safe-airdrop
A Safe app for distributing tokens from CSV transfer files.
Stars: 72
The Gnosis Safe - CSV Airdrop is a Safe App designed to simplify the process of sending multiple token transfers to various recipients with different values in a single Ethereum transaction. Users can upload a CSV transfer file containing receiver addresses, token addresses, and transfer amounts. The app eliminates the need for multiple transactions and signature thresholds, streamlining the airdrop process. It also supports native token transfers and provides a user-friendly interface for initiating transactions. Developers can customize and deploy the app for specific use cases.
README:
Send arbitrarily many distinct tokens, to arbitrarily many distinct accounts with various different values from a CSV file in a single Safe transaction!
Have you encountered the painful task of sending out multiple token transfers to several recipients with various different values? Not only do you have to have to initiate multiple transactions, but then each transaction requires a signature threshold followed by the time it takes to have each transaction mined... Well these days are over! Finally a Safe App which allows you to transfer various ERC20 tokens to arbitrarily many recipients for varying amounts in a single Ethereum transaction. Its as simple as uploading a CSV "transfer" file and submitting a single transaction.
In this article, we demonstrate how to use the Gnosis Safe - CSV Airdrop
If you find this app useful for your onchain activities or would like to contribute, donations are welcomed at
0xD011a7e124181336ED417B737A495745F150d248
This can also be done directly in the the app on your next airdrop via the "Donate" button!
The current version is deployed on IPFS at https://cloudflare-ipfs.com/ipfs/QmUFKPZSn73LiwznQ3PVWQXpcaWVdYrSM6c5DES2y24EYd
For older deployed versions, you can find the IPFS hash under Releases.
On mainnet or rinkeby, you can navigate to the Gnosis Safe Apps tab and load the app from "Add Custom App", then follow the instructions below to perform your first airdrop.
Note that, the mainnet version relies on the Uniswap Default Token List for token icons and number of decimal places. If you plan to airdrop a token that is not a member of this list, you will have to provide the number of decimal places as the decimals column on each unlisted token transfer in your transfer file.
Transfer files are expected to be in CSV format with the following minimally required columns:
- receiver: Ethereum address of transfer receiver.
- token_address: Ethereum address of ERC20 token to be transferred.
- amount: the amount of token to be transferred.
An example transfer file would look as follows:
token_address,receiver,amount
0xd0dab4e640d95e9e8a47545598c33e31bdb53c7c,0x1000000000000000000000000000000000000000,0.02
0xa7d1c04faf998f9161fc9f800a99a809b84cfc9d,0x3000000000000000000000000000000000000000,0.04
0x5592ec0cfb4dbc12d3ab100b257153436a1f0fea,0x5000000000000000000000000000000000000000,0.06
0x4dbcdf9b62e891a7cec5a2568c3f4faf9e8abe2b,0x7000000000000000000000000000000000000000,0.08
0x784b46a4331f5c7c495f296ae700652265ab2fc6,0x9000000000000000000000000000000000000000,0.10
Here we have 5 transfers, each for a different token, going to a different receiver and for different amounts. On the rinkeby network, these tokens are GNO, OWL, DAI, USDC and GUSD respectively.
Since native tokens do not have a token address, you must leave the token_address column blank for native transfers. An example transfer file containing only native transfers is here. Of course, these files can be mixed as follows;
token_address,receiver,amount
0xe91D153E0b41518A2Ce8Dd3D7944Fa863463a97d,0x206a9EAa7d0f9637c905F2Bf86aCaB363Abb418c,1
,0x7f01D9b227593E033bf8d6FC86e634d27aa85568,0.0002
which (on xdai) represents a transfer for 1 wxDai and 0.0002 native xDai.
Navigate to the APPS page from within your Gnosis Safe MultiSig. If you don't already have a Safe, you can create one for free!
- Open up the CSV Airdrop App, which looks like this:
- Upload your Transfer File and verify that the tokens, recipients and amounts are displayed as expected.
- Click Submit, execute and wait for your transaction to be mined.
A successful transaction will look like the following example on etherscan:
Install dependencies and start a local dev server.
yarn install
cp .env.sample .env
yarn start
Then:
- If HTTPS is used (by default enabled)
- Open your Safe app locally (by default via https://localhost:3000/) and accept the SSL error.
