sangkwun

3 ms·

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by sangkwun 1mo ago
Hi HN — maker here. I built KIIP Study for people preparing for Korea's Social Integration Program (KIIP) assessments. I wanted wrong answers to come with explanations that learners could understand in their own language. The app has o
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Show HN: KIIP Study – exam practice for Korea's immigration test (16 languages)(kiipstudy.com)
1 points by sangkwun 1mo ago|1 comments
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Show HN: TapDiary – a one-tap time and count tracker, works offline(tapdiary.app)
2 points by sangkwun 2mo ago|0 comments
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Show HN: VoiceScroll – a teleprompter that scrolls as you speak(voice-scroll.com)
3 points by sangkwun 2mo ago|0 comments
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by sangkwun 8mo ago
Working on Daigest ( https://daige.st ) — it monitors your industry using AI. You pick keywords and sources (news sites, blogs, YouTube, communities), and it sends you a summary on a schedule you set. Basically Google Alerts but i
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by sangkwun 8mo ago
The problem is management confusing "AI can process text" with "AI can replace judgment." AI is great when the task is bounded, like summarizing docs or triaging info. Understanding why a legacy system was built a certai
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by sangkwun 8mo ago
My setup: RSS (Reddit, HN, AI tech blogs) + a few investment YouTube channels → daily morning digest. The key for trust was picking my own sources. No algorithm deciding what's "relevant" - just feeds I've vetted. When s
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by sangkwun 8mo ago
our tracking system might become another thing to optimize. Simpler approach: timer that closes the tab. Hard stops > willpower.
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Show HN: Sandy – Accelerate AI agents: think once, replay forever(github.com)
2 points by sangkwun 8mo ago|0 comments
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Show HN: Daigest – I built an AI to watch sources so I don't miss what matters(daige.st)
2 points by sangkwun 8mo ago|0 comments
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by sangkwun 8mo ago
I quit hoarding. Collecting was the bottleneck, not organizing. Just get filtered digests now. Needed less input, not better retrieval.
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by sangkwun 8mo ago
Feeling this. Built an AI digest tool, found YC competitors, now spend more time on positioning than coding. My bet: users don't want another tool. They want the outcome— the digest, not the dashboard. Trying this with Daigest. Softfl
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by sangkwun 8mo ago
The missing piece in most learning tools: they assume you manually feed them content. But where does that content come from? You're already: - Reading HN discussions - Following newsletters - Monitoring subreddits - Scanning Discord
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by sangkwun 8mo ago
Ironically, I think vibe coding actually increases the value of curation and trust. More AI-generated apps and content = more noise. The bottleneck shifts from "can I build this?" to "what's actually worth my attention?&
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by sangkwun 8mo ago
When building becomes easy, curation becomes the moat. Anyone can spin up a SaaS now, but knowing what information actually matters to a specific audience is still hard to replicate. That's domain expertise, not technical skill. I
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by sangkwun 8mo ago
For "vibe research" across multiple sources, I've been using an AI setup that monitors topics I care about and summarizes only what's relevant. Helps reduce the information overload while still catching context quickl
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by sangkwun 8mo ago
Interesting project. I've been exploring this space but eventually pivoted in a different direction. Two main things worry me about the 'always-on' agent approach: 1. Security & Surface Area: Giving an LLM broad permissio
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Ask HN: Async updates: Input friction vs. Output friction?
1 points by sangkwun 10mo ago|0 comments
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Show HN: Turn Notion pages into clean, paste-ready email blocks(notionto.email)
1 points by sangkwun 11mo ago|0 comments