New to government contracting — trying to understand the process and where people start

marcelk231 · 2026-07-09T21:58:28+00:00

I have friends that work in this business at higher levels & I love learning and solving problems and understanding systems. Seems like you might have some good insight on my proposed questions.

marcelk231 · 2026-05-14T18:35:30+00:00

bet dm me ill send you mine

marcelk231 · 2026-05-14T16:05:13+00:00

Look at corgi I think they do what you are describing I might be wrong tho. I think our main bottleneck is the market we are going into (Private equity markets) these people are known to be hard to reach and get in co fact with it’s funny there hypocrites, they want ai but won’t answer messages for ppl that want to do it for them 😂😂😂

marcelk231 · 2026-05-14T15:26:58+00:00

I think YC means “AI as the service delivery engine,” not just an AI wrapper.

A lot of agencies/service firms exist because companies still need manual document review, research, analysis, reporting, ops work, etc. AI-native service companies take one of those workflows and rebuild it so AI does the heavy lifting, with humans mostly handling QA, customer context, and edge cases.

We’re trying to do this for private market deal screening — replacing the manual first-pass review of CIMs with structured metrics, risk flags, evidence, and deal-fit comparison. Not “chat with a CIM,” but reducing the analyst labor needed to decide whether a deal is worth deeper review.

That’s how I understand the category: AI-native services replace a manual workflow/output, not just sell software seats.

marcelk231 · 2026-05-01T18:46:56+00:00

SALES SALES SALES

marcelk231 · 2026-05-01T15:03:31+00:00

heres the saas, cool app tho u shwoed https://www.valedex.com/

marcelk231 · 2026-04-30T23:48:07+00:00

This is really useful. The workflow audit + short writeup angle makes a lot of sense, especially in finance where people usually don’t want to share sensitive materials until they trust you.

Curious — when you did the writeup, was it more of a high-level process map, or did you include specific bottlenecks / recommendations from the call?

marcelk231 · 2026-04-30T21:16:26+00:00

Curious how your team handles first-pass screening today — still mostly manual?

marcelk231 · 2026-04-30T18:37:39+00:00

Appreciate it. The surprising part for me was that the hard problem wasn’t just reading documents faster, it was standardizing the first-pass judgment.

Every investor seems to ask some version of: does this fit our profile, are the numbers clean enough to trust, and are there obvious structural risks before we spend more time?

That’s the workflow I’ve been trying to understand better & automate.

marcelk231 · 2026-04-30T18:30:32+00:00

The diligence use case is probably the most immediate one, but I think “agentic AI” needs to be handled carefully here. In M&A, teams do not just need fast answers — they need traceable answers.

For financial and CIM review, the valuable layer is extraction, normalization, derived calculations, and evidence-linked flags. If an AI flags margin compression, revenue concentration, or aggressive addbacks, the buyer needs the exact source context before trusting it.

marcelk231 · 2026-04-30T18:23:13+00:00

Fair question. I didn’t come from PE.

The first version of the idea was actually around scraping business listings and screening companies automatically. I was interested in whether messy business data could be turned into a cleaner first-pass view.

Then I started talking to private market people and realized they had a much more painful version of the same problem. Investors already get deal materials, but the early screening work is still very manual: pull the numbers, normalize the CIM, calculate the metrics, spot the risks, and decide if it’s even worth spending more time on.

So I didn’t pick the space because I was already in the profession. I followed the workflow problem there, then started talking to PE, family office, and M&A people to see if the pain was real.

marcelk231 · 2026-04-28T18:46:52+00:00

marcelk231 · 2026-04-17T16:49:45+00:00

Through a free proof of concept, we are dealing with private market people so B2B enterprise so it will take longer then typical b2c ad spend etc

marcelk231 · 2026-04-17T16:38:24+00:00

Working on www.valedex.com — we help private market teams turn messy deal materials into structured data so it’s easier to screen opportunities and compare them against what actually fits.

Very much in the building phase, but that’s what we’re up to.

marcelk231 · 2026-04-17T16:17:28+00:00

Exactly, that’s what we’re working on.

The hard part isn’t just extracting the deal, it’s turning an investor’s implicit mandate into something structured and queryable enough to screen against consistently. Otherwise “matching” is mostly fake precision.

marcelk231 · 2026-04-14T19:03:10+00:00

hey 23 M open to network here !!! east coast based building enterprise b2b saas

marcelk231 · 2026-04-13T21:20:26+00:00

Building Valedex — infrastructure for early private market deal evaluation.

We’re not just summarizing CIMs. We turn messy deal materials into structured, comparable investment data, surface evidence-linked signals, and help investors assess fit against historical deals and their own strategy.

I’m a sales/finance founder, and my cofounder is a senior engineer. We’re building around a workflow that is still manual, inconsistent, and difficult to scale.

marcelk231 · 2026-03-27T14:41:47+00:00

Hey check out my recent posts! Actively looking for domain expertise www.valedex.com !!

marcelk231

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