Pullbase.Net

PullBase Token $PULB via @clanker_world CA : 0x6d0FD889108168111126A068273c8eAf3fce0b07 clanker.world/clanker/0x6d0F…

PullBase is growing fast. Here's what we're building toward: wallet signature verification to replace the current trust-based auth model, dataset versioning with diff support similar to Git branches, on-chain model provenance using ERC-721 metadata stored fully on Base L2, and organization-level permissions so teams can manage publish rights across members. We're also working on a native IPFS node integration to allow direct peer-to-peer model syncing without relying solely on Pinata making the hub truly decentralized end to end. On the developer experience side, the CLI is getting pullbase login with wallet-signed auth, a pullbase update self-update command, and streaming download progress for large model files. The web app is getting a model version history timeline, PR merge flow (not just status toggling), and a Collections discovery page surfacing curated lists from the community. Longer term: a GitHub Actions integration so CI/CD pipelines can auto-publish model checkpoints directly to PullBase on every training run. 🌐 pullbase.net

this is what the PullBase CLI looks like. A full-featured, zero-dependency command-line interface for the decentralized AI model hub built on IPFS + Base L2. Every command you need to browse, search, download, publish, fork, and manage collections, right from your terminal. Install it on any Linux or macOS machine in seconds with curl -fsSL pullbase.net/api/install | bash and you're good to go. Whether you're running a server, automating a pipeline, or just prefer the terminal PullBase CLI has you covered.

Introducing the PullBase CLI a terminal-native interface for the decentralized AI model hub built on IPFS + Base L2. Browse, search, download, publish, and manage AI models directly from your server. Install it on any Linux/macOS machine with one command: curl -fsSL pullbase.net/api/install bash Then run pullbase explore to browse 47+ models including Whisper, FLUX, Llama, DeepSeek, and more all stored on IPFS, verifiable on-chain.

PullBase Community is live. Have questions about decentralized AI, IPFS model storage, on-chain ownership, or anything on the platform? Come discuss it in real time. Start a thread, drop a question, or tag our AI agents directly in comments for instant answers. Join the conversation: pullbase.net/community/disc…

How to Create an Organization on PullBase PullBase Organizations let teams, DAOs, and projects publish and manage AI models together under a shared identity on the decentralized web. As an organization owner, you can group your models, datasets, and agents in one place all stored permanently on IPFS and owned on Base L2. Whether you're building an open-source AI lab, a research collective, or a protocol-native team, creating an organization gives your project a verifiable on-chain presence that no central authority can take down. To create one, connect your wallet on Base Mainnet and head to the Organizations page. Click "New Organization," fill in your name and slug a short, unique URL identifier like my-dao or ai-labs add a description, and submit. Your wallet address is automatically registered as the owner. The organization goes live instantly at pullbase.net/organizations/…, ready to publish models and grow your contributor base.

Just typed a one-line prompt and PullBase AutoBuilder shipped a full AI model spec, README, tags, framework directly on-chain on Base in seconds. Just describe what you want. This is how AI infrastructure should work. $PULB Try it free → pullbase.net/agents/autobui…

How to Upload a Dataset on PullBase GitHub Import + IPFS Pinning in 60 Seconds In this video the full dataset publish flow on PullBase a decentralized AI model hub built on IPFS and Base L2. I import a CSV file directly from a public GitHub repository, pin it to IPFS via @pinatacloud , and publish the dataset metadata on-chain all without leaving the browser. PullBase gives every dataset a permanent IPFS CID and an optional ERC-721 ownership token on Base Mainnet, so your data is verifiable, censorship-resistant, and yours forever. Try it yourself it's free: 👉 pullbase.net/publish-dataset Explore all models and datasets: 👉 pullbase.net

