VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS22.27%
Net Worth
1.404USD
STEEM
1.778STEEM
SBD
2.002SBD
Effective Power
6.883SP
├── Own SP
5.861SP
└── Incoming DelegationsDeleg
+1.022SP
Detailed Balance
| STEEM | ||
| balance | 1.778STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 5.861SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 1.022SP | SP |
| Effective Power | 6.883SP | SP |
| Reward SP (pending) | 0.000SP | SP |
| SBD | ||
| sbd_balance | 2.002SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.000SBD | SBD |
{
"balance": "1.778 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "9531.216811 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "1662.599618 VESTS",
"sbd_balance": "2.002 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.000 SBD",
"conversions": []
}Account Info
| name | cuchicucha |
| id | 1050169 |
| rank | 175,793 |
| reputation | 105862749212 |
| created | 2018-06-22T11:04:39 |
| recovery_account | steem |
| proxy | None |
| post_count | 111 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2018-09-16T09:11:36 |
| last_root_post | 2018-09-16T09:11:36 |
| last_vote_time | 2018-09-16T09:12:18 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | 0 |
| balance | 1.778 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 2.002 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 9531.216811 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 1662.599618 VESTS |
| reward_vesting_balance | 0.000000 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 2018-06-29T21:47:33 |
| mined | No |
| sbd_seconds | 1,906,820,916 |
| sbd_last_interest_payment | 2018-09-04T14:17:00 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"id": 1050169,
"name": "cuchicucha",
"owner": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM51uz6Erpz5CsSeB2RNfvXAsj92jbVL1fYrdJfMVjsjQBcEJua3",
1
]
]
},
"active": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM67R6r6fpH6HARuj7zZQ5eBotTAyYozEVA4iS8SYkmszwjezwri",
1
]
]
},
"posting": {
"weight_threshold": 1,
"account_auths": [
[
"bottracker.app",
1
]
],
"key_auths": [
[
"STM5o1EHGhrScMNLKrvfjCpeueMBDoP6jmg37hzNcM2j76KVCdfhj",
1
]
]
},
"memo_key": "STM5zjemrgcj6YhHKPUDSYMeDuTL3vf37hvF4FpLFMwwxNVi9btmz",
"json_metadata": "{\"profile\":{\"profile_image\":\"https://cdn.steemitimages.com/DQmcXB16gZu1vihiCSdz6KcyLGzWGFvq5UJtstZBcu1cnzA/FB_IMG_1529666104006.jpg\",\"cover_image\":\"https://cdn.steemitimages.com/DQmQfezwpsAUvDtZHUTsGJhhAYRSADyBpcQMrfhCSPryS5x/FB_IMG_1529666311115.jpg\",\"name\":\"Cucha\",\"about\":\"Machine Learning Expert and Computer Vision Engineer\",\"location\":\"Aalborg, Denmark\"}}",
"posting_json_metadata": "{\"profile\":{\"profile_image\":\"https://cdn.steemitimages.com/DQmcXB16gZu1vihiCSdz6KcyLGzWGFvq5UJtstZBcu1cnzA/FB_IMG_1529666104006.jpg\",\"cover_image\":\"https://cdn.steemitimages.com/DQmQfezwpsAUvDtZHUTsGJhhAYRSADyBpcQMrfhCSPryS5x/FB_IMG_1529666311115.jpg\",\"name\":\"Cucha\",\"about\":\"Machine Learning Expert and Computer Vision Engineer\",\"location\":\"Aalborg, Denmark\"}}",
"proxy": "",
"last_owner_update": "1970-01-01T00:00:00",
"last_account_update": "2018-06-29T21:47:33",
"created": "2018-06-22T11:04:39",
"mined": false,
"recovery_account": "steem",
"last_account_recovery": "1970-01-01T00:00:00",
"reset_account": "null",
"comment_count": 0,
"lifetime_vote_count": 0,
"post_count": 111,
"can_vote": true,
"voting_manabar": {
"current_mana": "11193816429",
"last_update_time": 1754159760
},
"downvote_manabar": {
"current_mana": 2798454107,
"last_update_time": 1754159760
},
"voting_power": 0,
"balance": "1.778 STEEM",
"savings_balance": "0.000 STEEM",
"sbd_balance": "2.002 SBD",
"sbd_seconds": "1906820916",
"sbd_seconds_last_update": "2018-09-15T14:51:18",
"sbd_last_interest_payment": "2018-09-04T14:17:00",
"savings_sbd_balance": "0.000 SBD",
"savings_sbd_seconds": "0",
"savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
"savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_withdraw_requests": 0,
"reward_sbd_balance": "0.000 SBD",
"reward_steem_balance": "0.000 STEEM",
"reward_vesting_balance": "0.000000 VESTS",
"reward_vesting_steem": "0.000 STEEM",
"vesting_shares": "9531.216811 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "1662.599618 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"withdrawn": 0,
"to_withdraw": 0,
"withdraw_routes": 0,
"curation_rewards": 23,
"posting_rewards": 9131,
"proxied_vsf_votes": [
0,
0,
0,
0
],
"witnesses_voted_for": 0,
"last_post": "2018-09-16T09:11:36",
"last_root_post": "2018-09-16T09:11:36",
"last_vote_time": "2018-09-16T09:12:18",
"post_bandwidth": 0,
"pending_claimed_accounts": 0,
"vesting_balance": "0.000 STEEM",
"reputation": "105862749212",
"transfer_history": [],
"market_history": [],
"post_history": [],
"vote_history": [],
"other_history": [],
"witness_votes": [],
"tags_usage": [],
"guest_bloggers": [],
"rank": 175793
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
steemdelegated 1.022 SP to @cuchicucha2025/08/02 18:36:00
steemdelegated 1.022 SP to @cuchicucha
2025/08/02 18:36:00
| delegator | steem |
| delegatee | cuchicucha |
| vesting shares | 1662.599618 VESTS |
| Transaction Info | Block #97866010/Trx 10722e882c6cb23fd453d8b5179feab31d95e509 |
View Raw JSON Data
{
"trx_id": "10722e882c6cb23fd453d8b5179feab31d95e509",
"block": 97866010,
"trx_in_block": 7,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2025-08-02T18:36:00",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "cuchicucha",
"vesting_shares": "1662.599618 VESTS"
}
]
}steemdelegated 1.125 SP to @cuchicucha2022/03/10 06:02:06
steemdelegated 1.125 SP to @cuchicucha
2022/03/10 06:02:06
| delegator | steem |
| delegatee | cuchicucha |
| vesting shares | 1828.872246 VESTS |
| Transaction Info | Block #62291421/Trx 8f63b5225b0bacc1cb8a4f206688880f05c1a4f8 |
View Raw JSON Data
{
"trx_id": "8f63b5225b0bacc1cb8a4f206688880f05c1a4f8",
"block": 62291421,
"trx_in_block": 3,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-03-10T06:02:06",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "cuchicucha",
"vesting_shares": "1828.872246 VESTS"
}
]
}lasttime01replied to @cuchicucha / q0jruq2019/11/06 12:26:51
lasttime01replied to @cuchicucha / q0jruq
2019/11/06 12:26:51
| parent author | cuchicucha |
| parent permlink | homemade-keto-burgers |
| author | lasttime01 |
| permlink | q0jruq |
| title | |
| body | I might as well try this! Looks good. |
| json metadata | {"app":"steemit/0.1"} |
| Transaction Info | Block #37937434/Trx e570ae1f4d6a1d8f9b841a6610c18a79e89dc184 |
