Manish Khosiya posts 72+ AI tools

1/ Manish Khosiya posted a long X thread on May 21 listing “72+ AI tools” organized by use case, with the pitch that they can “slash months of work into minutes.” (x.com) 2/ The post grouped tools across research, image generation and video generation, rather than presenting a single ranking or review. Named tools in the list included ChatGPT, Claude and DeepSeek R1 for research-oriented work. (x.com) 3/ On the image side, the thread named Midjourney and Flux. On the video side, it named Sora and Kling, putting text, image and video products in one workflow-style roundup. (x.com) 4/ The format matters because these compilations are spreading on X as a discovery layer for AI products. The value is not that the tools are new; it is that the post packages many familiar names into a single browseable menu with links. That framing is visible in the thread itself. (x.com) 5/ The research category in Khosiya’s post centered on general-purpose assistants and reasoning models. ChatGPT, Claude and DeepSeek are all widely used entry points for drafting, summarizing, coding help and question-answering. (x.com) 6/ The image category leaned on tools already prominent with creators. Midjourney remains one of the best-known image generators, while Flux has become a common name in AI image workflows and comparisons. (x.com) 7/ The video section pointed readers to Sora and Kling, two names that now show up regularly in 2026 roundups of leading AI video tools. That puts the thread squarely in the current pattern of “one stack for everything” posts. (x.com) 8/ One way to read the post is as a workflow map. A user could start with ChatGPT, Claude or DeepSeek for research, move to Midjourney or Flux for visuals, and then use Sora or Kling for motion assets. That sequence is an inference from the categories Khosiya used. (x.com) 9/ The post does not, at least from the available source view, establish testing criteria, pricing comparisons or performance benchmarks for the 72-plus tools. It functions more as a curated index than as a scored buyer’s guide. (x.com) 10/ That distinction matters because AI tool lists can mix established products with niche or fast-changing ones. Product capabilities, access terms and model versions can shift quickly, especially in image and video generation. (popularaitools.ai) 11/ The broader market context is crowded. OpenAI’s site now highlights GPT-5.5 and newer ChatGPT product updates, while third-party rankings in 2026 still place ChatGPT, DeepSeek and Claude among the most-visited or most-cited AI tools. (openai.com) 12/ The practical takeaway from Khosiya’s thread is simple: it is a directory post, not a verdict. Readers who use it well will treat it as a starting list, then narrow by task, budget and output format before committing to any single tool. (x.com)