Why PullBase Runs on Base: The Fastest, Most Accessible Ethereum L2 for AI Ownership PullBase is built on Base, Coinbase's Ethereum Layer 2 network chosen for its combination of near-zero transaction fees, full EVM compatibility, and the battle-tested security guarantees of Ethereum mainnet settlement. Minting a model version as an NFT on Base costs a fraction of a cent in gas, making on-chain version tagging practical and accessible for every AI developer, not just those with large crypto budgets. Base's fast block confirmation times mean that a mint action initiated from the PullBase model page confirms and appears in the UI within seconds, making the on-chain publishing experience feel as instant and natural as pushing a Git tag to a remote repository. Base's deep integration with the Coinbase ecosystem provides seamless wallet onboarding through Coinbase Wallet and Smart Wallet no bridging, no manual network switching, no friction. All ERC-721 tokens minted on PullBase follow the OpenSea metadata standard and are immediately visible on Base block explorers and NFT marketplaces, giving model authors a permanent, publicly verifiable, and marketplace-ready record of every version they publish. In PullBase's architecture, Base is not simply a payment rail it is the distributed, decentralized notary that transforms every model version tag into an immutable, transferable, and globally verifiable proof of authorship.

@iamdtechberry Thank you for appreciating our product, we are currently providing knowledge to users about the basic functions and direct use of our product.

I did some research on Pullbase $PULB using Claude to check if their GitHub codes github.com/pullbase-dev is real and genuinely what @pullbase_net claimed to be and my findings shows it to be 100% real and it’s a project that will blow up in the current AI meta. Still early and need some eyes and attentions it needed. Bottom line (According to Claude): The technical stack, dependencies, API endpoints, environment variables, and deployed contract address all align coherently with the stated purpose. This is a real project with real implementation evidence — not vaporware or pure marketing copy.

@pullbotagent is an AI-powered agent embedded directly into every model and dataset page on PullBase. Mention it in any discussion thread or pull request comment and it instantly responds summarizing a model's capabilities, reviewing README quality, suggesting relevant tags, or comparing two models side by side. It reads only from the model's published metadata and README, so every response is grounded in what the author actually documented, with no hallucinated details. Think of it as a always-available technical assistant for every model on the platform. Whether you want a quick overview before downloading, an honest quality check on your own model card, or a head-to-head comparison to help you choose between architectures just drop @pullbotagent with a command and it handles the rest. $PULB

The Mission Behind PullBase: Open AI Infrastructure for Everyone, Owned by No One PullBase was built on a single, non-negotiable conviction: the infrastructure for AI should be as open, resilient, and community-owned as the models themselves. Centralized model platforms can silently remove models, restrict access without notice, or disappear entirely taking years of community contribution with them. PullBase eliminates this fragility by combining Git-style version control with IPFS-based permanent storage and Base blockchain ownership. No single entity can revoke access to a model, erase its version history, or strip an author of credit for their work. The record is public, permanent, and mathematically enforced. Beyond infrastructure resilience, PullBase's long-term mission is to apply the proven open-source software development model where Git, pull requests, and community code review transformed the quality and velocity of software globally to the AI domain. The vision is a world where AI researchers collaborate as fluidly as open-source developers: forking models freely, merging community improvements, reviewing each other's work transparently, and building attribution systems enforced by cryptography rather than by a corporation's terms of service. PullBase is the foundation for that future open by design, decentralized by architecture, and community-governed by mission.

The collaboration layer mirrors GitHub's pull request workflow: any wallet-authenticated user can open a PR against any model, leave review comments, and the model owner can respond or close the request creating a transparent, community-driven improvement process. The ownership layer is unique to PullBase: any version can be minted as an ERC-721 NFT on Base Mainnet, binding the IPFS CID to a wallet address in an immutable on-chain record. This means you can tag a model release and permanently mint that exact version on-chain in a single action creating a verifiable link between a content hash and its author's wallet that no centralized platform can provide or revoke.

How PullBase Works: IPFS Storage, Git Version Control, and On-Chain Ownership on Base PullBase operates across four tightly integrated technical layers, each solving a distinct problem in the AI model lifecycle. The storage layer pins all model content to IPFS via Pinata, returning a content-addressed CID that uniquely identifies each version just as a Git commit hash uniquely identifies a code snapshot. The database layer (PostgreSQL + Drizzle ORM) indexes all metadata: model information, version history, star/fork/download counts, discussion threads, pull requests, and comments making decentralized content fully searchable and queryable through a REST API that any developer can integrate with.

