[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @reach_vb Vaibhav (VB) Srivastav Vaibhav (VB) Srivastav posts on X about faster, showcase, hub, files the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::874987512850128897/interactions)  - X Week XXXXXX -XX% - X Month XXXXXXX -XX% - X Months XXXXXXXXX -XX% - X Year XXXXXXXXXX +40% ### Mentions: X [#](/creator/twitter::874987512850128897/posts_active)  - X Week XX -XX% - X Month XX -XX% - X Months XXX -XX% - X Year XXX +80% ### Followers: XXXXXX [#](/creator/twitter::874987512850128897/followers)  - X Week XXXXXX +0.22% - X Month XXXXXX +0.45% - X Months XXXXXX +15% - X Year XXXXXX +82% ### CreatorRank: XXXXXXX [#](/creator/twitter::874987512850128897/influencer_rank)  ### Social Influence [#](/creator/twitter::874987512850128897/influence) --- **Social category influence** [technology brands](/list/technology-brands) XXXX% **Social topic influence** [faster](/topic/faster) 2.36%, [showcase](/topic/showcase) 0.79%, [hub](/topic/hub) 0.79%, [files](/topic/files) 0.79%, [karpathy](/topic/karpathy) 0.79%, [v2](/topic/v2) 0.79%, [r1](/topic/r1) 0.79%, [realtime](/topic/realtime) 0.79%, [arabic](/topic/arabic) 0.79%, [latin](/topic/latin) XXXX% **Top accounts mentioned or mentioned by** [@alibabaqwen](/creator/undefined) [@huggingface](/creator/undefined) [@communicating](/creator/undefined) [@prince_canuma](/creator/undefined) [@realmrfakename](/creator/undefined) [@siddhantsadangi](/creator/undefined) [@unslothai](/creator/undefined) [@heyitsyorkie](/creator/undefined) [@nvidiaaidev](/creator/undefined) [@simonw](/creator/undefined) [@ivanfioravanti](/creator/undefined) [@patloeber](/creator/undefined) [@deepseekai](/creator/undefined) [@googledeepmind](/creator/undefined) [@zectbynmo](/creator/undefined) [@theanimeshs](/creator/undefined) [@clementdelangue](/creator/undefined) [@openai](/creator/undefined) [@groqinc](/creator/undefined) [@dhruv2mars](/creator/undefined) ### Top Social Posts [#](/creator/twitter::874987512850128897/posts) --- Top posts by engagements in the last XX hours "The Hugging Face Hub team is on a tear recently: You can create custom apps with domains on spaces Edit GGUF metadata on the Fly XXX% of the Hub is powered by Xet - faster efficient Responses API support for ALL Inference Providers MCP-UI support for HF MCP Server Search papers based on the Org Showcase repository size on the UI and a lot more - excited for the coming weeks/ months as we continue to improve the overall UX 🤗" [X Link](https://x.com/reach_vb/status/1976328324503744938) [@reach_vb](/creator/x/reach_vb) 2025-10-09T16:46Z 33.5K followers, 14.3K engagements "@karpathy Love itt btw @kszucs_ from the team opened a PR to download the files faster and efficiently from Hugging Face 🤗" [X Link](https://x.com/reach_vb/status/1978062616976044540) [@reach_vb](/creator/x/reach_vb) 2025-10-14T11:37Z 33.5K followers, 1306 engagements "BOOM: We've just re-launched HuggingChat v2 💬 - XXX open source models in a single interface is stronger than ChatGPT 🔥 Introducing: HuggingChat Omni 💫 Select the best model for every prompt automatically 🚀 Automatic model selection for your queries XXX models available across XX providers including @GroqInc @CerebrasSystems @togethercompute @novita_labs and more Powered by HF Inference Providers access hundreds of AI models using only world-class inference providers Omni uses a policy-based approach to model selection (after experimenting with different methods). Credits to @katanemo_" [X Link](https://x.com/reach_vb/status/1978854312647307426) [@reach_vb](/creator/x/reach_vb) 2025-10-16T16:03Z 33.5K followers, 60.4K engagements "chat is this real 128K context int4 quantisation 1B params distilled from Llama X 🔥" [X Link](https://x.com/reach_vb/status/1978911810494345401) [@reach_vb](/creator/x/reach_vb) 2025-10-16T19:51Z 33.5K followers, 32K engagements "Pretty cool to see a MIT licensed 15B model competing w/ DeepSeek R1 - how are the vibes 👀" [X Link](https://x.com/reach_vb/status/1973731570008871381) [@reach_vb](/creator/x/reach_vb) 2025-10-02T12:47Z 33.5K followers, 33.3K engagements "Qwen dropped smaller (competitive) VLM - competitive to GPT-5 Mini 😍 30B A3B MoE Reasoning and non-reasoning 256K context (can go up to 1M) Multilingual (32 languages)" [X Link](https://x.com/reach_vb/status/1974394044857081990) [@reach_vb](/creator/x/reach_vb) 2025-10-04T08:39Z 33.5K followers, 35.3K engagements "@Alibaba_Qwen love itt" [X Link](https://x.com/reach_vb/status/1978151710481686586) [@reach_vb](/creator/x/reach_vb) 2025-10-14T17:31Z 33.5K followers, 2950 engagements "@SiddhantSadangi You can actually access all of them via the API via Inference Providers:" [X Link](https://x.com/reach_vb/status/1978913977330532676) [@reach_vb](/creator/x/reach_vb) 2025-10-16T20:00Z 33.5K followers, XXX engagements "@SiddhantSadangi But you can just use the models via chat completion/ responses directly no" [X Link](https://x.com/reach_vb/status/1978948267934175651) [@reach_vb](/creator/x/reach_vb) 2025-10-16T22:16Z 33.5K followers, XX engagements "🚨 Apple just released FastVLM on Hugging Face - XXX XXX and 7B real-time VLMs with WebGPU support 🤯 85x faster and 3.4x smaller than comparable sized VLMs 7.9x faster TTFT for larger models designed to output fewer output tokens and reduce encoding time for high resolution images Bonus: works in REALTIME directly in your browser powered by transformers.js and WebGPU 🔥 Try it out on the demo below 👇" [X Link](https://x.com/reach_vb/status/1961471154197053769) [@reach_vb](/creator/x/reach_vb) 2025-08-29T16:49Z 33.5K followers, 584.9K engagements "Pretty wild what 900M params can do - PaddleOCR VL 🔥 SOTA on OmniDocBench v1.0 & v1.5 (text tables formulas charts reading order) Multilingual - XXX languages (Latin Arabic Cyrillic Devanagari Thai etc) Handles handwriting historical docs noisy scans Supports output JSON + Markdown NaViT-style dynamic visual encoder + ERNIE-4.5-0.3B LM Available on HF and works w/ Transformers (remote code) 🤗" [X Link](https://x.com/reach_vb/status/1979219167258554752) [@reach_vb](/creator/x/reach_vb) 2025-10-17T16:13Z 33.5K followers, 15.6K engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Vaibhav (VB) Srivastav posts on X about faster, showcase, hub, files the most. They currently have XXXXXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.
