Hey everyone Andrew here, founder of Koalr. We just launched.

Koalr scores every pull request 0 100 for production risk before it ships. It uses 36 research based signals things like file change blast radius, author expertise drift, CODEOWNERS violations, CI history, and time-of-week patterns to flag risky deploys before they become 2am incidents.

It connects to GitHub in minutes, no code access needed we only read metadata.

Hey everyone!

I'm launching Lihenium: Scan PDF & Vault on Product Hunt this March 31st!

It's an all-in-one document app I built completely solo:

Smart Scanner with auto-crop

Ever renamed a property in your code only to have bugs pop up after deployment? I found a battle-tested trick to catch these mistakes at compile-time with zero runtime cost. Introducing validatePath a clever helper that forces your compiler to verify property names exist in your objects, even nested ones. Say goodbye to typo-driven bugs and hello to safer, cleaner code.

Curious how it works? Learn how TypeScript template-literal types and mapped types combine to give you autocompletion and compile-time safety for object paths. Get real coding examples from user profiles to e-commerce orders and analytics configs.

Hey Hunters! We re tired of "Managed WP" being a synonym for "Slow WP." Meet SyndockEngine.

Click "Deploy" and in 90 seconds you get a production-ready site with an "A" grade on GTmetrix. No plugins required.

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 used to have everything blocked. Deep work 9 11. Admin 2 3. The whole calendar looked like a disco.

And I'd spend 20 minutes every morning moving the blocks around because the day never actually went to plan.

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.

Just wanted to share some exciting news - we've welcomed 50+ new Etsy sellers to ListsGenie in just the past 2 days!

The response from the Etsy community has been overwhelming. Sellers are loving how our AI instantly transforms their product images into SEO-optimized titles, descriptions, and tags.

What's driving this growth:

One-click listing optimization

One thing I have learned as a founder: some of the best products not only save time or money, but also reduce stress.

For me, that meant building ImmigrantVLI, an AI assistant to help people better understand the U.S. immigration system. It s been emotional hearing from users who finally feel a sense of clarity.

So now I am Interested:

• What problem are you solving that s more about peace of mind than profit?

• Are there any underrated use cases where technology can ease emotional or mental burdens?