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@Hackernoon

Deepak Kole Is Quietly Building One of Silicon Valley's Most Valuable Tech Forums HackerNoon How hackers start their afternoon. HackerNoon is a free platform with 25k+ contributing writers. 100M+ humans have visited HackerNoon to learn about technology

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  • Aug 15, 2026earliest in window
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News

@hackernoon
hackernoon.com > we-listen-we-dont-judge-here-are-11-hackernoon-editor-features-writers-keep-missing

We Listen, We Don't Judge: Here Are 11 HackerNoon Editor Features Writers Keep Missing

2+ week, 2+ day ago   (1121+ words) Over time, we've noticed that writers use the HackerNoon editor every day but still miss some of the features designed to make writing, organizing, and submitting stories easier. So in the spirit of “we listen, we don’t judge“, we decided…...

@hackernoon
hackernoon.com > ai-video-generation-forgets-where-the-camera-was-heres-the-screen-direction-workflow-that-fixes-it

AI Video Generation Forgets Where the Camera Was. Here's the Screen-Direction Workflow That Fixes It

2+ week, 5+ day ago   (562+ words) The 180-degree rule and the eyeline match don’t disappear just because your camera is a prompt, not a machine on a dolly. This is the workflow I run to keep it from happening again. Screen direction is the consistent left-right…...

@hackernoon
hackernoon.com > how-to-keep-an-ai-voice-consistent-across-every-video-clip

How to Keep an AI Voice Consistent Across Every Video Clip

2+ week, 6+ day ago   (621+ words) This isn’t a Lost Garden problem. It’s an AI video problem. Every clip you generate is a fresh, memoryless draw from a model that has no idea what happened in the clip before it, and that’s true for the picture…...

@hackernoon
hackernoon.com > how-to-cover-a-fight-scene-in-ai-generated-video-so-the-audience-can-follow-it

How to Cover a Fight Scene in AI-Generated Video So the Audience Can Follow It

3+ week, 1+ day ago   (378+ words) The three-shot pattern real stunt coverage runs on, adapted for a pipeline where every clip is generated blind. Bad action isn’t filmed badly. It’s covered indecisively. Ian Lynch Smith, Previs Pro That’s the trade to make on purpose, not by…...

@hackernoon
hackernoon.com > flux2-klein-9b-matchingpose-a-guide-to-identity-preserving-pose-transfer

Flux.2 Klein 9B MatchingPose: A Guide to Identity-Preserving Pose Transfer | HackerNoon

3+ week, 5+ day ago   (773+ words) Fails on extreme poses. Acrobatic, heavily contorted, or extreme poses reduce transfer accuracy noticeably. The model was trained on standard poses, so handstands, backbends, or unusual flexibility-dependent positions may produce anatomically incorrect limb placement or misaligned joints. Standard upright, sitting,…...

@hackernoon
hackernoon.com > i-ran-the-same-anime-character-through-meshy-multiview-and-single-image-3d

I Ran the Same Anime Character Through Meshy Multiview and Single-Image 3D

3+ week, 6+ day ago   (1763+ words) Multi-image input was a user request long before it was a shipped feature. Scroll the feature-request threads on almost any image-to-3D project and the same ask keeps surfacing, usually with the same reasoning attached: one picture can't carry the proportions,…...

@hackernoon
hackernoon.com > the-real-ai-video-bottleneck-isnt-generation-its-creative-control

The Real AI Video Bottleneck Isn’t Generation. It’s Creative Control | HackerNoon

4+ week, 8+ hour ago   (847+ words) AI video has improved quickly over the past two years. Tools from Runway and Pika to Veo and Seedance can now turn a prompt into a polished clip in minutes. That progress has changed what creators expect. Generating one strong…...