Hyunjun Kim
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Case 09 / 09

MemoHub

A web app that gathers scattered notes and Telegram messages, analyzes/summarizes them with AI, and even gives same-day reminders — deployed

Deployed (private)Idea→shiprecord incomplete*

2026.04 / Solo (AI as the team) / Web

Problem
Notes and Telegram messages were scattered across places.
My role
Planning · setting the bar · directing AI to build · deployment
Stack
Web · Vercel · Supabase (sync) · Groq API (llama-3.3-70b-versatile) · Telegram

Results

Running on Vercel (live)
Deployed
Running on Vercel (live)
AI analysis/summary (llama-3.3-70b)
Groq
AI analysis/summary (llama-3.3-70b)
MemoHub screenshot

01

Idea / Problem

It started from wanting to manage notes and Telegram messages scattered across places in one spot, and have AI analyze/summarize them and flag what to handle that day.

02

The Plan & Bar I Set + Directing AI

  • Planned the flow — collect messages → AI analysis/summary → same-day reminders — and directed AI step by step
  • Wired the AI features with Groq (llama-3.3-70b) so analysis/summary actually run, and deployed on Vercel

03

Results

  • Deployed live on Vercel, with Groq-based AI analysis/summary working
  • A small, complete example of "build fast and get it deployed"

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Starting with zero game-engine experience, a first-person escape-room game built solo by directing AI — all the way to store submission

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