Devanshpawan

Looking for amazing software engineers who can join @smallest_AI as GTM engineers in our BLR office. Ideal profile would be someone who has seen a software product at scale but love talking to customers and solving their problems. The bar for technical expertise is incredibly high.

@_akashnagaraj @smallest_AI @StalwartCoder @harshitajain561 @itsnotraunaq @indurajaditya @himanshustwts

@Devanshpawan1 @smallest_AI @StalwartCoder @harshitajain561 @itsnotraunaq @indurajaditya @himanshustwts Was almost there 😭

Say hi to the growth team @smallest_AI

@apoorvcodes @smallest_AI @StalwartCoder @harshitajain561 @itsnotraunaq @indurajaditya @himanshustwts He is also happy and sleep deprived

@Devanshpawan1 @smallest_AI @StalwartCoder @harshitajain561 @itsnotraunaq @indurajaditya @himanshustwts @StalwartCoder why do u look so dead bro

Who is the most talented person you have met recently?

@eshaanpawan @itsumeshk @kamath_sutra @itsnotraunaq Made on runable? Share prompt pls?

@itsumeshk @Devanshpawan1 @kamath_sutra @itsnotraunaq What do ya'll think?

Please stop posting AI slop. Introducing AI Carousel on Runable. Your brand. Your colors. Your story — turned into a polished carousel in seconds. Reply “carousel” + RT, and we’ll make one for your brand. Free.

51% of people have abandoned a business entirely because of how the AI voice sounded. Lightning v3 covers 15 languages, 71% of the global population, and outperforms OpenAI on naturalness 76% of the time. Let that sink in. The entire voice industry has been solving the wrong problem - making voices that read text well instead of voices that can hold a conversation. Those are two completely different things. Reading text is clean. Predictable. Easy to benchmark. Conversation is messy. It has rhythm, hesitation, breath. Your pacing changes when you're thinking. Most TTS models fall apart the moment you put them in a real back-and-forth. They sound great in a scripted demo and robotic on a live call. We built Lightning v3 from scratch for the hard version of this problem. It sounds like it's thinking. It switches between languages mid-sentence the way a real bilingual person does. It clones your voice from a 5-second clip across all 15 languages. Want to try it? Link is in the comments.

We're launching RunClaw to kill OpenClaw. OpenClaw costs $700 to set up. RunClaw costs $1 no setup. > OpenClaw can’t build you a website > Can’t generate a video > Can’t make a slide deck > Has 9 security CVEs RunClaw does all of it. Better agents. More secure. Always in your DMs. Try it now for $1.

Last weekend was our first conference appearance in SF at the AI+ Renaissance Conference as the Title sponsor. @kamath_sutra took the stage at the Voice AI panel, and we launched Hydra – our Async Thinking Multimodal LLM – live in front of the room. This is the statement we opened with: “we are not close to passing the Turing test in voice. Not even for a single speaker, in a single language, in a single use case. And that's exactly the problem we're here to solve” The gap between AI voice agents and human conversation isn't subtle. Today's agents listen, then think, then respond. Humans do something fundamentally different – they think while listening, act while listening, and respond with contextual emotion. That's not a feature gap. That's an architectural gap. And offline LLMs can't be retrofitted to close it. That's the conviction behind everything we build at smallest.ai. Small, real-time models – built from the ground up for async inference, partial context, and sub-500ms multimodal response – are the path to human-level voice intelligence. Not bigger models. Faster ones. Hydra is our step in that direction: an async thinking Speech-to-Speech model that listens and reasons in parallel, with ~50ms latency. Paired with our Lightning TTS, Lightning ASR, and Electron SLM (which outperforms GPT-4.1 on realtime conversational tasks) – the full stack is finally coming together. A massive thank you to Joshua and @lynn_aisv for building @Aiplus__ into the kind of event where everyone can have meaningful conversations, and learn from those around them. And to @Sky9Capital and @Topify_AI for co-organizing the afterparty with us – 300+ signups speaks for itself. That kind of momentum doesn't happen without people who care about the ecosystem as much as the technology. We're just getting started. The question we left the room with: Attention is all you need -but attention on what?

@sailorworks Hey sahil, DM me. Lets have a conversation!

I like whatever smallest ai is doing.

@Devanshpawan1 Oh no! wasn't for you to see 😅

Dropping tomorrow.

Best AI-native GTM guy in Bangalore right now. If you’re looking to scale a B2C ai product, reach out to his claude assistant at minieshaan@runable.com and he will book a slot. :)

We generated 20M+ views in 2 weeks through AI UGC. Total cost: $2,000. The same number of views with influencers would've cost us $40,000+. The story 🔽

@contextkingceo It really did!

guys i think the launch worked

@contextkingceo To the moon! Love the fact you finally changed the name💪

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

Really love Nishkarsh’s vision and the team building it. Excited to see this scale.

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