I ve been working on a programming language called Sere.
The basic idea is to combine Python-like syntax and readability with the performance and lower-level capabilities you d expect from languages like C++ or Rust. Sere is compiled, statically typed, and built around LLVM, with features aimed at both application development and systems programming.
I started it because I wanted something that felt pleasant to write without giving up things like native compilation, generics, memory control, async programming, and C/C++ interoperability.
It s still actively being developed, so there are definitely rough edges, but the compiler, docs, tooling, and language itself have come a long way.
As someone who works extensively with technical SEO and web development, implementing correct structured data is one of the most effective ways to help search engines understand entity relationships and grant rich snippets.
Capsemble is taking shape to take the stress out of organising events and help people stay present for the moments that matter.
We began by solving a familiar problem: bringing guests photos, videos and messages together instead of leaving them scattered across dozens of phones.
Makers, we are all too close to our own products. I see so many brilliant tools launching with headlines that are way too tech-heavy or confusing for the average user. Post your current landing page headline below and tell me exactly who your target customer is. I ll reply with 2 or 3 cleaner, high-converting copy alternatives as an English major.
As an SEO specialist and builder, I frequently need a quick, reliable word-counter tool to check content limits, character counts, and estimated reading time during optimization workflows.
When inspecting low-level network packets, analyzing API payloads, or debugging software data streams, raw output often appears as arrays of decimal or hexadecimal bytes. Translating those raw byte values back into readable ASCII/UTF-8 string characters manually can be tedious during active debugging sessions.
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