View Raw JSON Data
{
"trx_id": "e570ae1f4d6a1d8f9b841a6610c18a79e89dc184",
"block": 37937434,
"trx_in_block": 5,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2019-11-06T12:26:51",
"op": [
"comment",
{
"parent_author": "cuchicucha",
"parent_permlink": "homemade-keto-burgers",
"author": "lasttime01",
"permlink": "q0jruq",
"title": "",
"body": "I might as well try this! Looks good.",
"json_metadata": "{\"app\":\"steemit/0.1\"}"
}
]
}2019/06/22 13:23:54
2019/06/22 13:23:54
| parent author | cuchicucha |
| parent permlink | machine-learning-stanford-university-coursera-week-1-quiz-1-introduction |
| author | steemitboard |
| permlink | steemitboard-notify-cuchicucha-20190622t132353000z |
| title | |
| body | Congratulations @cuchicucha! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@cuchicucha/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@cuchicucha) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=cuchicucha)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmQWnM36SWCPGn98nY83M1ArgweMz5fnovQEp2E4FiDdug/Wolfhart_header.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart">The Steem community has lost an epic member! Farewell @woflhart!</a></td></tr><tr><td><a href="https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed"><img src="https://steemitimages.com/64x128/http://i.cubeupload.com/7CiQEO.png"></a></td><td><a href="https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed">SteemitBoard - Witness Update</a></td></tr><tr><td><a href="https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmUphCGZFWgt6bJ1XTtunV7esnwy6bxnGqcLcHAV3NEqnQ/meetup-rocky-mountain.png"></a></td><td><a href="https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge">Do not miss the coming Rocky Mountain Steem Meetup and get a new community badge!</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes! |
| json metadata | {"image":["https://steemitboard.com/img/notify.png"]} |
| Transaction Info | Block #34023093/Trx 158f442650b4a1d1d0cabf28df2197f90eca7b07 |
View Raw JSON Data
{
"trx_id": "158f442650b4a1d1d0cabf28df2197f90eca7b07",
"block": 34023093,
"trx_in_block": 2,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2019-06-22T13:23:54",
"op": [
"comment",
{
"parent_author": "cuchicucha",
"parent_permlink": "machine-learning-stanford-university-coursera-week-1-quiz-1-introduction",
"author": "steemitboard",
"permlink": "steemitboard-notify-cuchicucha-20190622t132353000z",
"title": "",
"body": "Congratulations @cuchicucha! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@cuchicucha/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@cuchicucha) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=cuchicucha)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmQWnM36SWCPGn98nY83M1ArgweMz5fnovQEp2E4FiDdug/Wolfhart_header.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart\">The Steem community has lost an epic member! Farewell @woflhart!</a></td></tr><tr><td><a href=\"https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/7CiQEO.png\"></a></td><td><a href=\"https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed\">SteemitBoard - Witness Update</a></td></tr><tr><td><a href=\"https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmUphCGZFWgt6bJ1XTtunV7esnwy6bxnGqcLcHAV3NEqnQ/meetup-rocky-mountain.png\"></a></td><td><a href=\"https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge\">Do not miss the coming Rocky Mountain Steem Meetup and get a new community badge!</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
"json_metadata": "{\"image\":[\"https://steemitboard.com/img/notify.png\"]}"
}
]
}merlin7sent 0.001 STEEM to @cuchicucha- "***Have you heard of magic dice in steem platform,which doubles your STEEM and SBD,check this link and register to double your STEEM/SBD https://bit.ly/magicdice2"2018/12/17 08:45:12
merlin7sent 0.001 STEEM to @cuchicucha- "***Have you heard of magic dice in steem platform,which doubles your STEEM and SBD,check this link and register to double your STEEM/SBD https://bit.ly/magicdice2"
2018/12/17 08:45:12
| from | merlin7 |
| to | cuchicucha |
| amount | 0.001 STEEM |
| memo | ***Have you heard of magic dice in steem platform,which doubles your STEEM and SBD,check this link and register to double your STEEM/SBD https://bit.ly/magicdice2 |
| Transaction Info | Block #28637938/Trx 6d6c04d7cc9dae155e425e86162260a01199b1b0 |
View Raw JSON Data
{
"trx_id": "6d6c04d7cc9dae155e425e86162260a01199b1b0",
"block": 28637938,
"trx_in_block": 31,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2018-12-17T08:45:12",
"op": [
"transfer",
{
"from": "merlin7",
"to": "cuchicucha",
"amount": "0.001 STEEM",
"memo": "***Have you heard of magic dice in steem platform,which doubles your STEEM and SBD,check this link and register to double your STEEM/SBD https://bit.ly/magicdice2"
}
]
}steemdelegated 1.237 SP to @cuchicucha2018/12/16 10:33:57
steemdelegated 1.237 SP to @cuchicucha
2018/12/16 10:33:57
| delegator | steem |
| delegatee | cuchicucha |
| vesting shares | 2011.767387 VESTS |
| Transaction Info | Block #28611325/Trx 7f1c526746116e883421af44619e575632c9ab58 |
View Raw JSON Data
{
"trx_id": "7f1c526746116e883421af44619e575632c9ab58",
"block": 28611325,
"trx_in_block": 14,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2018-12-16T10:33:57",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "cuchicucha",
"vesting_shares": "2011.767387 VESTS"
}
]
}steemdelegated 12.715 SP to @cuchicucha2018/11/26 17:07:30
steemdelegated 12.715 SP to @cuchicucha
2018/11/26 17:07:30
| delegator | steem |
| delegatee | cuchicucha |
| vesting shares | 20678.545317 VESTS |
| Transaction Info | Block #28043491/Trx d227693b935f616fe24a0bad4a5f7c93604350c6 |
View Raw JSON Data
{
"trx_id": "d227693b935f616fe24a0bad4a5f7c93604350c6",
"block": 28043491,
"trx_in_block": 31,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2018-11-26T17:07:30",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "cuchicucha",
"vesting_shares": "20678.545317 VESTS"
}
]
}merlin7sent 0.001 STEEM to @cuchicucha- "=>Grow Fast in less time, promote your post with nearly 76,000 Following+ 19000 active (collaborated) followers, send 1.5 SBD/2STEEM to 2SBD/2.5STEEM to 2.5SBD/3STEEM to 3SBD/4STEEM to 4SBD/5STEEM ac..."2018/10/31 18:51:15
merlin7sent 0.001 STEEM to @cuchicucha- "=>Grow Fast in less time, promote your post with nearly 76,000 Following+ 19000 active (collaborated) followers, send 1.5 SBD/2STEEM to 2SBD/2.5STEEM to 2.5SBD/3STEEM to 3SBD/4STEEM to 4SBD/5STEEM ac..."
