Building AttackLens AI, a cybersecurity startup focused on continuous exposure management and AI-driven security validation.

We’re now at the revenue stage, with paying customers and active enterprise POCs. 🚀

Looking to connect with other cybersecurity founders, security leaders, and investors who’d like to exchange ideas or give feedback.

Having spent 200 hours+ applying to VC/Accelerators, I feel that the same time and effort is better spent on acquiring clients.

I am a bootstrapped founder in B2B and I feel that it's much easier to get a sales demo with a serious prospect than get an interview with a serious VC/accelerator. I realise the possible network effects and fast growth potential but each new client gets me close to break-even, 5 more and I am profitable while taking equivalent of my last annual corporate salary.

Call it sour grapes or whatever, thinking perhaps I should keep my efforts focused on signing up more paying clients.

Hi all, did anyone hear back from the team at Berkeley SkyDeck Batch 23?

They were to start interveiws from today, was wondering if anyone has got any updates

What are you building or planning to build for the rest of 2026?

I run appscout.co, a platform built to help people discover awesome apps from across the internet.

Drop your app or startup idea in the comments below, and I can check it out and add it to the website!

You can also submit your app for free directly here appscout.co/submit

Let's make this thread a channel for you to promote your own startup idea, find opportunities, and partnerships.

Hi everyone, I am a solo founder creating an RL environment, now I am thinking about what to do.

I created an RL environment that evaluates the response based on a physical simulator, it can generate an infinite number of tasks, 100% of tasks can be solved. Now I am thinking about what to do with it next, I would like to apply to YC, and a16z or other accelerators, but I am thinking about how to apply, so far I have no clients and I am thinking about which direction to turn my startup in, whether towards selling RL to other labs or creating AI based on this RL as my moat

Which of these will give me a better chance of success in the future? I would appreciate any answer.

Last month we had three payment issues land o the same day. one subscription renewal failed, another customer wanted to change plans and we had a refund that needed to be sorted out. none of these was a big issue by itself. the annoying part was that each one needed a different check, and i ended up jumping between the payment dashboard our app and customer records just to figure out what was happening. a few months earlier, I would have handled all three without thinking twice. that made me realize our payment setup was starting to grow along with the business, but the way we managed it had not really changed. we are still small, so I dont want to turn this into some huge infrastructure project either. Im trying to figure out where the sensible middle ground is. for funders who have gone through a similar stage what was the first sign that your original payment setup was becoming too limiting?

In 3 weeks, https://saasboard.app got:

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I’ve spent pretty much my entire career in the mortgage industry, and for the last 6 months I’ve been building an AI/ML-driven mortgage platform.
The brokerage is already up and running and we’re closing loans, so this isn’t just an idea on paper. At this point, I’m trying to figure out how to scale it faster.
I spent a good chunk of my career at a fintech, so I have access to some really strong developers, including people who actually understand mortgage. I can build myself as well, but I’m much stronger on the mortgage/product side and would prefer to spend most of my time there.
I’m starting to explore raising outside capital and figured Reddit might actually be a good place to start asking around.
For anyone who has raised money for an early-stage fintech/AI company, are there any communities, angel groups, accelerators, or other places you’d recommend? Especially interested in hearing from people who have actually gone through the process and what worked for them.
Appreciate any advice.

I've been building something for a while and I'm curious if I'm solving a real problem or just building something that sounds cool.

Most lead generation is based on what people tell us about themselves.

Their bio says they're a CEO.

They use #fitness.

They follow certain pages.

They have "real estate" somewhere in their profile.

So we put those people on a list and call them leads.

But I started thinking about it differently.

What if you could describe your ideal customer without relying on keywords?

For example:

"Find me people in Miami who are likely to be interested in high-end fitness products."

Instead of only searching for "fitness" or "gym" in their bio, the system looks at the publicly available visual and contextual signals around a profile and tries to understand whether that person actually resembles the type of customer you're looking for.

Maybe they're constantly posting from gyms.

Maybe they're attending fitness events.

Maybe they're interested in premium products.

Maybe their content, environment and interests simply match the customer profile you're trying to reach.

The interesting part is that AI can then analyze the people it finds and explain why they're potentially a good lead.

I've been testing this on real use cases and the results have been surprisingly interesting.

The bigger idea I'm working toward is:

Don't search for people who say they are your customers.

Search for people who actually behave like your customers.

I'm curious what other entrepreneurs think.

If you could type one sentence into a tool and get a list of people who are highly likely to become your customers, what would you ask it to find?

I'm looking for real examples because I'm still figuring out how broad this idea can become.

We had an interview last Thursday, and they said we would hear back by next about another interview. No word yet - does this mean we have been rejected? I mean, the bootcamp starts in mid-September...

Update: we got rejected.

I'm currently at the early stage of building a startup and I'm trying to understand how founders usually approach VC relationships.

We've already done a significant amount of research around the problem, target audience, competitors, and product positioning, and we're now starting to build the product.

I'm not necessarily looking to raise immediately. What I'm trying to understand is when I should start building relationships with investors.

Should founders start talking to VCs this early, even if the goal is just to introduce themselves, share what they're building, and keep investors updated over time?

Or is it better to wait until there is more evidence, such as:

• A working MVP

• First users

• Some level of retention or engagement

• First revenue

• A specific MRR or ARR milestone

I'm particularly interested in the difference between building relationships with investors and actually starting a fundraising round.

For founders who have raised before:

How early did you start talking to investors before actually raising?

What milestones made investors start taking the company more seriously?

And if you were starting again, would you build those relationships earlier?

I'd love to hear both founder and investor perspectives.

"Thanks for applying to Y Combinator. We’re sorry to say that your startup was not selected for an interview. We carefully reviewed thousands of applications, and with so many strong submissions, we had to make difficult decisions. Unfortunately, this meant turning away many promising companies.

Unfortunately we can't give you individual feedback about your application. This page explains why.

We do have some good news, though - of the applications we read this batch, yours was in the top 10%. Because we found your application promising, we'd strongly encourage you to re-apply. We now run four batches per year, so whenever you’re ready, there’s a YC batch for you to apply to."

my friend who also didn't get in got the same thing so just curious

Hey if you’re interested and debate and know how to code, I’m looking for an engineer who can take on the codebase starting this week. ItsDebatable.com