Alan Yu @TheAlanMachine

@saradu Oo where is this quote from?

Introducing Flint Ads Agent: we optimize your Google Ads spend for you. Our agent figures out what’s costing you conversions, using our comprehensive data and optimization engine. Then, it executes the fix for you, and learns from the results. @BoomPopHQ 10x’ed conversions with it.

@chongz What if you’re just here for the plot

We released Sonic-3.5 and Ink-2, the #1 streaming models for text to speech and speech to text you can use in your voice agents today. New architectures enable new frontiers for speed and quality. We're now the only provider to have #1 models for both speaking and listening.

Loop engineering feels correct in a self healing system but also feels wrong because you don’t need to tell your normal person 15 times to fix something

Codez @0xCodez

2 months ago

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A homeowner frantically calls their HVAC company at 11pm during a snowstorm because the heat went out. Netic's AI has a few hundred milliseconds to pull their account history, the age and make of their furnace, technician availability, and pricing, then reason through it, respond with empathy, and book the service. That's our agentic brain at work. It’s a constellation of specialized agents, each built for one job and grounded in the business's operating logic. As a conversation unfolds across voice, text, chat, and email, an orchestration layer selects the right agent and gives it the exact context it needs. It works well beyond HVAC. The same brain powers plumbing, pest control, veterinary, and dozens more industries, each with its own workflows, terminology, and edge cases. Getting frontier AI to run reliably in the messiest corner of the economy is one of the hardest engineering problems we know of. We're proud to be working on it. Here's a look at the engineering problems you won't find anywhere else, and the culture that's focused on solving them. netic.ai/engineering

Suddenly I'm a massive fan of benchmarks

Cartesia’s Sonic-3.5 takes the #1 spot on the Artificial Analysis Speech Arena Leaderboard, surpassing Inworld Realtime TTS 1.5 Max and Google’s Gemini 3.1 Flash TTS Sonic-3.5 is the latest TTS model from @cartesia . It supports 42 languages, including 9 Indian languages, with 500+ voices available out of the box. The model has been highly preferred among voters in the TTS Arena, with its demonstrated naturalness and accurate transcript following. Key takeaways: ➤ Quality: Sonic-3.5 has an Elo score of 1,218 (+16/-16) based on 1,144 arena appearances, placing it ahead of Inworld Realtime TTS 1.5 Max at 1,194 and Gemini 3.1 Flash TTS at 1,209 ➤ Pricing: Sonic-3.5 is priced at $39/1M characters, a premium compared to Gemini 3.1 Flash TTS at $18.3/1M characters, and Inworld Realtime TTS 1.5 Max at $35/1M characters ➤ Speed: 105.5 characters per second, compared to 205 characters per second for Inworld Realtime TTS 1.5 Max and 26.3 characters per second for Gemini 3.1 Flash TTS See more details and listen to samples below 🧵

@androo_sy @chongz Sounds like capitalism is the game

. @mgarimella and @agupta_108 are two of the most special founders I've ever met. We're excited to co-lead @useactively's Series B and support them as they pull every revenue team into the future. There's no doubt that Intelligence-Led Revenue is coming, and it's been incredible to see companies that run sales on Actively (like Samsara, Attentive, Ironclad, Abnormal and Ramp) experience significant uplift in sales productivity across thousands of sellers.

Mihir Garimella @mgarimella

3 months ago

📣 We just raised our $45M Series B from @TCVTech and @firstharmonic, with participation from @BainCapVC, @firstround, and @AlkeonCapital. Sales is the most expensive function in most companies — and one of the hardest. Hundreds of accounts, different context, different

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@androo_sy Not a positive signal

Polymorph helps consumer & self-serve apps deepen engagement: they build live user profiles from in-app behavior and send custom messages at the right time and channel. Early customers already see 3.6x better reactivation rates. Congrats on the launch, @androo_sy, @DavidhNie, and Manas! ycombinator.com/launches/PZ3-p…

Today, we are announcing Proximal. Proximal is a research lab for data. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by great ideas and excellent software. We are excited about a world in which coding agents can autonomously run for multiple weeks, solve the hardest technical problems and discover novel ideas that advance progress in various domains of science and engineering. We believe that we are not far from this future, but that the biggest bottleneck preventing us from achieving it is training data. Many companies work on data, but most of them are approaching it the wrong way. Historical capability breakthroughs are the result of creative engineers discovering scalable data collection methods, not thousands of contractors manually writing task demonstrations. Inevitably, the potential impact of human data will become smaller and smaller as model capabilities increase: agents are already outperforming most humans in many domains - the number of experts that are capable of judging model outputs shrinks with every new model release. Proximal is a new data company. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures. We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.

@ProximalHQ Congrats @calvinchen !! Putting all the human data in the past

@Codie_Sanchez I’m curious what you looked for as background in this role?

Silicon Valley: let’s re-invent the todo list Us: something something about building AI that actually helps real people…

Melisa Tokmak @melisatokmak

8 months ago

.@Netic_AI on @technology discussing the industries who are the backbone of American economy (HVAC, plumbing, solar, auto, consumer health) and why they deserve frontier AI. Silicon Valley shouldn’t just serve itself. It should serve the real world. We’re here to do just that.

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No amount of tech optimism can change the weather to be sunny :(