2018/10/31 18:51:15
| from | merlin7 |
| to | cuchicucha |
| amount | 0.001 STEEM |
| memo | =>Grow Fast in less time, promote your post with nearly 76,000 Following+ 19000 active (collaborated) followers, send 1.5 SBD/2STEEM to 2SBD/2.5STEEM to 2.5SBD/3STEEM to 3SBD/4STEEM to 4SBD/5STEEM according to service needed.. Invest in your account to succeed! Find new friends/voters who will vote your posts daily. Put posts url in memo and @merlin7 ( 51,800 SP) will resteem your post + 100% upvote. Min 60+ accounts upvote from active followers.◀◀ +LOYALTY BONUS FREE EVERYDAY+ NEW *ACTIVE*FOLLOWERS + ▶▶ 20 SBD PRIZE MONEY FOR HIGHEST USER EVERY WEEK◀◀│ ▶▶HURRY! MONTHLY LOTTERY OF 25 SBD TO 3 INDIVIDUAL │ ◀◀Subscribe weekly service with 10 STEEM ◀◀│More than 30 customers above reputation 60 prefer this service** Merlin7 ranks** 07** in TOP CURATORS OF STEEMIT https://steemit.com/bisteemit/@boddhisattva/top-200-effective-steemit-curators-in-cn-category-for-the-last-week-2018-09-24-2018-09-30 |
| Transaction Info | Block #27297261/Trx 1e134277c02d0368d04c776b24e334dd3c9f41bc |
View Raw JSON Data
{
"trx_id": "1e134277c02d0368d04c776b24e334dd3c9f41bc",
"block": 27297261,
"trx_in_block": 38,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2018-10-31T18:51:15",
"op": [
"transfer",
{
"from": "merlin7",
"to": "cuchicucha",
"amount": "0.001 STEEM",
"memo": "=>Grow Fast in less time, promote your post with nearly 76,000 Following+ 19000 active (collaborated) followers, send 1.5 SBD/2STEEM to 2SBD/2.5STEEM to 2.5SBD/3STEEM to 3SBD/4STEEM to 4SBD/5STEEM according to service needed.. Invest in your account to succeed! Find new friends/voters who will vote your posts daily. Put posts url in memo and @merlin7 ( 51,800 SP) will resteem your post + 100% upvote. Min 60+ accounts upvote from active followers.◀◀ +LOYALTY BONUS FREE EVERYDAY+ NEW *ACTIVE*FOLLOWERS + ▶▶ 20 SBD PRIZE MONEY FOR HIGHEST USER EVERY WEEK◀◀│ ▶▶HURRY! MONTHLY LOTTERY OF 25 SBD TO 3 INDIVIDUAL │ ◀◀Subscribe weekly service with 10 STEEM ◀◀│More than 30 customers above reputation 60 prefer this service** Merlin7 ranks** 07** in TOP CURATORS OF STEEMIT https://steemit.com/bisteemit/@boddhisattva/top-200-effective-steemit-curators-in-cn-category-for-the-last-week-2018-09-24-2018-09-30"
}
]
}artcitysent 0.001 STEEM to @cuchicucha- "►►► Hi ! You think your post is underrated ? Send 1 SBD or STEEM to @artcity , ☑ Resteem to 16.000+ Followers , ☑ +150 Upvote , ☑ ArtCity 100% Upvote . URL as Memo . Service Active 24/7"2018/09/19 18:55:39
artcitysent 0.001 STEEM to @cuchicucha- "►►► Hi ! You think your post is underrated ? Send 1 SBD or STEEM to @artcity , ☑ Resteem to 16.000+ Followers , ☑ +150 Upvote , ☑ ArtCity 100% Upvote . URL as Memo . Service Active 24/7"
2018/09/19 18:55:39
| from | artcity |
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| memo | ►►► Hi ! You think your post is underrated ? Send 1 SBD or STEEM to @artcity , ☑ Resteem to 16.000+ Followers , ☑ +150 Upvote , ☑ ArtCity 100% Upvote . URL as Memo . Service Active 24/7 |
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}2018/09/17 06:10:12
2018/09/17 06:10:12
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| body | I'm hungry chef. you take a long time to cook :)) |
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2018/09/16 23:00:36
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2018/09/16 12:13:06
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}cuchicuchapublished a new post: machine-learning-stanford-university-coursera-week-1-quiz-1-introduction2018/09/16 09:12:33
cuchicuchapublished a new post: machine-learning-stanford-university-coursera-week-1-quiz-1-introduction
2018/09/16 09:12:33
| parent author | |
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| permlink | machine-learning-stanford-university-coursera-week-1-quiz-1-introduction |
| title | Machine Learning - Stanford University - Coursera - Week 1 - Quiz 1 (Introduction) |
| body | # Machine Learning Week 1, Quiz 1 - Introduction, Stanford University, Coursera [x] Represents selected/correct answer [ ] Not selected/incorrect answer ## Question 1 A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. WHat would be a reasonable choice for P? [ ] The weather prediction task. [ ] The process of the algorithm examining a large amount of historical weather data. [ ] None of these. [x] The probability of it correctly predicting a future date's weather. A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. In this setting, what is T? [ ] The probability of it correctly predicting a future date's weather. [x] The weather prediction task. [ ] The process of the algorithm examining a large amount of historical weather data. [ ] None of these. ## Question 2 The amount of rain that falls in a day is usually measured in either millimiters (mm) or inches. Suppose you use a learning algorithm to predict how much rain will fall tomorrow. Would you treat this as a classification or a regression problem? [ ] Classification [x] Regression Suppose you are working on weather prediction, and your weather station makes one of three predictions for each day's weather: Sunny, Cloudy or Rainy. You'd like to use a learning algorithm to predict tomorrow's weather. Would you treat this as a classification or a regression problem? [ ] Regression [x] Classification ## Question 3 Suppose you are working on stock market prediction. You would like to predict whether or not a certain company will win a patent infringement lawsuit (by training on data of companies that had to defend against similar lawsuits). Would you treat this as a classification or a regression problem? [x] Classification [ ] Regression Suppose you are working on stock market prediction. You would like to predict whether or not a certain company will declare bankruptcy within the next 7 days (by training on data of similar companies that had previously been at risk of bankruptcy). Would you treat this as a classification or a regression problem? [x] Classification [ ] Regression Suppose you are working on stock market prediction, Typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow. Would you treat this as a classification or a regression problem? [x] Regression [ ] Classification ## Question 4 Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn form. [ ] Examine a large collection of emails that are known to be spam email, to discover if there are sub-types of spam mail. [ ] Take a collection of 1000 essays written on the US Economy, and find a way to automatically group these essays into a small number of groups of essays that are somehow "similar" or "related". [x] Given 50 articles written by male authors, and 50 articles written by female authors, learn to predict the gender of a new manuscript's author (when the identity of this author is unknown). [x] Given historical data of children's ages and heights, predict children's height as a function of their age. Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn from. [x] Given genetic (DNA) data from a person, predict the odds of him/her developing diabetes over the next 10 years. [x] Examine the statistics of two football teams, and predict which team will win tomorrow's match (given historical data of teams' wins/losses to learn from). [ ] Examine a large collection of emails that are known to be spam email, to discover if there are sub-types of spam mail. [ ] Take a collection of 1000 essays written on the US Economy, and find a way to automatically group these essays into a small number of groups of essays that are somehow "similar" or "related". ## Question 5 Which of these is a reasonable definition of machine learning? [ ] Machine learning learns from labeled data. [ ] Machine learning is the science of programming computers. [ ] Machine learning is the field of allowing robots to act intelligently. [x] Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed. |