Social category influence technology brands XXXX%
Social topic influence faster 2.36%, showcase 0.79%, hub 0.79%, files 0.79%, karpathy 0.79%, v2 0.79%, r1 0.79%, realtime 0.79%, arabic 0.79%, latin XXXX%
Top accounts mentioned or mentioned by @alibabaqwen @huggingface @communicating @prince_canuma @realmrfakename @siddhantsadangi @unslothai @heyitsyorkie @nvidiaaidev @simonw @ivanfioravanti @patloeber @deepseekai @googledeepmind @zectbynmo @theanimeshs @clementdelangue @openai @groqinc @dhruv2mars
Top posts by engagements in the last XX hours
"The Hugging Face Hub team is on a tear recently: You can create custom apps with domains on spaces Edit GGUF metadata on the Fly XXX% of the Hub is powered by Xet - faster efficient Responses API support for ALL Inference Providers MCP-UI support for HF MCP Server Search papers based on the Org Showcase repository size on the UI and a lot more - excited for the coming weeks/ months as we continue to improve the overall UX 🤗"
X Link @reach_vb 2025-10-09T16:46Z 33.5K followers, 14.3K engagements
"@karpathy Love itt btw @kszucs_ from the team opened a PR to download the files faster and efficiently from Hugging Face 🤗"
X Link @reach_vb 2025-10-14T11:37Z 33.5K followers, 1306 engagements
"BOOM: We've just re-launched HuggingChat v2 💬 - XXX open source models in a single interface is stronger than ChatGPT 🔥 Introducing: HuggingChat Omni 💫 Select the best model for every prompt automatically 🚀 Automatic model selection for your queries XXX models available across XX providers including @GroqInc @CerebrasSystems @togethercompute @novita_labs and more Powered by HF Inference Providers access hundreds of AI models using only world-class inference providers Omni uses a policy-based approach to model selection (after experimenting with different methods). Credits to @katanemo_"
X Link @reach_vb 2025-10-16T16:03Z 33.5K followers, 60.4K engagements
"chat is this real 128K context int4 quantisation 1B params distilled from Llama X 🔥"
X Link @reach_vb 2025-10-16T19:51Z 33.5K followers, 32K engagements
"Pretty cool to see a MIT licensed 15B model competing w/ DeepSeek R1 - how are the vibes 👀"
X Link @reach_vb 2025-10-02T12:47Z 33.5K followers, 33.3K engagements
"Qwen dropped smaller (competitive) VLM - competitive to GPT-5 Mini 😍 30B A3B MoE Reasoning and non-reasoning 256K context (can go up to 1M) Multilingual (32 languages)"
X Link @reach_vb 2025-10-04T08:39Z 33.5K followers, 35.3K engagements
"@Alibaba_Qwen love itt"
X Link @reach_vb 2025-10-14T17:31Z 33.5K followers, 2950 engagements
"@SiddhantSadangi You can actually access all of them via the API via Inference Providers:"
X Link @reach_vb 2025-10-16T20:00Z 33.5K followers, XXX engagements
"@SiddhantSadangi But you can just use the models via chat completion/ responses directly no"
X Link @reach_vb 2025-10-16T22:16Z 33.5K followers, XX engagements
"🚨 Apple just released FastVLM on Hugging Face - XXX XXX and 7B real-time VLMs with WebGPU support 🤯 85x faster and 3.4x smaller than comparable sized VLMs 7.9x faster TTFT for larger models designed to output fewer output tokens and reduce encoding time for high resolution images Bonus: works in REALTIME directly in your browser powered by transformers.js and WebGPU 🔥 Try it out on the demo below 👇"
X Link @reach_vb 2025-08-29T16:49Z 33.5K followers, 584.9K engagements
"Pretty wild what 900M params can do - PaddleOCR VL 🔥 SOTA on OmniDocBench v1.0 & v1.5 (text tables formulas charts reading order) Multilingual - XXX languages (Latin Arabic Cyrillic Devanagari Thai etc) Handles handwriting historical docs noisy scans Supports output JSON + Markdown NaViT-style dynamic visual encoder + ERNIE-4.5-0.3B LM Available on HF and works w/ Transformers (remote code) 🤗"
X Link @reach_vb 2025-10-17T16:13Z 33.5K followers, 15.6K engagements
/creator/x::reach_vb