varshith17

6 ms·

1.
by varshith17 7mo ago
"Best place to work" awards are marketing, not data. No company that's actually great needs to advertise it their employees do that for them. When you see these plastered everywhere, it usually means they're compensating
2.
by varshith17 8mo ago
2 days is nothing, VCs move slower than founders think. Demo review usually takes 1-2 weeks: partner watches it, discusses in Monday meeting, maybe loops in domain expert, then decides next steps. Silence for a week is normal. Silence for 3
3.
by varshith17 8mo ago
Not just you, widespread reports on /r/gmail and Twitter since ~12 hours ago. Likely a bad model push on Google's end. Workaround: check spam folder for legit mail, mark as "not spam" + star important senders to ret
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by varshith17 8mo ago
Google's spam filter is having a moment. Even emails with perfect auth records are getting flagged - clearly a broken model deployment. Mark legitimate emails as "not spam" aggressively. They'll either rollback or your l
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by varshith17 8mo ago
Build validation layers, not trust. For structured outputs (invoices, emails), use JSON schemas + fact-checking prompts where a second AI call verifies critical fields against source data before you see it. Real pattern: AI generates → auto
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by varshith17 8mo ago
Concrete setup: (1) All secrets in 1Password/Bitwarden with CLI, (2) Agent sandbox with no env var access, (3) Wrapper scripts that fetch secrets on-demand and inject at runtime, (4) Context scrubbers that strip secrets before LLM sees
7.
by varshith17 8mo ago
Anthropic's prompt engineering docs (docs.claude.com) are secretly the best AI coding guide teaches you how to structure requests that actually work. For tactics: search "AI coding workflows" on HN/Reddit, filter for com
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by varshith17 8mo ago
Bending Spoons' playbook: acquire established product, gut the team, run it on fumes with skeleton crew + AI tooling. They did this with Evernote, Meetup, now Vimeo. Classic private equity move dressed up as a tech company. Extract val
9.
by varshith17 8mo ago
Hardware company LARPing as infrastructure provider. Their wafer-scale chips can't multi-tenant like GPUs, so "enterprise" means "first in line for deprecation" apparently. Cool tech, zero operational maturity. Stic
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by varshith17 8mo ago
"Agentic coding works" and "ship without review" are two different claims. The first is true for constrained tasks, the second is Silicon Valley brain rot. I use Claude Code daily for DevOps automation and data migration
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by varshith17 8mo ago
Same reason everyone rolled their own auth in 2010, the problem is simple enough to DIY badly, complex enough that no standard fits everyone. My Claude Code needs SSH access but not rm. Your agent needs filesystem writes but not network. Th
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by varshith17 8mo ago
Same reason they can't count the 'r's in "strawberry", these models don't actually understand structure, they just autocomplete really convincingly.
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by varshith17 8mo ago
Bulletproofing from AI is like bulletproofing from Stack Overflow in 2010. Wrong question. The real edge is taste, knowing when the AI's boilerplate is wrong, which shortcuts will bite you at scale, and what "working" actuall
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by varshith17 8mo ago
Made a 20-line bash script that wraps SSH, regex whitelist for safe commands, instant reject for dangerous ones(rm, mv, chmod). Claude Code doesn't even know it's restricted. Production-tested for 6 months. The autonomy is chef&#x
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by varshith17 8mo ago
Clean idea, but commit history tells you activity, not progress. Feels more like a polished status narrator than real insight into what actually shipped.
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by varshith17 8mo ago
Resources: Paper: https://arxiv.org/pdf/2512.22280 , GitHub: https://github.com/varshith-Git/Valori-Kernel , Website: https://valori.systems
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Valori – Deterministic Substrate for AI (Code and ArXiv Paper)
4 points by varshith17 8mo ago|1 comments
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by varshith17 9mo ago
'Debugging turns into archaeology rather than engineering', this is the exact realization that forced me to stop building agents and start building a database kernel. I spent 6 months chasing 'ghosts' in my backtests tha
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by varshith17 9mo ago
Async stack traces are a nightmare. You lose the causality chain completely. We ran into a similar issue with 'Shared Context.' We tried to sync the context between an x86 server and an ARM edge node, but because of the floating-p
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Ask HN: What was the hardest bug you tracked down in 2025?
11 points by varshith17 9mo ago|5 comments
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by varshith17 9mo ago
Switching GPUs to integer (Quantization) is happening, yes. But that only fixes the inference step. The problem Valori solves is downstream: Memory State. We can accept 'Approximate Computing' for generating a probability distribu
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by varshith17 9mo ago
You are absolutely right. GPU parallelism (especially reduction ops) combined with floating-point non-associativity means the same model can produce slightly different embeddings on different hardware. However, that makes deterministic memo
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by varshith17 9mo ago
"You might be the only one expecting a reliable 'AI' agent period." That is a defeatist take. Just because the driver (the LLM) is unpredictable doesn't mean the car (the infrastructure) should have loose wheels. We
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by varshith17 9mo ago
"You seem to have higher expectations of reliability than would be reasonable." If sqlite returned slightly different rows depending on whether the server was running an Intel or AMD chip, we wouldn't call that "an obser
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by varshith17 9mo ago
Github repo: https://github.com/varshith-Git/Valori-Kernel
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Why are we accepting silent data corruption in Vector Search? (x86 vs. ARM)
5 points by varshith17 9mo ago|9 comments
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Show HN: I built a deterministic vector DB kernel in Rust using fixed-point math(github.com)
2 points by varshith17 9mo ago|0 comments
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by varshith17 10mo ago
Love this kind of feedback, thank you. You nailed it on optional deps and config sprawl; I’m trimming both. CI cross is just coverage noise, and I’ll add uv setup notes it really cleans up the PyTorch mess. Glad the API felt right — that wa
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by varshith17 10mo ago
Building Valori, a Python-native vector database. It’s basically Lego blocks for embeddings: storage, indexing, quantization — all modular, all hackable. The goal? Let anyone plug in their own models and search pipelines without touching C+
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by varshith17 10mo ago
SQLite’s perfect if you’ve got rows and tables. Valori’s for when you’ve got embeddings and chaos.

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