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Convert json dns data to csv

Hacker News

Convert json dns data to csv

cat json.l #define echo ECHO #define jmp BEGIN #define p printf #define nl p("\n") #define s p(",") %s xa xb xc xd xa "\"Question\":[{\"name\": \"" ya "\", \"type\": 1}]," xb "\"type\": 1," yb "\"data\": \"" xc \" %% {xa} jmp xa; <xa>{ya} s;jmp xb; <xa>. echo; <xb>{xb} jmp xc; <xb>. <xc>{yb} jmp xd; <xc>. <xd>{xc} nl;jmp 0; <xd>. echo; \n . %% int main(){ yylex();} int yywrap(){} /* compile with something like: flex -Crfa -8 -i json.l cc -pipe lex.yy.c -static -o json usage example: json < file.json > file.csv */

Visit product View on Hacker NewsJun 4, 2018

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto

56%56% predicted probability of success on BetaList, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released

52%52% 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 · Missing: mobile apps, ios, personal

46%46% 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

28%28% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

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