Hey folks,

I built Detect7 because I got frustrated dealing with the same problem over and over - small attacks and persistent bots hitting my websites that weren't big enough for Cloudflare to notice on its own.

The idea is simple: your web server sends its access logs to Detect7, and we analyze every single request in real time. When something looks off - an aggressive IP, a sudden traffic spike from an unusual country, a slow-ramp attack building up over hours - we handle it automatically through your Cloudflare firewall. Challenge first, block if the bad behavior continues.

We re getting close to launching Provoke on Product Hunt.

Over the last week I ve shared a bit about the problem, the workspace, the marketplace, and recording.

Over the next two weeks I ll start sharing more of the ecosystem:

• calendar

• email workflows

• media generation

• project management

• and how all of it fits together

I ve been thinking a lot lately about how our workflow as developers has completely shifted. We are moving towards "vibecoding" using tools like Cursor, Copilot, or Claude to handle the syntax while we focus on the high-level architecture and logic.

However, we all know that AI often introduces vulnerabilities into our code, such as SQL injections, API key leaks, and logic flaws.

I'm thinking of developing a platform that scans your code with high precision to detect these vulnerabilities. The idea is simple: when the platform finds a flaw, it notifies you and provides a solution or a context-aware prompt that you can simply copy and paste to solve the issue instantly.

Hey,
We're building an open source tool for creating live, interactive product demos.
Think Navattic or Arcade, but self-hosted and free to run yourself.
The repo is at https://github.com/exploitx3/liv... and our homepage is https://livedemo.ai.

We kept running into the same problem:
you build something great, but getting prospects or users to actually understand it before they sign up (or churn) is surprisingly hard.
Existing demo tools are expensive and make it painful to export or customize anything.
That felt wrong, so we built LiveDemo.ai.
Here's what it does:

Capture and replay your product as an interactive walkthrough, with no heavy instrumentation required Self-hosted so your demo content and user data stay on your infrastructure, not ours Open source under MIT so you can inspect it, fork it, and extend it however you need

We've kept setup as simple as possible.
The repo includes Docker local setup and one-click deploy for kubernetes so you can be up and running in minutes.(Will add the kubernetes manifest soon)

I m building VDC (Visa Document Checker) to help travelers catch visa document mistakes before submission.

A lot of applications get delayed or rejected over things that seem small on paper missing documents, inconsistent dates, or weak supporting evidence. For applicants, those small mistakes can be expensive and stressful.

VDC is our attempt to make the process more understandable with case-specific checklists, AI-assisted document review, and clear guidance on what to improve before applying.

Still early, but we ve already heard from a lot of travelers who ve faced the same pain, and it s clear this problem is bigger than we first thought.

What is Fundlify?

Fundlify is the ultimate product crowdfunding and pre-order platform built specifically for Shopify. It gives you everything you need to test product ideas, raise money, and manage massive product drops right inside your own store. Instead of sending your customers away to third-party crowdfunding sites, Fundlify runs the entire campaign automatically on your website. This means you keep total control over your brand, your customer data, and your profits.

Test Ideas First. Fund Smarter. Grow Faster. 

After selling my previous AI fintech startup in August 2025, I finally had the time to work on a side project I had been thinking about for a while. I became fascinated by one specific question: Can LLMs meaningfully answer questions about the future?

When I started digging deeper, I found benchmarks and platforms like ForecastBench [1], Prophet Arena [2], and Metaculus [3]. What stood out was that the results consistently suggested something interesting: LLMs are already outperforming many humans in forecasting tasks, and in some cases they are getting surprisingly close to superforecasters (experts with exceptional long-term prediction track records).

That made me think: if the benchmarks already show this potential, then the real missing piece is not the model capability itself, but the infrastructure around it -> So I started building exactly that.

The idea is simple: any user can ask a question about the future, and the system continuously tracks that question over time. Instead of giving a one-off answer, the LLM monitors developments, updates its reasoning, and improves the forecast as new information becomes available.

I just released my OSS app, this is a PGP workstation with simple and intuitive interface to operate with encrypt/sign/decrypt/verify workflow under PGP keys.

Quick question for the marketers and analytics folks here: How much time are you actually spending getting data into something you can present or share? And does it ever feel like most analytics tools are built for data people, leaving everyone else to figure things out themselves?

We noticed that the process is still surprisingly painful and manual. So we built Crunchy. Drop in your data, get back editable dashboards and insights without the SQL, the setup or the cleaning up charts in PPT at midnight.

We're running our closed beta now and launching on PH mid April, would love to connect with anyone who wishes their analytics tools were just a bit simpler.