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PERSONAL TOOLING

Two Telegram Bots I Use Every Day on the Job

Daily-driver tools I built end-to-end to solve my own friction: a second-brain memory bot, and a tech-watch satellite bot that surfaces what matters without doom-scrolling.

Two Telegram Bots I Use Every Day on the Job
Telegram APIWhisperClaude APIDeepseek APIPython

The friction (personal version)

I’m Chief of Staff to a founder. My working memory is the bottleneck of my job - meetings, decisions, follow-ups, context on people, references to things I read last week. I tried Notion, Apple Notes, voice memos, paper notebooks. Each had the same flaw: the friction of opening the app is higher than the cost of forgetting.

Separately, I want to stay current on AI/tech trends, but Twitter and LinkedIn doom-scrolling were burning my morning and giving me nothing actionable.

Two frictions, two bots.

Bot 1 - Memory (Second Brain)

I open Telegram (which I’m in all day anyway), I record a voice note - anything I want to remember, no formatting required. The bot:

  1. Transcribes via Whisper
  2. Sends to Claude API with a prompt that extracts: subject, date, people, action items, summary
  3. Stores the result, indexed and searchable

When I need context, I ask the bot in natural language: “What did Eric say about the iOS release last week?” and it pulls the relevant memos. Latency: under 3 seconds.

The unlock: removing the formatting tax. I never decide where to save something. The bot decides.

Bot 2 - Satellite (Tech Watch)

This one watches a curated list of AI/tech sources, pulls the day’s signal, and sends me a single Telegram message every morning with: top 3 stories, a 30-word summary each, and “why this matters to HelloBible / your job.” Built with Deepseek API for cheap inference on summary tasks.

I read it in 90 seconds while coffee is brewing. Replaces 30+ minutes of doom-scrolling. The video below shows it in action.

Why this matters for hiring me

These aren’t pet projects sitting in a GitHub repo. They’re tools I actively use on the job, every day, that I built end-to-end. They demonstrate the same thing every case study here demonstrates: I find a friction in my own life, I scope it tight, I ship the simplest working version, I iterate.

If I do this for myself with my own time, imagine what I do when I’m paid to do it for your team.

Want to talk about something like this?

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