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Contents:
  1. Dirty laundry: Police bewildered over thefts of clothes from Fox Cities laundromats
  2. Cleanly is a Y Combinator startup that wants to take the pain out of urban laundry.
  3. Dirty laundry: Police bewildered over thefts of clothes from Fox Cities laundromats

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Dirty laundry: Police bewildered over thefts of clothes from Fox Cities laundromats

Edit Cast Series cast summary: Rafaella Biscayn Maggie Fox 1 episode, Nick Heyman Chris Manly 1 episode, Brandi Nicole Feemster Cheryl Williams 1 episode, Adam Fried Evan Cohen 1 episode, Monica Quinn Vivian Dunau 1 episode, Samantha Bowling Summer Flowers 1 episode, Ed Dyer Morty 1 episode, Anthony Jensen Fox 1 episode, Jason Ryan Lovett Charles Lee 1 episode, Ioanna Meli Edit Storyline Plot being kept under wraps at the moment. Genres: Drama. Add the first question. Edit page.


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Cleanly is a Y Combinator startup that wants to take the pain out of urban laundry.

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Audible Download Audio Books. Maggie Fox 1 episode, Chris Manly 1 episode, Cheryl Williams 1 episode, Evan Cohen 1 episode, Vivian Dunau 1 episode, Summer Flowers 1 episode, Morty 1 episode, Fox 1 episode, Charles Lee 1 episode, Claire Jones 1 episode, At first, it seemed like the perfect solution for someone like him: young, professional, and too busy with their jobs and social lives to sit around in a coin-operated Laundromat all afternoon.


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  7. But as Harari would soon learn, the laundry delivery process in New York City is anything but painless. If they answered the phone, the laundry service staff would often offer him an inconvenient multihour delivery window, cable-company style. Harari wondered: Could he streamline laundry delivery using smartphones? And with that, Cleanly was born. With his cofounders, Itay Forer and Chen Atlas, Harari started mapping out logistics and prototyping an app that would hopefully do for laundry what Uber did for cars.

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    The only reason they offer this delivery service is to stay competitive with all the other cleaners on the block. Initially, they quietly tested a beta app, primarily using their friends as customers, whose laundry they would pick up and deliver during their off hours.

    By May , the concept had proved itself. So the team quit their day jobs to officially launch Cleanly. Cleanly showed steady, if modest, growth over the course of the summer. But it soon became obvious that to keep growing and scaling, this heretofore bootstrapped startup would need outside funding. So they applied to Y Combinator in October and, to their surprise, the Silicon Valley startup accelerator accepted them. Companies like Fly Cleaners and Prim have taken a crack at Uber-for-laundry schemes. When Cleanly pitched investors at Y Combinator, they offered not just a relatable, real-world story about a common pain point being relieved through mobile technology, but some very smart technical and logistical underpinnings—thanks in part to the Israeli Army.

    Before Cleanly was more than an idea, Harari teamed up with Forer, who at that point was running operations for Elie Tahari , the global fashion brand.

    Between the two of them, they lacked the technical expertise to make the app a reality. For that, they would need the help of Atlas, a potential technical cofounder who came highly recommended from mutual friends. After being recruited into an elite engineering unit of the IDF straight out of high school, Atlas helped route supplies on the ground as efficiently as possible. Upon meeting with Harari and Forer, Atlas immediately started flexing his logistical muscles, challenging the duo to use data to further streamline the process of delivering laundry.

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    Dirty laundry: Police bewildered over thefts of clothes from Fox Cities laundromats

    Whereas most delivery startups track how long it takes couriers to get from delivery point A to delivery point B, Atlas proposed that Cleanly get more granular by learning the ins and outs of each individual building: Which addresses have a doorman? A buzzer? An elevator? Once a delivery person arrives at a building, how long will it realistically take them to return to their vehicle and head back to home base? This data is wrangled through a mix of manual and automated means. Things like time and distance are easy to track automatically inside the app Cleanly drivers use to manage their daily workload.

    The longer Cleanly operates in a given city, the more complete this map of its innards will get.