Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Vercel

Vercel is a platform designed for developers, providing speed, reliability, and scalability to create and deploy web applications. With built-in CI/CD, zero configuration, and deep integrations with popular Git providers such as GitHub, GitLab, and Bitbucket, Vercel streamlines the development process, making it easy for teams to collaborate and iterate on their projects.

General
Release date2015
AuthorVercel
TypeDeployment and hosting platform

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Vercel AI technology page Hackathon projects

Discover innovative solutions crafted with Vercel AI technology page, developed by our community members during our engaging hackathons.

Kraken Alpha Agent

Kraken Alpha Agent

Kraken Alpha Agent is an autonomous trading agent built for the Kraken Trading Performance track. The project focuses on xStocks strategy selection, risk-controlled execution, and transparent PnL reporting. The agent ranks xStocks candidates, runs a reproducible hackathon-window backtest, applies strict guardrails, and exposes the result through a public Vercel dashboard. The core demo shows the full workflow: signal ranking, dry-run execution, risk checks, backtest performance, and judge auditability. During the audited 13-19 May 2026 hackathon window, the backtest shows +19.18 USD PnL across 10 trades, 80% win rate, and 0.06% max drawdown. A 30-day baseline shows +33.56 USD across 138 trades with 53% win rate. Important transparency note: live xStocks execution was blocked at the Kraken venue/account level for the Cyprus EU account used in the hackathon. The project therefore reports xStocks PnL from reproducible backtests, not from live xStocks fills. A short crypto diagnostic session produced live fills outside the xStocks track, proving the engine, API key, IP setup, and execution pipeline work end-to-end. The system defaults to dry-run mode and requires triple opt-in before any live order. It also enforces 1.0x leverage, no shorting, reduce-only exits for futures, and strict rejection handling for Kraken responses. The goal is simple: make autonomous trading agents measurable, risk-aware, and auditable enough for judge verification.

Synapse Corp AI

Synapse Corp AI

Synapse AI is an enterprise-grade multi-agent workflow automation platform designed to simulate how real organizations operate using autonomous AI agents. The platform includes specialized agents such as HR, CTO, CFO, CEO, and Risk Management agents that collaborate intelligently to perform tasks like AI-driven interviews, candidate evaluation, operational analysis, workflow automation, and executive decision-making. Unlike traditional AI assistants or single-agent chatbots, Synapse AI focuses on collaborative intelligence where multiple AI agents communicate, reason, and coordinate together to solve complex organizational workflows in real time. The system supports multimodal interactions including text, documents, reports, and speech inputs, allowing users to simulate real enterprise environments and automate time-consuming operational processes. For example, users can conduct AI-powered HR interviews, upload business reports for executive analysis, or generate strategic recommendations through coordinated AI agent discussions. Technically, the platform is built using Next.js, FastAPI, Gemini AI, Speechmatics, Supabase, Docker, and Vultr cloud infrastructure. The architecture uses scalable distributed services, asynchronous processing, and modular AI orchestration to ensure reliability, low latency, and production-style deployment readiness. Synapse AI demonstrates how autonomous AI systems can function like real organizational teams, helping businesses improve operational efficiency, reduce repetitive manual work, accelerate decision-making, and create scalable intelligent enterprise workflows for the future of AI-driven organizations.

Justnewme

Justnewme

JustNewMe is a behavioral recovery platform built for Indonesian crypto traders who have experienced losses and want to break destructive trading patterns. The problem is real: 9 out of 10 retail traders lose money not because they lack knowledge, but because emotions take over. JustNewMe is here to change that. Our platform works in three layers. First, users take a 60-second Behavioral Profile that delivers a personal Risk Rating (1–15+), measuring how risky their trading behavior is. Then, through a structured 5-level recovery journey, users read curated articles, complete mini-games designed to train focus and emotional control, and reflect without judgment. Finally, an AI Companion acts as a 24/7 behavioral coach available anytime without requiring a deposit. We also offer Proteksi, a financial simulation tool that helps users project their financial future in IDR across 5–20 year horizons. And Kujaga provides digital identity protection for Indonesian users. The journey culminates in on-chain credentials blockchain-based proof of recovery milestones that users own and can share. Everything on JustNewMe is free. No deposit required. No credit card. No financial risk. Just growth.

