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Introducing FlowSpeech: The World’s First TTS to Turn Written Text into Natural Speech Every other TTS service on the market today simply reads the text word-for-word. It’s like giving a presentation by just reading your PowerPoint slides out loud. It doesn’t work. You need to present it naturally, in your own words. And that’s the principle behind FlowSpeech. FlowSpeech is the world’s first TTS that can transform formal written text into conversational, spoken language. A TTS that actually sounds human. That might sound a bit abstract, so let your ears be the judge.

Introducing ListenHub AI From idea to podcast in a minute. With ListenHub, instantly turn any idea, article, or video into a podcast. Our Deep Research AI extracts key insights and even discovers trending topics for you. Listen anywhere, anytime—on the go, at work, or while relaxing.

Oops... looks like AWS is having a moment, and it's taking a big chunk of the internet down with it, including us at ListenHub. 📉 We're super bummed you can't access our service right now. To make matters worse, we can't even order McDonald's for our crisis meeting. The struggle is real. 😭🍔 We're keeping a close eye on the situation and will be back as soon as AWS gets its act together. Stay tuned!

made a business card for myself and the result is amazing. If you need it, the prompt is below 👇

Today was quite interesting—two well-known companies each published an article debating whether or not we should use multi-agent systems. Claude's official, Anthropic, wrote: “How we built our multi-agent research system” Devin's official, Cognition, argued: “Don’t Build Multi-Agents.” At the heart of the debate lies a single question: Should context be shared or separated? Claude’s view is that searching for information is essentially an act of compression. The context window of a single agent is inherently limited, and when it faces a near-infinite amount of information, compressing too much leads to inevitable distortion. This is much like a boss—no matter how capable—cannot manage everything alone and must hire people to tackle different tasks. Through multi-agent systems, the “boss” assigns different agents to investigate various aspects and highlight the key points, then integrates their findings. Because each agent has its own expertise, this diversity reduces over-reliance on a single path, and in practice, multi-agent systems often outperform single agents by up to 90%. This is the triumph of collective intelligence, the fruit of collaboration. On the other hand, Devin’s viewpoint is that multiple agents, each with its own context, can fragment information and easily create misunderstanding—their reports to the boss are often riddled with contradictions. Moreover, each step an agent takes often depends on the result generated in the previous step, yet multi-agent systems typically communicate with the “boss” independently, with little inter-agent dialogue, which readily leads to conflicting outcomes. This highlights the integrity and efficiency of individual intelligence. Ultimately, whether to adopt a multi-agent architecture seems strikingly similar to how humans choose to organize a company. A one-person company, or a team? In a one-person company, the founder’s intellectual, physical, and temporal resources are extremely limited. The key advantage is that communication costs are zero, which means every moment can be used most efficiently. In a larger team, the more people involved, the higher the communication costs and the greater the management challenges—overall efficiency tends to decrease. Yet, more people bring more ideas, greater physical capacity, and so there's potential for value creation on a much larger scale. Designing multi-agent systems is inherently challenging; it is, after all, much like running a company—it’s never easy. The difficulty lies in establishing an effective system for collaboration. Furthermore, the requirements for coordination differ entirely depending on whether you have 1, 3, 10, 100, or 1,000 people. Looking at human history, collective intelligence is the reason why civilization has advanced exponentially in modern times. Perhaps the collective wisdom of multi-agent systems is the very seed for another round of exponential growth in AI, especially as the scaling laws begin to slow. And as for context—humans themselves have never achieved perfect context management in collaboration, even now. It makes me think: software engineering has never been about perfection, but about continuous iteration. ---

Gemini 3 is being hyped up too much on X, I’m kind of looking forward to the launch next week.

