Telescope – an open-source web-based log viewer for logs in ClickHouse

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Hey everyone! I’m working on Telescope - an open-source web-based log viewer designed to make working with logs stored in ClickHouse easier and more intuitive. I wasn’t happy with existing log viewers - most of them force a specific log format, are tied to ingestion pipelines, or are just a small part of a larger platform. Others didn’t display logs the way I wanted. So I decided to build my own lightweight, flexible log viewer - one that actually fits my needs. Check it out: Video demo: https://www.youtube.com/watch?v=5IItMOXwugY GitHub: https://github.com/iamtelescope/telescope Live demo: https://telescope.humanuser.net Discord: https://discord.gg/rXpjDnEc

Visit product View on Hacker NewsFeb 26, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

79%79% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, intuitive · Missing: plus, reviews, host

55%55% 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

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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.

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