Apohara CONSILIUM — Agent Governance OS

Apohara CONSILIUM — Agent Governance OS

THE PROBLEM. Italian banks face dual regulatory urgency: DORA (mandatory since Jan 17 2025 for 22,000+ EU financial entities — UniCredit, Intesa Sanpaolo as G-SIBs) + EU AI Act Article 14 (enforceable Aug 2 2026, fines up to €35M or 7% of global revenue). When Banca d'Italia asks "why did your AI decide X?", the bank needs tamper-evident, third-party-signed audit evidence. Existing tools (Galileo $73M, Lakera $30M, Patronus $20M, Credo AI) don't generate court-grade compliance evidence from production runtime. THE SOLUTION. CONSILIUM is a 3-tier open-source platform: (A) OSS Apache-2.0 entry — 9-vendor adversarial LLM ensemble + 78-rule deterministic judge layer + INV-15 Z3 SMT formal proof (UNSAT in 10.08ms). (B) Governance OS core — 4-stage SOAR pipeline + 6 compliance framework dashboards (EU AI Act, NIST AI RMF, ISO 42001, SOC 2, GDPR, NIST 800-53) + HMAC-SHA256 verdict chain + STIX 2.1 export. (D) CAICEP module — RFC 3161 TSA-timestamped verdict chain via freetsa.org (live evidence today) + roadmap to court-admissible attestation Q3 2026 via eIDAS QTSP partnership (Actalis Italia). LIVE EVIDENCE. apohara.dev/consilium/verify — interactive demo: paste any prompt → 9-vendor decision. Click any of 3 demo verdicts → verify RFC 3161 timestamp against freetsa.org independently. api.apohara.dev shows 10+ SOAR endpoints live, /v1/verdicts/{hash}/verify-timestamp returns valid:true with real Freetsa.org-signed token (1312 bytes, signed 2026-05-19T12:21:50Z). BUSINESS VALUE. TAM AI governance $3.59B by 2033 (36% CAGR). SAM EU regulated industries $400-800M by 2027. Initial wedge: Italian G-SIBs + Milan Fintech District (200+ companies) = $15-30M ACV in 12 months. Revenue: OSS free + Cloud Pro $299-999/mo + Business $2-5K/mo + Enterprise+CAICEP $25-200K/year. Exit reference: Cisco acquired Robust Intelligence Aug 2024 (~$350M, 451 Research). Built solo by Pablo M. Suarez (UNT, Argentina) in 8 days for Milan AI Week 2026.

Dementia ASR Screening

Dementia ASR Screening

Overview The Dementia ASR Screening & Multi-Factorial Risk Stratification Application is an advanced digital health portal designed to bridge the gap between AI-driven speech biomarkers and modifiable clinical risk factors. Built on a premium, mobile-first dark theme interface, the portal enables patients to undergo non-invasive, visual speech elicitation tests in seconds, generating comprehensive, weighted dementia conversion risk assessments. Key Features & Technological Innovation Lossless Acoustic Elicitation: Features a custom-built, client-side Web Audio API recorder that encodes raw microphone samples directly into lossless 16-bit Mono PCM WAV format. This ensures 100% processing compatibility with cloud-based Automatic Speech Recognition engines. Speechmatics SaaS ASR Integration: Orchestrates advanced speech analyses via Express backend proxies. By disabling disfluency filtering (remove_disfluencies: false), the portal natively captures and tags spoken filler words. Acoustic Pause Biomarker Extraction: Reads word-level transcript timestamps to automatically isolate and flag long conversational hesitation gaps exceeding 1.5 seconds, a key marker in acoustic cognitive screens. Wiley 2025 Multi-Factorial Stratification: Incorporates a validated clinical risk algorithm based on the October 2025 study in Alzheimer's & Dementia (DOI: 10.1002/alz.70870): Age Scoring, Cognitive Reserve, BMI,Depression Screening (PHQ-2), Weighted Clinical Risk Dial: Automatically weighs Vocal speech biomarkers (40% weight) against Clinical modifiable factors (60% weight) to render a composite, color-coded Stratified Risk Indicator (Low, Moderate, or High Risk). Comprehensive Session Review Timeline: Connects to a self-healing SQLite database to store serialized disfluency details, allowing patients to inspect past tests and review historical reports exactly as they looked live along with an Interactive Demographics Editor.

ArcadeOps Control Tower

ArcadeOps Control Tower

ArcadeOps Control Tower is a production cockpit for autonomous AI agents. Most AI agent demos stop at the final answer. In real companies, that is not enough. Teams need to understand what the agent planned, which tools it used, what risks appeared, what actions required approval, how much the run cost, and whether the result is safe enough for production. ArcadeOps turns an autonomous agent run into a clear, auditable mission workflow. The interface shows the mission objective, execution steps, tool calls, approvals, evidence, observability signals, and final result in one control tower view. The product is designed for enterprise teams that want to use autonomous agents across operations, sales, support, marketing, HR, research, and internal automation without losing control. Instead of treating agents as black boxes, ArcadeOps makes them observable, reviewable, and production-ready. For the hackathon demo, ArcadeOps shows how a team can launch an agent mission, follow its execution, review the audit trail, and decide whether the output is safe enough to move forward. Other agents execute tasks. ArcadeOps decides if they are safe enough to touch production.