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Fastest HTTP Cache and Reverse Proxy (Open Source)

Hacker News

Fastest HTTP Cache and Reverse Proxy (Open Source)

Why advCache? Throughput: 160–170k RPS locally; ~250k RPS sustained on 24‑core bare‑metal with a 50GB cache. Memory safety: 1.5–3GB overhead at 50GB (no traces); ~7GB at 100% OTEL sampling. Hot path discipline: zero allocations, sharded counters, per‑shard LRU, TinyLFU admission. Control plane: runtime API for toggles (admission, eviction, refresh, compression, observability). Observability: Prometheus/VictoriaMetrics metrics + OpenTelemetry tracing. Kubernetes‑friendly: health probes, config via ConfigMap, Docker image.

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, tiny, open · Missing: mac, agents, macos
79%79% 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: open source, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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