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"body": "# Machine Learning Week 1, Quiz 1 - Introduction, Stanford University, Coursera\n\n[x] Represents selected/correct answer\n[ ] Not selected/incorrect answer\n\n## Question 1\n\nA computer program is said to learn from experience E with\nrespect to some task T and some performance measure P if its\nperformance on T, as measured by P, improves with experience E.\nSuppose we feed a learning algorithm a lot of historical weather\ndata, and have it learn to predict weather. WHat would be a\nreasonable choice for P?\n\n[ ] The weather prediction task.\n[ ] The process of the algorithm examining a large amount of historical weather data.\n[ ] None of these.\n[x] The probability of it correctly predicting a future date's weather.\n\n\nA computer program is said to learn from experience E with\nrespect to some task T and some performance measure P if its\nperformance on T, as measured by P, improves with experience E.\nSuppose we feed a learning algorithm a lot of historical weather\ndata, and have it learn to predict weather. In this setting, what is T?\n\n[ ] The probability of it correctly predicting a future date's weather.\n[x] The weather prediction task.\n[ ] The process of the algorithm examining a large amount of historical weather data.\n[ ] None of these.\n\n## Question 2\n\nThe amount of rain that falls in a day is usually measured in \neither millimiters (mm) or inches. Suppose you use a learning\nalgorithm to predict how much rain will fall tomorrow.\nWould you treat this as a classification or a regression problem?\n\n[ ] Classification\n[x] Regression\n\nSuppose you are working on weather prediction, and your weather\nstation makes one of three predictions for each day's weather:\nSunny, Cloudy or Rainy. You'd like to use a learning algorithm\nto predict tomorrow's weather.\nWould you treat this as a classification or a regression problem?\n\n[ ] Regression\n[x] Classification\n\n## Question 3\n\nSuppose you are working on stock market prediction. You would like to predict whether or not\na certain company will win a patent infringement lawsuit (by training on data of companies\nthat had to defend against similar lawsuits). Would you treat this as a classification or a\nregression problem?\n\n[x] Classification\n[ ] Regression\n\nSuppose you are working on stock market prediction. You would like to predict whether or not\na certain company will declare bankruptcy within the next 7 days (by training on data of\nsimilar companies that had previously been at risk of bankruptcy). Would you treat this as a\nclassification or a regression problem?\n\n[x] Classification\n[ ] Regression\n\nSuppose you are working on stock market prediction, Typically\ntens of millions of shares of Microsoft stock are traded\n(i.e., bought/sold) each day. You would like to predict the\nnumber of Microsoft shares that will be traded tomorrow.\nWould you treat this as a classification or a regression problem?\n\n[x] Regression\n[ ] Classification\n\n## Question 4\n\nSome of the problems below are best addressed using a supervised\nlearning algorithm, and the others with an unsupervised\nlearning algorithm. Which of the following would you apply\nsupervised learning to? (Select all that apply.) In each case, assume some appropriate\ndataset is available for your algorithm to learn form.\n\n[ ] Examine a large collection of emails that are known to be spam email, to discover if\nthere are sub-types of spam mail.\n[ ] Take a collection of 1000 essays written on the US Economy, and find a way to\nautomatically group these essays into a small number of groups of essays that are\nsomehow \"similar\" or \"related\".\n[x] Given 50 articles written by male authors, and 50 articles written by female authors,\nlearn to predict the gender of a new manuscript's author (when the identity of this\nauthor is unknown).\n[x] Given historical data of children's ages and heights, predict children's height as a\nfunction of their age.\n\nSome of the problems below are best addressed using a supervised learning algorithm, and\nthe others with an unsupervised learning algorithm. Which of the following would you apply\nsupervised learning to? (Select all that apply.) In each case, assume some appropriate dataset\nis available for your algorithm to learn from.\n\n[x] Given genetic (DNA) data from a person, predict the odds of him/her developing\ndiabetes over the next 10 years.\n[x] Examine the statistics of two football teams, and predict which team will win\ntomorrow's match (given historical data of teams' wins/losses to learn from).\n[ ] Examine a large collection of emails that are known to be spam email, to discover if\nthere are sub-types of spam mail.\n[ ] Take a collection of 1000 essays written on the US Economy, and find a way to\nautomatically group these essays into a small number of groups of essays that are\nsomehow \"similar\" or \"related\".\n\n## Question 5\n\nWhich of these is a reasonable definition of machine learning?\n\n[ ] Machine learning learns from labeled data.\n[ ] Machine learning is the science of programming computers.\n[ ] Machine learning is the field of allowing robots to act intelligently.\n[x] Machine learning is the field of study that gives computers the ability to learn\nwithout being explicitly programmed.",
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cuchicuchapublished a new post: machine-learning-stanford-university-coursera-week-1-quiz-1-introduction
2018/09/16 09:12:06
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}cuchicuchapublished a new post: machine-learning-stanford-university-coursera-week-1-quiz-1-introduction2018/09/16 09:11:36
cuchicuchapublished a new post: machine-learning-stanford-university-coursera-week-1-quiz-1-introduction
2018/09/16 09:11:36
| parent author | |
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| author | cuchicucha |
| permlink | machine-learning-stanford-university-coursera-week-1-quiz-1-introduction |
| title | Machine Learning - Stanford University - Coursera - Week 1 - Quiz 1 (Introduction) |
| body | # Machine Learning Week 1, Quiz 1 - Introduction, Stanford University, Coursera [x] Represents selected/correct answer [ ] Not selected/incorrect answer ## Question 1 A computer program is said to learn from experience E with respect to some task T and some performance meaure P if its performance on T, as measured by P, improves with experience E. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. WHat would be a reasonable choice for P? [ ] The weather prediction task. [ ] The process of the algorithm examining a large amount of historical weather data. [ ] None of these. [x] The probability of it correctly predicting a future date's weather. A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E. Suppose we feed a learning algorithm a lot of historical weather data, and have it learn to predict weather. In this setting, what is T? [ ] The probability of it correctly predicting a future date's weather. [x] The weather prediction task. [ ] The process of the algorithm examining a large amount of historical weather data. [ ] None of these. ## Question 2 The amount of rain that falls in a day is usually measured in either millimiters (mm) or inches. Suppose you use a learning algorithm to predict how much rain will fall tomorrow. Would you treat this as a classification or a regression problem? [ ] Classification [x] Regression Suppose you are working on weather prediction, and your weather station makes one of three predictions for each day's weather: Sunny, Cloudy or Rainy. You'd like to use a learning algorithm to predict tomorrow's weather. Would you treat this as a classification or a regression problem? [ ] Regression [x] Classification ## Question 3 Suppose you are working on stock market prediction. You would like to predict whether or not a certain company will win a patent infringement lawsuit (by training on data of companies that had to defend against similar lawsuits). Would you treat this as a classification or a regression problem? [x] Classification [ ] Regression