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Unlike the many others in the space, however, it keeps its batches small (generally two to six teams) in the belief that smaller class sizes mean higher returns and success rates.
A few years ago, its batches were full of social apps, consumer marketplaces, and efficient enterprise software.
YC has been keen to increase the diversity of its batches, but that can be a tricky thing to do when non-U.S.
Unlike other American accelerators, UpWest typically likes to keep its batches small, focusing on companies that have already built some traction in Israel but are looking for exposure to American investors and customers.
Unlike others of its ilk (beyond only seeding mobile-focused companies), Tandem keeps its batches small — generally two to six teams — in the belief smaller class sizes means better returns and higher success rates and its program is open-ended, meaning that the program "officially" ends after six months but startups can stay on as long as they'd like.
However, unlike others, it seeds each startup with a $200K convertible note in exchange for 10percentt equity, and keeps the size of its batches small (two to four teams) in the belief that smaller size equates to higher returns and higher success rates.
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Note that it performs with a better scalability than its batch counterpart (BatchRepair) without loss of accuracy.
We implement this direct approach with the software BOCOP and its batch optimization option (see [13]).
The processing time and tool slots required for each operation of the job and its batch size are known beforehand.
There is a trade-off between keeping the number of setups incurred small, by having large batches, and keeping small the time each job waits for its batch to finish, by having small batches.
The completion time of a job coincides with the completion time of the last scheduled job in its batch and all jobs in this batch have the same completion time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com