antonoo

gptengineer.app / Lovable | ONSITE+HYBRID | Stockholm / London | Full-Time | Founding Engineers, Founding Designer

Lovable consists of a team of pragmatic previous founders, CTOs, IOI gold medalists, set on being the first to make autonomous code generation work.

This is a hard problem. We believe we can do it by selecting a limited domain, a great AI driven UX and carefully selecting an 'AI-first' tech stack of open-source, that us engineers love to maintain. And optimise our system of fine-tuned LLMs (+LMMs) to do well there.

We believe that rapid experimentation and hiring the brightest and most ambitious minds is the way we make this work. You'd be one of the first employees and have a big impact in shaping our product and company.

In particular, we're looking for: - Founding Designer, who loves understanding the user, technical products, and always think about how products they interact with could be more intuitive - Founding Engineer, joining our team of AI and product engineers building the software that builds other software.

anton@lovable.dev

Feels like we’re going to see academia being flooded with crap

gptengineer.app / Lovable | ONSITE+HYBRID | Stockholm / London | Full-Time | Founding Engineer, Founding Designer, Commercial Lead

Lovable is made up of a team of pragmatic previous (YC) founders and CTOs, set on being the first to make autonomous code generation work.

This is a hard problem. We believe we can do it by selecting a limited domain, allowing humans to take over and crucially – carefully selecting a single 'AI-first' tech stack of open-source tech, that us engineers love to maintain. That we optimise our system of fine-tuned LLMs (+LMMs) to do well in.

We believe that rapid experimentation and hiring the brightest and most ambitious minds is the way we make this work. If you're interested, please apply! You'd be one of the first employees and have a big impact in shaping our product and company.

We're looking for:

- Founding Designer, who loves understanding the user, technical products, and always think about how products they interact with could be more intuitive

- Commercial Lead, who will ideate and execute on our partnerships and commercial efforts

- Founding Engineer, joining our team of product engineers building the software that builds other software.

https://lovable.dev/careers/ or email anton@lovable.dev

- HN will double it's infra to 2 servers running Arc

checks out

Thanks for making me have great news to read every day. And the hours spent here this year. Merry Christmas.

Happy you liked it

Thanks!

We played with a few different ones and letting the user decide.

For now the focus is to add more capabilities one pretty industry standard, but “AI first” tech stack.

It’s open access as a Christmas gift right now!

Here is some more info about the project:

https://twitter.com/antonosika/status/1737113683392942237

Anton, Fabian's cofounder here.

Happy to help answer any questions!

Its not the same:)

Stealth Startup (VC Funded) | REMOTE | Full-time

We are looking for a lead maintainer of an open source AI code generation tool and new initiative.

About the Code Generation Tool: With 40,000+ github stars and an active community it is a significant player in the codegen community, and in collaborations with many other projects to support the community at large.

Our mission is to build tools that all coding agent builders and tinkerers can use and collaborate around. The work is centered around launching initiatives that push the forefront of codegen, partnering with leading companies and academic institutions.

Apply here: https://www.linkedin.com/jobs/view/3772459671

Apart from a lead maintainer, we are looking for the following onsite roles:

# Product engineer

5+ years of experience building, has worked in product facing roles for example as a founder, CTO or product/engineering leader

# Generalist data/backend engineer

We are looking for someone with a curiosity on how things work, having led to deep understanding how almost any technical system works down to the fine details. With a pragmatic approach in building.

# AI Engineer

Creative, algorithmic mindset, exceptional track record from strong workplaces or academia. Pragmatic approach but with experience writing maintainable code. Experience with data, machine learning is a plus.

# UX Lead

High energy, product centric UX researcher or product person with a UX skillset. Loves watching users use a product, and balancing creativity and simplicity.

Interested in hearing more: Send an email to anton.osika@gmail.com with Hackernews in the title.

My take on this:

https://twitter.com/antonosika/status/1679423272541192196?s=...

Regardless, great work digging into the code, and great work by authors publishing the code.

Thanks!

Not yet. Considered adding it soon, the only reason I decided against — for now — is that for automatic evaluation human edits make it be try difficult!

Fully automatic can be evaluated fully automatically.

Good input.

Definitely.

I think most of us will all be happy and only work out of passion in a few years, and I'm excited to learn new skills:)

We set up the benchmark recently and it does fail on quite a few of the more full stack example prompts we gave it yes.

There are clear remediations though so we want to continue building!

Thanks!

Yeah it's using GPT4 per default – I think it uses ~2k tokens for large projects!

Would love to hear:

What are virtual developer tooling products being built right now that others think are most promising?

These are the I'm looking forward to thus far:

- magic.dev

- mutable.ai

- sweep.dev

- Copilot X

Depict.ai | Backend, Frontend and Fullstack Engineers | Remote or Stockholm, Sweden

https://depict.ai/ is on a mission to challenge Amazon's domination of e-commerce. We connect customers and retailers over a shared love for great products, by making e-commerce product discovery a breeze from start to finish. We want retailers with the best products, not the largest budgets, to win. We use computer vision and natural language processing to truly understand the product and provide state of the art product recommendations. Founded two years ago, we serve hundreds of millions of requests every month on some of the largest e-commerce sites in Europe and are backed by investors such as Y Combinator, Initialized and EQT Ventures.

With backgrounds ranging from Google, Uber and CERN to self-taught programmers, we are united by our passion for building a great product. We think big but start small when solving problems, delivering value first and iterating rapidly until we have something great.

We're growing rapidly both in terms of revenue and headcount and are always looking for more talent. Find out more and apply on our careers page at https://careers.depict.ai/ or reach out at anton@depict.ai. Some of our tech stack is Python, TypeScript, Kubernetes, and GCP.

Hey Velislav,

Anton here, CTO & Co-Founder of Depict.ai (YCombinator Summer 2020).

Would be happy to chat!

Do you want to reach out to anton@depict.ai?

Hey Andrey

Anton here, CTO & Co-Founder of Depict.ai (YCombinator Summer 2020).

Would be happy to chat!

Do you want to reach out to anton@depict.ai?

These are some great questions!

1. In order for e-stores to trust the results, we tend to use Google Optimize for the A/B-tests (which randomly assigns 50% of users to see the stores' previous recommendations)

2. Currently our main focus are recommendations on the product page - but we do aim to also add our recommendations in other spaces, where the checkout & landing pages are some clear alternatives! Mostly a bandwidth question at this point.

3. We might open-source parts of it sometime in the future, thought it's not something we're currently considering actively.

4. Not yet! We integrate by injecting a JS widget on their site, through which we also track the user behaviour.

Sounds great - let's follow up on Twitter

Yes we have seen that simple integration and A/B test setup is key for our customers.

It is both about integrating with the website as well as integrating with the catalog of existing products, and this is right now easier with us than any other provider since we have built tooling for making this very efficient right now.

In A/B tests we have compared against e-commerce stores existing recommendations which are either manual or made by other recommender systems. We will consider running experiments like the one you describe it is a good idea!

Up to 35% of Amazon's transactions come from automated recommendations – which they have become really good at optimizing. We help everyone else reach these numbers even though they do not have the same volumes of data or technical expertise as Amazon.

Would be happy to jump on a call if you send an email to anton (at) depict.ai

We have a documented API that you can easily integrate directly with if you are more technical!

We have done A/B tests against AWS Personalize and other players like Nosto, Apptus, and more and to date we have not failed a single A/B test!