_hfqa

Author here. High-level:

- Problem: AI UI generators are high-fidelity by default → teams bikeshed aesthetics before structure is right.

- Idea: use ASCII as an intentionally low-fidelity “layout spec” to lock hierarchy/flow first.

Why ASCII: - forces abstraction (no colors/fonts/shadows)

- very fast to iterate (seconds)

- pasteable anywhere (Slack/Notion/GitHub)

- editable by anyone

Workflow:

- describe UI → generate ASCII → iterate on structure/states → feed into v0/Lovable/Bolt/etc → polish visuals last

It also facilitates discussion:

- everyone argues about structure/decisions, not pixels

- feedback is concrete (“move this”, “add a section”), not subjective

More advanced setups could integrate user/customer support feedback to automatically propose changes to a spec or PRD, enabling downstream tasks to later produce PRs.

Companies I’ve helped start have been acquired by OpenAI (2025) and private equity firms (2023).

I have over a decade of experience in conceiving and developing AI products, and I've led zero-to-one initiatives at multiple startups backed by Y Combinator, Techstars, MIT delta v, and others.

My work has been featured in Forbes, TechCrunch, Mashable, Lifehacker, The New Stack, Times UK, and other publications.

I have long been an early adopter of emerging technologies, building innovative products using word embeddings, autoencoders, GANs, GPT models, Kubernetes, and cloud computing—often ahead of mainstream adoption.

Location: San Francisco, CA

Remote: Yes Willing to relocate: Open to discussion

Technologies: AI Product Development, Distributed Systems, Machine Learning, LLMs, Kubernetes, NLP, Computer Vision, React, Python, Node.js, GCP, Generative AI, Infrastructure, and DevOps.

Résumé/CV: https://drive.google.com/file/d/1iWBggtOlNWqAtvPms8CEgU3qbkV...

AI Portfolio: https://docs.google.com/presentation/d/19Irye4I4iJKzNN56PqIp...

LinkedIn: https://www.linkedin.com/in/carloschinchilla/

Email: [email protected]

I’m currently open to new challenges and opportunities. If you know anyone looking for a CTO, VP, staff, or a software engineer with experience in AI, I’d love to connect.

Companies I’ve helped start have been acquired by OpenAI (2025) and private equity firms (2023). Former CTO @ YCombinator, Techstars. Location: San Francisco, CA

Remote: Yes Willing to relocate: Open to discussion

Technologies: AI/ML, LLMs, Python, FastAPI, React, Docker, PostgreSQL, and more

Résumé/CV: https://drive.google.com/file/d/1iWBggtOlNWqAtvPms8CEgU3qbkV...

AI Portfolio: https://docs.google.com/presentation/d/19Irye4I4iJKzNN56PqIp...

LinkedIn: https://www.linkedin.com/in/carloschinchilla/

Email: [email protected]

I’m currently open to new challenges and opportunities. If you know anyone looking for a CTO, VP, staff, or a software engineer with experience in AI, I’d love to connect.

Companies I’ve help start have been acquired by OpenAI (2025) and private equity firms (2023). Former CTO @ YCombinator, Techstars.

Location: San Francisco, CA

Remote: Yes

Willing to relocate: Open to discussion

Technologies: AI/ML, LLMs, Python, FastAPI, React, Docker, PostgreSQL, and more

Résumé/CV: https://drive.google.com/file/d/1iWBggtOlNWqAtvPms8CEgU3qbkV...

AI Portfolio: https://docs.google.com/presentation/d/19Irye4I4iJKzNN56PqIp...

LinkedIn: https://www.linkedin.com/in/carloschinchilla/

Email: [email protected]

I’m currently open to new challenges and opportunities. If you know anyone looking for a CTO or a software engineer with experience in AI, I’d love to connect.

clarity, purpose and a path for career growth

Just a heads up, but I tried to signup but the button doesn't seem to work.

Have you looked into tools https://www.multion.ai or https://www.browserbase.com.

Do you have the link and the time in the video where he mentions it?

Congrats on the launch! It’s wild to see AI stepping into spreadsheets like this. Pretty soon there won’t be a part of our workflow AI hasn’t touched.

I had the same question in 2015 about DeepMind, https://www.bbc.com/news/technology-58761324.

Same for Google in 2016, https://www.bbc.com/news/technology-36072243.

Seems like OpenAI is reading from the same playbook.

There are a few libs that already abstract this away, for example:

- https://github.com/BerriAI/litellm

- https://jxnl.github.io/instructor/

- langchain

It's not hard for me to imagine a future where there is something like the CNCF for AI models, tools, and infra.

It's exciting to see all these AI funds and credits, does anyone has a list or website of active funds available? We recently got granted 15k on OpenAI, but would love to get more ;)

Hi,

You can also follow us on Twitter: - https://twitter.com/nius_tv - https://twitter.com/BeyondEarthTV

In April we will be launching our mobile app; a next-gen non-linear TV news aggregator for mobile devices, that converts articles on topics that interest our users into short-form video using AI and trusted media content.

Sign up for our mobile app beta testing program at https://nius.tv.

Thank you, Carlos Chinchilla Founder at NIUS.TV

Carlos here, sole dev and product at the NIUS.TV.

We have taken a similar approach on NIUS.TV. We've even taken it further by synthesizing an AI anchor.

Check it out:

- https://twitter.com/nius_tv

- https://twitter.com/beyondearthtv

The way we synthesize our videos is a little different from Baidu in practice, but similar on a high level.

For video synthesis we use an event-driven architecture using K8s jobs, and a custom job scheduler built in-house that manages all the steps of the video creation process.

Additionally, because GPUs are expensive and knowing that we synthesize our stories in batches through the day, we built a k8s-cluster-builder, that spins up and down the k8s cluster based on pending stories. This saves us a tremendous amount of cost per month, as the cluster only runs when there is actual work for it. As a bootstrapped project, costs are really important.

Our current video synthesis pipeline is comprised of 20+ steps, this includes speech-synthesis, image generation, speech+text aligners (for captions), language models, text generation, among others.

From my experience building the product, and despite the fact that AI is expensive (training wise), it is feasible to build AI-powered products using off-the-shelf DL technology without having large resources.

Hello, I am the sole developer, designer and founder of the project.

We are a two-person company that has bootstrapped the project so far.

I hope you like it. Do not hesitate to ask any questions.

Some technical nuggets:

- We spin up and down a K8s cluster based on load

- We use Tacotron and WaveGlow

- We use a "tweaked" version of Pix2Pix

- We use forced-aligners

- We have a speech-to-text DL model

- We have around ~30 discrete parts including microservices and cloud functions in an event-driven architecture

In broad terms, we manually select news from RSS feeds and then an automated system takes the text out from the news or blog post and generates a video.

I am building an end-to-end text-to-video product that converts text/blog news into TV-like news using multiple AI techs including GANs, Transformers, variational autoencoders, motion graphics, kubernetes, among other techs.

It has taken me some months, but I have CI/CD in place, some traction in twitter, and subscribed users on our home page.

I have bootstrapped the product so far. I'm the solo dev, designer, and creator.

Soon I will have a big upgrade to the AI anchor.

Let me know what you think https://twitter.com/nius_tv

Official home page https://nius.tv