NetLayer Labs

We built Traceon for the Open Agent Hackathon by @GenAI_Now, Track 02: The Agent That Can Explain Why. When products start catching fire, Traceon finds the root cause, proves every look-alike explanation wrong, and only then lets a named person act on the exact units at risk. Every test is a real SQL query on @Zetaris, run across five separate data sources, so anyone can read it and run it again. . @nvidia Nemotron plans the suspects, attacks its own verdict and explains it, but never computes a statistic. The code does that, and every step is hashed into a proof anyone can replay. On real NHTSA complaints it flags the Chevy Bolt EV battery-fire signal 14 days before GM's recall. Try it yourself: traceon.netlayerlabs.com

We at @NetLayerLabs built and pitched Atelier onsite in Rome 🇮🇹, at Link Campus University, for the AMD Developer Hackathon: ACT III, hosted by @AIatAMD on @lablabai. Atelier is an AI agent for independent fashion brands built on one rule: make only what's already sold. It reads the trend from a mood board and the designer's own sketch with Gemma 4 from @GoogleDeepMind, running on @AMD GPUs through AMD Token Factory, while a human creative director makes every taste call. Then the agents do the paperwork: a costed tech pack, RFQs to the mills in each mill's own language, and supplier quotes checked against the brand's rules, with the agent stopping for a person when a quote breaks one. Evolus orchestrates the business agents that send the RFQs, read the quotes and issue the purchase order. The approved design goes live as a real Shopify pre-order, and the purchase order goes to the mill only once pre-orders clear the threshold, so nothing gets made that nobody asked for. On 17 Oct, one live run went all the way from mood board to purchase order on real services, and the demo film shows it. Try it: atelier.netlayerlabs.com .. @LisaSu @jackhuynh

Introducing Fitr: put your word on the line. Most of us don't lack workout plans; we lack consequences. Fitr changes that on the Solana Seeker: you stake your own SKR on a daily goal, and the AI on your phone counts every rep. Your video never leaves the phone. The pose AI holds each rep to a joint-angle standard, half reps don't count, and random live checks ("raise one hand above your head") make a pre-recorded clip useless. When you hit your goal, the server records it onchain. The next morning you claim your stake back plus a share of what the no-shows forfeited. Yesterday I staked 5 SKR, did my squats, and claimed 15 SKR: my stake plus the 10 SKR daily sponsor bonus. Bring your crew: you get your own onchain pool and an invite link, and whoever skips pays the ones who show up. It's live on @solana mainnet with real money. No single key controls the funds: the program and pool are owned by a Squads 2-of-3 multisig, and the build is verifiable. Fitr's only fee is 5% of forfeited stakes. Training is free on any Android phone, and staking is Seeker-only. Download the APK at fitr.day 👇 Built by @NetLayerLabs for the CLOCK IN hackathon - @solanamobile @RadiantsDAO @peronif5 @m_it @RossAngeles @CryptoMagellan

Introducing Cerebr: a neural processor, taped out onchain We built a compiler that turns neurons into NAND gates and tapes them out on X Layer via TapeOut. Every transistor is a synapse; every circuit is a neuron anyone can run with eval(). → Train a network in your browser and tape it out → Play tic-tac-toe against a 590-gate neural net (it never loses) → Watch an autonomous agent whose brain is a 19-gate neuron decide onchain every 10 min → Grab a starter kit: 16 free NAND to build your first neuron Built for the TapeOut Genesis Transistor Hackathon by @Ignixbot on @XLayerOfficial mainnet - cerebr.xyz Demo video below 👇