Hi everyone!

Over the past few weeks I've been building Launch Pilot, an AI tool designed to help founders validate SaaS ideas before investing months into development.

Instead of using one generic AI prompt, it runs multiple specialized evaluations that look at areas like product clarity, validation, launch readiness, and potential risks before combining them into a structured report.

The goal isn't to replace user research it's to help founders identify obvious gaps and blind spots earlier.

Hey PH community!
We re preparing to launch Riftur, an AI tool within the gap analysis space that helps you compare two documents and instantly see what s missing, incomplete, or inconsistent. It s designed for anyone who works with requirements vs. deliverables proposals, audits, compliance matrices, education materials, internal SOPs, etc.

We ll be going live on Product Hunt soon, but before we do, we d love to gather some early feedback from this group:

• Does the problem/solution resonate with you?

• Which use cases feel strongest?

• What would make the product more appealing ahead of launch?

Really appreciate any thoughts. Excited (and slightly nervous) to share Riftur with everyone soon

I ve spent years in marketing, and there s one thing that always drove me crazy: The massive gap between what Meta claims is happening and the reality of our bank accounts.

Meta loves to show us link clicks and high CTRs to keep us spending, but we know that many of those clicks are just ghosts accidental taps, bot traffic, or low-intent engagement that never reaches the checkout page.

Most sleep technology tracks your sleep. Cool, but what if you need help falling asleep in the first place?

We're building for the period when you're still awake. Think of it like an off-ramp for your busy mind.

Ten minutes before a hackathon demo, my coding agent misread a prompt and deleted the project it was supposed to be presenting.
We lost. Obviously. But what stuck with me was how it happened: nothing in the loop asked whether that action should run before it ran. The agent had my full trust on every tool call, all the time, no exceptions.
That gap turned into Doberman. It's an open-source, local-first authorization layer for coding agents. Every shell command, file write, and MCP call gets exactly one verdict before it executes: pass, pause for a human, or block outright, no matter what the agent decided on its own.
I'm Alan. It's Apache-2.0, Python 3.11+, with around 2,000 tests in CI right now. It hooks into Claude Code, has an experimental Codex CLI hook and a native OpenClaw plugin, and transparently proxies everything else that speaks MCP.
It's currently in the Alpha stage with a lot of bugs so would love for you too break it. Submit any issues you find it and I promise to have it fixed within a week.
If a coding agent has ever done something like this to you, I want to hear the story.
Github: https://github.com/DobermanCore/...

I'm the independent developer behind MonoProxy. I built it for a narrow testing problem: the proxy laptop had become another dependency whenever I needed to check whether a phone, tablet, TV, or test device on the same LAN could actually connect and move traffic.
MonoProxy 2.4.0 runs one local endpoint on an iPhone or iPad for HTTP, HTTPS CONNECT, plain WebSocket, SOCKS4/4a, and SOCKS5 clients. The part I found most useful was separating three states that are often collapsed into one green light:
1. Listening: the endpoint is ready.
2. Client Connected: another device reached it.
3. Traffic Verified: bytes actually crossed the proxy.
The 2.4.0 update also focuses on the cases that expose weak proxy implementations: large downloads, regular and chunked uploads, Range requests, long-lived sessions, and network recovery. A local setup page gives nearby devices the current host, port, PAC details, and platform-oriented commands.
The limits are intentional. This is a local-network tool, not a VPN or a remote proxy service. It does not install a certificate or decrypt HTTPS, and iOS can still suspend networking after the app leaves the foreground.
Product details and screenshots: https://proxy.monoware.app/
App Store: https://apps.apple.com/app/apple...
For anyone who tests devices on a LAN: which part usually fails first for you reachability, proxy configuration, authentication, or proving that real traffic moved?

PBLZ : Super simple work tracker app
https://pblz.work/home/index.html

I created a simple landing page for this project.

I did everything myself except for the hosting, using only a cursor. Since I'm a designer without much coding experience, I feel like there are some awkward elements.
Can you give me some candid feedback on what's lacking in my website, including development, marketing, SEO, and design? If there are critical issues, I d like to fix them (even though the 100% launch might be delayed...).
Let's show the power of the PH community.

Last spring, I asked ChatGPT, Perplexity and Gemini the same buyer questions ("best X for Y") via live API and logged who they recommend. Two numbers rewired how I think about AI search visibility:

• On ~98% of commercial questions, the engines name specific brands.

• All three engines agreed on a common pick on just 56% of questions.

Bonus: Perplexity's most-cited source is Reddit on ~87% of questions.

I'm building Foresee, and I'm looking for early users to test it.

One thing I want to make very clear:

Foresee doesn't claim to predict the future.

It takes a situation you're uncertain about and helps you think through plausible outcomes based on the information you provide.