Users criticized the Show HN product for its attempts at humor being unfunny and the potential for providing harmful information. Technical issues were highlighted, including plot errors, discrepancies between video and text, incorrect calculations, and mispronunciations leading to confusion. The product's educational content was deemed lacking in focus and clarity, with unreliable math solutions and video generation problems. Users also noted errors in plotting and a lack of transparency regarding profit status and the model used. The video's failure to show work was also criticized as reducing its usefulness.

The launch of VideoGPT on Product Hunt garnered considerable excitement and positive feedback, with users praising its potential to simplify and accelerate video creation. Many highlighted its ease of use, impressive editing capabilities, and the innovative text-to-video concept. Several users reported success in generating videos, while some experienced issues such as incoherent video creation or overload errors. A few users inquired about video quality, stock footage sources, image copyright, and compatibility with specific GPT models. Suggestions for improvement included integrating Eleven Labs voice and enabling user video uploads for automated editing.

Users criticized the tool for generating nonsensical videos with random stock footage and music, raising copyright concerns. The video quality was deemed terrible, and creation failures due to overload were reported. Some users felt it was late to the AI video kit market. Concerns were raised regarding the need for a CPT+ upgrade with a waitlist and questions about user accessibility and future challenges. There were also specific issues mentioned such as users needing to update the text or voice.

The Product Hunt launch received overwhelmingly positive feedback, with users congratulating the team and praising the product as a game-changer for content creators. Many highlighted the impressive features of VideoGPT 2.0, particularly its video production capabilities and the potential of prompt-to-video technology. Users found it easy to use for creating explainer videos and were excited about the future of video generation. Some users expressed high hopes for the project's success and appreciated the product's usefulness, likability, and potential for accelerating video processes. A few users also offered suggestions, such as uploading personal images instead of AI-generated ones.

Several users expressed concerns regarding the product's effectiveness and its ability to deliver the promised results, with some doubting its efficiency based on past experiences with similar slow or poor-performing products. A suggestion was made to explore alternative video segments that would better showcase the product's value.

The Product Hunt launch of Pictory GPT received overwhelmingly positive feedback, with users expressing excitement about its innovative AI integration, ease of use, and time-saving capabilities for video creation. Many users congratulated the team and highlighted the seamless integration with ChatGPT. Some users faced issues like Firefox preview problems, LinkedIn access issues, video generation stalls, and limitations with video length and voiceover time. There were also queries regarding API access, watermarks, trial without subscription and integration with GPT-4.

Several users reported technical issues including Firefox preview problems, LinkedIn access failures, and stalled video generation. Pictory AI's script-to-video tool and GPT integration also faced criticisms related to functionality, accuracy, and cost. Some users found the tool buggy, time-consuming, and no easier than manual methods, citing irrelevant video outputs, ignored prompts, and latency issues. Limitations such as video length and errors preventing video creation led to frustration, alongside concerns about the tool's value compared to alternatives and the clarity of its branding features.

Visla's AI video generator is receiving overwhelmingly positive feedback for its ease of use, time-saving capabilities, and ability to quickly create professional-quality videos from simple ideas. Users are excited about its potential for marketing, social media, and various business/personal applications. The AI-powered features, smooth onboarding, and supportive team are frequently praised. Many congratulate the team on the successful launch, expressing eagerness to try the tool and anticipating future enhancements, including image generation.

Users have expressed concerns about the limited customization options for branding in AI videos. Some users reported difficulty in creating videos due to a lack of program knowledge. There are also concerns about the AI's ability to accurately represent the user's initial idea. The range of images needs improvement for the SaaS, as some users have observed that they are typical stock photos.

The launch received positive feedback and congratulations, with users highlighting its potential as a great learning tool and math solver. Questions arose regarding its correctness, ability to handle complex reasoning tasks, and the timing of the launch relative to school days. Overall, users are enthusiastic about its educational applications.

The primary criticisms of the Product Hunt launch include disappointment regarding the product's delayed release. Also, a user inquired whether the tool provides step-by-step instructions or explanations within the product.

References in method.md are mostly in Chinese.

References are mostly in Chinese.

The product launch is receiving positive feedback, with users praising its design and idea. There's interest in Canva integration. One user offered to list the app in AI directories. Congratulations are extended to the team on the launch.

Trellis's Product Hunt launch garnered positive feedback, with users praising its interactive, customizable AI education and pleasurable UI/UX. Many are excited about its potential to simplify complex topics, personalize learning, and transform education. Users appreciate its accessibility and usefulness, particularly for those intimidated by AI. Questions arose regarding the product's name, roadmap, how it helps teachers scale quality education, and its best subject areas. Several users congratulated the team and expressed excitement about using Trellis.

Users criticized the product launch for not mentioning AI in the title, leading to a potentially misleading impression. There was feedback regarding the generic, 'one-size-fits-all' approach of existing systems, which users felt was a policy failure. Clarity in textbooks was also raised as a point of concern. Users inquired about integration with e-readers and locations for testing the product, and expressed that the product would have been helpful earlier in their academic careers.