ganjianwei

Joined 17 years ago

Karma
341
Submissions
68
Member since
Jun 3
Building a real estate fintech company in NYC. We're hiring across software engineering, data science, and real estate business roles so ping me if you're interested.

https://www.linkedin.com/in/jianweigan

View on Hacker News

Recent submissions

Comment · 8 years ago
Comment · 8 years ago
Achieve | Founding Product & Frontend Engineer | New York City | Onsite

We an early stage startup making homeownership more achievable in the US, starting with leveling the playing field between the average homebuyer who needs a mortgage and wealthy individuals and investors who buy homes with all-cash. We’re doing this with a unique product that combines technology, finance and real estate operations.

We are looking for a founding product & frontend engineer to join our team. You’ll be a great fit if you love to craft product as well as engineering, bring strong frontend skills to the table, and care about working on a meaningful mission. We use Python + React on GCP but believe the best engineers can learn a new stack extremely quickly.

We’re a team of ex-Twitter, Lending Club, Managed by Q folks (current at 6 people) with real estate, machine learning, and consumer apps experience. We’re well funded by founders of Trulia/Zillow, and investors of Coinbase, Redfin, Blend, and separately, have raised enough initial real estate capital to purchase many, many homes for people.

Ping me (co-founder/CTO) wei at achieveliving.com if you’re interested.

Comment · 11 years ago
class TellApart(StartUp):

  def __init__(self):
    super(TellApart, self).__init__(
        description='Predictive marketing platform',
        locations=['Burlingame, CA', 'New York, NY'],
        profitable=True,
        engineers=50,
        annual_revenue_lower_bound=10**8,
        data_size=DataSizes.BIG,
    )

  @property
  def technologies(self):
    return [
      'mesos', 'aurora', 'hadoop', 'spark', 'parquet', 'kafka', 'finagle',
      'mysql', 'postgresql', 'emberjs', 'd3',
    ]

  def contact(self, applicant_email, resume=None, linkedin=None, github=None):
    if not (resume or linkedin or github):
      raise ValueError('We\'d love to learn more about you! Please provide some'
                       ' info')
    email.send('[email protected]', 'HN applicant who can read Python',
               package_up(applicant_email, resume, linkedin, github))
Comment · 11 years ago
Incredible. How do they do distribution? Quite a feat to reach so many farmers in 3 years.
Comment · 12 years ago
TellApart - Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (25+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Comment · 12 years ago
This is likely to get traction because generally:

- people have already signed up with Facebook

- people don't trust app developers with their FB data, and don't trust app devs not to post crap to their timelines

- people hate signing up for another service again with email and password (you have to give out your email, you have to create/reuse and remember a password)

The more open question is if it will cannibalize FB logins or get incremental people to sign up with FB (people want to do this anonymously but didn't have the option and gave up).

Comment · 12 years ago
Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (25+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Comment · 12 years ago
Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Comment · 12 years ago
Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Comment · 12 years ago
I work at a 50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

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