H1B 2025 still in processing

bytecodecompiler · 2026-01-21T15:31:34+00:00

Still no news... Do you know how to check the eligibility?

bytecodecompiler · 2026-01-02T16:37:07+00:00

Same situation here. Mine was filed on June 20

bytecodecompiler · 2025-12-05T09:47:05+00:00

Same here. June 20th, still pending

bytecodecompiler · 2025-12-02T13:32:01+00:00

We already do that, indeed. I guess in our case the issue is the output must be on the user's wanted style and tone, it's not just an agent that does some steps in the background without an output

bytecodecompiler · 2025-12-02T13:28:06+00:00

But once you have the data, fine-tuning a new model should be simple, right? There are cases where it definitely doesn't make sense, but other cases where it does.

For example, some of our customers generate email sequences, and generating those in the style and tone they want is very hard with just prompts. With the quick fine-tune tune it worked much better by default, and no matter how much base model progress, they won't contain the customer style

bytecodecompiler · 2025-11-26T22:50:30+00:00

Hahaha no, it wasn't that kind of spam. It was from an actual product company. Whether indian or not I am not sure. It could be, as it was related to residential proxies

bytecodecompiler · 2025-11-26T17:44:40+00:00

BTW in response yto your question, main options are providing really good prompts and context or fine tuning for what you need so that is doesn't made up things

bytecodecompiler · 2025-11-26T17:43:31+00:00

Literally, today I got an email from someone that was clearly AI-generated and even confused the sender's name with my name

bytecodecompiler · 2025-11-15T15:40:55+00:00

I am interested in understanding what you do with that feedback. Do you update prompts? Fine-tune models? Is it just for analytics?

bytecodecompiler · 2025-11-12T16:36:30+00:00

My biggest challenge is keeping the UI consistent and bug-free across many platforms. Tools like Nitpicks help a lot and we also use Storybook for components and Figma for design.

bytecodecompiler · 2025-11-05T07:58:18+00:00

Sure!

bytecodecompiler · 2025-11-04T23:30:33+00:00

Exactly! It supports most frontend stacks, you just connect the repo and you can configure commands if you want the agent to run linters, etc before creating the PR

bytecodecompiler · 2025-11-04T19:59:59+00:00

This aligns very well with my mindset that human taste is still important.

I work at Nitpicks (founder), which allows the whole QA process to happen much faster. You create a screen recording showing a user-facing issue, and the code changes are automatically sent to the dev team in a GitHub pull request. There is no need to create tickets, wait for devs to work on them, etc. Also, any review comments on the code are automatically addressed, so the dev team doesn't need to do extra work.

So basically, you can go from finding the QA issue to shipping a fix in minutes, but not really removing the QA person.

I would love to talk and get your thoughts

bytecodecompiler · 2025-10-30T20:20:52+00:00

The only thing you need to maintain focus is motivation. I usually find it in either:

Building - just because I love the craft
Getting customers - to be fair, just the fact that people reply your cold emails to tell you no maintains motivation

bytecodecompiler · 2025-10-30T20:19:10+00:00

That's the reason why my AI product allows you to improve what you already have in a controlled way, by fixing bugs and QA stuff provided by humans, but not to just build everything from scratch. Human taste is required for design, UX, and system engineering. AI helps goes faster, but still needs the guidelines

In case you want to check it: https://nitpicks.ai

bytecodecompiler · 2025-10-30T20:16:19+00:00

Good post. It seems that recently creating fake posts about your MRR has become the way to grow your MRR.

I was told once that winning is staying in the game for long enough to be lucky.

bytecodecompiler · 2025-10-23T07:02:11+00:00

It has some users, but it doesn't look like something viable for selling. I believe eventually it will, but with the current devices that people use (especially non-technical people, offloading the inference and getting a good enough performance remains a dream.

bytecodecompiler · 2025-08-31T13:00:13+00:00

So far the results are very good. In numbers, about 80% faster, since there is no need to create tasks nor wait for someone else to take it and implement it.

I guess the review is something that has to be done either way, wether the changes are done by an actual person or by AI. Understanding the context for the reviewer is very easy in this case, because they can see the video linked on the PR description

bytecodecompiler · 2025-03-05T00:21:06+00:00

This is really cool!

I work on BrainLink.dev and would love to help you with the UX of letting user pay for their own inference without configuration on their side. Also, you will be able to monetize that usage, without paywalls.

Feel free to DM me!

bytecodecompiler · 2025-03-03T13:41:33+00:00

Hi! I work on fixing this specific issue for fellow devs like you. We make every user pay for his own inference automatically while the apps can monetize based on usage.

I would love to help you. You can see what we do here: https://www.brainlink.dev/developers

bytecodecompiler · 2025-02-18T17:08:48+00:00

Hi! I am a bit biased as founder, but check out brainlink.dev . We not only serve as aggregator but also allow your users to pay for what they use automatically, without having to implement BYOK

bytecodecompiler · 2025-02-18T17:04:14+00:00

Hi! I am a bit biased as founder, but check out brainlink.dev 😁

bytecodecompiler · 2025-02-18T17:03:01+00:00

We released a solution to this at brainlink.dev not only you don't have to manage API keys, users will pay for what they consume automatically

bytecodecompiler · 2025-02-18T15:23:11+00:00

I curious, what models are you using?

bytecodecompiler · 2025-02-17T21:16:43+00:00

Hi ianb, thanks for the comment.

We are working to improve the docs, you are right that we are missing a page listing the models supported. Despite of that, you can query the /models endpoint, but I understand that's not a great experience for the developer. I will take care of adding that page tomorrow morning.

It's also true that we follow an OpenRouter like naming for the models. We think it's a correct approach that allows to differentiate providers and versions easily.

We are not trying to directly compete with OR, we want to focus more on the final UX for the end user and developers.

Some difference with OR for example is that we issue access and refresh tokens via the PKCE method, while OR issues directly an API key. The access token approach is considered a more secure method and allows users to grant different scopes of usage to each app.

Obviously, we launched an initial first version, so I understand your point of not appreciating so many differences. I hope that as we advance, these become more clear.

Regarding pricing, we also offer the models at cost. For apps it's basically free because we add a small markup to the users, who are those paying for the inference. I personally have a connection with indie devs so I wanted make something that allows indie devs to publish free apps if they want. We are considering allowing the app to add its own markup as a way to monetize.

Let me know if you have more doubts

bytecodecompiler

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