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A way to highlight MULTIPLE terms at once in the browser page. FAST

Hacker News

A way to highlight MULTIPLE terms at once in the browser page. FAST

I often end up looking through logs in a browser — no grep, no terminal, just the page. Browser search isn't helping enough: Sometimes I need to see every WARN, sometimes every ERROR, or maybe WARN near /suspiciousPath. Doing that manually gets old fast. So I wrote a small Chrome extension, very creatively named "Highlighter Extension". It can highlight multiple terms at once, uses the CSS Highlight API so it doesn’t break layouts of any log stream (or at least it shouldn't), updates when new log lines appear, and lets you jump between matches quickly. I’d really appreciate it if you’d try it on some of your web-based logs and let me know how it behaves. The goal is for it to work on any messy log viewer — whatever HTML or JavaScript is underneath. If you already have a tool that does something similar, it'd be very kind of you to share so I could compare. (Yes, asking before writing code would’ve been smarter, but that better later than never I guess .) P.S. No tracking in the extension, no payment, nothing fancy. Just a small utility that runs entirely in the browser and just highlights text. Hopefully it saves a few minutes the next time when digging through logs at 3 a.m. happens.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos
90%90% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% 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
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
38%38% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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