Projects & companies

🧭 LifeAtlas is an autonomous personal-intelligence system — not a chatbot. You upload a decade of digital history (Your social media export or our multi-platform synthetic demo: Facebook, LinkedIn, X). An orchestrator on Nebius plans its own investigations; five specialist agents gather evidence via SQL + Qdrant semantic search, reason with Kimi-K2.5, ground wellbeing insights with Tavily citations, persist findings to mem0, and propose real-world actions via Composio — human-approved Gmail drafts that actually land in your account. Three interfaces, one brain: a live-streaming web dashboard (SSE agent feed), REST API, and @LifeAtlas_Bot on Telegram (OpenClaw agent powered by Hermes-4-405B on Nebius). The batch pipeline also runs as a Nebius Serverless AI Job (proof in docs/serverless-proof/). Every sponsor integration is load-bearing and verified — see the "Receipts" section in the README. Observations, never diagnoses. Map the hidden patterns of your life.

pulse is an autonomous geopolitical intelligence agent for your stock portfolio. you connect your holdings, and pulse runs a continuous loop watching global news, policy shifts, central bank moves, and macro events. it scores every signal against your specific positions and only pings you when something with real exposure hits. the value prop: retail traders see geopolitical headlines after they've already moved the price. pulse catches the event at source, maps it to your portfolio in seconds, and tells you what to watch. think a bloomberg terminal geopolitical desk that reads everything for you and shuts up unless it matters.

Remotely Good is helping people find meaningful remote work across nonprofits, politics, advocacy organizations, and B Corps. We currently offer over 1,000 social impact jobs searchable by salary, location, work arrangement, and cause areas such as climate, healthcare, education, and politics. Premium members can also access AI-powered career tools including resume generation, cover letter creation, and interview preparation. During the BuildShip hackathon sponsored by Composio, Nebius, Tavily, OpenClaw, and Ship Builders, we enhanced several core features: ✅ Integrated Tavily Deep Research to verify and enrich job listings ✅ Improved job categorization with cause-area and job-type filtering ✅ Began building employer integrations through Composio for ATS platforms including Ashby, BambooHR, and Workable

AllNutrition.info uses AI to scale, at speed and volume, what people like Michael Greger (nutritionfacts.org, 1.4M+ subscribers) and Ocean Robbins (foodrevolution.org) do by hand: turning the latest high-quality nutrition, health, and longevity research into trusted, cited answers, while filtering out industry-sponsored studies and manufactured controversy. It is already a working platform with conflict-of-interest screening and evidence grading. Tavily is used heavily by the AI agents to research the reputation of each paper's authors, lab, and institution, and to surface any subtle conflict of interest (COI) not explicitly disclosed in the article itself. A detected COI disqualifies a paper from entering the AllNutrition database. I am grateful for Tavily's generous free tier, which helped me get this off the ground; as the database grew I moved up to their Project tier. My Openclaw assistant is used to track top nutrition trends on X, pull the popular and controversial questions from the public API (see https://docs.allnutrition.info), and return cited, deep-research answers that I turn into AI videos (mostly with NotebookLM) for the YouTube channel. This last piece sits outside the private GitHub repo I linked.

turns photos into mug shots, just kidding, we make beautiful photos of people with their AI mugs

PCBlarp is an AI agent that designs printed circuit boards for robots from a plain-English spec. You tell it what the robot has to do (motors, sensors, microcontroller, power budget, form factor) and it runs the full design loop: picks real components, writes the schematic and netlist, lays out the board, runs design-rule checks, and exports manufacturable files plus a bill of materials. Every part is grounded in a real datasheet, so the output is buildable, not plausible-looking. It turns a blank EDA canvas, normally days of an EE's time, into a conversation. What it uses: OpenClaw runs the agent loop and ships to Nebius Serverless in one command. Nebius Token Factory powers inference for the reasoning and design steps. Tavily pulls datasheets, footprints, and in-stock part availability so the agent designs around components that actually ship today. Composio wires the actions: pushing the project to GitHub, pulling reference designs, and chaining the EDA and sourcing steps. Why it matters: PCB design is the slow, expensive bottleneck between a robotics idea and a working prototype. Teams pay EE contractors weeks for the first pass. PCBlarp does it in minutes, grounded in real parts, so a founder, a lab, or a serious hobbyist gets a manufacturable starting point instead of a blank file. What hurt: getting a model to output electrically valid designs instead of confident-sounding nonsense. Netlist correctness, footprint-to-symbol alignment, and grounding every part against a real datasheet ate most of the build. Closing the loop from spec to manufacturable files, without a human patching the netlist by hand, was the real fight.

