r/StartupAccelerators

🔥 Hot ▲ 267 r/ObsidianMD+1 crossposts

QA management system built inside Obsidian (test cases, runs, dashboards)

Hey everyone 👋

I’ve been experimenting with using Obsidian for structured workflows, and ended up building a full QA management system inside it.

Originally this started out of frustration with traditional QA tools too expensive, too rigid, or just not flexible enough for how I like to work. So I tried going back to basics: Markdown notes + metadata + plugins.

What it turned into:

What it does:

  • Test cases with structured fields (steps, expected results, priority, etc.)
  • Test suites and linking between entities
  • Simple execution flow (pass/fail with timestamps)
  • Defect tracking connected to test runs
  • Dashboards powered by Dataview (pass rate, coverage, trends)

Everything is built on plain Markdown files, so it’s fully local, customizable, and easy to extend.

It definitely took some trial and error to get to a point where it feels like an actual system and not just a bunch of notes.

Curious if anyone else here is using Obsidian for something similar (QA, PM workflows, etc.)
or pushing it beyond note-taking?

Happy to share more details or screenshots if anyone’s interested 🙌

u/SingerConsistent5154 — 4 days ago
LLM costs and prompt leaks turned out to be bigger problems than I expected
▲ 25 r/cybersecurity+5 crossposts

LLM costs and prompt leaks turned out to be bigger problems than I expected

Been working on something recently and wanted a sanity check from people here.
While building with LLM APIs, I kept running into two things:

- costs getting kind of unpredictable depending on which model/provider was used  

- people pasting sensitive stuff into prompts without really thinking about it  
So I started putting a thin layer in front of the requests to catch obvious sensitive data before it leaves and route requests to cheaper/faster models when possible  

Nothing too fancy, just trying to solve the same issues I kept hitting. https://opensourceaihub.ai/

u/Bootes-sphere — 16 hours ago
▲ 4 r/startupaccelerator+2 crossposts

Generic Ai Generated Websites Solution

So I’ve noticed an increase in people generating AI websites to represent their brands and themselves. The issue I’ve noticed though is that all of them look the same generic AI slop. Purple and white gradients with same layouts. It doesn’t represent them or their brand.

Have you guys noticed the same?

Solution: I have been working on a website which lets users intuitively import their website and change its design in all ways, layouts, colors, etc, those are manual ways. There’s also an AI ChatBot that generates themes and stuff as per users request.

Would you guys be interested in such an app? Also would beginners who Ai generated their websites actually use this website?

reddit.com
u/Ecstatic_Suggestion1 — 4 days ago
▲ 3 r/saassignal+2 crossposts

Enterprise AI Infrastructure

Hi, we are building AiAssist, the BYOK AI orchestration platform to automate workflows && build apps, agents, assistants. We are looking for directories that are interested in revenue shares & partnerships, and also affiliate marketing partners who want to earn up to 50% revenue share.

Drop a comment if you are in. I’ll DM you more intel.

aiassistsecure.com
u/Top_Introduction_865 — 18 hours ago

We asked 15 startup founders what they'd spend their first $10k on if they had to build a tech product. The results were split 3 ways.

The answers reveal a lot about how founders think about early-stage risk.

Group 1: "Build the MVP" (6 founders) Spend it all on development. Get something in users' hands fast. Validate with a real product, not slides.

Their logic: talking to customers is great, but nothing beats watching them use your actual product.

Group 2: "Validate first, build second" (5 founders) Spend $2K-3K on landing pages, ads, and customer interviews. Only build if validation proves demand.

Their logic: most ideas fail because nobody wants them, not because they're poorly built.

Group 3: "Hybrid approach" (4 founders) Split it: $4K on a scrappy MVP, $3K on initial marketing, $3K reserve for pivots.

Their logic: you need some product to test with, but you also need to get it in front of people and have room to adapt.

Here's what's interesting: the "validate first" group had ALL failed at least once before. The "build first" group? Mostly first-timers.

Experience changes how you spend.

If you had $10K today to start a tech product - where would you put it? And has a past failure changed how you'd allocate it?

reddit.com
u/arpit2412 — 19 hours ago

Looking for a potential merger or marketing partners (could be affiliate marketers or SPAC)

Hi I’m a full stack engineer with 15 years experience. I’m 36 years old. I’m not celebrating today just wanted to be clear because I’ve seen these kids posting these days and wanted to differentiate myself from that crowd. I’m really strong in AI and Web3 and my best quality is finding bugs and hunting edge cases in UI/UX. I build systems and simplify complex operations. I’m looking for an SPAC to merge my company with or affiliate marketers to expand our network. If you’re an SPAC and you’re in the AI or Web3 sector reach out to me for more intel. If you are an affiliate marketer, web admin, or social media influencer let’s talk! Up to 50% rev share on our services is offered to start. Let’s grow together.

reddit.com
u/Top_Introduction_865 — 23 hours ago
Week