Top Builders

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

Featherless

Featherless is a serverless platform designed for the deployment and execution of AI models, facilitating seamless integration with the Hugging Face ecosystem. By abstracting away the complexities of infrastructure management, Featherless enables developers to focus on their applications and AI models, offering an efficient and scalable solution for various AI-related tasks.

General
AuthorFeatherless
Relese date2020
WebsiteFeatherless
Documentationhttps://featherless.ai/docs/getting-started
Discordhttps://discord.com/invite/7gybCMPjVA
TypeAI deployment platform

Key Features

  • Serverless Architecture: Eliminates the need for manual server management and supports automatic scaling.

  • Seamless Hugging Face Integration: Provides effortless access to a vast library of pre-trained models from Hugging Face.

  • Support for Multiple AI Models: Compatible with large language models (LLMs), text-to-speech, image generation, and speech-to-text applications.

  • API-First Approach: Designed to easily integrate AI capabilities into new or existing applications through APIs.

  • Cost Efficiency: Operates on a pay-as-you-go pricing model, optimizing costs by charging only for the resources used.

  • Scalability and Performance: Capable of automatic resource scaling to handle varying levels of demand without manual input.

Use Cases

  • Application Development: Incorporate AI functionalities like text analysis, image processing, and speech recognition into web and mobile apps.

  • Data Science and Research: Deploy pre-trained models for data analytics, machine learning research, and rapid prototyping.

  • Content Generation: Utilize AI for automated content creation, including text generation, voiceovers, and image synthesis.

  • Customer Interaction Platforms: Implement conversational agents and chatbots powered by large language models.

  • Accessibility Tools: Create applications that assist with real-time text-to-speech and speech-to-text conversions, enhancing accessibility.

Get Started Building with Featherless

To start building with Featherless, visit the official documentation for comprehensive guides and API references. Begin by signing up for an account, exploring available pre-trained models, and following step-by-step tutorials to deploy your first AI model in a serverless environment. With Featherless, developers can create powerful, scalable, and cost-effective AI-driven applications with ease.

Featherless AI technology page Hackathon projects

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

OmniClaims Adjuster

OmniClaims Adjuster

OmniClaims Adjuster: El Futuro de la Liquidación de Siniestros En la actualidad, el procesamiento de reclamos de seguros es un proceso manual, lento y propenso a errores. OmniClaims Adjuster revoluciona el sector Insurtech mediante una arquitectura multi-agente totalmente autónoma construida sobre la familia de modelos Gemini 3.1 de Google. Diseñado para la AI Agent Olympics Hackathon, este sistema actúa como un ajustador de seguros experto. En lugar de depender de un solo modelo monolítico, el flujo de trabajo orquesta múltiples agentes especializados trabajando en paralelo y en tiempo real: 1. Agente de Extracción: Transforma las narrativas no estructuradas del cliente en datos estructurados estandarizados bajo esquemas estrictos de Pydantic. 2. Agente de Pólizas: Analiza los términos contractuales (PDFs) verificando límites, deducibles, exclusiones y coberturas con precisión milimétrica. 3. Agente de Visión (Daños): Aprovecha la multimodalidad nativa de Gemini 3.1 Pro para examinar fotografías de evidencias, evaluando la severidad y la congruencia del daño reportado. 4. Agente Antifraude: Detecta anomalías cruzando variables (ej. inconsistencias entre la historia del cliente y la evidencia visual) para emitir una puntuación de riesgo. 5. Agente Orquestador: Consolida todos los análisis en una decisión final holística (Aprobado, Rechazado o Revisión Manual). A nivel técnico, la plataforma cuenta con un backend en FastAPI y una interfaz Gradio con diseño premium glassmorphism. Priorizando la explicabilidad (AI Transparency), el sistema expone en la UI todo el Chain of Thought (Razonamiento) de los agentes. OmniClaims Adjuster no reemplaza al ajustador humano; lo empodera resolviendo automáticamente el 80% de los casos claros y entregando un dossier procesado de alta inteligencia para los reclamos complejos.

ATRIO Boardroom

ATRIO Boardroom

**Founders and family offices decide alone.** Big calls get either delegated to a single advisor (fast, single point of failure) or convened with a committee (slow, hard to schedule, hard to audit). ATRIO Boardroom is the middle option: an AI boardroom that holds a real debate, enforces a per-tenant mandate at machine speed, and replays every decision in six months. ## Try the live demo **URL:** http://45.77.52.54:8080 (Vultr, Frankfurt) Click **Demo founder** on the sign-in screen — one click, no email — then type a boardroom question. Watch 5 specialist AI agents stream real Gemini 2.5 reasoning live, ~25 s. Go to Treasury, propose a SHV-xStock buy, try to self-second-sign (API refuses), open a new tab as **Demo CEO**, second-authorise, trade executes against Kraken paper. Download the board-pack PDF. Open the audit log. Six minutes, full lifecycle. ## The wedge - **Debate**, not consensus-on-rails. Six personas with distinct system prompts, distinct model assignments (Gemini 2.5 Flash for specialists, 2.5 Pro for Counsel), and dissent-driven turn-taking. - **Enforce**, at the API. A per-tenant `Mandate v1` (permitted instruments, daily loss limit, single-instrument max, permitted side) is the only path to a treasury action. Two-party auth cannot be bypassed by the UI. - **Audit**, by default. Every turn, vote, model call, and state transition writes to an append-only log. Exportable as JSONL + manifest. ## Why this isn't slideware - **381 / 381** backend tests pass at **90.68 %** coverage - **24 / 24** demo-video structural + **14 / 14** OCR verification - **54 / 54** pitch-deck structural + **12 / 12** OCR verification - **5 / 5** live multi-agent debate against real Gemini in ~25 s (no mocks) - **19** real bugs found and root-caused during the sprint ## Sponsors used Vultr · Google Gemini · Featherless · Speechmatics · Kraken xStocks · LiveKit. License: Apache 2.0.