iOS7 iPad POP3 client splitting commands unnecessarily over packets

Hacker News

With the iOS 7 update, the POP3 client on iPad is now splitting commands across TCP packets, using twice as many packets for POP3 sessions. Surprisingly, it always sends just the first letter of each command and then the rest of the command: C: U C: SER joran@ronomon.com S: +OK C: P C: ASS 123 S: +OK C: S C: TAT S: +OK 2 320 ... C: R C: ETR 1 S: +OK ... C: D C: ELE 1 S: +OK C: R C: ETR 2 ... C: Q C: UIT It sends the two packets 100-200ms apart, so downloading a few emails will take several seconds longer than usual.

Visit product View on Hacker NewsSep 20, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, using · Missing: mac, agents, macos

59%59% 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.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: ios, way · Missing: mobile apps, personal, entrepreneurs

45%45% 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

34%34% 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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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