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so you're telling me a dev actually coded a virtual whip to micro-manage Claude and make him work faster?pic.twitter.com/d62KBwCxKj
— Charly Wargnier (@DataChaz) 7 avril 2026
so you're telling me a dev actually coded a virtual whip to micro-manage Claude and make him work faster?
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🚨 There is an awesome new tool called Money Printer. You paste your website link into it, and it automatically brings in customers 🔥 No building lists. No writing copy. No manual campaign setup. It handles the entire sales cycle: → Finds in-market companies based on your website → Pinpoints the exact people you need to talk to → Generates custom, highly personalized messaging → Automatically sends the emails and makes the phone calls I ran a quick test, and it immediately found accounts I never would have spotted manually. Most companies still treat outbound as a manual grind. This skips the grind completely. Input URL → Get customers. It's that simple. (link below) [Translated from EN to English]
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Loved collaborating with @OpenBMB on this.
— Charly Wargnier (@DataChaz) 6 avril 2026
♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗
Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz https://t.co/tXpDPDlS6G
Loved collaborating with @OpenBMB on this. ♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗 Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz Charly Wargnier (@DataChaz) 🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓ — https://nitter.net/DataChaz/status/2041289800695873546#m
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3/ Model Weights: https://huggingface.openbmb.com/model/openbmb/VoxCPM2 [Translated from EN to English]
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2/ GitHub Repo: github.com/OpenBMB/VoxCPM/ [Translated from EN to English]
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1/ HuggingFace Space to try it: huggingface.co/spaces/openbm…
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🚨 The new era of Open-Source TTS is here.@OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis.
— Charly Wargnier (@DataChaz) 6 avril 2026
We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it.
How… pic.twitter.com/wetVFDVTyc
🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓
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if, like me, you have so many ppl to remove from your old photos, this is a banger 😉 https://t.co/HTdrUfS9MJ
— Charly Wargnier (@DataChaz) 6 avril 2026
if, like me, you have so many ppl to remove from your old photos, this is a banger 😉 Charly Wargnier (@DataChaz) Wow. @Netflix just dropped VOID. This AI removes objects from any video… And even corrects the physics of the scene after objects/people are removed 🤯 It's 100% free and open-source. Repo + demo links in 🧵↓ — https://nitter.net/DataChaz/status/2041045342687564031#m