
For the people who hire
Engineers here write what they built, what they decided and where they got stuck — every day. You read that before you know their name.
In the order a buyer actually reads.
Not ours — theirs. A founder who hires from here gave us the order, word for word: the working outcome first, the code next, the reasoning third. A log written for a role can be performed. A running thing cannot.
“Working on the voice AI thing still. Again, found out the Indian Government has collected some voice datasets -https://data.ldcil.org/multilingual-raw-speech-corpus-2. It's behind a wall for now. Will have to wait on access. IndiaFOSS had a talk on Data For India. There is a lot of interesting work being done by the government and adjacent agencies. I am both excited by this and a bit skeptical of its actual good effects. But let's see. When the dataset arrives.”
Written 28 Sept 2026 · unedited
for people who easily lose track of time.
“I recently tried Proof’s mock interview and had the opportunity to be interviewed by Haripriya and Safal. Both sessions were very insightful for me. With Haripriya, the discussion focused more on mobile app development and getting a realistic view of AI and its adoption in the industry. This was especially useful because she was kind enough to push me to think when I was blanking out, while also giving me important pointers on functional thinking and strengthening my fundamentals. The interview with Safal was equally insightful. He guided me through problem-solving around the topics we discussed and also pointed me towards useful resources to improve my understanding of system design and backend fundamentals. Overall, both sessions helped me identify my gaps, understand what I can work on, and get a clearer direction for improving myself. And I’d 10/10 recommend everyone reading this to try mock interviews! You’ll learn a lot about yourself, understand where you stand, and get a better sense of what’s expected in the industry.”
Written 26 Sept 2026 · unedited
RepoMind is an AI-powered GitHub assistant using RAG, MCP, and Agentic AI to answer questions about code, issues, commits, and pull requests.
“Today I worked on LLM streaming with LangGraph and Streamlit. I explored how chatbot.stream() sends the LLM response step by step and how stream_mode="messages" provides message chunks. I also used st.write_stream() to display the response in real time. Still building and improving every day”
Written 18 Sept 2026 · unedited
Four steps. No sales call.
You get access — free, and in under a minute.
You read 264 engineers with their names still hidden.
You post a role, and people raise a hand in writing.
You keep the read — the record stays, whether you hire now or in six months.
Read the pool tonight.
Free, and nothing here charges you. It is a hiring surface, so we ask for a work email — RK reads the list. Names stay hidden until you flag someone and RK makes the introduction by hand. Nobody is scored, ranked or sorted for you.