI just writes the implementation logic.
Clean architecture = better AI output.
I believe This is becoming the norm because it gives startups massive velocity advantage. That's probably why your CTO is pushing it.
Career impact? As a senior who understands what AI writes, you're gaining superpowers, not losing skills. You were previously bottlenecked by implementation speed and needed other engineers. Now you can be a 10x engineer - as long as you can envision the architecture, AI helps you build it faster.
The key is knowing when to guide vs when to take over. That judgment comes from experience.
Once you've gone through the learning resources others shared, LeetCode has a dedicated concurrency section for hands-on practice: https://leetcode.com/problemset/concurrency/
(I actually authored a few of those problems - they cover the classic scenarios like producer-consumer, dining philosophers, etc.)
It had been up for me, from Asia.
Couldn't relate more.
I built this Chrome extension using similar logic to youtube-dl: https://chromewebstore.google.com/detail/audio-only-youtube/...
Eventually couldn't keep up with maintenance and leave it, sigh.
My WHY: I need money to pay rent. My company's WHY: Generate shareholder value.
There, saved everyone $97. You're welcome.
Nice read though!
Also checkout https://www.youtube.com/watch?v=iT7kq-R3Gjc too. It's absolute gold for GEO/AEO.
What's your take on using AI-generated content for GEO? If it follows E-E-A-T and adds genuine value, does the origin matter for AI visibility?
In theory, maybe to some extent yes - unique usernames could beat reused emails.
But let's be real - nobody actually does that.
All marketers ~~are liars~~ tell stories.
Still on youtube-dl here - didn't know yt-dlp was the actively maintained fork.
IIRC there's pre-processing (embedding/tokenization?) before feeding images to LLMs?
Hit this issue optimizing LLM request times. Ending up lowering image resolution. Lost some accuracy but could bear that.
What metrics are you tracking specifically?
Opposite problem here - all building, no marketing. Now struggling with GTM because nobody knows we exist.
The real trap is thinking it's either/or. You need both engines running.
As others mentioned, you can't stop them from doing this. It's a cutthroat game where companies will try to poach customers however they can.
Best defense is making your customers so happy they won't switch, but tactically:
- Create a private Slack/Discord for paying customers only (harder for them to infiltrate) - Move community to a platform with anonymous usernames (Something similar to Reddit-style forums or Discord with display names) - Add some soft vendor lock-in -- a bit evil but sometimes necessary - just maintain the balance between retention and not being user-hostile
On a positive side, if a VC funded startup is this desperate to poach your users, you're clearly doing something right.
- from fellow wannabe bootstrapper
IDM - Internet Download Manager -- Only available for Windows, never saw a proper alternative for Linux/MacOS with the same reliability and browser integration.
Though no longer download videos/files enough to complain about it.
Curious how you're thinking about the MLE role evolving with LLMs disrupting so much of traditional ML work?
BTW, try Claude Code for your next project - you will love it! :)
In my experience, LLMs tend to take noticeably longer to process images than text.