Open the box of ListenHub Veo3 is so fun. Prompt： Description: Photorealistic cinematic shot of an empty [simple modern style] bedroom with white wood floors and soft daylight streaming in. A sealed [cardboard box with ListenHub logo] sits in the center. It wiggles, then bursts open in a bright, [deep blue] sparkly puff. The room transforms instantly into a [podcast studio] sanctuary. No text. Style: photorealistic cinematic Shot: fixed wide angle, front-facing for symmetrical reveal Lighting: soft, diffused natural light with subtle [deep blue] glow accents Room: blank [simple modern style] bedroom transformed into a [podcast studio] sanctuary Core Elements: [cardboard box with ListenHub logo] (logo and details visible) [acoustic foam panels and a professional office chair] plushies ([a fat orange cat], [microphone-shaped plushie], [headphone-shaped plushie], [soundwave-shaped plushie]) wall art or framed posters of [classic podcast cover art] and their world floating shelves with figurines and [deep blue] accessories vanity with mirror and [deep blue] chair [podcast studio] lamp or a neon sign of a [soundwave symbol] [circular] rug or fluffy floor mat [microphone]-shaped throw pillows Action: [cardboard box with ListenHub logo] opens, themed [podcast] items explode out and assemble rapidly and precisely, [a cat] walks into the frame and curls up on the rug Finale: soft, cozy [podcast studio] room glowing with [deep blue] warmth and [professional yet cozy] charm Text: noneKeywords: 16:9, [podcast studio], [podcasting], [deep blue] bedroom, fast assembly, no text, photorealistic, [deep blue] explosion, [professional yet cozy]

Introducing FlowSpeech: The World’s First TTS to Turn Written Text into Natural Speech Every other TTS service on the market today simply reads the text word-for-word. It’s like giving a presentation by just reading your PowerPoint slides out loud. It doesn’t work. You need to present it naturally, in your own words. And that’s the principle behind FlowSpeech. FlowSpeech is the world’s first TTS that can transform formal written text into conversational, spoken language. A TTS that actually sounds human. That might sound a bit abstract, so let your ears be the judge.

Introducing ListenHub AI From idea to podcast in a minute. With ListenHub, instantly turn any idea, article, or video into a podcast. Our Deep Research AI extracts key insights and even discovers trending topics for you. Listen anywhere, anytime—on the go, at work, or while relaxing.

made a business card for myself and the result is amazing. If you need it, the prompt is below 👇

A guest on Lenny's Podcast recommended "How to Get Rich" by Felix Dennis, a self-made billionaire who truly walked the walk. His core thesis is a game-changer: wealth isn't a dream, it's a skill you can master. He gives a brutally simple formula: Wealth = Ownership + Execution. 1. OWNERSHIP: Dennis argues this is the ONLY thing that matters. Believing a salary will make you rich is a "hallucination." Only equity lets you earn while you sleep. His advice? Guard your shares like a starving wolf guards its food. 2. EXECUTION: A mediocre idea that's perfectly executed is worth more than 1000 "great ideas" that live only in your mind. Stop waiting for a flash of genius. Action is everything. The mindset required? Extreme focus, embracing catastrophic failure, and a "compulsive obsession" with your goal. But what's most stunning is his honesty about the PRICE. He's blunt about the sacrifices: unimaginable hours, broken relationships (family & social), and crushing mental pressure. The path to "filthy rich" is real, but it's a journey not everyone is built for.

We’ve just launched All-in-One in ListenHub. You can now upload PDFs, Word docs, web links, images, or paste long text all at once, and our AI will summarize the key points into a smooth, ready-to-listen podcast. Study notes, reports, or random ideas—turn them into audio in minutes.

Gemini 3 is being hyped up too much on X, I’m kind of looking forward to the launch next week.

Oops... looks like AWS is having a moment, and it's taking a big chunk of the internet down with it, including us at ListenHub. 📉 We're super bummed you can't access our service right now. To make matters worse, we can't even order McDonald's for our crisis meeting. The struggle is real. 😭🍔 We're keeping a close eye on the situation and will be back as soon as AWS gets its act together. Stay tuned!

🧠 DeepSeek just cracked the code on AI memory in their latest DeepSeek OCR paper. Think about human memory: We remember yesterday crystal clear, but last year fades to fragments. What if AI could work the same way? Their brilliant solution uses optical compression to mimic this natural forgetting: Convert old conversations to images First compression: 10x token reduction Second compression: Another 10x reduction As conversations age, images get smaller & blurrier until the model can't read them Just like human memory decay, but engineered. The genius insight? Forgetting isn't a bug in human cognition—it's a feature. Instead of infinite context windows, let memories naturally fade. This could revolutionize long-context AI: Don't expand memory infinitely, let it gracefully decay just like we do.