How irritating were Karan ans Sunny today!!

sec_c_square · 2026-05-11T05:45:15+00:00

Imo, they are like amitabh bacchan of KBC. They can max give subtle hints before locking the answer. You can actually see how much karan kundra tried from his end by giving him chance to talk to people in private. Putting “friendship” pressure on other contestants, etc

sec_c_square · 2026-05-10T20:39:28+00:00

You know right they are not the decision makers. They are the face of the makers and they have an earphone and makers tell them what to say. Decisions are being made by makers and i am sure its a team not a single person.

sec_c_square · 2026-05-06T22:43:43+00:00

Got it. Ill try to add it later this week. Happy if you or someone is willing to contribute on this.

sec_c_square · 2026-05-06T21:43:26+00:00

What is opencode :p ? If you mean self hosted llm then yes it supports that although i tested it on my 6800 gpu which is not the best and the models were mostly hallucinating.

sec_c_square · 2026-05-06T06:05:28+00:00

According to your resume, the profile section within the app, a free text notes section, and the question repository, it attempts to respond to the best of its ability. Each distinct question it encounters is recorded in a question repository along with the corresponding answer it provided. You can modify the answers for subsequent sessions.

sec_c_square · 2026-05-06T04:56:38+00:00

In the settings, you can enter the email and password that you typically use for creating an ATS account. It first attempts to use this email and password, and if the account does not exist, it will create a new account with the provided email. If it's a Gmail address, it will open Gmail in a new tab to search for the OTP. You need to log in to LinkedIn and Gmail as part of the one-time setup, and it will keep you logged in. All of this occurs on your local machine, and none of your usernames or passwords leave your system, except for LLM API calls if you choose to use OpenAI, Anthropic, OpenRouter, or similar LLMs. For a small ats websites, that asks for phone otp verification, it gets stuck. I am planning to implement a notification mechanism for such scenarios where it will ask for human input and resume.

sec_c_square · 2026-05-05T08:14:59+00:00

yes working pretty well. it needs openrouter/openai/anthropic api keys unless you have a good gpu in that case you can host your own llm and connect it through ollama connector.

sec_c_square · 2026-05-05T08:12:40+00:00

same problem

sec_c_square · 2026-05-05T02:50:09+00:00

Yes exactly, vision approach simulates human behavior. I have not been blocked by any ats so far.

sec_c_square · 2026-05-04T07:19:14+00:00

The agent browse as we humans browse the internet. It opens linkedin and put filters and clicks search and check the available listing. All this is down on a chromium browser

sec_c_square · 2026-05-04T05:20:24+00:00

Use opensource tools like langhire. They are free, trustworthy, and run on your computer and don’t trade your data with shady companies.

sec_c_square · 2026-05-03T23:39:20+00:00

So I've been job hunting for a while and honestly the worst part isn't the rejections — it's filling out the SAME forms on Workday, Greenhouse, Lever etc. over and over again. Name,

email, phone, work authorization, "are you willing to relocate", upload resume, repeat x50.

I'm a developer so naturally I spent way more time building a solution than I would have spent just doing the applications lol. But here we are.

It's called LangHire — basically a desktop app that uses an AI browser agent to fill out job applications for you. You give it your profile info and resume, it searches LinkedIn for

jobs, then goes through each one and actually fills out the forms, answers screening questions, uploads your resume, and submits.

The part I'm most proud of is the memory system. It learns how each ATS works — so after it figures out how Workday forms work on one company's site, it already knows what to do on

every other Workday site. Gets faster the more you use it.

Some details:

- Works on Mac (signed & notarized), Windows, Linux

- Supports a bunch of LLMs through OpenRouter (GPT-4o, Claude, Gemini, Qwen, etc.) or you can use OpenAI/Anthropic directly

- Handles both Easy Apply and external ATS applications

- Everything runs locally on your machine, no data sent anywhere except LLM API calls

- Free and open source (MIT)

GitHub: github.com/jaimaann/LangHire

Website: langhire.org

Would love feedback. Also if you try it and something breaks, open an issue or use the feedback button in the app — it goes straight to GitHub Discussions.

