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Bugfruit – a simple embedded key-value store

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Bugfruit – a simple embedded key-value store

Hey HN! I work on a database for my day-job and I realized I had never written one from scratch, so I wrote bugfruit! Once I was mostly satisfied with it, I looked up some benchmarks to compare my simple database to other brand name key-value stores. I was surprised to see that mine held up fairly well on the subset of benchmarks I replicated. So I used the Pavlo Database Naming System [0] to name it and open-sourced the code. I'd love to hear any feedback you might have on it! [0] https://www.cs.cmu.edu/~pavlo/blog/2020/03/on-naming-a-datab...

Visit productView on Hacker NewsMay 29, 2022
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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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
39%39% 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
24%24% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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