macrocosm-os

macrocosm-os / dataverse-cli

Public

The cli of dataverse

14
1
85% credibility
Found Mar 20, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

A desktop program for searching real-time social media posts from X/Twitter and Reddit, or collecting large datasets over time using a decentralized network.

How It Works

1
🔍 Discover easy social data access

You hear about a simple program that grabs real-time posts from Twitter or Reddit without hassle.

2
📝 Sign up for free access

Visit the website to create a free account and get your personal pass to start pulling data.

3
💻 Set up the helper program

Download the ready-to-use program and place it on your computer so it's easy to run anytime.

4
🔗 Connect your account

Run a quick setup that links your pass securely and tests the connection – feels smooth and safe.

5
Pick your data adventure
⚡
Quick search

Type what you're looking for, like keywords or people, and get fresh posts right away.

⏳
Ongoing collection

Set it to gather posts matching your interests over hours or days across the network.

6
📊 View and save results

See posts in a clear table, list, or file format perfect for reading or analyzing.

🎉 Data ready to use

Download your complete collection of social posts and dive into insights effortlessly.

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Star Growth

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AI-Generated Review

What is dataverse-cli?

Dataverse-cli is a Rust CLI (`dv`) for pulling real-time social posts from X/Twitter and Reddit via the Bittensor SN13 decentralized miner network—no direct platform APIs required. Developers get instant keyword/username searches or "Gravity" tasks for ongoing collection up to 7 days, with exports to Parquet datasets, JSON, or CSV. It solves brittle scraping by outsourcing to miners, using a single free Macrocosmos API key stored securely.

Why is it gaining traction?

Zero-infra data access beats rate-limited Twitter/Reddit APIs or custom scrapers, especially with agent-friendly JSON schemas from `dv commands` for LLM integration. Dry-run previews API calls without credits, and multi-format outputs pipe cleanly into GitHub Actions or Linux/Ubuntu scripts. Rust speed and Parquet handling make large pulls feel snappy.

Who should use this?

ML engineers training sentiment models on fresh social data. Data analysts scripting GitHub repo workflows for trend tracking. AI devs building dataverse client tools in CLI GitHub Linux environments, skipping Dynamics or .NET SDKs for lightweight Rust access.

Verdict

Worth installing via Cargo for decentralized social data experiments—polished docs and `dv auth` setup shine despite beta status. 14 stars and 0.85% credibility signal early maturity; run dry-runs on Ubuntu first to validate your use case.

(187 words)

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