janhenr

Converge (YC S23) | Founding Account Executive | London | £80-100k

Converge is vertically integrating the modern data stack for B2C by bringing customer data collection, identity resolution, attribution, data forwarding, and analytics into a single platform.

We are urgently looking for our first sales hire. This role consists of owning sales cycles end-to-end, helping us build out sales enablement materials, and listening deeply to customer problems to solve

This is a very exciting time to join Converge:

- 0 -> 160+ customers in the last 18 months

- revenue 5x in the last 12 months

- cash-flow positive in the last 8 months

- more than doubled usage in the last 4 months

Full role desc here: https://jobs.gem.com/converge/am9icG9zdDqATabxB8rqC-XFCYn_kh...

Converge | Founding Product Engineer | London | Full-time

Converge is building data infrastructure for online stores. We make it easy for merchants to understand where their customers come from and help them optimize their customer acquisition.

We just graduated from the YC S23 cohort. We serve more than 100 customers (small stores until publicly listed co's) and are profitable.

We are looking for a full-stack engineer who gets excited by talking to users and shipping product with us. You will be highly autonomous as to what you choose to work on to maximize your impact on the company.

Apply here: https://www.ycombinator.com/companies/converge/jobs/vc4Nbeh-...

This is not entirely correct, many places still do accept cash and allow you to order without your phone. It just so happens that most people prefer to order and pay by phone.

This is where it helps to have a diversified cap table. In our case, we have a set of angels -- each with their own expertise.

All of them lead busy lives, but we can get many hours of feedback by picking a subset to talk to on a particular subject. E.g. we have a "former CTO of large SaaS company"-angel who we specifically call with regards to tech stack; an "ex Head of Product" we ask for feedback on product etc.

As an added advantage, it almost automatically leads to strong mentor-mentee relationships on a personal level.

Totally understand your mixed feelings. We are trying to do as many standard data preprocessing steps as we can (cleaning, normalizing, one-hot encoding etc.) and are now switching over to an AutoML engine. We basically see the outputs of Magicsheets as great baseline models, Data Scientists could definitely do better (especially with domain knowledge) but we should at least be able to give some useful predictions back for most problems :).

Thanks for the insight! We expect to keep the Google Sheets add-on free for the near future. For our business model, we are instead focusing on building fully end-to-end pipelines that use the same ML engine as for the Google Sheets add-on:

Data integration -> ML Predictions -> taking actions.

As an example, for an ecommerce store we plug into their Shopify, predict people likely to churn and send them a Mailchimp discount code.

We are running pilot projects now for these pipelines, so if you are interested do not hesitate to reach out to me on jan [at] magicsheets [dot] io

Hi there, thanks for the kind words and advice! Our next step is building an AutoML engine that indeed takes algorithm selection and hyperparameter choice out of the hands of inexperienced users.

Hi Nalta! Thank you for your advice. We noticed that indeed most spreadsheet users do not do well with ML logic - as they are used to Excel functions, which have an input -> output structure (not validation cycles, hyperparam optimization etc.). We are building an AutoML engine, exactly for this reason - to indeed take everything "ML" away for spreadsheet users. Our ultimate goal is to turn ML literally into an Excel function. Super challenging problem, but really exciting at the same time :).

Thank you so much! Please do reach out with any questions/comments etc. - super happy to help :)

You can always reach us at hello [at] magicsheets [dot] io

Hi HN,

I found it frustratingly hard to get Machine Learning baseline models on my own datasets (usually in Google Sheets) so I pulled a couple of friends in and we built a Google Sheets addon that takes care of:

- Data preprocessing (cleaning, scaling, etc.)

- Applying ML algos

- K-Fold Validation

- Returning predictions

So you can get baseline predictions in a few clicks while never leaving your Google Sheets file!

We are really excited to get some feedback from HN :).

Also, if you have any questions, shoot!

Know the founders personally, but my comment still stands. Was honestly not a fan of the whole idea up until their launch day today.

Interesting piece! Thanks for sharing. Nitpick if you are the OP: while I appreciate the distinctive style, the font really made it hard for me to read