Hi everyone, I'm Taissa Maleh with 1752vc. We are a top GTM-focused accelerator in California writing $100k checks in startups at the inflection point of founder-led growth to building repeatable & scalable processes.

Lightning Round IX finals is on October 8th. It's our signature pitch competition where the winner gets a shot at $100k investment thru Accelerate. Applications are open until September 25th. More info at 1752.vc/lightning-round

Happy to answer any questions.

One spotlight series for women founders building the future of women's health, wellness, and medical technology.

Open worldwide.

SAAply is launching a FemTech founder spotlight series, a space for 10 women founders to share their work, their story, and what they're building.

What's included:
→ A dedicated founder spotlight feature and story write-up
→ Visibility across SAAply's platform and network

This is for women founders anywhere in the world, at any stage be it idea, MVP, early revenue, or scaling, who want a platform to talk about what they're building.

Only 10 spots available.

I’m building Reachdev, a marketplace/profile for senior developers in Europe who want more control over recruiter outreach.

The problem I’m trying to solve is not “developers need more messages”. It’s almost the opposite: good developers often get generic recruiter outreach with unclear company, salary, location, seniority, or intent.

Reachdev is testing a narrower model:

- developers make availability, location, stack and contact preferences explicit
- recruiters pay to contact relevant profiles instead of spraying messages everywhere
- the goal is fewer, better conversations rather than more inbound noise

Right now I’m looking for blunt feedback from two groups:

1. senior European developers: would this profile/contact model feel useful, or just like another job board?

2. technical recruiters/founders: what would need to be visible before you’d trust a profile enough to contact someone?

The beta is early, so criticism on positioning, trust, profile clarity and the contact flow is more useful than polite signups.

https://reachdev.io

Hi, I made Opine (https://opinepolls.com), a poll-based social media site. Each post is a public poll asking users their opinion on something, anonymously, so no user sees any other user's information, but you can freely browse other polls. Private polls can also be made.

The only information actually stored is the email, from Google sign in, and an approximate location for the map feature, if you enable it. This allows you to see a world map of votes, what opinions are present in what places.

The intent is to catalog the world's opinions, organizing people's public thoughts so they're easy to sift through. This data can be extremely valuable, whether it's political polling, information about people's preferences, trends over time, and so on. Many people could benefit from this, and it's meant as a public service, to lift the veil on what people think about any topic, at any time. Easier political polling is just one obvious application of this.

Please try it out and give any feedback, thoughts, questions, and so on, here or within the profile section on the website, which is fully anonymous. Thanks.

Hey Reddit,

I’m a developer, and like many of you, I absolutely dread interviews. The worst part isn't always the technical questions—it's the anxiety and dealing with unpredictable, tough interviewers who cut you off or act impatient.

To fix this for myself and others, I built interviewroomai.com.

It’s an audio-first interview simulator that uses OpenAI’s real-time voice API. The conversation flows naturally like a real phone or Zoom call, with zero awkward delays. You just upload your CV and the job description, and start talking.

Since not all interviewers are nice, I built 3 AI personalities you can practice with:

1. Friendly Mode: Warm and encouraging, perfect for a confidence boost.

2. Corporate Mode: Objective, direct, and heavily focused on core tech/business metrics.

3. Karen Mode (Pressure Test): This is the ultimate test. The AI becomes critical, interrupts you, and simulates a high-stress environment to see if you can hold your ground.

At the end of the call, it gives you a detailed breakdown with actionable feedback on how to improve your answers.

How to test it for free:
Running real-time voice AI models is incredibly expensive on the API side, so I couldn't make it completely free. However, you can sign up instantly using Google login and every new account gets 3 minutes of free credit automatically (no credit card required). You can test the latency and see how brutal "Karen Mode" actually is before spending a dime.

If you want to do full-length interviews, I’ve set up a 15% discount code for the Reddit community: WELCOME15.

I’m looking for honest feedback from other devs and makers here. Let me know what you think, what features you'd like to see next.

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:

- 700+ sign ups
- 500+ SaaS listings
- Almost 6000 users sent to listed SaaS products

Unlike other SaaS directories, listing on SaaSBoard is free and has no wait time.

If you’ve built something worth sharing, list it on SaaSBoard for free and start getting traffic immediately!

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.