es
esdump-rs, a fast and native version of elasticdump
Hacker Newsesdump-rs, a fast and native version of elasticdump
Hey HN, The standard Elasticdump[1] tool is really slow and inefficient. We needed to export >50 terrabytes of documents and ended up building this. The runtime for a single index was reduced from ~2 days to 15 minutes. 1. https://github.com/elasticsearch-dump/elasticsearch-dump
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released59%59% 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, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: single · Missing: mac, agents, macos28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% 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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
HT
HTML5 version of StarCraft56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HTML5 version of StarCraft
Hacker News320A
A Dumber version of Kite38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Dumber version of Kite
Hacker News8Th
This Is How We Made a 7'5“ Tall Version of Mega PocketC.H.I.P38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This Is How We Made a 7'5“ Tall Version of Mega PocketC.H.I.P
Hacker News1Fa
Faceclash, a totally modernized version of Mark Zuckerberg's Facemash62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Faceclash, a totally modernized version of Mark Zuckerberg's Facemash
Hacker News1IP
IPpyGo – Go version of IPpy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IPpyGo – Go version of IPpy
Hacker News3Ar
Archuro (Archuro) Version 0.1.038%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Archuro (Archuro) Version 0.1.0
Hacker News1Pi
Pitchpigeon Version 2.038%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pitchpigeon Version 2.0
Hacker News1Th
The grown up version of Unbaby.me38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The grown up version of Unbaby.me
Hacker News1Fu
Furatto version 3 released42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Furatto version 3 released
Hacker News4ES
ES2015 version of ASCIImage38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ES2015 version of ASCIImage
Hacker News1