Gen-4.5 is the world's best video model, featuring state-of-the-art motion quality, prompt adherence and visual fidelity.
Based on the limited social mentions provided, users appear to view Runway as a significant player in AI video generation, often mentioned alongside other major models like Sora and Kling. However, there are technical limitations noted, particularly with complex physics simulations like coastal wave interactions and liquid-solid interfaces that current generative models including Runway still struggle to accurately represent. The company is actively investing in its ecosystem with a $10 million fund and startup program, suggesting confidence in its technology and market position. Overall sentiment seems cautiously optimistic, recognizing Runway's capabilities while acknowledging areas where the technology still needs improvement.
Mentions (30d)
3
Reviews
0
Platforms
4
Sentiment
0%
0 positive
Based on the limited social mentions provided, users appear to view Runway as a significant player in AI video generation, often mentioned alongside other major models like Sora and Kling. However, there are technical limitations noted, particularly with complex physics simulations like coastal wave interactions and liquid-solid interfaces that current generative models including Runway still struggle to accurately represent. The company is actively investing in its ecosystem with a $10 million fund and startup program, suggesting confidence in its technology and market position. Overall sentiment seems cautiously optimistic, recognizing Runway's capabilities while acknowledging areas where the technology still needs improvement.
Features
Industry
information technology & services
Employees
440
Funding Stage
Series E
Total Funding
$961.5M
LaGuardia pilots raised safety alarms months before deadly runway crash
View originalPricing found: $12/month, $0, $144, $336, $912
Exclusive: Runway launches $10M fund, Builders program to support early-stage AI startups
Runway is launching a $10 million fund and startup program to back companies building with its AI video models, as it pushes toward interactive, real-time “video intelligence” applications.
View originalLaGuardia pilots raised safety alarms months before deadly runway crash
View original[D] Solving the "Liquid-Solid Interface" Problem: 116 High-Fidelity Datasets of Coastal Physics (Waves, Saturated Sand, Light Transport)
Modern generative models (Sora, Runway, Kling) still struggle with the complex physics of the shoreline. I’ve spent months capturing **116 datasets** from the Arabian Sea to document phenomena that are currently poorly understood by AI: * **Wave-Object Interaction:** Real-world flow around obstacles and backwash dynamics. * **Phase Transitions:** The precise moment of water receding and sand drying (albedo/specular decay). * **Multi-Layer Light Transport:** Transparency and subsurface scattering in varying water depths and lighting angles. * **Complex Reflectivity:** Concurrent reflections on moving waves, foam, and water-saturated sand mirrors. * **Fluid-on-Fluid Dynamics:** Standing waves and counter-flows at river mouths during various tidal stages. **Technical Integrity:** * **Zero Motion Blur:** Shot at **1/4000s** shutter speed. Every bubble and solar sparkle is a sharp geometric reference point. * **Ultra-Clean Matrix:** Professional sensor/optics decontamination. No artifacts, just pure data for segmentation. * **High-Bitrate:** ProRes 422 HQ, preserving 10-bit tonal richness in extreme high-glare (contre-jour) environments. **Full Metadata & Labeling:** Each set includes precise technical specs (ISO, Shutter, GPS) and comprehensive labeling. I’m looking for professional feedback from the ML/CV community: **How "clean" and "complete" are these datasets for your current training pipelines?** **Access for Evaluation:** * **Light Sample (6.6 GB):** Link to Google Drive * **Full Sets (60+ GB each):** Available upon request for researchers and developers. I am interested in whether this level of physical "ground truth" can significantly reduce flickering and geometric artifacts in fluid-surface generation.
View originalShow HN: Nett – See what you can spend (not your bank balance)
Hi HN,<p>I'm an accountant and bootstrapped SaaS founder, and I built Nett (<a href="https://nett.fyi" rel="nofollow">https://nett.fyi</a>) because I kept watching the same mistake — including my own.<p>Founders check their bank balance, see $84K, and feel fine. As an accountant, I can tell you that number is fiction:<p>- $18K was deferred revenue from annual customers (money I'd already been paid but hadn't earned yet) - $21K should have been set aside for taxes - $8K in commitments I'd said yes to but hadn't hit the books - $6K in recurring costs coming due in 30 days<p>My real number was $31K. The gap between what my bank said and what was actually mine to spend was $53K. I didn't know that until I built this.<p>Nett connects to Stripe (read-only), you enter your bank balance and recurring costs, and it calculates a single number: Safe-to-Spend. It's your bank balance minus everything that's already spoken for.<p>It also gives you a conservative runway clock (assumes zero revenue growth — the honest version), hidden commitment tracking for the verbal yeses that don't show up anywhere, and what-if scenarios for the 2am anxiety questions ("what if I lose my biggest customer?").<p>The whole thing is built with Next.js, Supabase, and Stripe Connect. Dark theme, opinionated UI, no complex configuration. Setup takes under 5 minutes.<p>Free calculator at <a href="https://nett.fyi/calculator" rel="nofollow">https://nett.fyi/calculator</a> if you want to see the gap without signing up.<p>I'd love feedback on the approach. Is the "one honest number" framing useful, or do founders actually want more flexibility in how they model their finances?
View originalYes, Runway offers a free tier. Pricing found: $12/month, $0, $144, $336, $912
Key features include: Every model you need to make anything you want., Apps for Everything, Gen-4.5: A New Frontier for Generative Video, GWM Robotics: General World Models for Robotics, GWM Worlds: Interactive and Explorable World Models, Runway Characters: Real-time Video Agents, GWM-1, Gen-4.5.
Based on user reviews and social mentions, the most common pain points are: ai startup.
Robert Scoble
Futurist at Scobleizer
1 mention
