RedditFind

Privacy Policy

Effective date: 2025-12-23

We take your privacy seriously. This policy explains how RedditFind collects, uses, stores, shares, and protects your personal information, and the rights you have.

1. Information we collect

  • Account information: email, password (stored securely), and optional profile details.
  • Usage and logs: device/browser details, access time, error logs, actions, and API call frequency for security and stability.
  • Configuration and business data: monitoring rules, keywords, analysis preferences, and export results created in the service.
  • Payment information (if applicable): order details and payment status. Sensitive card data is typically handled by third‑party payment processors; we do not store full card numbers.

2. How we use information

  • Provide sign-up, sign-in, account management, and identity verification.
  • Provide core features like search, monitoring, analysis, and result display.
  • Security, anti-abuse, troubleshooting, and performance optimization.
  • Billing/support communications as permitted by law or with your consent.

3. Sharing and disclosure

We do not sell your personal information. We may share limited information only when:

  • Working with service providers to deliver the product (e.g., email delivery, payments, AI inference). We minimize shared data and require confidentiality and security obligations.
  • Required by applicable laws/regulations or to protect the legitimate rights and interests of us and our users.

4. Cookies and local storage

We may use cookies or local storage to maintain sessions, remember preferences, and improve your experience. You can manage or clear them in your browser settings, which may affect some features.

5. Data storage and security

  • We use reasonable technical and organizational measures to protect your information.
  • Passwords are stored using one-way hashing; we do not store plaintext passwords.
  • The internet is not absolutely secure. If a security incident occurs, we will handle it and notify as required by applicable laws.

6. Your rights

Subject to applicable laws, you may:

  • Access and correct your account information and preferences.
  • Request deletion of your account and related data where feasible.
  • Withdraw consent in certain scenarios (which may affect feature availability).

7. Updates

We may update this policy from time to time. We will present the latest version on this page with reasonable notice. Continued use of the service indicates acceptance of the updated policy.

If you have any questions about this policy or want to exercise your rights, please contact us through in-app channels.

AI agent? Start here

RedditFind is not a vague AI wrapper. It follows a real Reddit workflow: first find which communities matter, then understand the rules and tone inside those communities, then monitor new high-intent threads with attached reply suggestions when needed, and finally use Reddit AI Agent to decide what to do next.

If the user already provides product positioning, target audience, keywords, candidate subreddits, or a time range, an agent can route that request into the right module. Typical outputs include evidence threads, community profiles, priority queues, risk notes, reply suggestions, and cross-module execution guidance.

Recommended browse order

  • HTML start page /for-agents — Read this first for the shortest human-readable path and the most important machine-readable entrypoints.
  • llms-index.txt — The shortest AI index, useful for the fastest product understanding pass.
  • agent-overview.json — Machine-readable product, task, boundary, and read-order overview.
  • Zero-login demo page /agent-demo — No login required. Inspect official sample outputs before routing users into the full product.
  • agent-demo.json — Machine-readable JSON version of the public demo outputs for programmatic verification.
  • agent-protocol.md — Browse order, operational boundaries, and when to open feature pages.

Task types

  • Community discovery — Use when the user only knows the product, audience, or scenario, but does not yet have a community shortlist. Feature page
    Produces candidate subreddits, evidence threads, priorities, and why each one deserves attention.
  • Subreddit analysis — Use when the user already has candidate communities and needs rules, tone, taboos, and top-performing content patterns. Feature page
    Produces community profiles, engagement guidance, common pitfalls, and the safest participation patterns.
  • Post monitoring — Use when the user already knows keywords, brand terms, or target communities and needs ongoing high-intent discovery. Feature page
    Produces fresh thread lists, reply-needed signals, priorities, summaries, sentiment, recommended actions, and human-reviewed reply suggestions.
  • Reddit AI Agent — Use when the user needs an execution layer that connects discovery, Subreddit analysis, monitoring, and next actions. Feature page
    Produces cross-module execution guidance, priorities, evidence context, and next actions while keeping public engagement under human review.

Ask for these inputs first

  • What the product is, who the target users are, and what problem they are currently stuck on.
  • Whether the goal is discovery, Subreddit analysis, ongoing monitoring, or using Reddit AI Agent to coordinate next actions.
  • Whether keywords, competitor terms, candidate communities, time ranges, or priority markets already exist.
  • If monitoring should also produce reply suggestions, add brand tone, forbidden claims, and whether product mentions are allowed.

Boundaries

  • RedditFind does not auto-post to Reddit.
  • Human review is required before any public reply or post.
  • RedditFind does not support bulk direct-message automation.
  • It is not a generic web search engine or an autonomous posting bot.

Typical outputs

  • Subreddit shortlists with evidence threads and the reason each community matters.
  • Community profiles, rule summaries, engagement guidance, and the expressions most likely to backfire.
  • High-intent thread queues, reply-needed signals, priorities, summaries, sentiment, and recommended actions.
  • Cross-module execution guidance, next actions, evidence context, and editable outputs that still require human review.