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I'm a non-technical founder (well, semi-technical I can read some basic code, but writing it from scratch isn't my thing).

A few weeks ago, I launched Belink, a free link-in-bio tool that competes with Linktree.

The entire thing was built using Manus, an AI agent that writes code, deploys it, and manages your project end-to-end.

We obsess over features, performance, and tech stack but the moment a developer can't get from "install" to "aha moment" in under 5 minutes, they're gone forever.

I've been building developer tools for a while now, and the #1 reason people churn isn't bugs. It's confusion.

Here's what I've learned:

README files are not onboarding

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
Restricting access to advanced AI technologies based on geography, nationality, or policy decisions may become increasingly common in the years ahead.

If that happens, countries that are already behind in the AI race could find themselves falling even further behind.

The choices may eventually become simple:

Build and invest in your own AI capabilities
Or depend on technologies controlled by others

The answer is yes.

Team size community engagement is the strongest predictor
B2B categories (API, Payments, Fintech) convert at 3 the baseline
Rank #1 on launch day 2.2 more likely to raise Series A

For the last 6+ years I've been curating amazing WFH setups in a weekly newsletter called Workspaces (500+ interviews and counting!). I'll start:

2024 14-inch MacBook Pro (personal)

2024 13-inch MacBook Air (work)

A lot of launch advice focuses on getting attention on day one.

But I m starting to think the harder part is what happens after the spike.

You finish a session, close Cursor, come back the next day. Ten minutes gone just reconstructing where you were. Stack decisions, rejected approaches, half-finished threads.

Nobody talks about this part. Everyone optimizes the coding flow but the between-session memory problem just sits there.

Most have garbage terms lifetime deals, 70% commissions, heavy discounts. The math doesn't work unless you're already at scale, and by then you're locked into bad contracts. Wondering how many founders realize their unit economics are actually just paying off vendor debt.

Hey there,

Bit of context first: I am a member of a 30 people+ team and most API clients we used felt like they were built for a different job than what we actually did.

But the ones actually landing bigger contracts show clients what their market is saying about them first then the creative makes sense. I've been thinking about how MentionFox could be the intelligence layer agencies pitch before the deck.

How much do you spend on monthly subscriptions?

If you re already on a premium plan like Claude Max or ChatGPT Pro, stick with it, unless you really want to optimize your "vibe coding" workflow.

I spent 25 years on construction sites. Today, I don't write code I orchestrate it.

While my latest launch ('What Do I Say?') was trending on PH, I spent the afternoon using agentic loops to build a Full-Stack AI Navigation App.

The Stack:

• Backend: Real-time Google Maps/Waze data orchestration.

• UI: High-end 'Co-Pilot' dark mode dashboard with 2D/3D perspective switching.

• AI Layer: A multi-intent voice brain that handles routing, traffic interrupts, and 'Pit Stop' predictions.

• The Result: A production-grade, voice-first navigator built without writing a single line of manual code.