nice to see someone picking up the slack my method of collection was far more tedious. i would go through the forums and paste them into a google sheet and have that be the "db" that the bot queries from.
not sure if its possible for you to implement the ability to search for reviews per ML. because i find that thats the most common question people ask here. anyways great job.
EDIT: i've stop updating the reviews in my bot cause it was way too much effort, and real life started catching up on me
Aiya this kind of database sure tough. I still remember last time bro Javabeans created a compilation of MRs in the forum and it was very very good and easy reference but that kind of work is no joke…
Aiya this kind of database sure tough. I still remember last time bro Javabeans created a compilation of MRs in the forum and it was very very good and easy reference but that kind of work is no joke…
Yes and towards the end too many fake MRs from OKT, trying to influence the ranking, etc.
Good ground up initiative but be careful of the hosting etc. You are entering legal grey area better play it safe to host it elsewhere
Thanks for your concern. But i am not sure yet if this initiative can even hit the kind of scale that will attract this type of attention. As there are many failed attempts in the past. So let not worry about that for now.
Quote:
Originally Posted by coolmanspooky
Even with this...how do we know if the person/s joining the group is hired by the sponsors to create fake frs?
Quote:
Originally Posted by qwertysbfsg
This is a very valid point. Currently, I'll assess the reliability of the MRs based on which bros wrote it. I can't do that if the database is anonymous. Nonetheless, I appreciate the effort for creating this DB.
The telegram account can be banned from posting. So they will need to get another mobile number again. This perennial problem cannot be totally eliminated. It can only be reduced. However, i think the benefit of using bot (automation for collecting and aggregating reviews) outweigh this problem for now.
Quote:
Originally Posted by pgnpgn
nice to see someone picking up the slack my method of collection was far more tedious. i would go through the forums and paste them into a google sheet and have that be the "db" that the bot queries from.
not sure if its possible for you to implement the ability to search for reviews per ML. because i find that thats the most common question people ask here. anyways great job.
EDIT: i've stop updating the reviews in my bot cause it was way too much effort, and real life started catching up on me
User can search the review using telegram search function at the top right 3 dot menu.
Quote:
Originally Posted by typh00n
Suggest put the bot link in the review community header description, easy to find
Thanks for the valuable feedback. Have added it to the description.
Quote:
Originally Posted by yqz7
Aiya this kind of database sure tough. I still remember last time bro Javabeans created a compilation of MRs in the forum and it was very very good and easy reference but that kind of work is no joke…
Agreed that manual collection and aggregation of reviews is just too tedious, which eventually is likely be abandoned. That why i am hoping to solve this problem using technology and automation. So, now a community is needed to use the 'db' and contribute reviews so that it can be effective. The vision is we can have our community 'db' that can rival the ml 'db'. Btw, there are >100 reviews inside already. The infrastructure is ready but still needs more active support from the community. Do support the initiative if we have the same vision.
The telegram account can be banned from posting. So they will need to get another mobile number again. This perennial problem cannot be totally eliminated. It can only be reduced. However, i think the benefit of using bot (automation for collecting and aggregating reviews) outweigh this problem for now.
I assume that you are banning the account based on the posting of fake reviews. But how does the bot or you determine if a review is fake or is honest but just because the bro has a different experience/taste?
Update: Jiajia just confirmed through her WC that she is leaving 17 March this Friday.
who to add to my new rotation list ?
Visited Jia Jia and heard that she may be leaving early this week to settle some matters back in ROC. A pity given that she may be leaving our shores earlier than expected, given her many good reviews. In fact she is the trending ML on bro @Johson telegram bot. And Gracias to bro @coolmanspooky for teaching this old dog new tricks: how to upload pics on forum
Hopefully her matters will get resolved and she can leave in April as planned but not taking any chances, So I’ve booked my RTM for one last hurrah. Don’t want to miss the boat again. Link attached for bros’ convenience. https://sglonelyguy-20.com/massage-jiajia/
I dont really post much because one man's meat is another's poison but JiaJia is one of the better, more accommodating and very sincere MLs I have visited regularly. It will be some time before she returns (if she returns). I will not speak on her behalf on the why but this is one last chance you can get to see her before she leaves on the 17th March.
