The idea is fairly simple: the system is built around the dynamics of a non-equilibrium medium. There are no hard thresholds or conventional if-else rules, no forecasting algorithms and no AI. It responds to market shocks through mathematical conservation laws, with its internal state adapting to changing volatility. It's still an experimental system, not yet a prototype, but the simulation of physical states is already showing some interesting results. I'm approaching the problem through concepts borrowed from quantum mechanics, thermodynamics and statistical physics. These fields deal with complex systems where tracking every individual element and predicting its exact future state isn't always practical. Rather than trying to predict market direction, the engine continuously processes incoming exchange data through an evolving physical model. Each component affects the others, and the overall behavior emerges from their interaction. There's no learning from historical trades, searching for profitable patterns or memorizing winning combinations. What interests me most at this stage isn't individual trades, but how the system behaves as a whole during a session. The main thing I'm watching is how it handles energy and accumulated pressure. One encouraging change is that drawdowns have become considerably smaller than in earlier experiments, even under highly unstable market conditions. That's an important milestone. It suggests that the underlying mechanics may actually be working. The goal isn't to guess which way the market moves. It's to build a system that can absorb external pressure, redistribute energy, neutralize negative charges and eventually bring session equity above its previous all-time high. Video showing the draft in action (transactions and data can be found via the link in the video description): https://youtu.be/9FfTlnbw_xE

P.S. And yes, I require funding and a bit of assistance (data collection).

Hello everyone!

We're excited to introduce Nudge to the Product Hunt community!

I'm a computer science student exploring an idea for a personal finance app, and I want to validate it before investing time in building it.

One problem with expense trackers is that logging every transaction can feel tedious. Filling out forms, selecting categories, and entering details can make people stop tracking their expenses altogether.

Hello! I m building an AI writing platform designed specifically for giving writing feedback, unlike a general AI chatbot. It provides detailed feedback, tracks your progress overtime, remembers past assignments, and explains why changes should be made so you can become a better writer.

If you're willing to spend a few minutes trying it out, I'd really appreciate it. If you find it useful, feel free to create an account and let me know what you liked, what confused you, and what features you'd want to see next.

Here's the link: https://writing-agent.app

Would you use this website? Do you prefer this over Chatgpt or Claude? Let me know!

I built InsiderPrint because every insider-trading tracker I tried did the same thing: CEO bought $5M of stock and nothing else. No context, no downside.

The problem is that most insider buys don t beat the market. In our data only about 46% of them beat the S&P 500. So an insider buy alone isn t a signal. The context is.

So I built Spy Mode. Press Spy on any insider trade and in a few seconds it:

Hey everyone!

I've been building fast, clean, responsive web tools to make everyday calculations easier. Recently, I launched [The CalcYard](https://thecalcyard.com/) which features a collection of free online calculators.

When I managed sales teams, weekly reviews could easily become a round of numbers followed by we need to do better next week.

The harder part was agreeing on useful actions, providing coaching and following up while dealing with everything else during the week.

For founders managing their first sales hires and experienced sales managers alike, how do you keep those commitments visible between meetings?

Do you use your CRM, a shared document or a separate coaching tracker? What has actually stuck with your team?

Hey Product Hunt!

Most ambient sound and focus apps follow the same playbook: they put simple 15-minute MP3 recordings behind forced signups, aggressive annual paywalls, and background tracking cookies.

As a solo indie builder, I wanted something lightweight, uncompressed, and genuinely private. So I funded Vyneural out of my own pocket and built it from scratch.

What makes it different?

Hey everyone, I'm Jerry I'm a pilot, and tomorrow PilotPrep goes live on Product Hunt.

It's an AI examiner that runs mock checkride orals for PPL, IFR, and CPL students. Voice or text, real DPE-style follow-ups, and a report scored against the ACS when you're done.

Hey makers

We launched Shovra here on Product Hunt, a tool that turns your design screens into portfolio-ready case study visuals by placing them into web, mobile and tablet mockups, without altering a single pixel.

Shovra is now also available as a free Figma plugin. You can turn your designs into portfolio-ready visuals without leaving Figma.

You select your frames and hit Create.