[verdict][curated prompt][source: rankhog.com]
Can I vibecode Rankhog?
// buildable in a weekend, but real gaps stay open
The code here is the easy half, and it is worth building. A script that watches subreddits, keeps the threads already ranking in Google, and drafts a reply against the sub's rules is a one-sitting build that will genuinely find you the conversations worth joining. The gap is what happens next. No agent writes you a Reddit account with a year of comment history in the subs you care about, and Reddit's spam enforcement is aimed exactly at accounts that show up new and start mentioning a product. A shadowban is silent: your comments look live to you and are invisible to everyone else, so you learn about it weeks later. Build the finder, then spend the weeks yourself, or pay someone to have already spent them.
confidence: high
what it is: Finds Reddit threads that rank in Google and AI answers, drafts the reply, and posts it through your own browser
Buildability index · an editorial game
- Price 99 $/month weight: plus 3
- Time one sitting weight: plus 3
- Category seo and marketing no weight
- Moat brand and trust · execution quality weight: minus 2
- Confidence high weight: plus 1
- What you lose 5 items weight: minus 2
- Site rankhog.com (si apre in una nuova scheda) no weight
The maths works, but not by much: look at what you lose before you start.
Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.
What you build
Watch subreddits for my keywords, keep the threads already ranking in Google, and draft a rules-aware reply I post myself.
what you need
- LLM API key
- SERP API key (Serper.dev)
- a Reddit account you post from yourself
- weeks of ordinary participation before promoting
The build is a Saturday. The account is a season.
The prompt
A weekend with a coding agent. The gaps that stay are right below, under “what you lose”.
Build me a Reddit opportunity finder and reply drafter to replace Rankhog, personal scale. Requirements:
- A Node CLI plus a local page: node find.js runs the sweep, then a page on
127.0.0.1:3000 lists the hits with a draft beside each thread.
- My keywords and target subs live in keywords.json. Sweeps hit Reddit's public
JSON endpoints (/r/<sub>/search.json, no OAuth) with a real User-Agent, one
request every two seconds.
- Keep only the threads already ranking in Google for the keyword, checked via
Serper.dev (key in .env), those are the ones the models read back.
- Store hits in SQLite (better-sqlite3) with age, upvotes, comment count, and
whether my keyword appears in the top comments. Never resurface one I dismissed.
- Draft each reply with an LLM (key in .env), fed the thread text and the sub's
rules from /r/<sub>/about/rules.json, told to answer first and name my product
only where it fits. Store the draft, do not send it.
- The page shows title, score, the rule summary, and the draft in an editable box
with a copy button and a link out. Everything stays on my machine, localhost
only, no accounts, no telemetry. I post by hand, from my own account.
- Out of scope: anything that posts, comments, upvotes, or logs into Reddit for
me. Automated posting is what gets accounts shadowbanned, say so in the README.
- README: the Serper and LLM keys, cost per sweep, and a note to spend a few
weeks commenting in my target subs before I mention the product.Curated prompt: written and reviewed by hand for this app. In English on purpose — it is the language coding agents work best in.
What you lose
- account age, karma, and comment history in the subs that matter
- the warm-up: weeks of ordinary participation before you can mention a product
- posting through a real browser session rather than the API, which is what keeps accounts unflagged
- per-subreddit rule knowledge and pacing judgment
- shared accounts across a team, and the managed service
Why people still pay
Because the failure mode is invisible and expensive. Getting a product mentioned on Reddit needs an account people and moderators already trust, and building one is weeks of participation before the first mention. People pay to skip the warm-up, to have posting happen through a real browser session instead of an API that gets flagged, and to have someone else carry the ban risk.
moat: Brand and trust Execution quality what a moat is
account trust/platform enforcement
Who has already built it
Starting from here is still vibecoding: the prompt is for when you want it exactly your way.
- redsignal (opens in a new tab) — Watches subreddits for keyword matches, filters the noise with an LLM, and drafts replies. Covers the finder half, no license declared. (alive)
Do you agree?
The vote balance
Ancora nessun voto: il tuo è il primo.
Nessun voto ancora — il primo pesa.