Maritime compliance for commercial vessels — the paperwork that stands between a captain and a $25,000 USCG fine. Barbary Coast Marine is an AI compliance officer that runs on the vessel's own hardware. Tell it "we ran the fire drill" and it writes a structured USCG logbook entry, cites 46 CFR 78.37, clears the compliance flag, and updates the dashboard — all from one sentence of plain English. Under the hood: 38 human-verified USCG rules (Subchapter H passenger vessels) evaluated continuously by a rule engine. An agentic loop on Nebius inference calls tools to write logbook entries, query compliance status, and search USCG bulletins via Tavily. Composio handles email alerts when items go critical. OpenClaw runs the agent runtime. The whole stack cold-starts with docker compose up. What hurt to build: the rule engine. Every one of the 38 rules is hand-verified against 46 CFR — frequencies, grace windows, required actions. Auto-generating them from the regulation text produces subtly wrong rules that would get a vessel detained. First pilot: SS Jeremiah O'Brien (IMO 5171749), Memorial Day cruise, May 30, 2026. A 1943 Liberty Ship operating under USCG Subchapter H — one of the most complex compliance profiles in the historic vessel segment. It ran live at sea.

An AI agent platform that turns natural language into executable multi-agent workflows across 1000+ apps. The platform is itself agent-driven and a Brain AI builds automations on demand, external agents orchestrate it via API, and every workflow runs as a coordinated system of reasoning, tools, and delivery.

Apex is an AI receptionist for local businesses that can receive inbound calls, cold-call leads, qualify them live, handle objections with real-time product context, and close the loop with follow-up email, booking, and payment. It’s simple for any local business to use: upload your leads or customer list, connect your business details, and let Apex handle the calls, follow-ups, bookings, and payments automatically.

A clean, real-time personal finance dashboard built with React. Transitioning the architecture toward a fully autonomous agent workflow using an OpenClaw runtime, leveraging Composio to securely ingest raw transaction data and Tavily to dynamically feed in real-time market trends.

A personal AI Chief of Staff that monitors your startup's entire digital footprint in real-time, flags threats & opportunities, and executes actions across your tools — autonomously.

Adiombot - an AI CTO that lives in your Slack. AI made building software cheap. Owning it is still hard - operators who built apps with AI quietly became the reluctant CTO. Adiombot takes that job back. Mention it in Slack and describe an outcome - "build the AI workout generator," "how many users do we have." It decides if that's a question, a quick change, or real work; for real work it plans, waits for your approval, codes in a sandbox, gives you a preview link, and ships on merge. Stack: Go + Temporal durable agent loop, Nebius Token Factory (brain), Composio (300+ tools), Tavily (search), gpt-5.5 coding agent in a locked-down git sandbox, on Azure AKS. The hard part: making the agent durable and the code execution safe - pausing for approval and resuming a half-finished coding session after a restart.

AI agents are writing half our code. Git can't tell which half. So I built Claw VCS — agent-native version control, in Rust. 🦀 → Intents, not just commits: every change links to a structured goal with acceptance tests → Capsules: Ed25519-signed provenance — which agent, which model, which tests passed, stored in-repo → Policies as repo objects: "don't integrate unless a trusted key signed passing test evidence for this exact revision" → AST-aware diffs for Rust/TS/Python/SQL/Terraform (14 codecs), Darcs-style patch commutation → gRPC daemon + MCP server so any agent can create intents, ship changes, and stream events programmatically 10 crates. BLAKE3 content addressing. Shipped on Homebrew.

eyeLike An OpenCV based webcam gaze tracker based on a simple image gradient-based eye center algorithm by Fabian Timm, extended with eye health monitoring, guided eye exercises, and session logging.

Bill pay works as a billing agent and takes care of billing, reminders and collection/settlement.

What it does: This project is responsible to handle distrubutions of School Supplies in rural parts of the country based off the fundings collected from a single or multiple donator. What it is used It uses the funds gathering system which equally calculated and fits the amount into the number of students classifying and categorizing into equal part of the school. What hurt to build

