Technologies & Skills: Software Engineering, React, Node, TypeScript, AI Engineering, System Design, AWS, Leadership.
I'm looking for a full-stack engineering role. I can be either be a pure IC or a tech lead. The main thing that I'm optimizing for is for solving the problems that I want to solve.
9+ years of experience in the industry, the past 4 in tech lead roles. I have mostly worked for US SaaS companies, and have also been a founder in the past (backed by Techstars).
Ok I actually like the idea of flatter orgs and player-coaches a lot.
However, do we really need them to AI-wash the fact that as a lot of companies, this company over-hired during ZIRP? Do we really need them to AI-wash the fact that the crypto hype is gone, therefore their business is smaller? “Company as intelligence” and “AI productivity” are just buzzwords so their stock price doesn’t suffer.
Staying pretty much the same, at least with the current state of technology (just way more bottlenecked by this, but with the same process). What have you seen?
Could be the case! Without being to strict on the terminology I just wanted to give a clear message: Our planning processes and time range expectations are changing completely
I built this because I just thought it would be cool to show which LLMs respond faster (between GTP-4o mini, Claude 3 Haiku, and Gemini 2.5 Flash) and show some metrics (TTFT, avg tok/s, total time, and nTokens)
This very interesting blog post got me thinking how English would look like in 2100 or 2200 driven by the changes of the internet and AI. Spelling matters less so alphabet gets reduced? Simpler grammar as it gets more spoken worldwide? Emojis as punctuation?
Hey! I just wanted to build this to show where gaming is going thanks to this AI Boom (choose your own adventure, but opinionated enough to move numbers, get items, have a game end, etc.)
Don't consider this true educational material! haha
Postgres is a great DB, but it's the wrong tool for a write-heavy, high-concurrency, real-time system with pub-sub needs.
You should split your system into specialized components:
- Kafka for event transport (you're likely already doing this).
- An LSM-tree DB for write-heavy structured data (eg: Cassandra)
- Keep Postgres for queries that benefit from relational features in certain parts of your architecture
In case we apply to YC and don't get in, the best option is to work on the startup anyway. Would you recommend bootstrapping until we get in? Or a specific group of less prestigious accelerators? Do you consider other accelerators in general a "break pedal" because they give wrong advice? Or because there's less equity to supply a potential exit in the future?
Is there a lower preference for college-dropouts today in YC? The average YC founder age has increased considerably and I think there might be some relation.
Do international founders have a better chance of getting in because of the fact that they are willing to sacrifice something greater, or lower chances due to immigration issues?
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/tebanvargas/
Technologies & Skills: Software Engineering, React, Node, TypeScript, AI Engineering, System Design, AWS, Leadership.
I'm looking for a full-stack engineering role. I can be either be a pure IC or a tech lead. The main thing that I'm optimizing for is for solving the problems that I want to solve.
9+ years of experience in the industry, the past 4 in tech lead roles. I have mostly worked for US SaaS companies, and have also been a founder in the past (backed by Techstars).
CV: https://drive.google.com/file/d/1d0-tqGvQdwnN0sXtFfUW6qdE3l9...