exactly the same problem with me! How to be? Comrades

aeond eats 6.5GB of memory, is this a joke?)
I guess there are no online wallets because no one in their right mind will run this RAM hungry daemon.
And Bittrex wallet is offline too, just great...

I still have AEON on poloniex and I just wanted to withdraw it to my offline Wallet.

But it is already for 24h on pending...

I have confirmed the e-mail for withdrawal.

Anybody else got the same problems?

The network adjusts difficulty every block based on the time between last fifty blocks (?) to try and keep an average block time of 4 min (?). So yes, only difficulty. Over last several weeks apparently the amount of hashrate on the network went up, so difficulty adjusts up, so you get less coins for the same amount of hash power compared to two weeks ago.

Nope but you can store your coins in a wallet. maybe in year or two it will be traded on novaexchane for 500sat

That's pretty slow. On i5-4570 (all stock, 16Gb ram @ 2 channels, win10, locked pages enabled) it's ~745h/s (without any other load), or ~748h/s after reboot and miner's clean start. Drops to ~550 with regualar web browsing though.

http://www.pixic.ru/i/A00104s111l34914_preview.png

How to?

1) Use aeon-stack or xmrig
2) Enable lock pages (if not, may give up to ~30% hasharte drop depending on system)
3) Threads/cores/cache count:

2Mb L3, 2 cores (celerons etc.) = 2 single threads
3Mb L3, 2 cores, 2 threads (pentiums) = 2 threads, one double, one single
3Mb L3, 2 cores, 4 threads (modern pentiums) = 3 single threads, affinity 7 (--cpu-affinity 7 using miner key, or just using cmd: START /affinity 7 cmd /C "xmr-stak-cpu-notls.exe"). Or, one double + one single - about 3-5% slower, but less drop under system load.
4Mb L3, 2 cores, 2 threads (i3s) = 2 double threads
4Mb L3, 2 cores, 4 threads (i3s) = 4 single threads (or two double)
6Mb L3, 4 cores, 4 threads (i5s) = 3 double threads, affinity 7
8Mb L3, 4 cores, 4 or 8 threads (i7s) = 4 double threads

If you miner cannot use both single and double threads at the same time, launch two individual instances.