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Reko – Local-First YouTube-to-Markdown LLM Summarizer

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Reko – Local-First YouTube-to-Markdown LLM Summarizer

Hi HN, My YouTube “Watch Later” playlist keeps growing, and I rarely have time to watch long informational videos end-to-end. Most of the time, I just want the key ideas in a format I can skim, search, and save. reko is a local-first tool that converts YouTube videos into clean Markdown summaries using transcripts + LLMs (Ollama by default, cloud optional). The Python app is the engine; the CLI is the main interface for automation, and I added a tiny localhost web UI to make “summarization sessions” fast (paste a link, tweak settings, get rendered Markdown; settings are cached in the browser). Feedback is very welcome. Repo: https://github.com/riccardoruspoli/reko

Visit productView on Hacker NewsDec 30, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tiny, using · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: llama, ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, interface · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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