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head790

Automating Telegram content with multi‑agent system

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Hi

What we’re building

An AI‑driven Micro SaaS that runs themed Telegram channels end‑to‑end using a user’s “digital twin” (style, tone, interests):

  • Research: generates focused web queries based on the channel’s profile; fetches fresh sources.

  • Curation: ranks/dedupes content; filters low‑signal links.

  • Writing (Reasoning LLM): produces short, engaging posts in your voice (first‑person OK), with optional A/B style overlays.

  • Quality gate: similarity vs channel history (to avoid repeats) and readability check.

  • Publishing: schedules and posts automatically (or on demand) with a single bot across multiple channels.

  • Analytics + feedback: auto‑learns preferred keywords/length; optimizes posting times.

Why this is Micro SaaS‑friendly

  • Narrow scope: “Run my Telegram channel in X niche” (e.g., crypto, tech, games).

  • Low overhead: lightweight stack.

  • Clear value: consistent posting, tone match, measurable engagement.

  • Repeatable playbook: onboard a new niche → set sources/keywords → go.

Who it’s for

  • Solo creators, niche brands, and community owners who want consistent, on‑brand posts without hiring a team.

  • Agencies who need white‑label automation for multiple client channels.

Tech snapshot (for the curious)

  • Multi‑agent pipeline (Research → Curate → Write → QC → Schedule/Publish → Analytics).

  • Reasoning LLM, web search/extract, Telegram Bot API, embeddings for similarity.

  • Deterministic scheduling with manual “generate‑now”.

Pricing ideas

  • Subscription per channel (with usage tiers) or agency bundles. Optional add‑ons: source whitelists, custom prompts, A/B testing, analytics exports.

Looking for early users

If you run a Telegram channel (or a few) and want to trial a “set‑and‑forget” workflow with a sarcastic/serious/analytical voice that actually fits your brand, DM me your niche and target cadence. We’ll spin up a digital twin + content preferences and get your first posts live this week.

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Derek Brambles
I like this idea a lot, what’s the stack?
head790

@derek_brambles 
do you mean tech?

python, postgres, redis, openai and antropic

Derek Brambles
@rom6 I built something similar but just for myself. This is really cool, how are you handling images and alt text?
head790

@derek_brambles 

Here’s how we handle images (and “alt”):

  • We don’t have true HTML alt in Telegram. We treat the photo caption as the “alt” and, for accessibility, optionally send a second text message with a fuller description right after the image.

  • Captions are generated from context with a vision model and lightly normalized. For purely decorative images we use an empty/very short caption.

  • We cache and reuse Telegram file_id to avoid re-uploads; if quality is critical we send as document (keeps original) instead of photo (compression).

Derek Brambles
@rom6 ahh that’s interesting, thank you for explaining