- Go to Safe Multisig web interface
- Create your test safe
- Go to Apps -> Manage Apps -> Add Custom App
- Paste your localhost URL, default is https://localhost:3000/
- You should see Safe Airdrop as a new app
- Develop your features from there
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for safe-airdrop
Similar Open Source Tools
safe-airdrop
The Gnosis Safe - CSV Airdrop is a Safe App designed to simplify the process of sending multiple token transfers to various recipients with different values in a single Ethereum transaction. Users can upload a CSV transfer file containing receiver addresses, token addresses, and transfer amounts. The app eliminates the need for multiple transactions and signature thresholds, streamlining the airdrop process. It also supports native token transfers and provides a user-friendly interface for initiating transactions. Developers can customize and deploy the app for specific use cases.
airbroke
Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.
amazon-transcribe-live-call-analytics
The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.
WilmerAI
WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.
serena
Serena is a powerful coding agent that integrates with existing LLMs to provide essential semantic code retrieval and editing tools. It is free to use and does not require API keys or subscriptions. Serena can be used for coding tasks such as analyzing, planning, and editing code directly on your codebase. It supports various programming languages and offers semantic code analysis capabilities through language servers. Serena can be integrated with different LLMs using the model context protocol (MCP) or Agno framework. The tool provides a range of functionalities for code retrieval, editing, and execution, making it a versatile coding assistant for developers.
AppAgent
AppAgent is a novel LLM-based multimodal agent framework designed to operate smartphone applications. Our framework enables the agent to operate smartphone applications through a simplified action space, mimicking human-like interactions such as tapping and swiping. This novel approach bypasses the need for system back-end access, thereby broadening its applicability across diverse apps. Central to our agent's functionality is its innovative learning method. The agent learns to navigate and use new apps either through autonomous exploration or by observing human demonstrations. This process generates a knowledge base that the agent refers to for executing complex tasks across different applications.
lovelaice
Lovelaice is an AI-powered assistant for your terminal and editor. It can run bash commands, search the Internet, answer general and technical questions, complete text files, chat casually, execute code in various languages, and more. Lovelaice is configurable with API keys and LLM models, and can be used for a wide range of tasks requiring bash commands or coding assistance. It is designed to be versatile, interactive, and helpful for daily tasks and projects.
azure-search-openai-demo
This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.
Dot
Dot is a standalone, open-source application designed for seamless interaction with documents and files using local LLMs and Retrieval Augmented Generation (RAG). It is inspired by solutions like Nvidia's Chat with RTX, providing a user-friendly interface for those without a programming background. Pre-packaged with Mistral 7B, Dot ensures accessibility and simplicity right out of the box. Dot allows you to load multiple documents into an LLM and interact with them in a fully local environment. Supported document types include PDF, DOCX, PPTX, XLSX, and Markdown. Users can also engage with Big Dot for inquiries not directly related to their documents, similar to interacting with ChatGPT. Built with Electron JS, Dot encapsulates a comprehensive Python environment that includes all necessary libraries. The application leverages libraries such as FAISS for creating local vector stores, Langchain, llama.cpp & Huggingface for setting up conversation chains, and additional tools for document management and interaction.
Minimalistic-Comfy-Wrapper-WebUI
Minimalistic Comfy Wrapper WebUI is a user interface extension for ComfyUI that provides an additional inference-focused UI. It dynamically adapts to workflows, allowing users to change node titles and refresh the UI. The tool ensures stability by storing data in the browser's local storage, supports working with the same workflows in Comfy and the webui, offers better queues management, prompt presets, batch support, a minimalist image editor, and mobile-friendly UI. Users can install it from the ComfyUI manager and customize node titles for input and output nodes. The tool is designed for users who prefer a simpler interface for inference tasks and want to work with ComfyUI workflows from a different perspective.
sorcery
Sorcery is a SillyTavern extension that allows AI characters to interact with the real world by executing user-defined scripts at specific events in the chat. It is easy to use and does not require a specially trained function calling model. Sorcery can be used to control smart home appliances, interact with virtual characters, and perform various tasks in the chat environment. It works by injecting instructions into the system prompt and intercepting markers to run associated scripts, providing a seamless user experience.