Suppose you are working on stock market prediction. You would like to predict whether or not a certain company will declare bankruptcy within the next 7 days (by training on data of similar companies that had previously been at risk of bankruptcy). Would you treat this as a classification or a regression problem? [x] Classification [ ] Regression Suppose you are working on stock market prediction, Typically tens of millions of shares of Microsoft stock are traded (i.e., bought/sold) each day. You would like to predict the number of Microsoft shares that will be traded tomorrow. Would you treat this as a classification or a regression problem? [x] Regression [ ] Classification ## Question 4 Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn form. [ ] Examine a large collection of emails that are known to be spam email, to discover if there are sub-types of spam mail. [ ] Take a collection of 1000 essays written on the US Economy, and find a way to automatically group these essays into a small number of groups of essays that are somehow "similar" or "related". [x] Given 50 articles written by male authors, and 50 articles written by female authors, learn to predict the gender of a new manuscript's author (when the identity of this author is unknown). [x] Given historical data of children's ages and heights, predict children's height as a function of their age. Some of the problems below are best addressed using a supervised learning algorithm, and the others with an unsupervised learning algorithm. Which of the following would you apply supervised learning to? (Select all that apply.) In each case, assume some appropriate dataset is available for your algorithm to learn from. [x] Given genetic (DNA) data from a person, predict the odds of him/her developing diabetes over the next 10 years. [x] Examine the statistics of two football teams, and predict which team will win tomorrow's match (given historical data of teams' wins/losses to learn from). [ ] Examine a large collection of emails that are known to be spam email, to discover if there are sub-types of spam mail. [ ] Take a collection of 1000 essays written on the US Economy, and find a way to automatically group these essays into a small number of groups of essays that are somehow "similar" or "related". ## Question 5 Which of these is a reasonable definition of machine learning? [ ] Machine learning learns from labeled data. [ ] Machine learning is the science of programming computers. [ ] Machine learning is the field of allowing robots to act intelligently. [x] Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed. |
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"body": "# Machine Learning Week 1, Quiz 1 - Introduction, Stanford University, Coursera\n\n[x] Represents selected/correct answer\n[ ] Not selected/incorrect answer\n\n## Question 1\n\nA computer program is said to learn from experience E with\nrespect to some task T and some performance meaure P if its\nperformance on T, as measured by P, improves with experience E.\nSuppose we feed a learning algorithm a lot of historical weather\ndata, and have it learn to predict weather. WHat would be a\nreasonable choice for P?\n\n[ ] The weather prediction task.\n[ ] The process of the algorithm examining a large amount of historical weather data.\n[ ] None of these.\n[x] The probability of it correctly predicting a future date's weather.\n\n\nA computer program is said to learn from experience E with\nrespect to some task T and some performance measure P if its\nperformance on T, as measured by P, improves with experience E.\nSuppose we feed a learning algorithm a lot of historical weather\ndata, and have it learn to predict weather. In this setting, what is T?\n\n[ ] The probability of it correctly predicting a future date's weather.\n[x] The weather prediction task.\n[ ] The process of the algorithm examining a large amount of historical weather data.\n[ ] None of these.\n\n## Question 2\n\nThe amount of rain that falls in a day is usually measured in \neither millimiters (mm) or inches. Suppose you use a learning\nalgorithm to predict how much rain will fall tomorrow.\nWould you treat this as a classification or a regression problem?\n\n[ ] Classification\n[x] Regression\n\nSuppose you are working on weather prediction, and your weather\nstation makes one of three predictions for each day's weather:\nSunny, Cloudy or Rainy. You'd like to use a learning algorithm\nto predict tomorrow's weather.\nWould you treat this as a classification or a regression problem?\n\n[ ] Regression\n[x] Classification\n\n## Question 3\n\nSuppose you are working on stock market prediction. You would like to predict whether or not\na certain company will win a patent infringement lawsuit (by training on data of companies\nthat had to defend against similar lawsuits). Would you treat this as a classification or a\nregression problem?\n\n[x] Classification\n[ ] Regression\n\nSuppose you are working on stock market prediction. You would like to predict whether or not\na certain company will declare bankruptcy within the next 7 days (by training on data of\nsimilar companies that had previously been at risk of bankruptcy). Would you treat this as a\nclassification or a regression problem?\n\n[x] Classification\n[ ] Regression\n\nSuppose you are working on stock market prediction, Typically\ntens of millions of shares of Microsoft stock are traded\n(i.e., bought/sold) each day. You would like to predict the\nnumber of Microsoft shares that will be traded tomorrow.\nWould you treat this as a classification or a regression problem?\n\n[x] Regression\n[ ] Classification\n\n## Question 4\n\nSome of the problems below are best addressed using a supervised\nlearning algorithm, and the others with an unsupervised\nlearning algorithm. Which of the following would you apply\nsupervised learning to? (Select all that apply.) In each case, assume some appropriate\ndataset is available for your algorithm to learn form.\n\n[ ] Examine a large collection of emails that are known to be spam email, to discover if\nthere are sub-types of spam mail.\n[ ] Take a collection of 1000 essays written on the US Economy, and find a way to\nautomatically group these essays into a small number of groups of essays that are\nsomehow \"similar\" or \"related\".\n[x] Given 50 articles written by male authors, and 50 articles written by female authors,\nlearn to predict the gender of a new manuscript's author (when the identity of this\nauthor is unknown).\n[x] Given historical data of children's ages and heights, predict children's height as a\nfunction of their age.\n\nSome of the problems below are best addressed using a supervised learning algorithm, and\nthe others with an unsupervised learning algorithm. Which of the following would you apply\nsupervised learning to? (Select all that apply.) In each case, assume some appropriate dataset\nis available for your algorithm to learn from.\n\n[x] Given genetic (DNA) data from a person, predict the odds of him/her developing\ndiabetes over the next 10 years.\n[x] Examine the statistics of two football teams, and predict which team will win\ntomorrow's match (given historical data of teams' wins/losses to learn from).\n[ ] Examine a large collection of emails that are known to be spam email, to discover if\nthere are sub-types of spam mail.\n[ ] Take a collection of 1000 essays written on the US Economy, and find a way to\nautomatically group these essays into a small number of groups of essays that are\nsomehow \"similar\" or \"related\".\n\n## Question 5\n\nWhich of these is a reasonable definition of machine learning?\n\n[ ] Machine learning learns from labeled data.\n[ ] Machine learning is the science of programming computers.\n[ ] Machine learning is the field of allowing robots to act intelligently.\n[x] Machine learning is the field of study that gives computers the ability to learn\nwithout being explicitly programmed.",
