Promoting a Telegram Bot Without a Budget: Real Metrics from 7 Channels
Devlog-style articles—development diaries—proved to be the only effective channel at launch. Content focused on product concept, technical solutions, and implementation challenges, without direct calls to sign up. Result: ~150 users from several posts.
Advantages of this format:
- Long-term impact: Articles get indexed by search engines, attracting traffic for long-tail queries like "Telegram bot for AI tasks".
- Organic conversion: 4–5% of readers navigate to the product out of curiosity.
- Low moderation risk: Platforms are tolerant of technical content without overt advertising.
Compared to social media, articles aren’t dependent on feed algorithms and generate passive traffic for months.
dev.to: Weak Response to Translations
First attempt on English-language dev.to: two translated articles. One week: 23 views, 1 user via UTM.
Reasons for low performance:
- No promotion algorithm: Without followers, content vanishes in the feed within seconds.
- Unadapted content: Translations retained Russian context, examples, and tone—unrelatable to local audiences.
- Cold start: New accounts have zero visibility.
Recommendation: Create original content tailored to dev.to’s expectations—focus on code, benchmarks, open-source practices. Conversion rate (1/23) confirms potential; the issue is reach.
Indie Hackers & Hacker News: High Entry Barriers
Indie Hackers blocked posts from a new account: activity (upvotes, comments) required to unlock posting. One and a half weeks—zero results.
Hacker News was delayed: Show HN format demands studying successful case studies. Audience leans toward web services and infrastructure—Telegram bots may not fit without adaptation.
Common pattern: Reputable platforms create a closed loop—activity without posts is useless, posts without activity are blocked.
Reddit: Moderation vs. Self-Promotion
Three posts in r/Telegram, r/productivity, and r/SideProject were auto-moderated and removed. Reason: new account + product links.
Reddit rules:
- No more than 10% self-promotion in activity.
- Requires a history of helpful comments.
Workaround strategy: Spend 2–4 weeks engaging in discussions (answering questions, offering help), then post. Otherwise—ban.
X and Threads: AI Content Doesn’t Convert
On X (EN): AI-generated case-style posts ("bot reminded me of a meeting"). ~20 interactions per post, labeled "bot", 0 users.
On Threads (RU): Similar format, reach 10–100x higher (20–200 impressions), but 0 registrations.
Conclusion: Generic AI content fails to engage, despite high visibility. Threads aggressively promotes newcomers; X suppresses them. Question: AI saves time but reduces engagement quality.
Summary Metrics by Channel
| Platform | Language | Format | Views | Users | Status |
|----------|----------|--------|-------|-------|--------|
| Blog Platforms | RU | Articles | Thousands | ~150 | Working |
| dev.to | EN | Articles | 23 | 1 | Weak |
| Indie Hackers | EN | Articles | - | 0 | No Access |
| Hacker News | EN | Show HN | - | 0 | Planned |
| Reddit | EN | Posts | - | 0 | Removed |
| X | EN | Posts | ~20 eng. | 0 | Bot Tag |
| Threads | RU | Posts | 20–200 | 0 | Active |
Key Takeaways
- Content adaptation is mandatory: Translations don’t work—original content tailored to each platform is essential.
- Reputation > Reach: New accounts get blocked by algorithms and moderators.
- Manual content beats AI: Devlogs delivered ~150 users; AI-generated posts delivered 0.
- Blog platforms for launch: Passive traffic with no reputation investment needed.
- Long-term mindset: 80% of channels require weeks of preparation.
Overall verdict: Without a budget, focus on 1–2 high-ROI channels (blogs), while building reputation in others in parallel.
— Editorial Team
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