- kevinqi parentI think there are profitability requirements, right?
- +1, very polite way of saying it. of course there's a difference between the two posts. open source is interesting but not enough with a financial app, since it's all about trust + usefulness.
landing page needs to look good and communicate the value prop super effectively. If it doesn't look good you'll lose people's interest in about 2 seconds.
- I made a web microtonal keyboard a while ago which does support this! different format though
- Gridmatic | Senior fullstack software engineer, Senior backend software engineer (ML infra) | Full-time | Hybrid (Cupertino, CA)
Gridmatic uses ML and weather data to forecast energy prices in the US, which can get really volatile as extreme weather becomes more common with climate change. We’ve been using those price forecasts to e.g. optimize very large batteries, which help make the grid more stable.
On the fullstack side, we're building tools to apply our forecasts to automated battery storage optimization and energy volatility risk mitigation. On the ML infra side, we're working on infra to be able to scale to larger and more complex models, and to apply better (but more computationally intensive) weather models in our forecasting.
Our stack: python, react/nextjs, kubernetes, GCP, postgres, bigquery
Our goal is to help accelerate the adoption of renewable energy on the grid. It's super interesting, the team is incredibly smart, and we're profitable.
If you're interested, DM me or email me at kevin@gridmatic.com, and please answer the following question: what's the most impressive thing you've built? (include a link to code if possible)
- 30-40 people; not much TPS but we're not primarily building a web app; we have event-driven data pipelines and microservices for ML data.
If you're primarily building a web app, a monolith is fine for quite a while, I think. But a lot of the stuff in the post is still relevant even for monoliths - RDS, Redis, ECR, terraform, pagerduty, monitoring/observability.
- I work at a startup and most of the stuff in the article covers things we use and solve real world problems.
If you're looking for successful businesses, indie hackers like levelsio show you how far you can get with very simple architectures. But that's solo dev work - once you have a team and are dealing with larger-scale data, things like infrastructure as code, orchestration, and observability become important. Kubernetes may or may not be essential depending on what you're building; it seems good for AI companies, though.
- Gridmatic | Senior full-stack software engineer | Onsite in Cupertino, CA (hybrid)
https://jobs.lever.co/gridmatic/ee0f4882-10aa-4c92-b0bb-1497...
Gridmatic is a profitable early-stage climate tech startup that uses ML forecasting to help decarbonize the energy grid. We use ML to help with grid-related operations like optimizing battery farms and being a retailer of 24/7 carbon-free energy.
We’re looking for an experienced full-stack engineer with 3+ YOE with the ability to build product from zero-to-one to work on our retail energy initiative. You’d work across the stack on a wide range of projects — building out a web app for energy customers, working with third-parties to pull in energy usage data and public renewable energy data, integrate billing and other key operational systems, and help improve automation and scale up to hundreds of customers. We value the ability to push through uncertainty and take ownership of the retail web platform.
Our stack is Python, React, Postgres, Kubernetes, and GCP. Having Python and React experience is preferable.
Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino, CA office 2 or 3 days a week.
Apply here: https://jobs.lever.co/gridmatic/ee0f4882-10aa-4c92-b0bb-1497...
Leave a comment if you have any questions!