glassheadclown

glassheadclown / openmaven

Public

Reddit sentiment intelligence , real-time signals, narrative detection, predictions, notifications and more. Built in Rust.

10
4
69% credibility
Found Mar 25, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

OpenMaven monitors select Reddit subreddits in real-time for sentiment shifts, generates AI-powered narratives and predictions, and delivers them via notifications or dashboards.

How It Works

1
👀 Discover OpenMaven

You find a handy tool that watches Reddit chats to spot early signs of market buzz and mood changes.

2
🚀 Start the setup wizard

Open the program and answer simple questions to tell it what you want to track.

3
🧠 Connect data and smarts

Link a fast Reddit feed and pick an AI helper so it can read and understand comments instantly.

4
📋 Choose your watchlist

Select favorite subreddits and key topics like stocks or news events to focus on.

5
🔔 Set up your alerts

Choose how to get pinged, like messages on your phone or chat apps when moods shift.

6
📊 View live insights

Open the dashboard to see real-time scores, trends, and smart summaries of what's brewing.

🎉 Catch signals early

You get ahead with predictions and alerts, turning Reddit chatter into your trading edge.

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Star Growth

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AI-Generated Review

What is openmaven?

OpenMaven pulls real-time Reddit comments via the Sylvia API and runs AI-powered sentiment analysis to score discussions as positive, negative, or neutral, spotting mood shifts and generating narrative summaries with predictions. It tracks subreddits like wallstreetbets for emerging trends, delivering signals via Telegram or Discord notifications, a TUI dashboard, or a local web UI. Built in Rust with SQLite storage, it handles high-volume polling at sub-7-second latency while batching AI calls across Groq, Anthropic, or Ollama.

Why is it gaining traction?

Unlike basic reddit sentiment analysis api scrapers, it produces analyst-grade narratives explaining *why* sentiment moves—tying raw reddit sentiment data to market implications—and includes forward predictions with confidence scores. The setup wizard auto-configures AI providers and estimates costs, while CLI tools like `cargo run -- backfill` or `-- export markdown` make it a practical reddit sentiment tracker for stocks. Rust's speed keeps it responsive even on free-tier APIs, standing out as a reddit github copilot alternative for narrative detection.

Who should use this?

Quantitative traders scanning reddit sentiment stocks in wallstreetbets or Superstonk for early signals. Market analysts building a reddit sentiment index or mention tracker from live data. Devs prototyping reddit sentiment dataset tools or notifications without spinning up custom infra.

Verdict

Solid early prototype (10 stars, 0.699999988079071% credibility score) with strong docs via the interactive wizard and CLI reference—try it for reddit sentiment and mention tracker needs, but expect tweaks as it matures beyond the to-do list like global keywords.

(198 words)

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