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}ghopupvoted (20.00%) @cuchicucha / keto-cooking-vlog2018/09/15 23:21:57
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}st3llarupvoted (3.00%) @cuchicucha / keto-cooking-vlog2018/09/15 17:02:33
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2018/09/15 16:51:30
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}cuchicuchaupvoted (100.00%) @kabasakal / re-cuchicucha-keto-cooking-vlog-20180915t164508118z2018/09/15 16:51:18
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}kabasakalupvoted (50.00%) @cuchicucha / keto-cooking-vlog2018/09/15 16:45:24
kabasakalupvoted (50.00%) @cuchicucha / keto-cooking-vlog
2018/09/15 16:45:24
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2018/09/15 16:45:12
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| body | very good |
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}muliadisteemupvoted (53.70%) @cuchicucha / keto-cooking-vlog2018/09/15 16:36:24
muliadisteemupvoted (53.70%) @cuchicucha / keto-cooking-vlog
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}cuchicuchaupvoted (100.00%) @cuchicucha / keto-cooking-vlog2018/09/15 16:36:03
cuchicuchaupvoted (100.00%) @cuchicucha / keto-cooking-vlog
2018/09/15 16:36:03
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}cuchicuchapublished a new post: keto-cooking-vlog2018/09/15 16:35:57
cuchicuchapublished a new post: keto-cooking-vlog
2018/09/15 16:35:57
| parent author | |
| parent permlink | food |
| author | cuchicucha |
| permlink | keto-cooking-vlog |
| title | Keto Cooking Vlog |
| body | Hi *steemians*, This is my first cooking video, it is actually a time-lapse, I was just playing a bit around with camera and I thought could be cool to introduce videos in the blog and not only pictures. I will be uploading more videos, probably bit more professional so you can actually see the recipes properly and see how fast you can actually make a very tasty and healthy meal. So here goes the first video, hope you like it. Cheers. <iframe width="560" height="315" src="https://www.youtube.com/embed/DSUsgXLT9GI" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe> p.S: if you have any ideas on how to do the cooking videos, please leave a comment! |
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}cuchicuchaclaimed reward balance: 0.001 SP2018/09/15 14:51:18
cuchicuchaclaimed reward balance: 0.001 SP
2018/09/15 14:51:18
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}2018/09/15 10:54:36
2018/09/15 10:54:36
| parent author | cuchicucha |
| parent permlink | guacamole |
| author | steemitboard |
| permlink | steemitboard-notify-cuchicucha-20180915t105438000z |
| title | |
| body | Congratulations @cuchicucha! You have completed the following achievement on the Steem blockchain and have been rewarded with new badge(s) : [](http://steemitboard.com/@cuchicucha) Award for the number of comments received <sub>_Click on the badge to view your Board of Honor._</sub> <sub>_If you no longer want to receive notifications, reply to this comment with the word_ `STOP`</sub> > Support [SteemitBoard's project](https://steemit.com/@steemitboard)! **[Vote for its witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1)** and **get one more award**! |
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}2018/09/15 09:18:33
2018/09/15 09:18:33
| voter | cuchicucha |
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2018/09/15 09:18:30
| parent author | kabasakal |
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| permlink | re-kabasakal-re-cuchicucha-re-kabasakal-re-cuchicucha-guacamole-20180915t091828380z |
| title | |
| body | ok, Thanks! |
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"body": "ok, Thanks!",
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2018/09/15 09:18:21
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}kabasakalupvoted (100.00%) @cuchicucha / guacamole2018/09/15 07:05:12
kabasakalupvoted (100.00%) @cuchicucha / guacamole
2018/09/15 07:05:12
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}2018/09/15 06:16:00
2018/09/15 06:16:00
| parent author | cuchicucha |
| parent permlink | re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z |
| author | kabasakal |
| permlink | re-cuchicucha-re-kabasakal-re-cuchicucha-guacamole-20180915t061600096z |
| title | |
| body | also a hot breakfast :) |
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}2018/09/15 04:55:36
2018/09/15 04:55:36
| parent author | cuchicucha |
| parent permlink | re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z |
| author | kabasakal |
| permlink | re-cuchicucha-re-kabasakal-re-cuchicucha-guacamole-20180915t045503076z |
| title | |
| body | @@ -59,8 +59,10 @@ hicucha +;) |
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"body": "@@ -59,8 +59,10 @@\n hicucha \n+;)\n",
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}kabasakalupvoted (100.00%) @cuchicucha / re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z2018/09/15 04:55:24
kabasakalupvoted (100.00%) @cuchicucha / re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z
2018/09/15 04:55:24
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}2018/09/15 04:55:06
2018/09/15 04:55:06
| parent author | cuchicucha |
| parent permlink | re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z |
| author | kabasakal |
| permlink | re-cuchicucha-re-kabasakal-re-cuchicucha-guacamole-20180915t045503076z |
| title | |
| body | You can cook "menemen". cooking is easy and delicious @cuchicucha |
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"body": "You can cook \"menemen\". cooking is easy and delicious @cuchicucha ",
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}cuchicuchaupvoted (100.00%) @kabasakal / re-cuchicucha-guacamole-20180914t205538403z2018/09/14 21:15:42
cuchicuchaupvoted (100.00%) @kabasakal / re-cuchicucha-guacamole-20180914t205538403z
2018/09/14 21:15:42
| voter | cuchicucha |
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}2018/09/14 21:15:36
2018/09/14 21:15:36
| parent author | kabasakal |
| parent permlink | re-cuchicucha-guacamole-20180914t205538403z |
| author | cuchicucha |
| permlink | re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z |
| title | |
| body | Would you recommend me an easy turkish recipe? 😁😁😁 |
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"permlink": "re-kabasakal-re-cuchicucha-guacamole-20180914t211533647z",
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"body": "Would you recommend me an easy turkish recipe? 😁😁😁",
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}2018/09/14 20:55:51
2018/09/14 20:55:51
| parent author | cuchicucha |
| parent permlink | guacamole |
| author | kabasakal |
| permlink | re-cuchicucha-guacamole-20180914t205538403z |
| title | |
| body | I am waiting @cuchicucha |
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"body": "I am waiting @cuchicucha",
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}cuchicuchaupvoted (100.00%) @cuchicucha / guacamole2018/09/14 18:41:06
cuchicuchaupvoted (100.00%) @cuchicucha / guacamole
2018/09/14 18:41:06
| voter | cuchicucha |
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| permlink | guacamole |
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}cuchicuchapublished a new post: guacamole2018/09/14 16:44:03
cuchicuchapublished a new post: guacamole
2018/09/14 16:44:03
| parent author | |
| parent permlink | food |
| author | cuchicucha |
| permlink | guacamole |
| title | Guacamole |
| body | Hello *steemians*, Today I wanted to shared with you guys my favorite recipe: guacamole. It is the normal recipe but eventually it is also **keto**. #### Ingredients - Avocado - Red Onion - Red Chilli - Coriander - Salt - Lime Juice - Olive Oil (Optional)  I literally eat it with everything and at any time: breakfast, lunch, or diner. With pizza, in tacos, or even alone. How would you eat it with? Cheers! |