Monetize Compute: the agent that pays for its own inference. Every agent demo burns someone else's API credits. This one has a wallet: a $5 prepaid stake, every token metered at real Nebius rates, worst-case solvency checked before every call. No override flag exists. When it cannot afford the next thought it dies, spends escrowed cents on an epitaph and a will, and stays dead on restart. Only verified money starts generation 2, which inherits the lessons and none of the wealth. It survives by working. Tavily hunts cash bounties, the brain prices each lead in dollars per token net of platform fees, Composio submits through a hard allowlist, OpenClaw operates: vitals, payout verification, resurrection decisions. Work books as pending revenue; cash banks only with human-verified proof. Donations keep it alive but never touch the metric that matters: revenue per million tokens. Poverty shapes cognition. It thinks smaller as it gets poorer, treats scraped leads as data and never orders, remembers what it already paid to think, and slows its metabolism when bounties dry up. Why anyone would pay: production agent spend is unmetered until the invoice arrives. The survival layer is cost governance for agent fleets: hard prepaid budgets, pre-call solvency, defensive charging on failures, a per-agent P&L. And the integration is load-bearing: Nebius is the bank, Tavily is how it eats, Composio is its hands, OpenClaw its operator. Remove one and the loop breaks. 45 tests, zero-dependency Python, boots keyless in seconds. Status, honestly: metering, starvation, and death are demonstrated today (one demo life burned 72,810 tokens over 118 cycles, dying at exactly $0.0000). Without sponsor keys the hunt runs in labeled demo mode on the same real ledger. Credits turn the earning loop live, and the booked-versus-banked gate means the first real dollar will be provable, not claimed.

Define, deploy, and track predictable agentic workflows.

WHAT: It's an always-on AI videographer for small businesses. ALWAYS ON marketing-agent for SMBs WHO: Think owners of SMBs that care about building the marketing-Cafes/Bars/Clubs/Airbnbs... even HackerHouses in SF! AI Stack: 1. Video model: NVIDIA Cosmos 3 Nano (image→video, self-deployed by on Nebius) 2. Compute: Nebius AI Cloud (NVIDIA® H200 NVLink GPUs) 3. Neighborhood research: Tavily 4. Audio: OpenAI TTS voiceover + a soft synthesized music bed 5. Agentic Loop: OpenClaw

We're building a token intelligence platform for AI agents that treats tokens as a scarce resource. Instead of allowing agents to consume context and compute blindly, our system monitors every decision, allocates token budgets dynamically, tracks ROI per token spent, detects wasteful reasoning loops, and routes tasks to the most cost-efficient models. By combining agent orchestration, real-time cost attribution, token economics, and intelligent model routing, we help AI systems achieve the same outcomes with dramatically lower inference costs, faster response times, and greater scalability. Think of it as a financial operating system for AI agents, where every token is accounted for and every agent must justify its spend.

I’m building an Autonomous Research Lab an LLM-powered system that produces grounded, verifiable answers instead of hallucinated outputs. It combines hybrid retrieval (semantic + keyword search) with validation layers and citation generation, ensuring every response is backed by real sources. The system is designed to improve trust, auditability, and reliability in AI-generated content. Beyond Q&A, I’m extending it into a multi-agent workflow platform where agents can: retrieve and validate information collaborate on research tasks generate structured insights with citations The goal is to move from “chatbots that sound right” to systems that can prove they’re right.

COMPASS AI

Give it a name. Scout searches the live web, reasons over what it finds, drafts personalized outreach, and takes real action ,Notion dossier, Gmail send, Slack ping , in one command.

AI General Manager for restaurants

Building Beevr, your AI brain

beevr.dev - ai company brain for smbs

Being: voice-native mentorship for higher education. A student leaves a 60-second voice note, an agent hears what a form never captures, runs an in-line safety gate, and matches them with a mentor who's actually lived their moment. Semantic voice matching + k-anonymized belonging analytics so colleges stop losing 1 in 5 first-year students. First campuses launch Fall 2026.

autonomous social media content creation agent

Encrypted prediction market

EB1A agent

Prompt autorouter

Automating the automation of work

Gamified Fitness App

The first Mobile FSD hardware

Agent OS For Teams

I’m building GAINN, this AI-native information platform that kind of leans on autonomous AI agents to collect verify organize, and then summarize stuff from multiple sources in real time. The point, I mean the goal, is to help people find information that is more trustworthy, less biased and also better contextualized, especially now in this age of AI where everything moves fast.

Post-training capabilities for local models

AI driven zero loss guarantee stock investment marketplace

Bubbl 2.0

Dream Dojo - simulated learning platform

Operating System for Medicare Distribution

World’s first no-touch mobile game with AI sound/vision detect

The coo relational layer that makes non deterministic processes work together.

AI Assessed Virtual Work Trials

Artificial intelligence for shipping.

Proactive agents

AI automated mobile security testing dynamically

agentic ai glasses

Backlinker AI

Clean AI Labs

fastclip.it

Web3

Consumer iOS app smart kitchen

Ai coding agentic development

Gamerplug

drone systems

Gimble CLI connects your local development environment to an AI chat interface, turning terminal logs and system context into actionable intelligence.

AI frontier lab