Utsav Singhal

exiting whoop after 18 months. kept the strap, ditched the subscription. it now runs fully local on zhoop (my fork of noop). no fluff metrics, my data stays on my phone. ai killed vendor lock-in.

Visitors on Sprinto's website spend an average of 7 minutes conversing with an AI agent. Pranay Gondane, Head of Demand Gen at Sprinto, shares how Interact AI turned those conversations into conversions. He walked in a sceptic & ran a two-month A/B test. The results changed how people at Sprinto thinks about their website, and how their sales team starts every call. Sprinto is a compliance platform, so what it really sells is trust. For years, building that trust took a call with a rep. Now it starts the moment a buyer lands on the homepage. Pranay tells the rest in his own words. Props to @harshjndigital for setting this up and Nitin Gupta for producing the video.

Muse is the best Facebook product to ever exist. Its ability to find things on marketplace is S-tier amazing. It could also read everything for all of the groups that you are in, so its ability to provide knowledge is incredible.

We put @Meta Muse Voice Transcribe into production 48 hours after launch. @interact_ai runs a realtime voice agent on LiveKit, where the STT property that governs everything is whether the model knows when to keep listening. For weeks, visitors had been getting cut off mid-sentence. We traced it to the handoff between our STT and our turn detector. The detector scores every turn for completeness against a 0.56 threshold, and it was doing its job fine. AssemblyAI finalised mid-utterance, often twice per turn, so complete sentences kept reaching the detector as fragments. "How's it going?" scored 0.484. "Bye." scored 0.121. "Oh. Can you?" scored 0.0014. Nothing looked finished, so the agent kept committing early and interrupting. Two finals per turn also meant duplicate chat bubbles. Muse handles streaming ASR and endpointing in the same model. Every 80ms chunk emits either a word or a keep-listening token, and a final arrives only once the turn is over, post-processed and whole. Artificial Analysis's streaming snapshot has Muse at 3.06% WER against AssemblyAI's 4.02%, first partial at 127ms against 185ms, and $3.00 per 1,000 audio minutes against $7.50. Those numbers made the decision easy for us, but they measure a metric next to our problem. The architecture of Muse itself fixed the problem. Going to prod this early meant no LiveKit plugin existed, so we wrote one. (repo in comments) One trap for whoever integrates next: Muse sends speechEnd before speechComplete, and LiveKit commits the turn on END_OF_SPEECH with whatever text has landed by then. Hold the boundary until the final arrives. With whole finals guaranteed upstream, we retuned the timing: commit floor 0.55s → 1.2s VAD hangover 0.55 → 0.75s deactivation 0.35 → 0.25. We fixed "the agent keeps interrupting me" by making the agent wait twice as long. That only works because the endpoint now arrives declared instead of guessed. @interactaidev @SuyashKarn2 @ani1005sai

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

What if movies were not viewed but experienced? What if you could star in your own movie? What if you could change the ending? xp.koyal.ai - Choose your genre - Cast yourself and your friends - Change the storyline Create your own adventure. All in 15 minutes. Introducing Koyal Experiences. Generate for free now at xp.koyal.ai

I’m judging a @GrowthX_Club Hermes agent buildathon this weekend! Excited to meet & interact with the builders and tech folks of Mumbai. It will be interesting to see & evaluate products people will ship that day!

We made an RFE Scanner to review O-1 visa and EB-1 petitions and check for 97+ reasons for Requests for Evidence. Lots of folks hit us up when they are stuck with other law firms or questioning the strength of their case. This tool is a pretty good sanity check on what the gov't could respond with. Who wants to give it a try?