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New ask Hacker News story: A simple HTTPS, HTTP/3, SSL and security headers checker I built with AI

A simple HTTPS, HTTP/3, SSL and security headers checker I built with AI 3 by dragonman | 1 comments on Hacker News. I’m a DevOps engineer and recently started experimenting seriously with AI-assisted coding to see how useful it actually is in real work. It checks: - HTTPS redirects - SSL certificate validity - Mixed content - basic security headers - HTTP/3 support AI helped a lot with speed — scaffolding, boilerplate, and quick iterations. But testing, edge cases, and reviewing security-related logic quickly reminded me that AI doesn’t replace understanding. You still own every line of code you ship. This is mainly a learning project, not meant to replace full security scanners. I’d appreciate any feedback, bug reports, or thoughts on what’s missing or misleading. Check it out: https://httpsornot.com

New ask Hacker News story: Ask HN: Any Successful Co-Ops of Software Engineers

Ask HN: Any Successful Co-Ops of Software Engineers 2 by rubyn00bie | 1 comments on Hacker News. Salutations HN! I’ll keep it simple, has anyone known of or been a part of a co-op of software engineers? And if so, how did it go? I’m curious because it seems like the vast majority of early capital raises seem to go to paying for software development, and a small group of engineers could (in theory) output a few million dollars worth of value. It might not be attractive to VCs but it could probably form a business that lets coop members lead very comfortable lives.

New ask Hacker News story: Ask HN: What's your biggest LLM cost multiplier?

Ask HN: What's your biggest LLM cost multiplier? 4 by teilom | 2 comments on Hacker News. "Tokens per request" has been a misleading cost model for us in production. The real drivers seem to be multipliers: retries/429s, tool fanout, P95 context growth, and safety passes. What’s been the biggest cost multiplier in your prod LLM systems, and what policies worked (caps, degraded mode, fallback, hard fail)?

New ask Hacker News story: The AI bubble has nothing to do with AI

The AI bubble has nothing to do with AI 6 by AIFairy | 0 comments on Hacker News. The endless chatter about an "AI bubble" bursting focuses on whether ChatGPT subscriptions or enterprise API calls will ever generate enough revenue to justify the trillions in hype. But that's missing the point entirely. Even if every frontier lab, OpenAI, Anthropic, xAI, Google DeepMind, suddenly had zero paying customers tomorrow, the financial machinery driving the so called "AI revolution" would keep spinning, largely unchanged. Here's why: The core scheme isn't powered by current product revenue but rather a massive, parallel bet on future dominance in compute, energy, data, and geopolitical positioning. The real money flow looks like this: Hyperscalers (Microsoft, Amazon, Google, Meta, etc.) are pouring hundreds of billions annually into data centers, GPUs, and power infrastructure, not because their AI features are printing cash today (most aren't profitable ...

New ask Hacker News story: Ask HN: Why the OpenClaw hype? What's so special?

Ask HN: Why the OpenClaw hype? What's so special? 2 by anon_anon12 | 1 comments on Hacker News. OpenClaw is seemingly just another way to chat with an AI on another non-AI centric platform instead of the CLI or the company's site. Then, you have to give it so many API keys to actually utilise it, which for me has shattered the image of it enabling complete autonomy. Yes, I get that it's just an one-time thing, but all these platforms have AIs of their own at this point, why would I go through this new hassle. That too some have expiring API keys or certain limits as well. All in all, AGAIN, a feature, not a product.

New ask Hacker News story: Waypoint 1.1, a local-first world model for interactive simulation

Waypoint 1.1, a local-first world model for interactive simulation 6 by lcastricato | 0 comments on Hacker News. Over the last few weeks, world models have started to feel real for the first time. You can see coherent environments, long rollouts, and increasingly convincing visuals. At the same time, most of these systems are hard to run, hard to integrate, and trade interactivity for scale. We started Overworld because we cared less about producing impressive videos and more about building worlds you can actually inhabit. That means low latency, continuous control, and systems that respond every time you act, not once per prompt. Last week, we released Waypoint 1, a research preview of a real-time diffusion world model that runs locally. Next week, we’re releasing Waypoint 1.1 Small, which is designed to run on modern consumer GPUs and be easy to build on and modify. Waypoint is built from scratch rather than fine-tuned from a large video model. We optimized heavily for control fre...

New ask Hacker News story: Ask HN: How are devtool founders getting their paying users in 2026?

Ask HN: How are devtool founders getting their paying users in 2026? 3 by yasu_c | 0 comments on Hacker News. I’ve been looking at a number of devtools and AI tools launched over the last 12–18 months, and a pattern keeps repeating: - Strong product, clear technical value - Early users from friends / Twitter / communities - Then things stall when it comes to converting paying users Things that seem less effective than expected: - Content that ranks but doesn’t convert - Community posting that generates discussion but no revenue - “Build in public” without a clear path to payment Things that might be working, but inconsistently: - Integrations / ecosystems - Very narrow ICP + outbound - Founder-led sales lasting far longer than planned For founders actively shipping devtools today: - What’s actually getting you your first 10–50 paying users? - What looked promising but turned out to be a dead end? - If you were starting again in 2026, where would you focus first? Curious what’s worki...