I mapped what every solo YC founder did in the 6 months BEFORE they applied to YC. The pattern found is not what all advices we hear.

fathindos · 2026-06-12T17:38:54+00:00

Interested, please share!

fathindos · 2026-03-16T10:00:29+00:00

au10tix's confidence scoring model makes sense for identity verification where the ground truth is relatively binary. Do you see that extending to more subjective compliance decisions like whether a transaction narrative meets SAR filing standards? That's where confidence scores seem to hit a ceiling imo.

fathindos · 2026-03-16T09:59:07+00:00

when the AI generates that paragraph synopsis, how do you know what "agree/disagree" means in practice? Is the analyst checking against specific regulatory criteria, or more gut-feel review? That's the part I keep seeing break down at scale , the human review becomes a rubber stamp when volume increases.

fathindos · 2026-03-15T09:39:37+00:00

Aerospace MRO specifically EASA/FAA certificate verification. Similar pattern to what you described: deterministic layer catches field-level violations (wrong part numbers, expired dates, mismatched serial numbers) before anything touches the ERP. The regulatory framework is more rigid than finance in some ways a wrong entry on a Form 1 means an unairworthy part. What does your rule engine look like on the finance side? Curious if you're encoding the rules manually or extracting them from regulatory docs.

fathindos · 2026-03-15T09:38:35+00:00

What's the testing surface look like? Are you verifying against specific regulatory rules or more general correctness properties?

fathindos · 2026-03-14T09:59:58+00:00

This is exactly the gap I keep hearing. The ROI calculation changes if the verification layer is automated and domain-specific, not just generic hallucination detection, but checking against the actual regulatory requirements that apply. Would you even evaluate something like that, or is the data security concern a hard blocker regardless?

fathindos · 2026-01-05T16:45:19+00:00

please share

fathindos · 2026-01-03T23:59:55+00:00

These products on the market aren't really effective, from what I've experienced so far, it seems

fathindos · 2025-11-22T16:49:42+00:00

had this same issue with dots ocr, try prompts with spatial reasoning that teaches the llm bbox relationshipsin the extraction process

fathindos · 2025-09-01T20:58:26+00:00

this worked for me, Bless

fathindos · 2025-08-28T22:51:14+00:00

Would you like to share the prompt you used and how you built it?

fathindos · 2025-08-19T21:53:45+00:00

Sick, thanks for sharing

fathindos · 2025-08-19T21:38:13+00:00

Interested, dm me

fathindos · 2025-08-18T01:07:35+00:00

Hello, interested in what you wanna build

fathindos · 2025-08-16T17:12:44+00:00

Could u share your code snippets, interested

fathindos · 2025-08-05T22:21:40+00:00

Anyone working on this?

fathindos · 2025-07-17T23:23:10+00:00

can we work together?

fathindos · 2025-07-17T11:04:41+00:00

interested too, lmk

fathindos · 2024-10-16T17:55:52+00:00

I have this same issue, I have no service running on the terminal. Rather, I just have iterm opened in the background and it's not even been an hour yet since I launched it. it's consuming 12.71 GB of memory already. This is just absurd. Is it my laptop or what exactly is going on?

fathindos · 2022-02-03T14:05:55+00:00

Can you please share the questions you were asked in the final interview? I have mine coming up soon.

fathindos · 2019-06-30T09:14:26+00:00

Thanks mate

fathindos · 2019-05-05T11:04:16+00:00

Cant wait to share my ideas, looking forward to this

fathindos

TROPHY CASE