Getting started with RedReplier

RedReplier helps you find conversations across Reddit, Hacker News, X, and Bluesky where your product, service, or expertise can be useful. The workflow is intentionally review-first: RedReplier finds and scores opportunities, but a person decides what to say and whether to reply.

Use this guide to set up a clean first workspace, create monitoring signals, read the review queue, and avoid noisy or promotional replies.

Before you begin

You need a RedReplier account, a website or product to monitor, and a short description of who you help. If you work with clients, create a separate workspace or website entry for each client so keywords, mentions, and review decisions stay separate.

Prepare these items before setup:

• The public website URL RedReplier should use for product context.
• A one-paragraph description of the product, customer, and use case.
• Five to ten search phrases that real users would type on Reddit, Hacker News, X, or Bluesky when they need help.

1. Add the website or product

Create the website you want to monitor. Use the canonical marketing URL, not a temporary landing page, because RedReplier normalizes the domain and uses the website context when it evaluates mentions.

Fill in the name and description with practical language. A good description explains what the product does, who it is for, and which problems it solves. Avoid slogans; the review system needs concrete context.

2. Add focused keywords

Keywords decide which posts and comments across Reddit, Hacker News, X, and Bluesky enter the review queue. Start with precise problem phrases, product categories, named alternatives, and buying-intent wording. You can add broad terms later, but a narrow first pass makes the queue easier to trust.

Good first keywords look like real user language: "CRM for agencies", "client follow-up software", "alternative to spreadsheet pipeline", or "how to track leads for a small agency".

3. Let the first matches arrive

After keywords are saved, RedReplier monitors Reddit, Hacker News, X, and Bluesky and groups matching posts or comments as mentions. Each mention includes the source (which channel it came from), the subreddit when the source is Reddit, the author, thread URL, matched keyword, relevance score, and AI explanation.

The first review pass is calibration. Approve high-quality matches, reject irrelevant ones, and adjust noisy keywords. This teaches your team which terms deserve more budget and attention.

4. Review before replying

Open a mention, read the original thread on its platform, and decide whether a reply would actually help. RedReplier can explain why the thread matched, but it should not replace judgment. Replies work best when they answer the question first and mention your product only when it genuinely fits.

Use statuses consistently:

• New means nobody has made a decision yet.
• Approved means the thread is worth a thoughtful reply.
• Rejected means the match is not useful or not appropriate to answer.

5. Keep the loop healthy

Check the queue regularly during the first week. Disable vague keywords, add better variants, and keep notes about what a good opportunity looks like for your team. The goal is not to reply everywhere; it is to find the threads where a careful answer can be useful.

Troubleshooting

If the queue is empty, add more intent phrases, include competitor or alternative terms, and check that the website description is specific. If the queue is noisy, pause broad terms, reject low-fit mentions, and split one large keyword into more specific phrases.

If teammates are reviewing the same thread twice, use the team workflow page to define ownership and status rules before scaling the queue.

Next steps

Continue with Add keywords to improve monitoring quality, then read Review replies before sending anything. Developers can use the API introduction to automate website, keyword, mention, and alert workflows.