My personal site: https://dreamlux.ai — I’m building Dreamlux, an AI video generator / studio. It focuses on fast template-based creation (short clips, social formats) with a simple credit system.
Would love feedback on UX/performance and what workflows you’d expect from a personal/indie-built tool.
Still working on longer video support and better human face generation.
Feedback welcome – especially on output quality and whether the UI makes sense.
I run a small team building Dreamlux.ai (AI video generation). AI changed my day-to-day in a few concrete ways:
Coding: I write less boilerplate and more “integration glue”. LLMs are great for scaffolding (Next.js routes, workers, SQL migrations) and translating logs/errors into hypotheses. Biggest win is speed from idea → working PR, not perfect code.
Debugging/ops: I paste real production symptoms (headers, cache status, curl repros, traces) and ask for ranked root-cause candidates + experiments. This reduced “blind poking” a lot, especially around CDN caching rules, 429s, image optimization, and edge-case billing/credits.
Planning/reviews: We now require “AI-assisted PR reviews” to include: risk list, test plan, rollback steps, and what metrics should move. It’s basically a checklist generator + reviewer #2. Humans still make the call.
What stuck: ChatGPT + a copilot in editor for daily work; LLM as a “rubber duck” for incident triage and for turning messy notes into specs.
What felt like hype: autonomous agents that “own” features end-to-end. Without tight scopes, they wander; with tight scopes, they’re just faster scripts. The sweet spot is human-led, AI-accelerated loops.
Curious: for managers, what’s your best process change that AI enabled (not just “wrote code faster”)?
I’m building Dreamlux.ai, a lightweight AI video maker for creators who want quick results without a steep learning curve.
The focus is: pick a template, drop in text/images, generate a short video in minutes.
Currently optimizing reliability (credits/accounting edge cases, caching, performance).
If you’re a heavy user of AI video tools, what’s the #1 workflow pain you still have?
https://dreamlux.ai
This doesn’t surprise me too much. Ad preview pipelines are often very different from core content moderation systems.
Especially for thumbnails, there’s usually a mix of heuristics, delayed review, and tolerance for false negatives to avoid blocking legitimate ads. The edge cases tend to leak through first.
I’d frame this less as “decoupling from the US” and more as general risk diversification.
Single-vendor and single-jurisdiction dependencies are fragile regardless of politics. Designing systems that can move providers, jurisdictions, or currencies with limited friction seems like the only practical approach.
I’m not convinced CAPTCHA is the right long-term solution anymore.
Most low-effort bots can already bypass basic CAPTCHA, while it mostly adds friction for legitimate users. HN’s strength is the quality of discussion, and that seems better protected by behavior-based signals (account age, posting patterns, community feedback) rather than one-time verification challenges.
I learned that “vibe coding” works surprisingly well if you bias hard toward shipping.
That approach helped me build and launch https://dreamlux.ai much faster than if I’d waited for a “perfect” plan.
