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HHussain C

Altrun

An AI assistant that turns incoming signals into scheduled actions

Role
Founder, engineer
Client
Own product
Year
2026
Stack
LLM tool calling, Agentic workflows, Telegram Bot API

AIn short

Altrun watches the channels people actually use (Telegram, email, Instagram DMs and the browser) and turns what comes in into scheduled, personalised actions. It sorts, summarises, researches, drafts and schedules, and it learns to write the way you do.

BThe problem

People who run small businesses lose hours a week triaging messages across four apps. Chat assistants answer questions when asked. They don't act on what's arriving, and the drafts they write don't sound like the person sending them.

CWhat I built

How it works

  1. 01

    Tools, not one giant prompt

    Each capability is a tool the agent calls with structured input and output: classify, summarise, research, draft, schedule. Every step can be logged, retried and tested on its own.

  2. 02

    One inbox shape

    Messages from every channel are normalised into a single event before the agent sees them. A new channel is an adapter, not a rewrite.

  3. 03

    Your voice, not a chatbot's

    Drafts are styled from the user's own past writing, so a reply reads like it came from them.

DWhere it landed

In public beta and onboarding early users.

  • LLM tool calling
  • Agentic workflows
  • Telegram Bot API
  • Email
  • Instagram DMs
  • Browser extension

Contact

Tell me what you're trying to fix.

I read every message myself and usually reply the same day. A rough idea is enough to start.

Or send a short brief

Hours

Your hours work for me.

  • San Francisco

    --:--

  • New York

    --:--

  • London

    --:--

  • Berlin

    --:--

  • Dubai

    --:--

  • Singapore

    --:--

  • Sydney

    --:--

  • Surat

    --:--

    Me

I keep flexible hours and move my day to overlap with yours, whether that's a morning standup in New York or a late release in Sydney.