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JSONPath Benchmark in Java (SJF4J vs. Jayway)

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JSONPath Benchmark in Java (SJF4J vs. Jayway)

I ran a JMH benchmark comparing JSONPath performance in Java. Libraries: - SJF4J - Jayway JsonPath Workloads: - query on JsonNode - query on Map/List object graphs Main result: - ~2x faster on typical queries - up to 7x faster on Map/List One interesting takeaway is that performance differs a lot depending on whether you run on JsonNode vs native object graphs. Full write-up: https://dev.to/hannyu/sjf4j-vs-jayway-jsonpath-up-to-7x-fast...

Visit productView on Hacker NewsMar 29, 2026
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
71%71% 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 · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
25%25% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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