For over a year, our company didn't have a public website, a Twitter account, or a Product Hunt page. We were building AI tools for Telegram under NDA with international clients.
Today we're launching publicly. Here's what we learned.
The Technical Challenge
We built two products:
- AI Comment System — generates natural Telegram discussions using 1,000+ persistent AI personas.
The hard part wasn't generating text. It was making it feel human. We solved this with:
Multi-pass quality pipeline (generate → self-check → enforce style)
Opinion Drift — personas change views gradually over time
65-85% threaded replies (real conversations, not flat comments)
35%+ short comments (1-5 words, like real chat)
Typing emulation and post-reading behavior
- ModerAI Anti-Spam — context-aware spam detection for Telegram groups.
Traditional bots use keyword matching. We use an 8-layer pipeline:
Whitelist/ban check (free, instant)
Reputation scoring (3+ bans = auto-ban)
Trust system (skips 90-95% of legit messages)
Fuzzy text fingerprinting
39+ rule-based patterns
AI context analysis (only for edge cases)
Final decision
Result: 99.7% accuracy, near-zero false positives.
What We Learned
NDA work is great for building, terrible for marketing. We had a proven product and zero public presence. Starting from scratch on SEO, social, and community after a year of silence is harder than building the tech.
Keyword-based spam detection is fundamentally broken. The same word means different things in different contexts. AI context analysis isn't just better — it's a different category.
Persistence matters more than personality in AI personas. The biggest unlock wasn't making each persona unique — it was making them consistent over time.
Launch Day
We're live on Product Hunt today: https://www.producthunt.com/posts/personymai/maker-invite?code=wMwcDO
If you're interested in Telegram tooling, AI-powered content generation, or anti-spam systems, I'm happy to go deeper on any of these topics.
→ personym-ai.com
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