ChatGPT-Telegram-Bot
The ChatGPT Telegram Bot is a powerful Telegram bot that utilizes various GPT models, including GPT3.5, GPT4, GPT4 Turbo, GPT4 Vision, DALL·E 3, Groq Mixtral-8x7b/LLaMA2-70b, and Claude2.1/Claude3 opus/sonnet API. It enables users to engage in efficient conversations and information searches on Telegram. The bot supports multiple AI models, online search with DuckDuckGo and Google, user-friendly interface, efficient message processing, document interaction, Markdown rendering, and convenient deployment options like Zeabur, Replit, and Docker. Users can set environment variables for configuration and deployment. The bot also provides Q&A functionality, supports model switching, and can be deployed in group chats with whitelisting. The project is open source under GPLv3 license.
browser-copilot
Browser Copilot is a browser extension that enables users to utilize AI assistants for various web application tasks. It provides a versatile UI and framework to implement copilots that can automate tasks, extract information, interact with web applications, and utilize service APIs. Users can easily install copilots, start chats, save prompts, and toggle the copilot on or off. The project also includes a sample copilot implementation for testing purposes and encourages community contributions to expand the catalog of copilots.
Airports
This repository contains raw airport files intended as a starting point to create new airport files for the game Endless ATC. Users can contribute by customizing airport files and submitting pull requests. The repository also welcomes markdown files with gameplay and development tips. Contributors are encouraged to join the Discord server for assistance and information.
chronon
Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.
gpdb
Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
For similar tasks
safe-airdrop
The Gnosis Safe - CSV Airdrop is a Safe App designed to simplify the process of sending multiple token transfers to various recipients with different values in a single Ethereum transaction. Users can upload a CSV transfer file containing receiver addresses, token addresses, and transfer amounts. The app eliminates the need for multiple transactions and signature thresholds, streamlining the airdrop process. It also supports native token transfers and provides a user-friendly interface for initiating transactions. Developers can customize and deploy the app for specific use cases.
eos-airdrops
This repository contains a list of EOS airdrops. Airdrops are a way for projects to distribute tokens to their community. They can be used to reward early adopters, promote the project, or raise funds. This repository includes airdrops for a variety of projects, including both new and established projects.
For similar jobs
ethereum-etl-airflow
This repository contains Airflow DAGs for extracting, transforming, and loading (ETL) data from the Ethereum blockchain into BigQuery. The DAGs use the Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, and Cloud Composer, to automate the ETL process. The repository also includes scripts for setting up the GCP environment and running the DAGs locally.
airnode
Airnode is a fully-serverless oracle node that is designed specifically for API providers to operate their own oracles.
CHATPGT-MEV-BOT
The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.
CortexTheseus
CortexTheseus is a full node implementation of the Cortex blockchain, written in C++. It provides a complete set of features for interacting with the Cortex network, including the ability to create and manage accounts, send and receive transactions, and participate in consensus. CortexTheseus is designed to be scalable, secure, and easy to use, making it an ideal choice for developers building applications on the Cortex blockchain.
CHATPGT-MEV-BOT-ETH
This tool is a bot that monitors the performance of MEV transactions on the Ethereum blockchain. It provides real-time data on MEV profitability, transaction volume, and network congestion. The bot can be used to identify profitable MEV opportunities and to track the performance of MEV strategies.
airdrop-checker
Airdrop-checker is a tool that helps you to check if you are eligible for any airdrops. It supports multiple airdrops, including Altlayer, Rabby points, Zetachain, Frame, Anoma, Dymension, and MEME. To use the tool, you need to install it using npm and then fill the addresses files in the addresses folder with your wallet addresses. Once you have done this, you can run the tool using npm start.
go-cyber
Cyber is a superintelligence protocol that aims to create a decentralized and censorship-resistant internet. It uses a novel consensus mechanism called CometBFT and a knowledge graph to store and process information. Cyber is designed to be scalable, secure, and efficient, and it has the potential to revolutionize the way we interact with the internet.
bittensor
Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.