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"body": "Hello *steemians*,\n\nToday I wanted to shared with you guys my favorite recipe: guacamole. It is the normal recipe but eventually it is also **keto**.\n\n#### Ingredients\n\n- Avocado\n- Red Onion\n- Red Chilli\n- Coriander\n- Salt\n- Lime Juice\n- Olive Oil (Optional)\n\n\n\nI literally eat it with everything and at any time: breakfast, lunch, or diner. With pizza, in tacos, or even alone. How would you eat it with? Cheers!",
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}cuchicuchaupvoted (100.00%) @eglep / colors-of-autumn2018/09/14 15:33:45
cuchicuchaupvoted (100.00%) @eglep / colors-of-autumn
2018/09/14 15:33:45
| voter | cuchicucha |
| author | eglep |
| permlink | colors-of-autumn |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25956395/Trx 17b44258af2250fcfa309e972ed20a77c8439331 |
View Raw JSON Data
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}cuchicuchareceived 0.001 SP curation reward for @eglep / unknown-flower2018/09/12 18:39:15
cuchicuchareceived 0.001 SP curation reward for @eglep / unknown-flower
2018/09/12 18:39:15
| curator | cuchicucha |
| reward | 2.022112 VESTS |
| comment author | eglep |
| comment permlink | unknown-flower |
| Transaction Info | Block #25902524/Virtual Operation #13 |
View Raw JSON Data
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"op": [
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"reward": "2.022112 VESTS",
"comment_author": "eglep",
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}cuchicuchaupvoted (100.00%) @eglep / 7xrzrd-colorchallenge-wednesday-yellow-wild-flower2018/09/12 12:40:42
cuchicuchaupvoted (100.00%) @eglep / 7xrzrd-colorchallenge-wednesday-yellow-wild-flower
2018/09/12 12:40:42
| voter | cuchicucha |
| author | eglep |
| permlink | 7xrzrd-colorchallenge-wednesday-yellow-wild-flower |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25895355/Trx 5f3514741a5f690f2babe87d66d748c0739c6ebe |
View Raw JSON Data
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}cuchicuchaupvoted (100.00%) @kabasakal / re-cuchicucha-keto-berries-20180908t203215508z2018/09/08 23:29:51
cuchicuchaupvoted (100.00%) @kabasakal / re-cuchicucha-keto-berries-20180908t203215508z
2018/09/08 23:29:51
| voter | cuchicucha |
| author | kabasakal |
| permlink | re-cuchicucha-keto-berries-20180908t203215508z |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25793163/Trx 0d075f374cf45ce542c3276dc6809fb01ab042a9 |
View Raw JSON Data
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}2018/09/08 23:29:45
2018/09/08 23:29:45
| parent author | kabasakal |
| parent permlink | re-cuchicucha-keto-berries-20180908t203215508z |
| author | cuchicucha |
| permlink | re-kabasakal-re-cuchicucha-keto-berries-20180908t232941680z |
| title | |
| body | great! I'll let you know :D |
| json metadata | {"tags":["food"],"app":"steemit/0.1"} |
| Transaction Info | Block #25793161/Trx 0b6134ff104c0abfb604c6cde591ea7cef734f83 |
View Raw JSON Data
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"body": "great! I'll let you know :D",
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}kabasakalupvoted (50.00%) @cuchicucha / keto-berries2018/09/08 20:32:36
kabasakalupvoted (50.00%) @cuchicucha / keto-berries
2018/09/08 20:32:36
| voter | kabasakal |
| author | cuchicucha |
| permlink | keto-berries |
| weight | 5000 (50.00%) |
| Transaction Info | Block #25789618/Trx 1ed05e0bf27b94fcd873087448b2f6cd79b630ad |
View Raw JSON Data
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}2018/09/08 20:32:18
2018/09/08 20:32:18
| parent author | cuchicucha |
| parent permlink | keto-berries |
| author | kabasakal |
| permlink | re-cuchicucha-keto-berries-20180908t203215508z |
| title | |
| body | When you share a recipe from Turkish cuisine, add me too. Me and my friends want to vote |
| json metadata | {"community":"busy","app":"busy/2.5.6","format":"markdown","tags":["food"],"users":[],"links":[],"image":[]} |
| Transaction Info | Block #25789612/Trx 11258ddee93505f1aef0644650d49d76e4a05696 |
View Raw JSON Data
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}vkarav76upvoted (8.00%) @cuchicucha / amazing-sunset2018/09/07 20:21:18
vkarav76upvoted (8.00%) @cuchicucha / amazing-sunset
2018/09/07 20:21:18
| voter | vkarav76 |
| author | cuchicucha |
| permlink | amazing-sunset |
| weight | 800 (8.00%) |
| Transaction Info | Block #25760602/Trx 061d544e5e73d64927c5aafbcb5ec0525a8814fa |
View Raw JSON Data
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}erdhundupvoted (100.00%) @cuchicucha / amazing-sunset2018/09/07 19:44:36
erdhundupvoted (100.00%) @cuchicucha / amazing-sunset
2018/09/07 19:44:36
| voter | erdhund |
| author | cuchicucha |
| permlink | amazing-sunset |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25759868/Trx 9dc440e868f0918ac2547f90073eed1cd266925d |
View Raw JSON Data
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}museteriupvoted (100.00%) @cuchicucha / amazing-sunset2018/09/07 18:14:27
museteriupvoted (100.00%) @cuchicucha / amazing-sunset
2018/09/07 18:14:27
| voter | museteri |
| author | cuchicucha |
| permlink | amazing-sunset |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25758069/Trx a301eeb84b0276adb7d2161af05227d6299631f0 |
View Raw JSON Data
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"author": "cuchicucha",
"permlink": "amazing-sunset",
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}2018/09/07 18:12:42
2018/09/07 18:12:42
| parent author | cuchicucha |
| parent permlink | amazing-sunset |
| author | hunter2 |
| permlink | re-cuchicucha-amazing-sunset-20180907t181241308z |
| title | |
| body | Chic article. I learned a lot of new things. I signed up and voted. I will be glad to mutual subscription)))) |
| json metadata | {"tags":["photography"],"app":"steemit/0.1"} |
| Transaction Info | Block #25758034/Trx c4c6369277151943c43dd3552f56cedb1c133671 |
View Raw JSON Data
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"title": "",
"body": "Chic article. I learned a lot of new things. I signed up and voted. I will be glad to mutual subscription))))",
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}hunter2upvoted (100.00%) @cuchicucha / amazing-sunset2018/09/07 18:11:48
hunter2upvoted (100.00%) @cuchicucha / amazing-sunset
2018/09/07 18:11:48
| voter | hunter2 |
| author | cuchicucha |
| permlink | amazing-sunset |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25758016/Trx b8e6baaf2a48b0248118420458ad5d3a5ad1b242 |
View Raw JSON Data
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}cuchicuchaupvoted (100.00%) @cuchicucha / amazing-sunset2018/09/07 18:10:48
cuchicuchaupvoted (100.00%) @cuchicucha / amazing-sunset
2018/09/07 18:10:48
| voter | cuchicucha |
| author | cuchicucha |
| permlink | amazing-sunset |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25757996/Trx 810ac1da650b69d428bf7f1f291f6b28160a0f27 |
View Raw JSON Data
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}cuchicuchapublished a new post: amazing-sunset2018/09/07 18:10:33
cuchicuchapublished a new post: amazing-sunset
2018/09/07 18:10:33
| parent author | |
| parent permlink | photography |
| author | cuchicucha |
| permlink | amazing-sunset |
| title | Amazing Sunset |
| body | A picture of an amazing sunset I captured the ither day here in Aalborg, Denmark...  |
| json metadata | {"tags":["photography","landscape","blog","life","lifestyle"],"image":["https://cdn.steemitimages.com/DQmXinwRsGwTyfbZL7Vym5KM6mNcBUNwhMJNPzQNKGhqSLn/IMG_20180801_232015_705.jpg"],"app":"steemit/0.1","format":"markdown"} |
| Transaction Info | Block #25757991/Trx fbf0dda8f8c94ee9bacf9a6e3beff1a815965062 |
View Raw JSON Data
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"timestamp": "2018-09-07T18:10:33",
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"parent_author": "",
"parent_permlink": "photography",
"author": "cuchicucha",
"permlink": "amazing-sunset",
"title": "Amazing Sunset",
"body": "A picture of an amazing sunset I captured the ither day here in Aalborg, Denmark... \n\n",