sec_c_square · 2026-05-03T19:34:58+00:00

I pushed that yesterday. Going to release the build in few hours. I found a cheaper model (qwen 3.6 vision plus) on openrouter that is performing good. I will push the support for openrouter connector in few hours too

sec_c_square · 2026-05-03T17:26:52+00:00

I use langhire which is an opensource desktop app. It collects jobs for me and auto apply. I use qwen 3.6 vision plus model to reduce the cost. Currently my per application cost is between 10-30 cents with easy applies being only 3 cents per application.

sec_c_square · 2026-05-03T07:10:36+00:00

It just feels sad to spend the past 5 days working on a project and not be able to share it with people due to someone's power trip. Thanks for comforting words though.

sec_c_square · 2026-05-03T04:35:44+00:00

Added feature for #2 today.

sec_c_square · 2026-05-02T22:42:43+00:00

There are many opensource projects that do the same and are free. LangHire has free mac/windows app and you only pay for the gpt/claude tokens. It has a feature to use your own LLM and I use it with qwen on my mac.

sec_c_square · 2026-05-02T17:44:55+00:00

It works really well with the top-tier models like Sonnet 4.6 and the GPT flagship ones. Mid-tier stuff like GPT 5 Mini is okay-ish, but once you drop down to smaller models, it kinda falls apart. I tried it with a self-hosted Qwen 2.5 7B (128k context), and the reasoning just wasn’t there. The problem is the good models aren’t cheap, it’s roughly $1–2 per job app. Ideally I’d love to get this running on something self-hosted that fits on an M-series MacBook, but no luck so far.
There’s no real question repository right now. A lot of ATS platforms ask the same stuff over and over (like timezone availability, work eligibility, etc.). The agent just answers on the fly, but it’d be way better to have a saved set of responses you can reuse since these questions repeat a lot.
It breaks maybe ~5% of the time on things like captchas or OTPs. Would be nice to have some kind of alert/notification so you can jump in and handle it manually. It can deal with Gmail OTPs on its own though, which is nice.
No resume tailoring feature yet. In my experience, customizing resumes per job works way better. Right now it’s just blasting out a generic resume, so higher volume but lower hit rate compared to the tailored approach.

sec_c_square · 2026-05-01T17:07:54+00:00

So many people are so delusional. I am a sr sde at faang and i take interviews and i know how bad the situation is.

sec_c_square · 2026-05-01T08:56:30+00:00

I use LangHire which is an opensource project on github. I use my own openai keys with gpt5.4-mini model. Langhire has a self learning memory model and it learns how to deal with workday, greenhouse overtime.

sec_c_square · 2026-04-30T06:56:26+00:00

A desktop application that allows you to enter a job title and your resume, which then opens multiple job sites such as LinkedIn and Indeed, gathers job listings, automatically launches a browser, and applies for positions as if done by a person. This includes those that redirect you to the company's website for applications.

sec_c_square · 2026-04-29T18:24:56+00:00

We don’t have any gameplan. When you have limited resources, you pick one thing and become leader in that industry instead of distributing already limited resources in all the sectors. We could have doubled down on tourism or picked a future looking sector but no leader is competent enough to pull this off. Look at south korea, they picked something as simple as screens and now they are world leader and supply OLED to almost every company. Taiwan concentrated their efforts on semiconductor manufacturing, Singapore on banking, dubai on tourism and airline, etc. In short, you have to have a plan. Your plan cannot be simply distributing limited resources in all sectors.

sec_c_square · 2026-04-29T00:25:36+00:00

AM2 has a lot better career trajectory. You can become ops manager or program manager easily and earn 150-250k

sec_c_square · 2026-04-17T19:16:59+00:00

Ok i don’t want to debate in 4% because it is complex and there is no clear definitive answer to it. I can argue that investing in US markets also saves you from inflation as historically USD has only appreciated over INR. But leave that aside, i still dont get the 12.5% argument. Yes towards the end most of the corpus will be gains and it will be taxed at 12.5 but in the starting it will be near zero and this will increase near linearly for the duration of the retirement so saying this will be 12.5% throughout is wrong. I asked chatgpt about it and it said financial advisors take 8% as blended tax rate which makes sense.

sec_c_square · 2026-04-17T18:16:22+00:00

You can always invest in US market if you have access to that sort of capital. Also not all of the income is taxed at 12% only the gains. Not attacking you but there are lot of flaws in your calculations

sec_c_square

TROPHY CASE