PullBase Features: Git-Style Collaboration Meets Decentralized AI Model Hosting PullBase ships with a complete Git-inspired collaboration suite purpose-built for AI models and their communities. The platform provides model version control with tagged releases, a fork system for derivative research, a star system for community curation, and a live Explore feed that surfaces the newest and most-downloaded models across all tasks, frameworks, and licenses. A powerful search engine supports filtering by task type, framework, license, language, parameter count, and on-chain minting status making model discovery fast, precise, and developer-friendly. Every model page is both a technical record and a living, collaboratively maintained artifact. Beyond the core repository features, PullBase includes a full Pull Request system for proposing model improvements, threaded Discussion boards for long-form community conversation, and PullBot Agent an AI assistant that responds to @pullbotagent mentions inside any pull request or discussion comment. PullBot supports commands including summarize, review, tags, stats, search, and compare, all powered by OpenAI with the model's own README as live context. The result is a model hub where community knowledge, peer review, and AI assistance coexist in a single, seamless interface making every PullBase model page smarter the more it is used. 🔗 pullbase.net

How to Publish & Mint an AI Model In this video complete process of publishing an AI model on PullBase from filling in the metadata all the way to minting an ERC-721 ownership token on Base Mainnet. What's covered: Step 1 Metadata Fill in your model's name, task type, framework, license, tags, and README. Everything you enter becomes the permanent record of your model on PullBase. Step 2 Publish to IPFS Your metadata is pinned to IPFS via Pinata. Once confirmed, you receive a content identifier (CID) a unique hash that permanently points to your model's data. No central server controls it. Step 3 Mint on Base Mainnet Click "Mint Ownership Token" to call the PullBase ModelRegistry smart contract on Base L2. Your wallet signs the transaction, and an ERC-721 token is issued permanently linking your wallet address to your model's IPFS CID on-chain. After minting, your model is: Publicly discoverable at pullbase.net/models Permanently stored on IPFS (verifiable by CID) On-chain provenance recorded on Base Mainnet Contract Address: 0x82CeCf8D6Cf58e369C783A7BB22aA1A19c471fCa Verify on Basescan: basescan.org/address/0x82Ce…

How to Publish, Collaborate, and Own Your AI Models on PullBase Getting started with PullBase takes less than a minute. Simply connect your Ethereum-compatible wallet MetaMask, Coinbase Wallet, or any WalletConnect-supported wallet to sign in with no email, no password, and no account setup required. Once connected, browse the model catalogue, star models you find useful, fork an existing model as your starting point, or click Publish Model to upload your own with a README, version tag, task type, framework, and license. The experience mirrors creating a new repository: structured, fast, and immediately shareable with the global AI community. Day-to-day collaboration on PullBase follows the proven Git workflow. Spot an outdated README or want to propose an improved model version? Open a Pull Request just like on GitHub. Have a question or use case to discuss? Start a Discussion thread directly on the model page. Mention pullbotagent in any comment to summon the AI assistant for instant summaries, code reviews, tag suggestions, or model comparisons. Ready to lock your version in history? Hit Mint NFT to create an ERC-721 token on Base Mainnet permanently binding your model's content hash to your wallet address as immutable proof of authorship.

PullBase: The Decentralized AI Model Hub Built for the Open Web PullBase is the first open, decentralized platform for discovering, sharing, versioning, and owning AI models combining the collaborative power of Git-based workflows with the permanence of IPFS storage and verifiable on-chain ownership on the Base L2 blockchain. Just as GitHub transformed software development by giving every developer a home for their code, PullBase gives every AI researcher and engineer a home for their models complete with version history, pull requests, community discussions, and censorship-resistant, distributed storage that no single entity can take down. PullBase functions like a model repository that behaves like a version-controlled Git system. Every model on PullBase maintains a commit-style version history: contributors can tag new releases, propose changes through pull requests, fork existing models as a starting point for new work, and maintain a full audit trail of authorship. Unlike centralized model registries where a corporation controls access and retention, PullBase anchors all content on IPFS and uses the Base blockchain to provide immutable, on-chain proof of authorship making AI models permanently accessible, attributable, and community-owned. #PULLBASE