Very sincere, pretty and service-oriented. There should be nothing more one should expect from a good ML here at these rates.
Last edited by Oralcummer; 15-03-2023 at 04:52 PM.
Thanks for your concern. But i am not sure yet if this initiative can even hit the kind of scale that will attract this type of attention. As there are many failed attempts in the past. So let not worry about that for now.
The telegram account can be banned from posting. So they will need to get another mobile number again. This perennial problem cannot be totally eliminated. It can only be reduced. However, i think the benefit of using bot (automation for collecting and aggregating reviews) outweigh this problem for now.
User can search the review using telegram search function at the top right 3 dot menu.
Thanks for the valuable feedback. Have added it to the description.
Agreed that manual collection and aggregation of reviews is just too tedious, which eventually is likely be abandoned. That why i am hoping to solve this problem using technology and automation. So, now a community is needed to use the 'db' and contribute reviews so that it can be effective. The vision is we can have our community 'db' that can rival the ml 'db'. Btw, there are >100 reviews inside already. The infrastructure is ready but still needs more active support from the community. Do support the initiative if we have the same vision.
( Click to show/hide )
t .me /FSreviewbot or @FSreviewbot
Can use sbf nick to register and then handicapped scoring ? In this way 2022 registered nicks FR will be "calibrated" ? And changing phone numbers will not matter.
I assume that you are banning the account based on the posting of fake reviews. But how does the bot or you determine if a review is fake or is honest but just because the bro has a different experience/taste?
Yes there is a human element in this and different perception might be dealing it differently...ultimately, its not 100% foolproof
__________________
For Points Exchange, min 10 points. Those below will not be returned.
HALL OF FAME
Fucked chiobus: Niu niu, Fate, Yu Xin, LV, Chanel, CC, Mia, Poppy, Xiaoxiao & Weiwei, Hebe, Juan Zi
Can use sbf nick to register and then handicapped scoring ? In this way 2022 registered nicks FR will be "calibrated" ? And changing phone numbers will not matter.
Lots of those fake frs also came from senior nick that didnt post for a long time...my guess was these nicks are given up or sold off...
__________________
For Points Exchange, min 10 points. Those below will not be returned.
HALL OF FAME
Fucked chiobus: Niu niu, Fate, Yu Xin, LV, Chanel, CC, Mia, Poppy, Xiaoxiao & Weiwei, Hebe, Juan Zi
Location: Central, still easily accessible, quite a walk from nearest MRT
Looks: discount from photo 10-15%, minus because of her complexion. But she is still a looker, both cute and pretty
Body: Petite, shorter than 160. Boobs is around C. Slim.
Massage: So-so but we all know we are not here for this.
GFE: This is where she shines. GFE-gao gao. She will speak to you like a gf.
Bonus point is she can cosplay, she has a nurse outfit and school girl outfit. So she told me to choose and we went along with the schoolgirl one. She roleplay throughout, keep calling Senpai, teach me etc etc. Keeps you wanting more.
Services: Just HJ only. Please treat her with respect
Definitely will RTM. For this price point and the quality of the girl.
MR for younna
looks - maybe +5-10 years but won't reject
boobs - small A
massage - non-existent
GFE - quite chatty, easy to talk to, high in GFE
BBBJ - pretty decent and can go for a long time
FN with high roaming and she has a special move that made me finish very quickly - can visit her and ask her to find out
15-03-2023, 01:59 PM
Re: TCSS thread "My favourite MASSAGE girls"
t Similar Threads
my method of collection was far more tedious. i would go through the forums and paste them into a google sheet and have that be the "db" that the bot queries from. 
LoL I’ll leave that to your imagination.
