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Earning $173 in 3 Days with Niche Reddit Comments and an Auto-Reply Bot

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Linh is an IT enthusiast and digital entrepreneur who shares practical insights about technology, SEO, affiliate marketing, and online income strategies on LinhBaDien.com. He focuses on creating transparent, actionable, and beginner-friendly content to help readers build sustainable online projects.

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Reading time: 4 min.

General Overview

  • Character/Brand: Webrekas (BlackHatWorld member, experienced in technical development, especially automation and affiliate marketing).
  • Timeline: 3-day experiment reported on May 11, 2025 (per “Yesterday at 1:54 PM” post on BlackHatWorld).
  • Geography: Not specified; targets international Reddit communities, especially r/SmallBusiness, r/Notion, r/SaaS, r/WorkOnline, and r/EmailMarketing.

Monetization Model

  • Primary method: Affiliate marketing via automated Reddit comments that include links to SaaS products/services with affiliate programs.
  • How revenue is generated:
    • Use a bot to find and reply to “help-seeking” comments in niche subreddits with helpful suggestions plus an affiliate link.
    • Prioritize SaaS with free trials or long affiliate cookies (30+ days) to lift clicks and conversions without immediate payment friction.
    • Each signup yields commission; total $173.08 from 16 signups in 3 days.
    • Low operating cost (~$10–20/month for API, VPS, proxies) but requires coding skill and initial setup time.
    • Notable: Precise targeting via automation, low cost, scalable. Risks include Reddit account bans if rules aren’t followed and reliance on AI copy quality to avoid spam flags.

Tools Used

  • GPT-4 (OpenAI API):
    • Role: Generate short, friendly, context-aware replies; also help classify “help-seeking” comments using regex + AI checks.
    • Notes: API cost ~$0.03–$0.06/1K tokens; requires a “sanitizer” step to prevent hallucinations.
  • Regex + GPT Check:
    • Role: Filter “help-seeking” comments (“What should I use…”, “Any tool for…”) to ensure targeted replies.
    • Notes: Combining regex with GPT improves precision at scale and reduces mistargeted replies.
  • n8n:
    • Role: Schedule and orchestrate automation (scrape → analyze → reply).
    • Notes: Open-source, flexible, low-cost for complex workflows.
  • Python + PRAW (Reddit API wrapper):
    • Role: Ingest new comments from selected subreddits and post replies via Reddit API.
    • Notes: Free, straightforward; needs careful throttling, random headers to avoid rate limits/blocks.
  • Link Shortener (Rebrandly, Bitly):
    • Role: Shorten and track affiliate links; hide source URL and generate click analytics.
    • Notes: Rebrandly allows custom domains (trust); Bitly is cheaper (~$8/month).
  • Headless Browser Wrapper:
    • Role: Simulate user behavior when posting (random headers, realistic delays) to avoid bot detection.
    • Notes: Lighter than Puppeteer; still needs engineering effort.
  • Proxies:
    • Role: Rotate Reddit accounts, reduce ban risk; use phone-verified, aged accounts for trust.

Implementation Process

  • Phase 1: System setup (pre–Day 1)
    • Configure PRAW to ingest comments from five subreddits (r/SmallBusiness, r/Notion, r/SaaS, r/WorkOnline, r/EmailMarketing).
    • Pipeline: PRAW → Regex/GPT → n8n → Headless Browser for full automation.
    • Prepare three phone-verified, aged Reddit accounts with legitimate history.
    • Integrate Rebrandly for link shortening and click tracking.
    • Detail: Target only “help-seeking” comments to deliver value and avoid spam reports. Use JSON batching (10 comments/batch) to reduce GPT-4 API cost.
    • Result: Ready system capacity ~50–100 comments/day.
  • Phase 2: Test and optimize (Days 1–3)
    • Bot posted 127 replies over 3 days, at 2–3 replies/day/account, staggered across time zones and subreddits.
    • GPT-4 replies are “help-first,” adding affiliate link only when contextually relevant (“I used [tool] for this—saved hours: [link]”).
    • Tracked clicks with Rebrandly, upvotes on Reddit, and affiliate signups.
    • Manually adjusted GPT output when tone/context missed the mark.
    • Details: Replies spaced by hours with random delays; used aged accounts; avoided older threads (>24h) to reduce reports.
    • Results: 127 replies, 45+ upvotes, 182 clicks, 16 signups, $173.08 earned; click→signup conversion ≈ 8.8%.
  • Phase 3: Review and scale plan (post–Day 3)
    • Analysis: r/SaaS and r/Notion produced higher CTR; refine targeting list.
    • Consider 100% automation by adding an approval/reject queue to minimize manual checks.
    • Plan to add more accounts and proxies to scale without bans.
    • Details: Day-1 replies continued to get clicks by Day 5 via organic upvotes (compounding). Implemented content sanitizer for hallucinations.
    • Result: Stable system, no account bans, foundations laid for scaling.

Results

  • Revenue: $173.08 in 3 days from 16 affiliate signups.
  • Volume: 127 replies (~42/day), 45+ upvotes, 182 clicks (≈1.43 clicks/reply), ~8.8% click→signup conversion.
  • Other achievements: 80–85% automation at low cost, identified high-performing subreddits and “help-first” strategy, no bans due to quality accounts and slow posting.
  • Challenges: GPT-4 hallucinations increased review workload; ban risk when scaling without more accounts/proxies; only 3 accounts limited daily throughput.

Lessons Learned

  • Success drivers: Help-first content (real value, no ad tone) increased upvotes and comment lifetime; quality, phone-verified aged accounts; smart automation with PRAW, GPT-4, n8n, headless browser.
  • Creative elements: JSON batching to cut GPT costs/time; sanitizer to curb hallucinations; precise targeting of “help-seeking” comments in niche subreddits.
  • Challenges/solutions:
    • Hallucinations → build sanitizer + manual tone/context checks.
    • Ban risk → aged accounts, 2–3 replies/day/account, user-like delays/headers.
    • Marketing gaps → focus on value content; let upvotes and organic clicks compound.

Suggestions for Beginners

  • Start small: 1 subreddit + 1 verified Reddit account (~$5–10 proxy/VPS). Use PRAW + GPT-3.5 to lower costs.
  • System:
    • Install PRAW and n8n on a $5 VPS (DigitalOcean/Linode).
    • Use free Bitly for link shortener and click tracking.
    • Draft help-first templates with GPT; e.g., “I found [tool] super helpful for [problem]. It’s free to try: [link].”
    • Pre-filter with simple regex (“tool for”, “software to”) before GPT.
  • Marketing: Target solopreneur/productivity niches (r/SaaS, r/Notion). Prefer SaaS with long cookies (ClickBank, ShareASale). Keep replies <100 words, friendly, useful.
  • Cost: ~$20–50 initial (VPS, proxy, GPT-3.5 API, Rebrandly). You can trial with a personal account first.
  • Learning: Watch PRAW tutorials, read OpenAI docs, and browse BlackHatWorld for ban-avoidance tips.
  • Compliance: Respect Reddit API rules, avoid repetitive comments, always add value, and accept ban risk if scaling too fast.

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