Request json dns data for list of hostnames

Hacker News

cat 2.k /k3 (amateur level) /usage: g=f k 2 where f is list of hostnames, e.g. all hostnames referenced in a page of html /usage example: g=1.txt k 2|exec openssl s_client -tls1_2 -no_ssl2 -no_ssl3 -ign_eof -no_ticket -connect cloudflare-dns.com:443 -tlsextdebug -verify 9 > 1.json a:"GET /dns-query?ct=application/dns-json&name=";b:0:_getenv "g";cde:"&type=1 HTTP/1.1\r\nHost: cloudflare-dns.com\r\nConnection: ";f:"keep-alive";g:"close";h:"\r\n\r\n"; i:(#b)-1;`0:{,/$(a,b[x],cde,f,h)}'!i;`0:,/$(a,b[i],cde,g,h)

Visit product View on Hacker NewsJun 4, 2018

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

49%49% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

41%41% predicted probability of success on BetaList, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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

Correct prediction on native model

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