"json_metadata": "{\"tags\":[\"photography\",\"landscape\",\"blog\",\"life\",\"lifestyle\"],\"image\":[\"https://cdn.steemitimages.com/DQmXinwRsGwTyfbZL7Vym5KM6mNcBUNwhMJNPzQNKGhqSLn/IMG_20180801_232015_705.jpg\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}"
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}cuchicuchaupvoted (100.00%) @cuchicucha / keto-berries2018/09/07 17:54:27
cuchicuchaupvoted (100.00%) @cuchicucha / keto-berries
2018/09/07 17:54:27
| voter | cuchicucha |
| author | cuchicucha |
| permlink | keto-berries |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25757669/Trx b27bba92fc5fdcac13748ca0ad94c2b6c37a5645 |
View Raw JSON Data
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}cuchicuchapublished a new post: keto-berries2018/09/07 17:53:27
cuchicuchapublished a new post: keto-berries
2018/09/07 17:53:27
| parent author | |
| parent permlink | food |
| author | cuchicucha |
| permlink | keto-berries |
| title | Keto Berries |
| body |  Good friday *steemians*, Today I have a very nice and sweet recipe. I dont really know how to name it but I can guarantee you that is the most delicious and easy dessert I have ever made. The base is **heavy cream** blended with **strawberries**, and then I just added some **blueberries** and **raspberries**. Hope you like it. Cheers. |
| json metadata | {"tags":["food","tasteem","health","lifestyle","blog"],"image":["https://cdn.steemitimages.com/DQmY3rVdF2ZVdBtiPSGE97UgMrrzxuD6W8PonV9rR7VejgN/2018-09-07%2005.31.35%201.jpg"],"app":"steemit/0.1","format":"markdown"} |
| Transaction Info | Block #25757649/Trx d5d5c110739ac8ba35cdb1d25ca7a471dd255740 |
View Raw JSON Data
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"body": "\n\nGood friday *steemians*,\n\nToday I have a very nice and sweet recipe. I dont really know how to name it but I can guarantee you that is the most delicious and easy dessert I have ever made. \n\nThe base is **heavy cream** blended with **strawberries**, and then I just added some **blueberries** and **raspberries**.\n\nHope you like it. Cheers.",
"json_metadata": "{\"tags\":[\"food\",\"tasteem\",\"health\",\"lifestyle\",\"blog\"],\"image\":[\"https://cdn.steemitimages.com/DQmY3rVdF2ZVdBtiPSGE97UgMrrzxuD6W8PonV9rR7VejgN/2018-09-07%2005.31.35%201.jpg\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}"
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}eglepupvoted (100.00%) @cuchicucha / zoodles-with-bolognese-sauce2018/09/07 06:05:57
eglepupvoted (100.00%) @cuchicucha / zoodles-with-bolognese-sauce
2018/09/07 06:05:57
| voter | eglep |
| author | cuchicucha |
| permlink | zoodles-with-bolognese-sauce |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25743510/Trx 18987eacf6791f3921f48aa86f07d5f60f0e2c8e |
View Raw JSON Data
{
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}cuchicuchaupvoted (100.00%) @cuchicucha / zoodles-with-bolognese-sauce2018/09/06 17:17:03
cuchicuchaupvoted (100.00%) @cuchicucha / zoodles-with-bolognese-sauce
2018/09/06 17:17:03
| voter | cuchicucha |
| author | cuchicucha |
| permlink | zoodles-with-bolognese-sauce |
| weight | 10000 (100.00%) |
| Transaction Info | Block #25728135/Trx b706e66808bac0b6b4b72ca72da066cebd67fa41 |
View Raw JSON Data
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}cuchicuchapublished a new post: zoodles-with-bolognese-sauce2018/09/06 17:16:54
cuchicuchapublished a new post: zoodles-with-bolognese-sauce
2018/09/06 17:16:54
| parent author | |
| parent permlink | keto |
| author | cuchicucha |
| permlink | zoodles-with-bolognese-sauce |
| title | Zoodles with Bolognese Sauce |
| body | Good day *steemians*, today I bring you a different type of keto recipe. I made this recipe today for the first time, and I have to say that I got very impressed of how tasty it was. So basically the base consist of **zucchini noodles** -this are homemade natural zucchini noodles, just made out of the zucchini vegetable, it doesn't contain flour or anything, I just cut the zucchini as in noodles form-, which I made in a pan with **butter**, **salt**, and **pepper**. The **bolognese sauce** was slow cooked and it contains **butter**, ** yellow onion**, **bacon**, **minced meat** (good quality one 👌), **salt**, **pepper**, **dried oregan**, **chilli flakes** (of course 😅), **sweet pepper**, **tomato paste**, and **chopped tomatoes**.  We really enjoyed this new keto recipe and you don't miss eating real pasta, it fulfills all your "carb" needd !  Hope you like the recipe! Enjoy and cheers! |
| json metadata | {"tags":["keto","diet","food","tasteem","health"],"image":["https://cdn.steemitimages.com/DQmVGABrQYMGrZHDX11suSRygWRQh39CoAeneC5jEoTAoHF/2018-09-06%2003.30.23%202.jpg","https://cdn.steemitimages.com/DQmdKma8fcKwuCWfTfwcjfgBKmL7gVSLijrjmDL9jersr1M/2018-09-06%2003.30.24%201.jpg"],"app":"steemit/0.1","format":"markdown"} |
| Transaction Info | Block #25728132/Trx d81836a268c76b69a3a668a1e66e5c0b24fec888 |
View Raw JSON Data
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"author": "cuchicucha",
"permlink": "zoodles-with-bolognese-sauce",
"title": "Zoodles with Bolognese Sauce",
"body": "Good day *steemians*,\n\ntoday I bring you a different type of keto recipe. I made this recipe today for the first time, and I have to say that I got very impressed of how tasty it was.\n\nSo basically the base consist of **zucchini noodles** -this are homemade natural zucchini noodles, just made out of the zucchini vegetable, it doesn't contain flour or anything, I just cut the zucchini as in noodles form-, which I made in a pan with **butter**, **salt**, and **pepper**.\n\nThe **bolognese sauce** was slow cooked and it contains **butter**, ** yellow onion**, **bacon**, **minced meat** (good quality one 👌), **salt**, **pepper**, **dried oregan**, **chilli flakes** (of course 😅), **sweet pepper**, **tomato paste**, and **chopped tomatoes**.\n\n\n\n\nWe really enjoyed this new keto recipe and you don't miss eating real pasta, it fulfills all your \"carb\" needd !\n\n\n\nHope you like the recipe! Enjoy and cheers!",
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}cuchicuchaupvoted (100.00%) @eglep / unknown-flower2018/09/05 19:05:00
cuchicuchaupvoted (100.00%) @eglep / unknown-flower
2018/09/05 19:05:00
| voter | cuchicucha |
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}eglepupvoted (100.00%) @cuchicucha / pumpkin-soup2018/09/05 18:01:24
eglepupvoted (100.00%) @cuchicucha / pumpkin-soup
2018/09/05 18:01:24
| voter | eglep |
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}2018/09/05 16:49:15
2018/09/05 16:49:15
| parent author | makesushi |
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| author | cuchicucha |
| permlink | re-makesushi-re-cuchicucha-homemade-keto-burgers-20180905t164913420z |
| title | |
| body | Thank you! :D |
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}cuchicuchaupvoted (100.00%) @makesushi / re-cuchicucha-homemade-keto-burgers-20180905t145729406z2018/09/05 16:49:06
cuchicuchaupvoted (100.00%) @makesushi / re-cuchicucha-homemade-keto-burgers-20180905t145729406z
2018/09/05 16:49:06
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cuchicuchaclaimed reward balance: 0.020 STEEM, 0.025 SP
2018/09/05 16:47:42
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}cuchicuchaupvoted (100.00%) @eglep / 3kjbkt-the-contests-of-petals-the-flowers-contest-by-petals2018/09/05 16:33:57
cuchicuchaupvoted (100.00%) @eglep / 3kjbkt-the-contests-of-petals-the-flowers-contest-by-petals
2018/09/05 16:33:57
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}cuchicuchaupvoted (100.00%) @eglep / colorchallenge-tuesday-orange-butterfly2018/09/05 16:33:54
cuchicuchaupvoted (100.00%) @eglep / colorchallenge-tuesday-orange-butterfly
2018/09/05 16:33:54
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}cuchicuchaupvoted (100.00%) @eglep / the-sky-of-my-city2018/09/05 16:33:48
cuchicuchaupvoted (100.00%) @eglep / the-sky-of-my-city
2018/09/05 16:33:48
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Voting Power100.00%
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[]