SEOClerks

fundnation crowdfunding scipt or any crowdfunding script including agriya kickstarter clone

fundnation crowdfunding scipt or any crowdfunding script including agriya kickstarter clone

fundnation crowdfunding scipt or any crowdfunding script including agriya kickstarter clone or others.
Do you also have agriya Kickstarter Clone and also the one at fundraisingscript dotcom,




Be as descriptive as possible. Provide samples and explain what you expect from anyone who accepts this project. The more details you add, the easier it will be for freelancers to live up to your expectations. Bidders will use this description to view and bid on your want.


Requirements

fundnation crowdfunding scipt or any crowdfunding script including agriya kickstarter clone or others.
Do you also have agriya Kickstarter Clone and also the one at fundraisingscriptdotcom,
for sfplatform what templates do you have that come with it as seen at customers.agriyadotcom/products/seed-funding-platform/templates
also do you have http://www.clonescriptsdotcom/script/kickstarter-clone/demo/ do you have the kickstarterclone that is on there
and do you have this one? http://www.clonescriptsdotcom/script/crowd-funding-site/demo/


crowdfunding scipt or any crowdfunding script including agriya kickstarter clone or others.
Do you also have agriya Kickstarter Clone and also the one at fundraisingscript dotcom,
for sfplatform what templates do you have that come with it as seen at customers.agriyadotcom/products/seed-funding-platform/templates
also do you have http://www.clonescriptsdotcom/script/kickstarter-clone/demo/ do you have the kickstarterclone that is on there
and do you have this one? http://www.clonescriptsdotcom/script/crowd-funding-site/demo/


Skills Required

Prog

Bids

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Bid On Listing Created 13 years ago in Programming

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Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='8940' AND A.category=B.CATID AND A.USERID=C.USERID1SELECT A.*, B.name, B.seo, C.username, C.userlevel, C.footer_code, C.rating, C.ratingcount, C.googleplus_profile, C.total_recommendations, C.USERID, C.profilepicture, C.average_response_time, C.lastlogin, C.addtime FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='8940' AND A.category=B.CATID AND A.USERID=C.USERID

/opt/clerks-staging/docroot/viewwant.php 163 () ()

SELECT * FROM ratings_buyer WHERE USERID=989471SELECT sum(good) as thumbup, sum(bad) as thumbdown FROM ratings_buyer WHERE USERID=98947

/opt/clerks-staging/docroot/include/functions/main.php 19523 GetRatingsAsBuyerTotal() ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 8940 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Prog%' ) LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 8940 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Prog%' ) LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 551 () ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 8940 AND A.category=B.CATID AND A.active=1 AND A.USERID=98947 LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 8940 AND A.category=B.CATID AND A.active=1 AND A.USERID=98947 LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 568 () ()

SELECT * FROM wantcomments a, seoclerks.members b WHERE a.PID='8940' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc1SELECT a.comment, a.USERID, a.CID, a.time_added, a.istranslated, a.parentid, b.username, b.profilepicture FROM wantcomments a, seoclerks.members b WHERE a.PID='8940' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc

/opt/clerks-staging/docroot/viewwant.php 835 () ()

UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='8940'1UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='8940'

/opt/clerks-staging/docroot/include/functions/main.php 1729 update_wantviewcount() ()

SELECT * FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='8940' ORDER BY w.bidid ASC 1SELECT w.bidid, w.PID, w.comment, w.title, w.pricepublic, w.USERID, w.adjustedprice, w.ip, m.profilepicture FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='8940' ORDER BY w.bidid ASC

/opt/clerks-staging/docroot/viewwant.php 1192 () ()

SELECT * FROM categories_wanttobuy1SELECT * FROM categories_wanttobuy

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

SELECT * FROM posts WHERE USERID=989471SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=98947

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM categories1SELECT * FROM categories

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

select * from categories_software order by name asc1select * from categories_software order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetSoftwareCategories()

select * from categories_wanttobuy order by name asc1select * from categories_wanttobuy order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories()

select * from categories_wanttotrade order by name asc1select * from categories_wanttotrade order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

SELECT * FROM seoclerks.members WHERE USERID='98947'1SELECT profile_data FROM seoclerks.members WHERE USERID='98947'

/opt/clerks-staging/docroot/include/functions/main.php 1927 getUserBackground() include()

Invalid SQL

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Expensive SQL

Tuning the following SQL could reduce the server load substantially
LoadCountSQLMaxMin

Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin