Top Builders

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

ElevenLabs

ElevenLabs is a voice technology research company, developing the most compelling AI speech software for publishers and creators. The goal is to instantly convert spoken audio between languages. ElevenLabs was founded in 2022 by best friends: Piotr, an ex-Google machine learning engineer, and Mati, an ex-Palantir deployment strategist. It's backed by Credo Ventures, Concept Ventures and other angel investors, founders, strategic operators and former executives from the industry.

General
Release date2022
AuthorElevenLabs
TypeVoice technology research

Products

Speech Synthesis

Speech Synthesis tool lets you convert any writing to professional audio. Powered by a deep learning model, Speech Synthesis lets you voice anything from a single sentence to a whole book in top quality, at a fraction of the time and resources traditionally involved in recording.

VoiceLab

Design entirely new synthetic voices or clone your own voice. The generative AI model lets you create completely new voices from scratch, while the voice cloning model learns any speech profile from just a minute of audio.

Resources

Useful resources on how to build with ElevenLabs

ElevenLabs - Helpful Resources

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ElevenLabs AI technology page Hackathon projects

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

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.

Verdict

Verdict

Every hackathon is a courtroom. Verdict is the agent that's read every case file before you walk in. Verdict is an autonomous Gemini-powered agent system with two modes: SCOUT — Point it at any hackathon URL, or feed it submissions directly. The agent enriches each project with AI-written descriptions and extracted links (GitHub, demo, video), clusters them by theme, and produces a competitive intelligence report: who's building what, what gaps no one is filling, and which dark-horse project is positioned to win. JUDGMENT — Bring your own judging rubric in plain English ("novelty 40%, technical depth 30%, real-world impact 30%") and a batch of submissions from any source: scrape a URL, upload a file (CSV, JSON, Markdown, PDF, TXT), or paste them manually. Verdict scores every submission against your rubric and delivers a ranked leaderboard with per-criterion scoring and judicial verdict lines. Both modes stream the agent's reasoning live via Server-Sent Events to a courtroom-themed interface — you watch the agent think, fetch, deliberate, and rule in real time. The core is a function-calling agent loop on Gemini. The reasoning model (Pro tier) handles planning, clustering, and scoring. The fast model (Flash tier) handles high-volume tool steps: link extraction, description writing, file parsing, and rule parsing. Users can swap either model from the UI. Every ruling gets a permanent shareable URL — pass verdicts around like screenshots. Tech stack: Python · Flask · Gemini (function calling, dual-model) · Server-Sent Events · BeautifulSoup + Playwright · pypdf · pandas · gunicorn + gevent. Designed to deploy on Vultr Ubuntu 24.04. Built solo for the AI Agent Olympics at Milan AI Week 2026.

trading ai agent

trading ai agent

Most trading bots do the obvious — NVIDIA earnings beat, buy NVIDIA. By the time they act, the edge is gone. This agent thinks differently. It uses second-order reasoning — when NVIDIA beats earnings, it asks who else benefits? and trades ARM (chip architecture) and TSMC (manufacturer) before the crowd catches up. What it does: Monitors 6 live RSS news feeds continuously Uses Groq LLaMA 3.3 70B to reason about market implications Passes every trade through 10 intelligence layers: sentiment scoring, confidence thresholds, volatility checks, position sizing, stop-loss, brokerage fee simulation, portfolio awareness, and more Executes trades autonomously on Kraken xStocks Logs every decision with full reasoning — why it bought, why it skipped, what sentiment score triggered it Tech Stack: Groq LLaMA 3.3 70B · Kraken xStocks · Yahoo Finance (live prices) · Flask + JS dashboard · Persistent JSON storage Live results at time of recording: Portfolio $10,058 · P&L +$58.84 after fees · 4 active positions (NVDA, ARM, AAPL, AMD) Built solo by Varun — AI Agent Olympics · Milan AI Week 2026 🔗 github.com/AVarun3204/trading-agent

nuncio

nuncio

nuncio is an autonomous agentic pipeline built to solve one of the biggest friction points in enterprise sales and recruiting: generic outreach. While personalized video can increase reply rates by 3–5x, it has traditionally been impossible to scale. nuncio changes that by turning any public social profile into a hyper-personalized 1:1 video pitch in under 90 seconds. The platform operates as a linear, autonomous workflow. TinyFish first enriches and cleans public profiles from LinkedIn, X, and other sources to extract relevant context and achievements. An AI coaching agent then identifies strong personalization angles and helps tailor the message toward goals like sales, recruiting, or investor outreach. Claude 3.5/Qwen3 synthesizes the profile data, selected angles, and sender brief into a coherent script that references the target’s real work. The Melius MCP creative agent assembles visuals and thumbnails on a persistent canvas, while HeyGen’s Video Agent renders a structured three-scene video using the sender’s cloned voice and avatar. Finally, the video is delivered through a branded landing page with auto-generated captions and one-click translation into 8+ languages. Built for the intelligent enterprise, nuncio goes beyond static templates by enabling sales and HR teams to deliver outreach that feels deeply researched and genuinely human. With built-in credit protection, rate limiting, and an open production architecture powered by Turso and Vultr, nuncio is designed as a scalable foundation for automated yet truly personal enterprise communication.

Contract Coach

Contract Coach

Most college and pro athletes are 18–22 years old, signing high-stakes deals worth millions without legal representation. Professional legal review costs $400–$800/hour, and NIL agents remain unregulated in most states. This leaves athletes vulnerable to predatory clauses that can steal their IP rights, lock them into unfair exclusivity, or demand massive buyouts. 🛡️ The Solution ContractCoach acts as a digital guardrail. It uses advanced AI to: Analyze Native PDFs: Reads legal documents directly using Gemini's native multimodal processing. Flag Risks: Identifies predatory clauses (exclusivity, liquidated damages, IP sublicensing) based on a deep sports-law risk taxonomy. Speak Athlete: Translates legalese into blunt, direct English—no corporate jargon. Interactive Chat: Allows athletes to ask follow-up questions about specific clause exposure. 🏗️ Architecture Frontend: React 19 + TypeScript + Vite. Styling: Tailwind CSS 4.0 + Motion for editorial-grade animations. AI Core: Google Gemini 3.1 Pro (native multimodal support for PDF/Images). Protocol: Uses JSON Mode for reliable structured analysis and a stateful chat interface for follow-ups. 🚀 Key Features Instant Risk Verdict: Favorable, Mixed, or Predatory status with punchy summaries. Taxonomy-Driven Analysis: Scans for 10 critical red-flag categories. Market Comparison: Benchmarks terms against current industry standards. Sample Mode: One-click loading of a predatory contract for demonstration.